Supercharge Your Business with These 11 Hot Tech Trends
Technology is having an ever-greater impact on our personal lives and most importantly on the way we do business. The business world has transformed rapidly in the past few years and it will evidently continue to change the pace of business in the years to come. Whether it is the production of goods or the computing devices used at the office, new technologies have helped businesses run smoother and more effectively. As information travels more quickly and reliably, businesses are realizing how easy it is to grow globally and across multiple sectors. To gain benefits, however, businesses must keep up with technology and adopt new trends. This article discusses 11 tech trends to look forward to in the next couple of years. First, let us understand what drives these tech trends, and then we will consider their impact on businesses.
What Will Drive the Evolution of Tech Trends?
Two major reasons for the evolution of all kinds of tech trends are our day-to-day business challenges and the passion for innovation. As an intelligent being, it is normal for human beings to innovate to live better. However, from a business standpoint, it is about optimizing all that humans are capable of accomplishing and that includes making profits.
1. Greater predictive levels and programmability will reshape cybersecurity
Cybersecurity will be one of the prominent IT functions to mature. New technologies will bring about a fundamental shift in cybersecurity as they enable greater predictive capabilities and programmability. It will become more predictive with the use of large-scale data along with AI, analytics, and machine learning. As a general rule, the more we have, the more difficult it becomes to protect it from thieves. That is not the case with immense data accumulation. Even as data increases it will become easier to determine and match patterns to both predict and shut down any attack vectors.
As every element of infrastructure becomes programmable, you can put a firewall inside the software of all virtual machines in your architecture, thus limiting the flow of data within the software. This will eliminate the need of storing data on a network from where the data can easily be hacked or stolen. Businesses will continue to see this capability emerge as programmability improves.
2. Promise of serverless computing
According to IDC’s prediction, “from 2018 to 2023 — with new tools/platforms, more developers, agile methods, and lots of code reuse — 500 million new logical apps will be created, equal to the number built over the past 40 years.” Currently, we are witnessing a distinct change in the application infrastructure with most businesses moving to cloud-native applications.
There are four distinct computing models that are evolving simultaneously such as virtual servers, physical servers, container-based computing, and serverless computing. Virtual servers and container-based computing make it easy to move applications. Whereas the promise of serverless computing offers greater agility and cost savings as the applications do not need to be deployed on a server. Alternatively, functions can be run from a cloud provider platform. It can return outputs and instantly release the associated resources. As businesses see a change in the infrastructure, they will have to make choices about how they approach development.
Accelerated in part by the long-term shutdown due to COVID-19, industries that design and manufacture products will quickly adopt cloud-based technology trends to aggregate and intelligently transform. In a couple of years, these intelligent algorithms will allow manufacturing assembly lines to optimize towards increased levels of output and enhanced product quality thereby reducing the overall waste in manufacturing by half.
3. IoT and Edge
IoT and Edge can rightly be termed as superpowers of the tech world. The developing, managing, and running of widespread IoT and Edge applications will grow in complexity with numerous endpoints. For example, audiovisual technologies are being used to achieve the same input as you would get when you connect numerous IoT sensors. When compared to individual sensors, these tech trends provide reasonable mass coverage at a minimum cost. This is only possible when AI and ML are integrated into the IoT platform. Powering and maintaining thousands of sensors is a daunting prospect. Audiovisual solutions can thus make this a significant growth area. As a result, these changes will have a profound impact on how the businesses get value out of new data that they are able to collect and process.
Read more: Gearing up for IoT in 2020
4. Everything will revolve around data
Enormous amounts of data collected from IoT devices and digital platforms can now be made available through application programming interfaces for business insights, analysis and to develop other applications. Collecting information from a sufficient amount of data-points enables you to model behavior and understand patterns and come to more accurate conclusions quickly with minimum cost. With abundant data from multiple touchpoints and new analytic tools, businesses are able to customize products and services by creating ever-finer consumer microsegments. Businesses that do not build around data will find themselves swamped by its enormity.
5. Voice control is the next evolution of human-machine interaction
The advent of voice technology such as Apple’s Siri, Google’s Assistant, and Amazon’s Alexa is disrupting businesses as it creates a three-way interaction between devices, services, and people. It has completely changed the way consumers interact with smart devices.
According to recent research, by 2024, the global voice-based smart speaker market could be worth $30 billion. This technology trend has a huge impact on how online searches will happen. Businesses will have to adapt their way of promoting their products and services. It will also affect the way companies are organized as internal knowledge can be shared more easily which improves the possibility of multitasking. This will result in increased productivity.
In the next couple of years, we will see a transformation of voice technology from being an information tool to a transaction tool. It offers the possibility to directly order from brands and perhaps even pay.
6. Blockchain platform market
Blockchain started as an offshoot of the cryptocurrency movement. Now, it is evolving to find use cases beyond just the international settlement areas. According to Gartner, Blockchain will grow to slightly more than $176 billion by 2025 and continue to exceed $3.1 trillion by 2030. The marriage of Blockchain and Artificial Intelligence can significantly change the nature of transactional businesses. This is possible as Blockchain is a decentralized unchangeable space for encrypted data and AI will assist you in analyzing and interpreting that data quickly and reliably to drive actionable insights. There is great potential for this technology to have an immense impact on cybersecurity.
7. Seamless blend of the digital twin
Applied technology will intersect between the physical and digital worlds, the digital twin. For example, the digital twin will have a perfect digital copy of the physical world. Applied technology will allow you to blend these two worlds seamlessly. The resulting immersive environments will have a pervasive impact on the industry. This twin will allow you to collaborate virtually, simulate conditions quickly, understand what-if scenarios clearly, predict results more accurately, and more. Most businesses are already aware of the benefits of applying the digital world to enhance the physical world. They are digitizing physical processes to reduce inconsistencies, redundancies, and human error.
This pandemic has shown us that communication is not just for work but is required to form real emotional connections. In the next couple of years, AI technology will be used to connect people at a human level and drive them closer to each other. There has been a lot of concern over the security of video conferencing companies. However, these concerns will move companies to ensure that they provide secure digital connectivity for their consumers.
Being a secure video conferencing software, InfinCE has been a game-changer for enterprises of all sizes. Click here to explore
8. 5G will be the game-changer
5G has innumerable use cases beginning from healthcare to more reliable security. With 5G, the audio-video experience will be faster and clearer than it has ever been. On the flip side, 5G will enable businesses to provide remote opportunities for their employees with work experience that would be similar to that inside the office. It will bolster recruitment and retention efforts for top talent.
As more businesses move their critical tasks to the cloud, employees will become increasingly productive from wherever they work and with whatever device they use. Though currently, 5G coverage is limited, according to Ericson’s Mobility report, 5G subscriptions could cover up to 65% of the world’s population by 2025. Businesses that anticipate and embrace these emerging technology trends will see a positive impact in the years to come. Low latency 5G networks can help resolve the challenges caused by the absence of reliable networks and can facilitate more high-capacity services. Private 5G networks can offset the high cost of mobility with economy-boosting activities.
9. Data lakes enable new analytic models
Data lakes are storage repositories that contain quantitative and qualitative data. Data lakes enable new models of predictive analytics and help unlock the potential of digital twins. Since they can hold enormous amounts of data, organizations can leverage the insights, including discrete data points to create a ‘digital twin’ of each customer. You can gain access to customer details such as demographic data, browsing behavior, purchasing patterns, and payment preferences. The ability to gauge qualitative data will increase the demand for robust ERP systems and AI-driven automation. This would mean that businesses should acquire the skills to set up, manage, and secure their data lakes and build data models that will help extract the insights they require for ongoing innovation.
10. Sophisticated sentiment analysis for real-time insights
Sentiment analysis uses techniques to interpret and classify the ‘mood’ of your customers. Sophisticated sentiment analytical tools allow businesses to recognize the customers’ sentiment towards a product, a service, or a brand. It can also be used by the businesses to respond to the feedback with a proactive approach. It allows businesses to understand how people are feeling in real-time and proactively position products, services, and visual merchandise. In the future, this technology will be used in addition to tools such as conversation intelligence, text analysis, and natural language processing. It can enable innovation on demand. Businesses will find it advantageous to incorporate sentimental analysis into their data analysis in the areas of customer feedback, marketing, CRM, and e-commerce.
11. Micro-fulfillment for e-commerce fulfillment
Robotics has turned around numerous industries except for a few sectors such as grocery retail. With the new robotic application termed micro-fulfillment, grocery retailing will no longer remain the same. Micro fulfillment allows you to convert personal garages into storage spaces and can operate 5-10% more economically than a brick and mortar store. This rising trend is captured in tiny, urban warehouses that leverage high-end automated systems to complete online orders with greater efficiency. These centers are used to deliver goods rapidly, in as fast as an hour. Robotic arms can be used to pick up items. The application of robotics downstream at a ‘hyper-local’ level will disrupt the grocery retail industry. This technology trend will unlock wider access to food and a better customer proposition such as product availability, speed, and cost.
How Technology will Continue to Disrupt Businesses?
The transformative potential of innovative technology trends is exciting businesses today. It will change the way businesses plan, start, manage, operate, market, and make a profit. The next couple of years will see profound improvements in addressing most business challenges as organizations develop and deploy solutions that will deliver tangible results. Driverless cars, 3d printing, artificial and business intelligence tools, robotics, and IoT are just a few examples of how technology has transformed or disrupted the business world and has the potential to continue to disrupt.
The COVID-19 pandemic has necessitated worldwide collaboration, transparency of data, and speed at the highest levels to navigate the human and business impacts. Now is the time to recognize and support the opportunities for technology trends that can best and most rapidly address business challenges. Partner with us to capitalize on these trends and scale your business quickly.
How Can Your Business Benefit from Fog Computing?
How much data do we create every day? The World Economic Forum reports that the entire digital world is expected to reach 44 zettabytes by 2020. So, each day, we witness the colossal growth of data and this pace is only increasing with the growth of IoT. The agility and flexibility of big data applications are the foundation of the Internet of Things (IoT). The escalation of IoT has resulted in an increased volume of digitally generated data and managing that data has become a major challenge. This has led to the emergence of fog computing – an answer to the new challenges of computing technologies.
Read more: Gearing up for IoT in 2020
Defogging The Term Fog Computing
Let us start by defining it.
What is fog computing?
Fog computing is a decentralized computing infrastructure in which computing resources such as data, computers, storage, and applications are located between the data source and the cloud. This term refers to a new breed of applications and services related to data management and analysis.
According to Mung Chiang, Dean of the Purdue University, “fog provides the missing link for what data needs to be pushed to the cloud, and what can be analyzed locally, at the edge.” In simple terms, fog computing is a distributed network fabric that stretches from the outer edges of data creation to the point of storage.
Are fog computing and edge computing the same?
Edge computing is a subset or a component of fog computing. For example, if fog computing is compared to a basket of various fruits, edge computing would be one fruit from a single variety.
Edge computing refers to data being analyzed locally, at the point of creation. Fog computing encapsulates edge processing as well as the network connections required to bring that data from the edge (point of creation) to its endpoint.
Evidently, fog computing and edge computing are complementary.
Difference between fog computing and cloud computing
Just as the literal fog is a cloud closer to the ground, fog computing is stationed as a layer to reduce the latency in hybrid cloud scenarios. Cloud computing forms a comprehensive platform that helps businesses with the power to process important data and generate insights. Fog computing is like the express highway that supplies computing power to IoT devices which are not capable of doing it on their own.
How Does Fog Computing Work?
Fog computing uses the concept of ‘fog nodes.’ These fog nodes are located closer to the data source and have higher processing and storage capabilities. Fog nodes can process the data far quicker than sending the request to the cloud for centralized processing.
The cloud is getting cluttered due to the enormous number of devices connecting to the internet. Since cloud computing is not viable in some cases, it has become necessary to use fog computing for IoT devices. It can handle the enormous data generated by these devices.
When implemented, fog-empowered devices locally analyze time-critical data that includes alarm status, device status, fault warnings, and so on. This minimizes latency and prevents major damage. Fog computing can effectively reduce the amount of bandwidth required, which in turn speeds up the communication with the cloud and various sensors.
Fog computing example:
If a user with a hand-held device wants to review the latest CCTV footage from a locally positioned IoT security camera, he would need to request the stream from the cloud since the camera does not have storage. This could take a bit of time, which can be eliminated with fog computing, where a local fog node can be accessed for video streaming which is far quicker.
Step-by-step Fog Computing Process:
- Signals are wired from IoT devices to an automation controller which executes a control system program to automate those devices.
- A control system program wires data through a protocol gateway.
- Data is converted into a protocol such as HTTP so that it can be understood easily by internet-based services.
- A fog node collects the data for further analysis.
- It filters the data and saves it for later use.
Key Takeaways for Your Business
- Increased business agility: It is evident that fog computing is cost-effective because it makes the production of revenue-generating products and services more efficient. It accelerates rollout cycles, broadens revenue bases, and reduces costs.
This revenue stream creates value for IoT fostering highly functioning internal business services. Fog computing also provides a common framework for seamless collaboration and communication helping OT and IT teams to work together to bring cloud capabilities closer.
- Privacy control: Fog computing facilitates better control of privacy because you can process and analyze sensitive data locally instead of sending it to a centralized cloud for analysis. It also enables the IT team to track, monitor, and control any device that collects or stores data.
- Data security: Since fog computing allows you to connect multiple devices to a network, it helps identify threats such as potential hacks, or malware. Additionally, such identified threats can be curbed at the device level without risking the entire network.
The Future is Fog Computing
Fog computing has several advantages over cloud computing. Fog computing can boost usability and accessibility in various computing environments. Soon, cloud computing for IoT may fade away but fog computing will take over. IoT is seeing an impressive growth rate and so it needs a special infrastructure base that can handle all its requirements. Fog computing is the key to accomplish this critical work. So get in touch with us and let’s get this happening for your business.
How to prepare for IoT in 2020?
It’s 2020 already and the Internet of Things (IoT) is here to stay. We’re at the cusp of a new era wherein intelligent digital connectivity is a part of our day-to-day lives. Gartner predicts that there will be 25 billion connected devices by 2021. Thus, IoT has made its presence felt across various industries.
Upcoming IoT trends that can shape the business landscape
1. Industrial IoT and Digital Twin technology:
IoT has made manufacturing smart, efficient and less risky. Using digital twin technology, organizations can access the context, structure, and behavior of an asset. Thus, you have the information regarding the past and present state of an asset with an ability to look into the future. Organizations are therefore receiving warning alerts and predictions faster than ever before. Investing in a digital twin can be a part of your IIoT strategy so that after implementing sensors into your machines, you can document their operations and fine-tune them.
2. Computing would be balanced between the cloud and the edge:
While those new to IoT consider cloud as inevitable, high data transmission costs for remote business environments have moved computing to the edge. In many industrial sectors, shifting some analytics intelligence to the edge may prove cost-effective. With edge devices becoming more affordable and centralized infrastructure becoming more stressed, there would be a balance between cloud and edge.
3. Sustainability will become important:
Sustainability efforts have become a key business priority across the globe. The World Economic Forum reports that IoT projects can help to accomplish the UN’s 2030 Agenda for sustainable development. IoT can have a large impact on global sustainability as it connects people and things. IoT can be used to reduce e-waste, promote agricultural sustainability, save energy, protect species, reduce emissions and so on.
How to gear up for the IoT boom in 2020?
While IoT promises attractive growth potential, many companies lack the technical capabilities and know-how to make their IoT projects work. A recent survey found that almost 75% of IoT projects end up as failures. Following are some of the ways in which you can prepare for the IoT surge:
Related Reading: IoT Implementation: Common Mistakes And Strategies To Tackle Them
- Plan Ahead: The major challenges that cause IoT projects to fail are budget overruns, limited internal expertise, long completion times, lack of proper data. All of this boils down to planning. You need to organize your projects, asses your budget needs, calculate the time requirements and assess whether your team has the expertise to handle the project. If you lag on any of these points, it is better to postpone the project rather than not finishing it at all.
- Establish partnerships: Implementing IoT products can be very taxing due to the complex technology involved. The task can become almost unmanageable without a network of partners. You can establish partnerships for technological expertise or data and content delivery. Pioneers like Facebook, Amazon or Google have built entire ecosystems by establishing partnerships with hundreds of thousands of specialized developers.
- Integration: Successful IoT implementation requires robust connectivity, infrastructure, and seamless integration of your enterprise application/ systems with proper third-party wares. Challenges such as integration of the IoT platforms to enterprise applications and integration of edge/ cloud computing devices to the IoT platforms are most prevalent. By forming a strong IoT solution team with IoT architects and other subject matter experts, you can solve challenges across the IoT solution landscape.
- Ramp up the security: Cybersecurity is going to be one of the biggest risks in an increasingly connected world. Since everything that can be connected to the internet is exposed to a security risk, it is critical to secure every connected device. You need to be prepared with a game plan to tackle such types of data breaches. If you find that your business is ill-equipped to meet the security needs of your IoT network, don’t worry; you can always outsource.
Related Reading: The Pros and Cons of Outsourcing Mobile App Development
- Data storage: IoT is all about data. Cisco estimates that IoT devices would generate about 847 zettabytes of data per year by 2021. You can invest in your own local data storage system (which would be expensive) or you can find a cloud storage provider. Edge computing is another possible solution that is preferable over the aforementioned ones. In this system, the data is pushed to the ‘edge’ for quick access and to prevent data overload.
- Be ready to transform: Partnerships are important. But you’ll also have to set up your own software and big data capabilities which are far beyond the existing levels. The team should focus on transforming itself into a technology company that understands the capabilities of IoT. Be responsive and address all concerns that rise up during the course of the project.
- Innovate dynamically: A dynamic operating model requires cooperation. Innovative approaches like hackathons can be used to advance new ideas that meet the market demands of the digital world. Having the courage to take risks is an important part of dynamic product development. Even if ideas fail, it is important to keep trying and be consistent.
The Internet of Things (IoT) is set to bring about lasting changes across various industrial sectors. Business leaders who stay agile can rest assured that they won’t be left behind.
Need any tips on how to harness the power of IoT in your business? Contact us now!
Evolution Of The Digital Twin Technology
What is a digital twin? Digital Twins can be best defined as digital copies or virtual replicas of physical assets. Data scientists can make use of digital twins to try and run simulations before they build and deploy actual devices. Digital Twin technology transforms the way in which the Internet of Things, Artificial Intelligence, as well as, Data Analytics is optimized.
The concept of ‘digital twin’ rewinds back to the year 1970 with the launch of Apollo 13. NASA’s digital twin model of Apollo 13 was a famous rescue mission to assess space monitoring conditions. The concept of Digital Twins later gained recognition in 2002 at the onset of a presentation by Challenge Advisory at the University of Michigan. According to Gartner, the digital twin is one of the top 10 strategic technology trends since 2017. Gartner estimates 21 billion connected sensors and endpoints by the end of the year 2020!
Related Reading: Checkout in detail, where and why should you invest in IoT.
Digital Twins: Enhancing IoT Enabled Industries
Data scientists build digital twins that can receive input from sensors that collect data from its real-world counterpart. The twin is then allowed to simulate in real-time. This process provides critical insights and feedback that helps in analyzing the actual system’s performance. For instance, a twin car can be built digitally by validating various inputs to check on factors such as safety, mileage, etc.
Digital Twins impact various IoT-enabled environments such as manufacturing, automotive, healthcare, financial services, urban planning and many more. The major IoT-enabled industries that can leverage the benefits of digital twin technology and how they benefit from it are as follows:
- Manufacturing Industry: The Digital Twin concept with the IIoT (Industrial Internet of Things) is implemented in the manufacturing domain. It can be designed and deployed in numerous ways such as in tracking and monitoring systems, evaluating production, troubleshooting equipment used, etc. As digital twins can predict failure chances, it helps in saving costs, time and in improving customer loyalty.
- Automotive Industry: The future of autonomous vehicles lies on well-connected road systems and vehicles. Critical data gathered from this network. The digital twins then act as simulated models that help engineers analyze the behavior of vehicles before they are used on roads.
- Healthcare: Medical monitoring technology is used to gather critical data such as heart rate, oxygen levels, etc. This data is used in the creation of digital simulations. Digital twins help the healthcare ecosystem in disease diagnosis, remote monitoring of patients, etc.
- Urban Planning Sectors: Vital data such as maps, blueprints of buildings, real-time data from sensors, etc are used to create digital twin models to improve urban planning services. These services include waste disposal, mobility services, providing resources like electricity and water, etc.
- Asset Management: Both worksite and remote industrial operations can be managed via digital twins with the help of remote asset monitoring services. Predictive maintenance of assets like machinery improves operational efficiencies and decreases disruption of business operations. Digital twins can also be converged with augmented and virtual reality techniques for better visualization of industrial workflows.
- Financial Services: Customer behavior can be easily monitored with digital twin technology. It helps in creating personalized profiles for individuals via data analysis of their previous behavior in buying decisions etc. It can also simulate cash flows and balance sheets. Client needs can be analyzed better by insurance firms and asset managers and can thus provide personalized experiences for their customers.
Digital Twin Technology: Fostering Innovation In IoT-Enabled Environments
According to Gartner digital twin will be used by 50 percent of the industries in 2021. This will result in a 10% improvement in operational efficiency in these IoT-enabled organizations. The digital twin technology is the most important Industry 4.0 technology that is available today.
It helps in automating decision-making processes, providing critical insights into dynamic recalibration of products and other equipment in the industries, monitoring the manufacturing processes and production lines, etc.
The digital twin technology helps in monitoring manufacturing components, assets, and critical processes in real-time. Also, it helps in improving OEE (Overall Equipment Effectiveness), increasing product quality, enhancing traceability, reducing wastage and boosting overall efficiency.
Main Data Elements in Digital Twin Technology: Key Benefits For Improved Innovation
There are three main elements in digital twins such as Past, Present and Future Data that improve efficiency in IoT-enabled industries. The past data is the data from the previous performance of individual machines etc. Present data is the real-time data from sensors, whereas the future data is the data received from machine learning algorithms and various inputs from engineers.
The key benefits of Digital Twin IoT enabled industries are as follows:
It is important for an IoT-enabled environment to understand the relationship between different types of data within its network. This IoT data can be extracted and enhanced in the form of knowledge graphs. This helps in automating processes and improving decision-making.
Increased ROI Generation
A decline in revenue is mainly due to the downtime of machines. The digital twin technology can reduce downtimes, prevent failures, and increase the life-span of machines. This not only improves productivity but also brings down the operational costs significantly and improves revenue generation.
Digital twins provide a platform that enables IoT-enabled industries to be prompted constantly about production, operation and management activities. The virtual testing platform that it provides, simulate the real-world data into critical and meaningful insights. In addition to being a scalable solution, it also self-diagnoses problems. This makes it easy for industries to make human-machine interaction efficient and productive.
Digitizing The Whole Industry Ecosystem
There is a rapid adoption rate of digitizing operations by industries day-to-day in order to achieve positive business outcomes. This is made possible with the steady data flow from the environmental and operational sectors of the IoT-enabled industries.
This up-to-date and personalized data maximize profitability and productivity. In addition to being a high revenue opportunity, the digital twin technology also digitizes the working assets and processes in its entirety.
In a nutshell, the benefits that can be leveraged from digital twin technology for IoT-enabled industries are as follows:
- Reliable operations and management of equipment and production lines
- Increased Overall Equipment Effectiveness or OEE achieved via reduced downtime.
- Increased ability of customers to remotely configure products.
- Significantly reduced maintenance costs due to preventive measures taken that aid in finding out chances of failures or machine breakdown, etc.
- Improved production cycles leading to reduced downtimes.
- Better productivity
- Considerably reduced risks in areas of product availability, product failures, services, maintenance, etc.
- Provides critical insights of past, present and future data in real-time environments.
The globe is yet to witness over 50 billion connected devices by the time period of 2020-2030 and over 7 billion customers using the web worldwide.
For an immersive experience on how to transform your IoT-enabled industry or business with the Digital Twin technology, call us right away. We will help you gather brilliant strategies on fostering innovation with specific digital twin models!
A Step-By-Step Guide To Digitize Your Business With The Internet Of Things
According to Gartner, 20.4 billion connected things will be in use worldwide by 2020. The implementation of IoT witnesses a new wave of progress in businesses. Technology has undoubtedly become the catalyst for many innovations. In a nutshell, the obvious key benefits of IoT implementation have been faster and efficient production, improvement in quality, replacement of paper-based workflows, and so on. But is the Internet Of Things just limited to a few of these advantages? Let us walk through the major features in IoT that lets various industry verticals go digitally successful.
Related Reading: Read more about where and why should you invest in IoT.
Benefits Of Digitizing With IoT: Step-By-Step Guide That Will Transform Your Business
Digital Transformation is employed by many industry verticals to leverage the benefits of digitizing with IoT for building their brand, improving ROI, connecting with customers, and many more. The first IT revolution commenced with the advent of the Internet and e-commerce. Later on, technology leaped the bounds to innovations via smartphones, user-centric applications, IoT, AI and so on. This is where connected devices found out their deep involvement. Consumer solutions evolved to be a critical catalyst for IT consumerization.
SMAC (Social, Mobile, Analytics, and Cloud) offers a platform for IoT that gives industries the ability to transform into digital standardization. Let’s walk through the major benefits of digitizing with IoT.
1. Enabling Connectivity through IoT For Data-Driven Insights
Smart access is the key to a successful digital environment in any industry. Being able to track the metrics of performance and operations is possible via data analytics. The insights are achieved through pattern recognition of unstructured and structured data. These data-based insights are incorporated into the business functions where previous activities are tracked and monitored to develop forecasts.
The data-driven insights help in understanding customer buying decisions and in obtaining real-time reviews. This helps industries personalize their data to target the right set of customers. Structured data, which is the personal information and unstructured data which is the social media metrics, are both used by industries for critical decision-making.
2. Enabling Smart IoT Enabled Appliances / Smart Network Machinery
Since the conception of the first IoT in the 1980s with the internet-connected Coke machine at the Carnegie Mellon University, to the digital era now that witnesses built-in sensors for automation, what IoT offers is innumerable.
Various industry verticals can optimize their operations without the need for workforce assistance. This saves time and cost. The workforce can now automate their tedious tasks by being able to connect to multiple devices and operate in real-time.
Industries can boost their performance and productivity by increasing both customer and employee engagement.
3. Increase Workflow Optimization With Smart Infrastructure
According to the latest Gartner research, by the year 2020, about 1.39 billion IoT devices shipped for various applications across different industry verticals will enhance sustainability. This will be made possible by making use of available critical data sets. When large volumes of data are analyzed, it makes way for industries to convert them into more useful insights. These insights are then used for making decisions.
Quickly analyzed data are necessary for increased optimization. For instance, when one wants to find out a parking space, digital information helps by sending this data to an analytic framework that rapidly analyses and provides an accurate output.
4. Transform Customer experience With IoT
Improved customer UX requires the implementation of the latest trends in IoT. So when User Experience is king, many front line industries have realized that digitally transforming their businesses with IoT is key to gaining successful outcomes.
According to recent studies, 92 percent of business leaders have developed and deployed digital transformation strategies. This has proven to increase customer experience at a rapid pace.
There are various key factors that have been realized for enhancing customer experiences. They are as follows:
- Customer requirements need to be digitized and made easily available.
- Critical insights are to be provided at a prompt pace.
- Accurate insights are the requisites that need to be provided to build customer trust.
- Improved customer engagement.
Digitizing your business with IoT will enhance customer loyalty, trust, and engagement.
Related Reading: Check out how customer experience can shape brand identity.
5. Enhance and Update skills
With the advent of IoT implementation in businesses, the need for specialized skills has also increased. These skills include knowledge in Artificial Intelligence, Augmented Reality, Data Analytics, Machine Learning, Cloud Computing, Growth Hacking, and so on.
The problem with many industries is that they fear to change their operations and workflows. According to a recent Altimeter report, 31 percent of firms lack digital knowledge and skills.
Digitizing would definitely be a smart investment for your business rather than a huge overhead of costs!
6. Consolidate The Entire Architecture And Workflow
Digitizing with IoT has provided businesses with the advantage of being able to communicate in real-time. Not only does it bring the working force together, to work, but also optimizes the whole architecture.
Leveraging on data analytics and Internet Of Things have generated over $30 million. Be it social media or handling interfaces during project management, the entire architecture is consolidated, and the business processes and workflows are streamlined.
According to recent studies, 88 percent of industries hire or collaborate with a third-party provider to transform their businesses digitally. Investing in digital transformation with IoT will make industries thrive!
Digital Technologies Transforming The Industrial Sites With IoT
Applications based on the Internet Of Things are making everything easy in this digital era. The traditional industrial sites are transformed into smart industries with IoT implementation. This digital revolution makes businesses easier with enormous savings and streamlined operations.
The entire workflows and operation chains in industries can be transformed via digital technology. Cloud portals make this happen by facilitating interaction between the internal and external workforces.
Related Reading: Find how Cloud and IoT are inseparable.
Smart Industries Operating Digitally: Impacts On The Supply Chain
When digital transformation with IoT is represented vertically, it is termed as the smart-factory model. It is where various IT machines, sensors, and other products are networked in order to collaborate together. By this, communication gaps are nowhere in the picture and a fully automated system evolves. Also, when production is automated and process statuses are reported in real-time, downtime can be well-planned beforehand and reduced significantly.
Industry 4.0, Germany’s initiative of digital transformation, is an example of an organization that has gained optimization to a relatively higher degree. Digital Transformation with IoT has not only increased the demand for skilled staffs, but also improved value creation among industries.
It is high time to take action to digitally transform your business with IoT for sustained outcomes. Call our IT experts right away for step-by-step guidance on how to strategically transform your business with the Internet Of Things!
5 Technology Trends Every Travel and Tourism Business Needs To Invest In 2019
If we look at the sheer number of customers involved, the travel and tourism sector is one of the world’s largest industries. Back in 2017, it was a USD 1.6 trillion industry worldwide and over 1.32 billion international tourist arrivals were recorded worldwide according to emigration agencies. With such a phenomenal target audience base, businesses that want to flourish in this sector from hotels to travel companies to flight and cruise operators are continuously seeking new differentiators to win customer loyalty and survive profitably in the face of intense competition. And the competition is not just from peers in the industry.
Today, there are thousands of technology companies that have transformed the conventional travel and accommodation experiences for the common man by shifting the power of choice to the consumer from the hands of the service provider. To remain viable, traditional players in this industry have also shifted their investment priorities to technology that helps them provide better services with lower costs.
There has been a paradigm shift in how the travel and tourism industry works. What was once a monopoly of travel agents, today an end customer has the freedom to chart their own travel itinerary, arrange every necessary and ancillary service throughout their journey and ensure hassle-free travel experiences anywhere in the world.
The best part is, they can accomplish all this from the comfort of their homes using just their mobile phones. The proliferation of smartphones and a large digital savvy guest base necessitates players in this industry to continually invest in technology platforms that help them connect with potential customers across all channels, be it booking offices or online portals.
Today, we shed light on the top 5 emerging technology trends that travel and tourism-related businesses need to keep a close watch and invest wisely if they want to remain successful. Here are our picks:
1. Mobile Friendly
Did you know that over 47.96 percent of global web page views have been from mobile devices alone? This implies, that irrespective of which travel or tourism service you offer, you need to ensure that every presence you have for your business on the internet needs to be mobile friendly. Additionally, businesses need to ensure that they offer customers access to critical services on their premises through smartphones. An example would be a hotel offering customers to book ancillary services like spa, cabs, recreational activities, restaurant, and in-room dining services, etc., through a mobile app rather than having to call up the reception to do so.
Check out the video to learn more about how hotels are embracing technology to provide better customer service.
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Some of the world’s most premier hotel chains have gone one step further by creating smart room keys that help guests unlock their rooms with just their mobile phones or a wearable device like a smartwatch. Even more, if such services can be offered by integrating the hotel’s technology back-end with popular services that users already use will ensure greater customer satisfaction as they need not download another app on their mobile phones to use the new feature.
Related Reading: Find how realtors are winning tenants with innovative mobile apps.
2. Artificial Intelligence
Gartner predicts that by 2020, consumers worldwide will handle 85% of their interactions with a business without the need of a human agent. For the travel and tourism sector, customer engagement and the subsequent experiences are critical for continued success. AI can be a game changer in this regard. By serving multiple roles ranging from a virtual assistant or chatbot, AI enabled platforms to help businesses keep their businesses open to customer queries 24 X 7 without dedicated human staff.
Considering the fact that the travel and tourism industry is a global sector with business opportunities available without time zone restrictions, AI becomes even more special. By using machine learning, AI systems can study user behavior and offer automated recommendations and services during interactions for booking a cab or tickets to a nearby destination and so on.
AI can also help businesses automate much of their intense manual data management jobs like generating reports for management, staying compliant with local and regional laws, facilitating verification of guest background and biometrics and much more. The list is endless and in the coming years, AI will turn into a significant contributor to profits for key players in the travel and tourism industry.
Related Reading: Read on to know the top artificial intelligence trends of 2019.
3. Immersive Visual Experiences
What if you could offer a virtual tour of your hotel or resort or a popular tourist destination where your business operates, to a potential customer in another country? Well, this is possible today, thanks to the advancements in immersive visual technology like augmented reality (AR), virtual reality (VR) and mixed reality (MR). It can be used for virtual simulations of travel destinations and accommodation facilities and even for interactive content marketing campaigns. With hardware costs going south every year, more users would buy devices that facilitate such experiences.
The popular Oculus Rift that had a hefty price tag of $799 when it launched in 2016 now sells for just $199 and this is an indication that hardware hindrances will not deprive AR, VR and MR technologies of their worth in the coming years. Businesses can offer interactive opportunities for other ancillary service providers to market their services in their properties like for example, a hotel chain, allowing AR-enabled shopping from popular brands for their guests or running promotional campaigns of nearby attractions that guests can explore virtually before making a decision. The possibilities are limitless.
Related Reading: Check out which technology has a better future: AR or VR
4. Internet of Things
Today, technology is moving from the bounds of computers and smartphones and integrating into almost every physical environment surrounding us. The Internet of Things (IoT) paradigm has opened new possibilities for improving customer experiences considerably. The travel and tourism sector too can leverage the potential of IoT to serve their customers more efficiently. From hotels offering a smart room environment controls to guests and airlines facilitating smooth check-in and boarding through beacons within airports, the number of offerings in this segment is numerous.
With the advancement made in hardware sensors, it is possible to gather a large volume of data from a customer or potential customer’s physical surroundings and businesses can use this data to offer personalized services. With an increased focus on data security, today’s IoT platforms will assure end users of personalized services without the risk of unauthorized access by imposters. From an operational standpoint, businesses such as airlines and hotels can use IoT platforms to automate several key operational tasks such as maintenance activities to improve their efficiency, save costs and reduce manual labor risks in the long run.
Related Reading: Read along to know where and why should you invest in IoT.
5. Big Data Analytics
From the huge gamut of data generated by guests and travelers, businesses in the travel and tourism sector can derive insights that help them make the best decisions for growth. This is facilitated by powerful big data analytics platforms that are today available even on a subscription basis. This makes the proposition sweeter for even smaller businesses as they can now compete with the giants in their respective business community by gaining vital knowledge about customer behavior, their spending habits, and their interests.
By analyzing data on past travel experiences, hotels and travel companies can provide personalized recommendations to customers and aid their decision-making process considerably. These systems allow travel companies to suggest the most profitable itineraries for both them as well as the customer making it a win-win situation for everyone. It also allows them to segregate travelers, according to several criteria such as cost preferences, location preferences, interests and much more. This allows them to create personalized marketing and promotional campaigns for each segment and gain more business opportunities.
Related Reading: Check out how big companies are using Big Data to boost business
The travel and tourism sector will undoubtedly rank among the largest in the world when it comes to investment potential. However, the future of this industry will largely be decided by who makes the wisest technology investment decisions among competitors. By converging human interactions and technology, businesses in this sector can serve their customers better and run their infrastructure smarter.
The choices are numerous and it requires an expert advisory partner for travel and tourism companies to realize the full value from their technology investments. This is where our consultants can be your differentiator. Talk to us today to know how your business can survive and succeed in the age of digital disruption by investing intelligently in technology that matters most to your business.
What To Watch Out For In 2019 On ERP Market Trends
It’s true that we can never bid adieu to last year’s trend-setting technologies like blockchain, AI, IoT, and multi-cloud. But, neither can we not talk about the progress where technology is likely to echo around the ERP space.
According to a study by MarketWatch, “The ERP software market is expected to rise globally to $47B by 2022”. Let us find out what are the possible market trends in ERP for 2019.
Drastic Rise Of The IoT Market
According to Statista’s latest research, “the global IoT market will rise exponentially from $2.9 trillion in 2014 to over $7 trillion in 2020”. This leads to a situation where ERP systems will need a new level of intelligence and automation to make platforms collect data and insights.
Earlier, only a small percentage of data were created and processed outside a traditional data center. But in the future, there will be a situation where nearly all data will be generated from outside of the data center.
IoT is expected to drive the design and deployment of many operational analytics solutions. Industries such as retail, banking, and telecommunications will also adopt operational analytics to enhance customer experience and quality.
Related Reading: Get answers to where and why should you invest in IoT.
Accelerating Transition To Cloud Computing
According to Statista Reports, “the global market revenue of public cloud services will surpass 278.3 U.S. Dollars in 2021”.
The benefits of this would be greater data security, minimal dependency on hardware, speedy results, and high customer satisfaction. As per the research report by IDC, spending on cloud computing is anticipated to rise at a rate of six times the rate of the current IT spending through 2020 which upsurges at 4.5 times the IT spending rate since 2019.
Cloud concepts, Content Delivery Network (CDN), DevOps, Big Data and Artificial Intelligence, are going to be the key players in the future of Cloud Computing.
Contribution Of AI And Emerging Disruptive Technologies
The three main trends behind the huge adoption of ERP services are the integration of artificial intelligence (AI), deployment in the cloud, and improved IoT technology.
Big data analytics and the various kinds of AI, including predictive analytics, machine learning, and deep learning, form the catalysts for industries to improve customer experience.
The third wave of technology evolution is based on systems of intelligence (Cloud, IoT, AI, VR, AR). For instance, Chatbots and messaging apps are examples for a rapid expansion in the implementation and adoption of AI.
By implementing advanced solutions such as AI-based chat-bots, IoT sensors and more, businesses will streamline and thereby accelerate their functions. This can tackle productivity issues and also it is an opportunity for businesses to realize the value and utility of new disruptive technologies.
Related Reading: Watch out for the top AI trends in 2019.
ERP and SaaS – Differences In Overheads
The traditional applications based on ERP were stored on servers. This meant overheads as a result of increased hardware costs as well as costs associated with backup, recovery, and maintenance. The difference between traditional and SaaS applications is that SaaS applications are stored on cloud-based servers.
The benefits of SaaS are that these applications do not demand high maintenance costs, or rather are they expensive. The additional overhead costs that are reduced when it comes to SaaS are that they differ in terms of per-seat licensing costs as well as the total cost of ownership etc.
So, since Saas is a cloud-based model, SaaS-based applications are neither costly, neither are they difficult to maintain.
ERP transition has taken place rapidly. The new SaaS model for ERP is very flexible and useful.
Inclusion Of Social Media Channels
ERP systems in 2019 will need to be able to include direct marketing and data links across multiple social media channels to make their presence felt in the market.
HR managers frequently use social media to search for and hire new employees and also as a background check and even as performance management indicators. These changing trends in business operations are reflected in any competitive ERP platform.
The modules that address are becoming social-media savvy in 2019. This is mainly due to the high use of customer base that accounts for 2.77 billion customers (according to eMarketer research).
The other engaging trends in ERP adoption are as follows:
Focus on Business Intelligence
Organizations are trying to make forecasts with ERP software for business intelligence.
Good Integration architecture
An increasing need for ERP software system has resulted in the act of ERP consultants being shifted towards a better integration architecture for ERP software.
Two-tiered ERP is very useful for enterprises since they run in different processes at different places. These tend to match the needs of all locations with a better cost structure. It best suits when the enterprise is large.
The Personalization Advantages
Today’s ERP systems are built for personalization. Some systems offer tools to help make it easy and fast in customizing the application to their needs.
Large Organizations Acquiring Small Startups
Large organizations try acquiring smaller startups in that regards. This increases ERP implementation.
Partnering With Firms That Break The Traditional Rules
With the onset of the cloud, the traditional role of technology partners will no longer be enough. Finding an ERP partner that utilizes the latest technology and analyzing how they deliver service with your needs is required for a successful business.
More focus on profit from ERP
As ERP becomes more and more successful in the market, firms blindly implement them now. They are sensitive to the return of investment.
These above trends in ERP to be witnessed in 2019 are beneficial for an organization as well as provide to business growth. ERP software is used in various fields for work and that is the reason why the demand for an ERP software system is increasing every day.
Watch out for more market trends and highlights showcased for 2019 in our latest blogs!!
Also, empower your business with trending technologies. Contact our tech-experts today!
Most of us, technology geeks or not, are eager to stay first in line to catch up with the latest game-changing technology trends. Here we are to know which technologies will thrive in 2019!
The Potential Technology Trends You Need To Explore In 2019
Have you ever looked up at the sky and clapped your eyelids on a bat? This is commonplace. But what if it was a drone. Or would it be a flying fleet? Since we don’t belong to the Jetsons family, the latter is not expected but we are close to it! 2019 is definitely a transformative year for technological innovation!
According to Gartner, the Top 10 Strategic Technology Trends for 2019 are Block chain, Artificial Intelligence, Empowered Edge, Privacy and Digital Ethics, Quantum Computing, Immersive Experiences, Augmented Analytics, Autonomous Things, and Digital Twins!
This is just the tip of the iceberg. Following are the emerging technology trends and catalyzing technical innovation that we can expect to see more of in 2019!!
Related Reading: Find how digital innovation is transforming today’s business world.
1. Blockchain Technology – The ‘New Internet’
Some call Blockchain technology the ‘New Internet’. The blockchain is the brainchild of a person or group of people known by the pseudonym, Satoshi Nakamoto. It permits digital information to be distributed but not duplicated.
“Blockchain solves the manipulation problem”, says Vitalik Buterin, inventor of Ethereum.
2. Artificial Intelligence (AI)
Apart from AI-powered chatbots, 2019 will witness chip manufacturers such as Intel, NVIDIA, AMD, ARM, and Qualcomm shipping specialized chips that speed up the execution of AI-enabled applications.
2019 will also be the year for hyperscale infrastructure companies like Amazon, Microsoft, Google, and Facebook.
Related Reading: Check out the top AI trends of 2019.
3. Cloud-independent edge computing
The study from IDC illustrates that 45 percent of the entire data created by IoT devices will be stored, processed, analyzed and acted upon close to or at the edge of a network by 2020! Edge computing is a mesh network of data centers that process and store data locally before being sent to a centralized storage center or cloud.
4. Privacy and Digital Ethics
Facebook, recently witnessed the biggest security breach in which 50 million accounts were compromised. Facebook, later clarified that data of 30 million accounts were stolen.
People are becoming more nervous about how organizations and third-parties are using their personal data.
5. Quantum Computing
The world is behind building the first fully-functional quantum computer. Also called the supercomputer, this is expected to be a cloud service rather than an on-prem service. IBM is already offering cloud-based quantum computing services. For instance, the automotive, financial, insurance, pharmaceuticals, military, and research industries have the most to gain from the advancements in Quantum Computing.
6. Immersive Experiences
Conversational platforms are changing the way in which people communicate with the digital world. Virtual reality (VR), augmented reality (AR) and mixed reality (MR) are changing their approaches to know more about people’s perception.
7. Augmented Analytics
Augmented analytics relies on augmented intelligence. This uses machine learning (ML) to transform how analytics content can be developed, consumed and shared.
“Through 2020, the number of data scientists will grow five times faster than the number of experts”, says David Cearley!
8. Autonomous Things
Autonomous things, such as robots, drones, and autonomous fleet, use Artificial Intelligence techniques to automate their functions that were previously performed by humans.
9. Digital Twins
A digital twin is a digital representation of real-world items that are interlinked. Cearley states that there can be digital twins of people, processes, and things!
A DTO is an aspect of the Digital Twin evolution that is a dynamic software model that relies on operational or other data. DTOs help drive efficiencies in business processes.
Apart from these, there are other key technology trends that organizations need to explore in 2019. These include:
10. Cybersecurity and Risk Management
According to the estimates from the firm Gemalto, the data breaches were 4.5 billion in the first half of 2018! The University of Maryland study found that hackers attack computers every 39 seconds.
In 2019 we will be facing a more sophisticated array of physical security and cybersecurity challenges.
Cybersecurity is thus the digital glue that has held IoT, Smart Cities, and the world of converged machines, sensors, applications, and algorithms operational throughout!
11. Smart Spaces
A smart space is a physical or digital environment in which humans and technology-enabled systems interact in an increasingly open, connected, coordinated and intelligent ecosystems, according to Gartner! The world of technology is to enter accelerated delivery of smart spaces in 2019.
12. Self-powered data centers
Data centers grow every minute with the implementation of virtual servers and storage, energy-efficient buildings. In 2019, the data centers are expected to run on its own self-contained power plants!
13. IoT integration
2019 will witness more IoT implementation. An International Forrester IT survey that said among a recent group study, 82% of respondents were unable to identify all of the devices connected to their networks. Of this lot, 54% were nervous about device security, and 55% were concerned about integration!
Related Reading: Find the role of Data Analytics in Internet of Things (IoT)
14. More self-service IT kiosks for business users
2019 will be a year of IT innovation designed to build better communication between IT and end users. The self-service IT kiosks to be set up would enable users to log on and choose what they want for the apps that they build.
15. The Internet of Things and Smart Cities
50 billion equipment, including smartphones, and others are expected by the IoT to be wirelessly connected via a network of sensors to the internet by 2020!
The term “Smart City” means creating a public/private infrastructure to conduct activities that protect and secure citizens. It integrates communications (5-G), transportation, energy, water resources, waste collections, smart-building technologies, and security technologies and services!
To upgrade your business with the latest technology trends on the table, contact the experts at Fingent today! Also, read through our latest blogs to learn more about accelerated technological development!!
The past decade has been a game-changer for the way businesses operate in the realm of retail. The advent of e-commerce and its subsequent boom has compelled brick and mortar outlets to undertake a paradigm shift from a profits-first to a consumer-centric approach. Failure in conforming to new consumer demands fueled the retail apocalypse that toppled the brick and mortar landscape. Thus, we see retail giants like Bon-Ton Stores Inc., Sears and Macy’s filing for bankruptcy and liquidate their holdings.
Implementation of targeted mobile promotions, loyalty benefits, e-payment gateways is just some of the strategies adopted by retail outlets to maintain a competitive advantage in the face of fierce technological overhauls. With disruptive innovation gaining a strong footing now more than ever, the need to constantly reinvent and augment is more pressing than before. Here are five key disruptive technology trends that you need to sync your business model with, to offer consumers retail experience par excellence:
Related Reading: 5 Ways to Enrich Customer Experience at Your Retail Store
1. The advent of Artificial Intelligence
Robots and AI bots capable of not just learning but also executing real smartness are the new focus in tech innovations. Retail giants are already experimenting with ways to implement these AI bots in their business operations. A strong case in point would be Amazon’s no-checkout cashier-less convenience stores, Amazon Go being tested across different states in North America.
Then there are self-driving grocery stores and automated trucks making home deliveries that are still undergoing trials. Of course, that is not to say that AI dominating retail operations will become the new normal tomorrow, but it is in the offing. Businesses that are in the retail sector for the long haul will stand to gain from their preparedness to embrace this change.
2. The Internet of Things
The ability of devices to interact with humans, understand commands and execute them is passé. The Internet of Things (IoT) puts the limelight on the ability of machines to interact with one another. The slow but consistent development of IoT is shaping up a new ecosystem where our gadgets will be able to operate without human intervention. Besides, the global market size for IoT in retail is expected to grow around 94.44 billion by 2025.
The emergence of IoT will inevitably alter the dynamics of the way consumers interact with retail business and the way businesses interact with distribution networks and supply chain partners. More importantly, it will usher in a connected customer model by relying on smart-store applications like smart shelves, beacons, and customer service robots. Making room for these swift connections powered by the internet will help you build a business model that is future ready.
3. Striking the Online-Offline Balance
It is the age of digital customers where the lines between online and offline existences are forever blurring. Brick and mortar businesses need an online extension to sustain themselves. Now, the spotlight is on understanding the dynamics of virtual and augmented reality and creating a marketing strategy that caters to the customers’ dual persona – considering their social media image and real identity – to encourage continued interactions and conversions.
The result – a complete overhaul of the shopping experience by bringing in a consistent omnichannel approach built around a convenient digital backend. For instance, Oasis, the UK-based fashion retailer is closing the gap between in-store and online purchasing by merging shopping experiences across its mobile app, website, and brick-and-mortar stores.
4. Personalized Shopping Experience
Take a look at how e-commerce websites function – bringing customers exactly what they need, every time, on every device, without fail. This carefully curated shopping experience eliminates the need for buyers to browse through the inventory of online stores to find what they need. Over time, this approach toward shopping has been normalized to an extent that customers expect the same out of their retail shopping experience too. Installing smart screens, tablets etc. is one way of using technology to recreate the same sense of personalization in your retail business.
5. Banking on Data
Big data is the next big thing in terms of business operations. Multinational corporations are pumping in billions of dollars to assimilate and organize this seamless information to create the right kind of marketing strategies. While big data may be out of your reach as a standalone business entity, you can create your own pool of data and use it to offer improved retail experiences for your customers.
Fun quizzes, for instances, are a great way to gather insights into your customers’ buying preferences, which can then be used to offer personalized product recommendations. You can take it a step further by tracking these recommendations to know if they are appealing to your customers and tweak them accordingly.
[Courtesy : European Bank for Reconstruction and Development]
Meanwhile, other technologies like virtual and augmented reality will continue to grow in popularity and efficiency. As a retailer, the onus of using these disruptive innovations to offer a seamless customer experience falls on you. Pairing with the right technology partner is the first step. Get in touch with our experts today to uplift your retail experience with cutting-edge software solutions.
With over a billion smartphones and over 179 billion mobile applications downloaded in a year, mobile development has clearly taken center stage in the world of computing.
Enterprises and developers who have developed state-of-the-art cutting edge mobility solutions cannot rest on their laurels though. The world of mobility is ever evolving, with new breakthroughs and refined systems relegating existing technologies and methods to the back burner, at a rapid pace. Here are some of the imminent future trends that are sure to shake up the world of app development and disrupt the ecosystem as we know it today.
The Rise of Internet of Things and Mobile-connected Smart Objects
About 101.9 million wearable devices were shipped in 2016, and these numbers are growing exponentially. Additionally, about 26 billion connected devices, from toys to domestic appliances, from medical devices to controllable power sockets, and much more are expected to be up and running by 2020.
Wearables have been popular for quite some time now, but wearables are evolving, becoming smarter than before, as epitomized by Apple Watch, Microsoft’s HoloLens, and other gadgets. Such smart wearables would be deeply integrated with apps, to deliver a well-synchronized and complete experience for users. Apps in the IoT age would evolve to become a personal-area network hub and a central console for hundreds of connected things around users. The connected things, wearables, and other gadgets would deliver relevant real-time information to users, analyzed into actionable information.
Apple’s “Homekit” range of products, which enable wireless and electronic control of household appliances through a smart home app is a portent of things to come. Likewise, applications such as self-driving cars, deep freezers that read tweets, and more are all on the verge of becoming mainstream, and apps that power such technologies will become commonplace.
Apps to Facilitate Even Deeper Personalization
Apps have an inherent advantage of being able to leverage the unique capabilities of mobile devices. Many apps already leverage features such as GPS, location based services, voice and facial recognition capabilities and other capabilities. Going on, as the marketplace becomes more competitive and technology unlocks new potentials, leveraging such features would become the norm rather than the exception. The magnitude of the capabilities would also increase.
It is going to get better. For instance, modern smartphones have location sensor capabilities that use multiple positioning methods to provide different granularities of location data. Apps would leverage such capabilities to ascertain the user’s location to within a few meters and offer highly relevant and extremely personalized contextual information and services. Several day-to-day activities, from ordering groceries to calling an electrician, and several high-end applications related to security, gaming, vehicle navigation and more would become not just possible but also seamless, leveraging such capabilities.
Apps to Become Technologically Richer
As the app marketplace become increasingly crowded and user attention becomes short, app developers would deploy techniques to deal with challenges such as partial user attention and interruption, in a big way. Some of the innovative features tipped to become commonplace soon, includes circular design pattern, interactive content layers, intelligent manipulation of content to allow users interact with the content in further detail, and much more.
Such innovations would come on top of the widespread adoption of artificial intelligence, augmented reality, and other technologies. Research major, Forrester, estimates more than 300% increase in investment in artificial intelligence in 2017, compared to 2016. App developers are tipped to incorporate advanced analytics, cognitive interfaces, and machine learning techs in a big way, to deliver hyper-powerful apps.
Cross-Platform and Cross-Device Development
The mobile space is highly fragmented with different operating systems, device configurations and screen sizes. This is unlikely to become passe anytime soon, and in fact, the fragmentation may accentuate as new mobility inspired hardware and software hit the market.
The sustenance of such a fragmented ecosystem would mean app developers adapting to roll out cross-platform apps in greater numbers. HTML5 may have been a false flag, but newer solutions are on the anvil to make apps work on all platforms.
Cloud adoption of apps would also rise in a big way compared to the present. A Cisco research estimates cloud apps to drive 90% of total mobile data traffic by 2019, with 11-fold growth, or a CAGR of 60% from present times. Services such as Google Drive, Dropbox, and OneDrive are only the tip of the iceberg, compared to what lies ahead.
There will be a tectonic change in the programming language in use as well. For instance, while Objective C is the incumbent language for developing iOS applications, Swift, the next-gen programming language has already caught the fancy of most developers.
Overall investment in enterprise apps is slated to grow. An Adobe study reveals about 77% business owners finding enterprise apps advantageous to their business, and 66% of them increasing their investments in this front. However, enterprises seeking to get returns on such investment need to go beyond merely adopting the latest technology. They need to ensure the enterprise apps they roll out are robust and customized to their enterprise. A tie up with a sound partner, whose sole focus is app development, and who has a talented team to back up their claims works wonders.