The implementation and development of immersive digital technologies such as Artificial Intelligence, Augmented Reality, Virtual Reality, Machine Learning, and 3D Configurators have drastically changed the way the world works. These technologies have proven their importance in innumerable fields and applications such as the communication and IT Service industry, Real Estate Industry, Manufacturing Industry, and many more. 

In this article, we will discuss about three of these world-changing technologies and their application in the field of real estate, so buckle up and let’s get started!

AR In Real Estate 

When you own a real estate business you already know that it is an ever-changing business. One day its ways of marketing are traditional and the next to take a 180 degrees turn to a completely modern approach. In this fast-paced industry, the use of Augmented Reality tilts more odds in your favor. Before we move any further let us first reiterate the meaning of Augmented Reality. 

Augmented Reality (AR) is the real-time integration of digital information with the user’s environment in the form of text, graphics, audio, and other virtual enhancements integrated with real-world objects. 

Although the conventional way to purchase property may be exciting, it can also be extremely tedious and time-consuming. The implementation of Augmented Reality has made this daunting process easier and less time-consuming. AR has successfully instigated realtors, builders, and real estate agents to take the leap of faith toward the digital front. With the help of this technology, they can offer better customer experience, faster purchase process, exciting tours, and boost their overall conversion rate. 

Through AR clients can explore several properties and tour these properties virtually with just a few clicks in the comfort of their homes. This magical AR teleportation significantly saves valuable resources of time, energy, and money. If none of these are reasons enough, it also makes the entire process more exciting and fun. 

Read more: Augmented Reality, Virtual Reality, and Mixed Reality detailed with Real-Life Examples!

Top Benefits Of Augmented Reality In Real Estate

1. Time-Saving 

Augmented reality real estate applications show customers information about the building infrastructure, their effective energy rating, panes of glass used, materials used for construction, and even information about the vicinity of schools, hospitals, and community centers around the property. Although the initial installation of AR applications for real estate may cost a lot, in the bigger picture, it saves you money.  MagicPlan is one such app that focuses on generating floor plans from photos helping buyers and tenants get a better sense of how to use the space and meet their needs without wasting much time and money on multiple site visits.

2. Visualization 

Details about building construction can be boring to have to screen through but when you add the element of augmented reality, clients get to emerge themselves into the dimension of the property. This keeps them engaged and interested. Augmented reality applications let the customer view the property from different angles not just the bits that are captured from a camera.  Vera is an apt example. The application can transform buildings into digitally reconstructed buildings from the inside out through highly accurate three-dimensional visualizations

3. Enhance Customer Experience 

With all the above-mentioned benefits, customer experience is already bound to be boosted due to AR. Virtual staging enables customers to customize the interior décor and view finished goods and furniture before putting them in place. The entire experience is guaranteed to boost the client’s level of satisfaction. RealAR, an app transforming 2D floor plans and 3D models into full-blown life-size walkthroughs, gained maximum fame during the pandemic, enabling time-saving and cost-effective floor planning.

VR In Real Estate 

Just like AR even Virtual Reality has set its claws deep into the real estate industry. These two technologies generally go hand-in-hand making them a dynamic power couple. 

Virtual Reality is a computer-generated simulation of any 3D image or environment that is made to be interactive in a seemingly real or physical way by an individual using special electronic equipment, such as a VR helmet. 

VR meets real estate at the intersection called 3D walkthroughs. These walkthroughs are a brilliantly immersive experience that enables customers to interact with the virtual environment and tour the property as if they were actually on the plot. It is no doubt that VR real estate is the next big thing in this industry and almost every VR app development company offers a specific spectrum of services in the virtual reality that cater to real estate segments. VR walkthroughs became famous during the COVID pandemic and have continued to thrive ever since. 

Benefits Of VR In Real Estate 

1. Immersive Property Showing 

After visualizing the property most customers want to interact with it and try to cop a feel of the surrounding, VR comes in handy here. VR’s biggest strength is seen here with its ability to showcase property with a realistic and immersive experience, giving the client a chance to thoroughly explore the property. This sense of realism, familiar physics, and interactive nature unite together to create a truly immersive property showing. Virtual 360-degree walkthrough tours of the interior and exterior of the house without visiting the property in person is one major example of VR utilized for property visits.

2. Virtual Staging And Interior Design 

Virtual staging is essentially being able to adjust the elements in your surrounding and furnish rooms however they like while viewing the property through virtual reality. By letting the customer customize the interior décor and design of the property, VR creates a more enhanced customer experience. VR developers can create enticing features like allowing the user to change the materials in space, try different furniture settings, modify the floor plans, or check the view from innumerable angles. 

3. Collaborative Virtual Meetings And Presentations 

Collaborative Virtual meetings are a method of communication that is technologically mediated and can facilitate engagement in remote and hybrid places. This simply means that customers from all over the world can view the property and interact with the real estate agency to make a purchase through these meetings and presentations. With the assistance of VR, you don’t even have to be in the same country in order to browse for property there. 

Here’s an example of how Virtual Reality has eased campus visits for students, especially for those geographically challenged to explore the various educational options offered by universities.

3D Configuration In Real Estate 

Real estate prices across the world are skyrocketing, and people can’t afford to spend extra money on renovations after a building is raised. If purchasing the right property is challenging, constructing a building that meets all your needs is a bigger headache, but with the help of 3D Collaborative tools, this process becomes seamlessly easy.  

3D visualization tools can assist users in designing digital buildings while displaying and configuring them in real time with photorealistic detail. 

Benefits of 3D Configurations In Real Estate  

1. Customization And Personalization Of Properties

3D Configurators help clients personalize their environment to meet their specific needs and keep the agency more customer-centric. It allows customers to select from a range of customizable options such as flooring, furniture, colors, lighting, and exterior views. 3D configurations are essentially a way to let customers personalize property to their specifications. Enabling 3D views of construction sites and updated reports even before construction starts saves time and money.

2. Real-time Pricing And Cost Estimates 

Detailed 3D configuring can make justifying prices, placing quotes, and ultimately selling property much easier. The 3D configuration also provides clients with a detailed view of a property, enabling them to understand the features and aspects that drive its true value. It gives an overall understanding of special features such as underground parking, nearby schools, fancy landscapes, and more. 

3. Designing And Visualizing Floor Plans 

When you use 3D Configurators your project can be displayed in astonishing detail at any stage of construction. Customers can learn and see everything involved in the project and even take virtual tours around the property. They can visualize the floor plans, project specifications, materials, and much more. 3D visualization allows users to witness photorealistic imagery and enhance the elegance of the property on sale, including its interior and exterior views. Enabling 3D visualization models of real-estate designs helps get a clear idea of what the comp[leted project will look like.

Read more: Leveraging 3D Configurators for Customer Engagement

Integration And Synergy Of AR, VR, And 3D Configuration 

Integration is the combination of various elements to form an efficient system and synergy is formed when multiple systems work together towards a shared goal. When it comes to the above-discussed technologies, the synergy they form together is powerful and has left a strong indentation on the real estate industry. 

1. Combined Applications And Benefits Of AR, VR, And 3D Configuration: 

There are innumerable benefits of AR, VR, and 3D configurations in the real estate industry, such as – familiarity with the property, objective evaluation of the plot, high level of attention to detail, widening global opportunities, and a great marketing tool. 

2. Enhanced Customer Experience And Engagement Through Integration: 

As seen above, all three of these technologies have several strengths on their own, and when integrated, they form a mighty force. This powerful experience is the path to great customer experience and interactions, ultimately leading to increased profits.  

3. Common Challenges Faced In Implementing AR, VR, And 3D Configuration For Real Estate Businesses:

Just as any new development would, even this integrated solution has its fair share of challenges: Cost of implementation, tossing agents out of employment, and the need to educate employees about the management of new technologies. 

How Fingent Can Help

Today’s tech-savvy customers demand prompt responses, service efficiency, and enhanced experiences. To match up with the rising customer demands, Real Estate companies have no option but to adopt modern technology. AR, VR, and 3D Web Configurators are a few modern technologies enabling the Real Estate industry to create new paths of success opportunities.  Fingent’s expertise in the domain has enabled many companies in real estate to innovate for better operations. Our experts use the latest technology to develop custom software solutions that cater specifically to unique property management challenges. Connect with our experts today to learn more about how we can help transform your property management business with custom-built technology solutions. 

SAP S/4HANA is a catalyst for business success, weaving its transformative power across the ERP landscape. SAP S/4HANA is more than just any software; it’s a realm of possibilities. It is like a digital fortress that integrates and orchestrates your supply chain, ensuring harmony and efficiency throughout your organization. 

With a single source of truth, it empowers organizations to make informed decisions based on accurate, up-to-the-minute insights. It’s like having a trusted compass that illuminates the hidden paths of your operations, empowering you to confidently navigate the ever-changing terrain of the business landscape.

Understanding SAP S/4HANA – A Visionary Leap Into The Future

SAP S/4HANA is not your ordinary ERP solution. It harnesses the power of in-memory computing, real-time analytics, and a simplified data model to deliver a seamless and intelligent ERP experience. It is a technological marvel that blends speed, agility, and simplicity into a single transformative platform.

The shift from traditional SAP ERP systems to SAP S/4HANA marks a significant milestone in the ERP landscape. It represents a move from a row-based data model to an in-memory, columnar-based data model, resulting in lightning-fast data processing and real-time analytics.

With the transition to SAP S/4HANA, businesses unlock a plethora of benefits. They gain real-time insights for faster decision-making, simplified processes for improved efficiency, and intelligent technologies for enhanced automation and predictive capabilities. It’s like upgrading to a futuristic command center that propels your business into a new realm of success.

Let’s begin by unveiling the key features and capabilities that make SAP S/4HANA shine.

• It brings the power of real-time insights, allowing businesses to make decisions based on up-to-the-minute data. 
• SAP S/4HANA simplifies processes, reduces data redundancies, and eliminates complexities to streamline operations. 
• It leverages advanced technologies such as artificial intelligence (AI), machine learning, and predictive analytics to unlock automation, insights, and predictive capabilities.

Read more: A Beginner’s Guide To Implementing SAP S/4HANA

Key Benefits of SAP S/4HANA

1. Grasp The Pulse of Your Business at Any Given Moment with Real-Time Analytics.

With its in-memory computing capabilities, SAP S/4HANA processes massive amounts of data in real-time, allowing for faster and more responsive operations. With real-time analytics, you have the power to respond swiftly to changing market dynamics, identify emerging trends, and seize opportunities before they fade away. It’s like having a nimble and swift chariot that propels your business forward, helping you stay ahead of the competition.

2. Enthralling User Experience

SAP S/4HANA’s intuitive interface and personalized dashboards transform ERP navigation into a delightful journey. It’s like stepping into a realm of effortless elegance, where tasks are completed with grace and efficiency, where your teams can work seamlessly, unlocking their full potential and driving productivity to new heights.

3. Declutter Your Landscape with a Simplified Data Model

SAP S/4HANA can help you bid farewell to the tangled webs of complexity and data redundancies. It enables you to declutter your business landscape, allowing you to focus on what truly matters—innovation and growth. With a simplified data model, your organization gains agility, flexibility, and the ability to adapt swiftly to changing business needs.

Now that you are aware of the business benefits let’s discuss how you can prepare for SAP S/4HANA implementation.

Prepare For SAP S/4HANA Implementation

With the right foundations in place, organizations can embark on their SAP S/4HANA implementation with confidence, ready to unlock the full potential of this transformative platform.

1. Assessing Business Readiness:

Assessing the organization’s readiness for SAP S/4HANA implementation is like taking stock of your supplies before embarking on a grand expedition. Evaluating data readiness ensures that your information is accurate, complete, and compatible with the new system. Additionally, allocating resources appropriately – including skilled personnel and budget – ensures that you have the necessary support to navigate the implementation journey smoothly.

2. Building the Implementation Team:

On a voyage, each member has a vital role to play. Project managers steer the entire implementation process. Functional consultants bring their expertise in specific business areas, ensuring that SAP S/4HANA meets your unique requirements. Technical experts handle system configurations, integrations, and customizations. Together, this cross-functional team brings together diverse perspectives, fostering synergy and ensuring that all aspects of the implementation are addressed comprehensively.

3. Chart your Course by Defining Implementation Goals and Scope:

Defining clear goals and scope for the SAP S/4HANA implementation provides a clear direction and prevents aimless wandering. By identifying key business processes, you prioritize areas that will benefit most from the new system. This focused approach optimizes time and resources enabling effective project planning and increasing the likelihood of a successful SAP S/4HANA implementation.

Six Phases of SAP S/4HANA Implementation

Each of the following well-defined phases of the SAP S/4HANA phase brings your organization closer to harnessing its and unlocking new levels of efficiency, agility, and competitive advantage:

Phase #1 Project Planning and Preparation:

Planning and preparation are like laying the foundation for a solid structure. Activities in this phase include creating a detailed project plan, establishing timelines, and defining deliverables. By clearly outlining project objectives, tasks, and responsibilities, organizations ensure a structured and well-organized implementation process. 

Effective stakeholder communication is vital during this phase, keeping everyone informed and engaged. Change management strategies are implemented to address any resistance to change, ensuring the smooth adoption of SAP S/4HANA.

Phase #2 System Installation and Configuration:

System installation and configuration start with assessing hardware requirements and designing the system landscape, ensuring optimal performance and scalability. The SAP S/4HANA system is then installed, configured, and integrated with other systems, creating a cohesive IT ecosystem. This phase requires careful consideration of factors like network infrastructure, security, and software installation.

Phase #3 Data Migration and Conversion:

Data migration and conversion are like transferring belongings to a new home. Legacy data is extracted, transformed, and loaded into the SAP S/4HANA system. This process involves data cleansing, eliminating duplicates, and ensuring data accuracy. Data validation is crucial to verify the integrity and consistency of migrated data. 

Phase #4 Customization and Configuration:

This phase is like arranging furniture in a new space. Configuration involves setting up master data, defining workflows, and configuring system functionalities. This phase ensures that SAP S/4HANA aligns with the organization’s unique processes, enabling efficient operations and improved user experience.

Phase #5 Testing and Training:

Testing and training form the backbone of a successful SAP S/4HANA implementation. Thorough testing is conducted to validate the system’s functionality, performance, and data accuracy. This includes unit testing, integration testing, and user acceptance testing. 

Training programs are designed to equip end-users with the necessary skills and knowledge to effectively utilize SAP S/4HANA. 

Phase #6 Go-Live and Post-Implementation Support:

Going-live is like opening the doors to a new facility, enabling users to work with real data. Post-implementation activities include monitoring system performance, addressing user feedback, and providing ongoing support. Continuous improvement initiatives and enhancements are implemented based on user experience and evolving business needs. Regular system maintenance and updates ensure the system’s optimal performance and long-term success.

These are some best practices and lessons learned from previous SAP S/4HANA implementations. They offer valuable insights that can guide your organization toward successful implementation. These can help you avoid common pitfalls and maximize the benefits of SAP S/4HANA. 

Read more: A Simple Guide To Handling Common SAP Errors and Troubleshoots

Strategies You Can Use to Overcome Common Challenges

Challenges during SAP S/4HANA implementations can vary, but some common ones include data migration complexities, resistance to change, resource constraints, and technical integration issues. To overcome these challenges, organizations should:

• Engage experienced consultants and leverage their expertise.
• Invest in data cleansing and migration tools to streamline the process.
• Prioritize change management activities and communicate the benefits of SAP S/4HANA.
• Allocate sufficient resources and budget for implementation and post-implementation support.
• Collaborate closely with SAP experts and leverage their guidance and best practices.
• Monitor the implementation progress regularly and adapt the plan as needed.

How Can Fingent Help?

Fingent can provide comprehensive services to deploy SAP S/4HANA for better supply chain management. We at Fingent offer consulting services to assess your supply chain management requirements and design a customized SAP S/4HANA implementation strategy. Our advisory services provide expert guidance on how to optimize your operations and drive digital transformation.

Are you currently using an older version of SAP ERP? If so, we can analyze your existing system, assess the impact of the conversion, and guide you through the conversion process.

Fingent leverages SAP Leonardo’s intelligent technologies, such as machine learning, IoT, and analytics, to enhance your supply chain management processes. With our expertise in SAP S/4HANA and supply chain management, we can guide you through the entire deployment process, from strategy and implementation to ongoing support.

Reach out to us, and let’s work magic for you. 

The world of technology keeps evolving and waits for no one, so it is our responsibility to keep up with it rather than fall behind. The healthcare industry has for a long time been using software development systems to monitor and ease work-lifestyles; now it is time to customize this software to make them function and run exactly the way you need it to. Custom software development has made life and business significantly easier for innumerable industries and is poised to revolutionize the Healthcare Industry as well. This article will tell you all you need to know about it.

Importance Of Healthcare Software Development  

Healthcare software systems provide innumerable benefits to hospital management, from improved productivity to reduced medication errors. It streamlines the workflow, enhances data quality, drastically reduces errors, and boosts patient experiences. Rising technological advancements also help with hospital administration and operations. 

Benefits Of Customized Healthcare Software Development 

The overall benefit of using customized healthcare software is overall progress and betterment. This should be reason enough to convince anyone to adopt custom healthcare software but if it is not, listed below are a few of the other benefits of this type of software development:

• Increased security – Thanks to the inculcation of software in healthcare, hospitals are now sending, storing, and retrieving data through the web. Custom software solutions will guarantee the safety of this personal medical data. 
• User-friendly experience – The target audience’s desired product is taken into consideration by software designers and user interface designers. Software designers can also consider specific aspects of an application to make it more alluring and interactive. 
• Customizable features – Customization is the buzzword right now, and custom software provides it like no other. Customer feedback is prioritized, and the generated product is more streamlined and efficient. Customized software will handle specific problems, and this aspect makes it attracts and brings in more loyal customers or patients. 
• Quality of diagnostics – Technology is well known for its brilliance in efficiency. Diagnostics run by a customized software solution have proven to have outstanding quality and accuracy because these solutions imbibe knowledge from innumerable sources and compare results faster. Hence, healthcare providers can proffer improved healthcare if they rely on custom software solutions. 

Read more: How Can Custom-Made Software Provide Superior Customer Service In The Healthcare Industry?

Understanding Healthcare Software Development 

Healthcare software development is the creation of any software for the healthcare sector to facilitate hospitals and improve equipment management. It also helps with administering electronic records, managing health records, providing diagnoses and treatments, improving patient care, and reducing costs. 

Healthcare software development plays an important role in everyone’s life. For doctors – it reduces paperwork and increases collaboration with other specialists. For patients – it enhances patient outreach, improves healthcare quality, and eases access to medical data. Lastly, it improves medical business management and streamlines management processes for organizations. 

Healthcare organizations, just like any other organization, have their own set of challenges that cripple them. Custom Software can address most of these challenges and fix them. 

• Cyberthreats – The skyrocketing rate of cyber security attacks threatens to endanger the personal medical data of patients and, ultimately, the reputation of a healthcare center. Custom Software can fix this with its exceptional security firewalls and customized cyber security.
• Patient Experience – When patients experience favorable care, they are more likely to heed medical advice and this is essential for better healthcare outcomes, boosting patient retention rates and lowering malpractice risk. Custom software can help here, too by enhancing the user experience and user interface by creating more interactive, customized, and enticing products. 

Key Considerations for Healthcare Software Development

Now that we have established the importance of custom healthcare software development, here are some key considerations:

1. Compliance And Security – 

Medical records are very sensitive data, and it is the responsibility of the healthcare facility to protect them carefully. Abiding by the international security laws of HIPAA, PCI, and IOS is a must, along with deft investments in specialized medical data security. Ensure that your partner conducts adequate software checkups to detect any potential vulnerability.

2. User-Centred Design – 

Customized healthcare software’s main target is its audience, so focusing on their comfort or ease is a top priority. Inclusivity of all kinds, from senior users to less literate users, is a crucial thing to keep in mind when designing an interface for the organization. Properly incorporated user-centered designs are vital for an intuitive and efficient workflow. Software Designers usually build a simple and easy-to-use user interface (UI) and a user experience (UX). 

3. Interoperability and Integration – 

Interoperability, in simple words, is the ability of a software or system to work compatibly with other products and systems. It helps facilitate organized and effective data exchange between data systems. To avoid complications with regard to personalized information or reports of customers while sharing data between systems, especially when introducing new versions of the same software to different platforms, efficient interoperability is important. 

4. Scalability and Flexibility – 

Scalability and flexibility are other critical considerations to remember. It is imperative to design a product capable of scaling up as your healthcare organization grows. Ensuring that your customized software developed is flexible and can change and segue according to wavering customer demands. 

5. Data Analytics and Insights – 

Data analytics is essentially the process of studying raw data in order to determine trends and enable enhanced decision-making.  This transformation of data done by custom software into insights can drastically leverage data to enhance decision-making, patient outcomes, and overall operational efficiency.

Read more: AI in Healthcare – Know what’s trending and what’s upcoming!

Steps in Custom Healthcare Software Development

Let’s now get into the development itself. Here are some steps to ensure that the development goes smoothly and provides the best outcomes: 

1. Requirements Gathering and Analysis – 

It is always best to make a detailed analysis of your organization, its needs, and budgets before diving into a custom software development project. Consult well-versed software designers and healthcare professionals, jot the requirement details, and communicate with your team members to obtain an unbiased perspective.

2. Design and Development – 

In this step, the analysis generated is used as input and software infrastructure for implementing software development. Software developers first draw a synopsis of the details for the application, including specific aspects such as User interfaces, System interfaces, Network and Network Requirements, and Databases. 

Following close behind the design stage is the development stage. It is the stage where coding starts and all components of the software are implemented. The use of agile methodologies and interactive interfaces to improve user satisfaction, flexibility, and feedback incorporation is crucial during this phase of development. 

3. Quality Assurance And Testing – 

The testing period begins at the end of the coding stage. Here the modules are circulated for testing. Although testing may not seem like a necessary step, skipping it will ultimately result in the downfall of software. The developed software should be tested thoroughly, and developers fix any vulnerability discovered. There are various tests that need to be conducted after coding of software; these include – functional, usability, and security testing. 

4. Deployment and Training – 

After the product has been sufficiently tested, the software is deployed into the market or organization scheme. In the case of UAT (User Acceptance Testing), a production environment is created, and the customer, along with the developers, partakes in the testing. 

Case Studies

Fingent has been a leader in custom software development for the healthcare sector and has created unmatched solutions for its clients. Here are a few examples:

A Data Analytics Solution for NHS: With the wide range of hospitals under its governance, the NHS required a data visualization tool that would help them compare healthcare performances across the hospitals and showcase the best ones. Fingent helped develop a solution that was customized to the NHS’s specific needs and designed an application with interactive visuals and real-time access to insights. 

Fingent’s portfolio includes top-notch solutions like this, including an online engagement platform for NovitaCare and a patient care solution to promote effective communication in the healthcare ecosystem. Working with clients globally, Fingent has been able to have a direct impact on simplified patient care, operational efficiency, and cost savings for healthcare providers. 

Future Trends In Healthcare Software Development 

The future evidently holds great plans for healthcare software. We have only skimmed over the uses and possibilities that technology has introduced to healthcare; there are so many more possibilities.  

1. AI in Healthcare

Artificial Intelligence is the most beneficial factor of technology for the healthcare industry. It can effortlessly mimic human cognition in analyzing, interpreting, and evaluating complex medical data. AI can perform data analysis through the healthcare system and can be widely used to predict patient admissions and improve clinical workflows. 

2. IoT in Healthcare

IoT (Internet of Things) has the potential to enable healthcare professionals to supervise their patients more accurately. It can equip healthcare workers and professionals with the tools to deliver excellent care and treatment to patients. Exploiting this technology and several tech-powered wearables that enable real-time tracking, end-to-end connectivity, and remote monitoring are some of the other areas that IoT will assist.

Summary 

Healthcare Software Development benefits institution staff, patients, and administrators. Although it might seem quite diverse and may come across as a daunting task, with the right partner on your side your journey will be successful. 

Look for a partner in Fingent, and we will help you navigate the complexities and compliances that come with the development of healthcare software solutions.

Reach out to us today, and let’s get talking. 

Today we live in a world where machines possess an extraordinary ability to learn, reason, and make decisions, much like the human mind. This remarkable realm of technology known as Artificial Intelligence is not merely a product of science fiction or futuristic imagination. It has become an awe-inspiring reality that is transforming the landscape of countless industries.

But that’s just the tip of the AI iceberg.

In mobile development, AI can transform your customer’s device into a personal shopping assistant, a language guru, or a creative photographer all in the blink of an eye. 

The integration of AI in mobile app development doesn’t stop there. 

It unlocks a realm of possibilities for your customers, from personalized virtual assistants that organize their life, to fitness apps that act as their personal trainers, to healthcare apps that monitor their well-being.

But how do we understand the concept of AI in mobile apps?

Unraveling Artificial Intelligence in Mobile Apps

Simply put, AI is like the brain behind the scenes, making your apps smarter and more interactive. 

One of AI’s superpowers is Machine Learning (ML). It’s like a super adaptable brain that learns from data and experiences. Machine learning algorithms analyze massive amounts of information to get better at tasks. They can recognize patterns, make predictions, and even understand your preferences.

Another clever component is Natural Language Processing (NLP). It’s like an AI language translator that allows you can talk to your app, ask questions, and it magically understands and responds. NLP allows your AI sidekick to grasp the meaning behind your words, making conversations with your app feel more human-like. 

How does it help?

Read more: Understanding NLP: Will It Reign Supreme In Near Future?

From Mundane to Marvelous – Benefits of AI In Mobile Apps

Weaving the powers of AI into your mobile apps can enhance user experience. How? Like a brilliant and intuitive companion, AI-powered mobile apps can provide personalized recommendations. AI algorithms analyze user behavior, learn their tastes, and curate a world of suggestions. 

Plus, it learns and grows with them. The more your customers use your apps, the smarter those apps become, tailoring their suggestions to your customer’s ever-changing whims and fancies and predicting their move, and effortlessly serving up what they need.

Read more: https://www.fingent.com/blog/is-ai-powered-mobile-app-what-you-need-for-your-business-now/

Key Applications of AI In Mobile Apps

AI brings a layer of intelligence to your apps that takes them to the next level. Here are some key applications that this has made possible: 

1. Voice Assistants and Natural Language Processing

40% of mobile users use voice search at least once a day. – Comptia.

Natural Language Processing (NLP) enables the integration of voice assistants like Siri, Google Assistant, and Alexa into mobile apps. No matter how they phrase it, NLP enables your app to decipher the meaning and context of their spoken words. 

It is capable of unraveling the intricacies of slang, deciphering accents, and even understanding complex sentences with multiple layers of meaning. It’s like having a language expert at your beck and call. But it doesn’t end there. NLP allows voice assistants to learn from every interaction, becoming more intelligent over time.

2. Personalized Recommendations

AI algorithms can analyze user data to provide personalized recommendations in mobile apps by utilizing machine learning techniques:

• Data Collection: Mobile apps collect user data through various means, such as user registrations, app usage tracking, explicit ratings, and implicit signals like clicks, views, and interactions.
• User Profiling: Such data is used to create user profiles that capture individual preferences, interests, and behaviors. 
• Pattern Recognition: AI algorithms can identify similarities based on factors like item attributes, past behavior, and user demographics.
• Recommendation Generation: Based on the identified patterns, the algorithms generate personalized recommendations. For example, in a music app, the algorithm might suggest songs or artists similar to the user’s previous listening habits or recommend popular tracks among users with similar tastes.

The benefits of personalized recommendations for user engagement and satisfaction are significant:

• Enhanced User Experience: Users are more likely to discover new content they enjoy and spend more time using the app.
• Improved Discovery: Personalized recommendations help users explore new music genres, discover new movies or shows, or find products that suit their tastes, leading to greater satisfaction.
• Time and Effort Saving: With personalized recommendations, users can find relevant content more quickly and easily.
• Increased User Retention: When users receive preferred recommendations, they are more likely to remain engaged with the app. 
• Business Benefits: Personalized recommendations result in improved conversion rates and increased customer loyalty.

3. Image and Video Recognition Tasks

AI plays a crucial role in mobile apps across industries, including e-commerce, social media, entertainment, gaming, and more. For example:

• Facial Recognition: This technology is widely used in mobile apps for various purposes, such as authentication, photo tagging, and personalization.

• Object Detection: With AI algorithms, mobile apps leverage object detection for a range of purposes, such as visual search and safety features.
• Augmented Reality (AR) Experiences: AI algorithms are employed in mobile apps to enable applications like virtual try-on for shopping, gaming, and navigation.

Read Case Study: How Fingent helped build a unique mixed reality application for a leading university that enables users to identify people using facial recognition!

4. Intelligent Chatbots

The integration of AI-powered chatbots in mobile apps revolutionizes customer support and interaction by enabling efficient and automated communication with users. Using AI algorithms, chatbots recognize the intent behind user queries and quickly search and retrieve relevant information to address user queries effectively.

Success Stories

Mobile apps have been able to enhance user satisfaction, drive revenue growth, and achieve operational efficiency, resulting in their success in the mobile app market. Here are some examples:

1. Instagram

Instagram, one of the “big three” social media platforms, utilizes AI algorithms to provide personalized content recommendations in the Explore tab. This greatly improves user engagement by helping users discover relevant posts and accounts. AI is also used for content moderation, and identifying and filtering out inappropriate or spammy content, thus creating a safer user environment.

Impact: AI integration in Instagram has contributed to increased user engagement by facilitating content discovery and improving user safety by detecting and removing harmful content. Today it is 4th most used social media platform and 5th most visited website.

2. Uber

Uber, a ride-hailing platform, employs AI algorithms to optimize its dynamic pricing system. Machine learning models analyze supply and demand patterns, traffic conditions, and historical data to determine surge pricing, ensuring efficient allocation of drivers and meeting high-demand periods.

Impact: AI integration in Uber enables efficient pricing strategies, ensuring the availability of drivers during peak demand and generating increased revenue for the company.

In 2022, Uber experienced substantial growth with a revenue of $31.8 billion, marking an 82% increase from the previous year. Furthermore, the number of completed trips also saw an increase, with Uber drivers recording 7.6 billion trips, exceeding the previous peak of 6.9 billion trips in 2019. 

3. Amazon

Amazon, a leading e-commerce platform, extensively uses AI across its mobile app for personalized product recommendations, dynamic pricing, inventory management, and fraud detection.

Impact: AI integration in the Amazon app has led to increased user engagement by providing relevant product suggestions, improved customer satisfaction through personalized experiences, optimized pricing strategies, and enhanced operational efficiency.

In Amazon, it was observed that there is a 42% likelihood of a customer proceeding to a prospective product purchase. On the other hand, Walmart and Etsy have recorded figures of 16% and 13% respectively.

Amazon’s Alexa has taken over the world’s smart speaker industry, by securing an impressive 26.4% market share.

Emerging Trends in AI For Mobile Apps

Emerging trends in AI for mobile apps are shaping the future of mobile app development. Here are two key trends:

1. Edge Computing: Edge computing involves processing data locally on the device or in nearby edge servers, reducing the reliance on cloud computing. This trend enables AI-powered mobile apps to perform complex tasks and analysis directly on the device, leading to faster response times, enhanced privacy, and reduced dependency on internet connectivity.

Implications: The increasing adoption of edge computing enables apps to respond quickly to user inputs, process sensor data in real-time, and provide immediate feedback, leading to faster and more seamless experiences.

2. Federated Learning: Federated learning allows AI models to be trained collaboratively on decentralized data from multiple devices without transferring sensitive user data to the cloud. Each device performs local model training, and only model updates are exchanged, ensuring privacy and data security.

Implications: Future advancements will likely include greater transparency, explainability, and fairness in AI algorithms to ensure user trust and mitigate potential biases or discriminatory outcomes.

Personalize, Engage, and Future Proof with AI

In this era of technological revolution, artificial intelligence stands as a beacon of innovation and possibility. AI integration in mobile apps offers compelling benefits such as personalized experiences, improved user engagement, increased efficiency, advanced functionalities, data-driven decision-making, competitive advantage, and future-proofing. 

These reasons make AI integration a strategic choice for app developers looking to deliver exceptional user experiences and drive the success of their mobile app projects.

By partnering with Fingent, you can leverage our expertise in AI and mobile app development to unlock the transformative potential of AI in your app projects. From custom travel apps to apps using AI enabled chatbots and virtual assistants, Fingent has created unique solutions for clients across the globe. Our commitment to delivering tailored solutions, adherence to data privacy, and end-to-end services make us an ideal choice for AI mobile app development.

Contact us, the leading custom software development company, and let’s explore the possibilities together.

“A simple rule: always give people more than they expect.”    –  Nelson Boswell 

The cycle of business starts and ends with customers. Keeping them satisfied and happy is the number one rule of any business that dreams of being successful. Customer needs and expectations never cease, so businesses should always be prepared to meet and exceed their needs. Artificial Intelligence has been a substantial help in this area since the late 19th century, and it consistently finds new innovative ways to amplify its presence in modern businesses.

Meeting Customer Needs and Exceeding Expectations

Recent research reported that a good number of executives have already planned to invest more in rising technology to gain a competitive advantage. Due to the Covid-19 pandemic, almost all businesses were forced to move to an online platform to survive, further underscoring the need to adopt AI technology.

It is extremely imperative to recognize and address the needs, desires, and emotions of people which change from moment to moment. Businesses have to provide their customers and clients with care beyond purchases and respond to the intricacies in their lives. In a world that moves forward so fast, it’s best not to fall behind.

Read more: Realizing Self- Service in Modern Customer Experiences

What Is Artificial Intelligence and How Does It Impact Customer Experience?

The textbook definition of Artificial Intelligence is – a semblance of human-like intelligence processed by machines, especially computer systems. AI is used by developers to:

• efficiently perform mundane tasks that humans otherwise do.
• connect with customers.
• recognize patterns.
• solve problems.

AI Customer experience is when artificial intelligence tools are used to learn about customers and improve their business experience. The AI technologies that are famously emerging include machine learning, natural language processing, automation, chatbots, virtual assistants, and even enhanced customer experience platforms.

There are three major ways in which AI impacts Customer Experience –

1. Better Understanding Of Customer

Artificial Intelligence combined with machine learning enhances the gathering and analyzing of social and factual data of customers, which then facilitates businesses to gain an accurate understanding of their customers. AI is known for continuously learning and improving from the data it surveys. This enables it to predict customer behavior perfectly.

2. Real-time Decision Making

Making decisions in real-time is the ability of AI to collect fresh data from current interaction with a customer and make a decision with near-zero delay. It is a very effective marketing strategy and often leads to predictive analysis, which is the process of analyzing statistics, data mining, and modeling to make accurate predictions.

3. Hyper-Personalization

Artificial Intelligence, along with all its advanced technologies, proffers content that is specifically relevant to the customer. This eradicates the need to search for services the customer requires manually and adds a layer of comfort to the business and its customization techniques.

Top Ways Businesses Use AI To Tweak Customer Experience

Following are the top 8 utilities that Artificial Intelligence provides to boost customer experience –

1. Personalization

Businesses can easily gain a clear picture of their customer preferences and requirements by using AI and ML technologies which acquire and analyzes social, factual, and behavioral data. AI is built to predict client behavior by regularly surveying and improving the data it collects. This facilitates companies to analyze customer demographics and personal preferences. This, in turn, highlights the relevant products and resources during the browsing process.

2. Chatbots

A chatbot is a conversational AI using machine learning and natural language processing. It is automated and programmed to pretend to be human and carry out programming tasks based on specific triggers. Its unique ability is to conveniently and efficiently generate conversations between two people.

The most commonly found type of chatbot is a “question-answer bot” —this form of chatbot refrains from using advanced artificial intelligence but instead accesses a smaller knowledge base and utilizes pattern recognition.

Artificial Intelligence powered Chatbots make a business’s presence accomplished by allowing customers to find what they are looking for while simultaneously delivering a seamless experience.

Did You Know: 35% of customers want to see chatbots being used more often to improve communication and offer a better experience overall.

The best examples of Chatbots are – Apple’s Siri, Amazon’s Alexa, and Google Assistant.

Using simple rules and past interactions, bots provide insightful replies to any query, making their responses accurate, short, and creative.

3. Predictive Analysis

Predictive analytics, by definition, is to use data collected to predict a business’s future. It utilizes statistical algorithms blended with internal and external data to foresee future trends, ultimately enabling businesses to optimize inventory, enhance delivery times, boost sales, and reduce operational costs. A more accurate and punctual prediction occurs when Artificial Intelligence is added to the mix. Predictive analytics can be used by advanced analytics tools and machine learning models across any industry or business function.

4. Voice Recognition

The voice recognition model functions purely with the aid of AI to

• analyze the user’s voice and language,
• learn the words spoken,
• and then bring forth outputs with transcription accuracy as text data on a screen or model content.

With the help of this technology, devices can interact and respond to human questions in uncannily natural language.

With the ability to understand and converse with human language, Voice AI has opened up great opportunities for businesses to serve their customers better. It efficiently speeds up processes, increases productivity, and scales operations.

Approximately 55% of virtual assistant users prefer speech recognition apps be they proffer a complete hands-off operation of devices.

Examples of businesses that integrated AI for voice recognition and have successfully replaced touch-screen devices are – Amazon Echo, Siri, Google Assistant, Google Home, Amazon Alexa, and a few others.

5. Sentiment Analysis

A sentiment analysis system collects specific customer feedback and uses it to improve company products and services. When AI technologies are fused with this system, it can identify objects or situations that customers feel any negative emotions towards as expressed in text. AI understands the undertone of a statement rather than simply noting a negative or positive connotation.

Sentiment Analysis is majorly utilized by marketers to better understand their consumers’ sentiments, beliefs, and motives perfectly to make advertising to specific groups effective. It has a wide array of benefits ranging from patient insights and online reputation management to competitor analysis and product development.

Almost all social media platforms use Sentiment Analytics powered by AI. This way brands and companies can keep track of the content being shared and censor or filter content that could evoke negative emotions and cause problems.

6. Customer Journey Mapping

A customer journey map as the name suggests, is essentially the visual representation of the customer’s journey from brand discovery to purchase and post-purchase. It enables businesses to retrace a customer’s footsteps and see where their services might need any improvements or upgrades.

All through this journey, AI and Machine Learning play a vital role in ensuring a headache-free shopping experience. There are three essential stages to customer shopping: the Pre-Purchase, purchase, and post-purchase. With the assistance of AI and ML, customers thread these maps and help brands analyze and prioritize activities that impact customers, boosting internal collaboration and coordination.

The benefits of creating a customer journey map are that it helps:

• streamline the customer experience,
• optimize customer service costs,
• accelerate proactive sales solutions to customer problems, and lastly, boost customer retention rate.

Examples of businesses using customer journey mapping are – Home Depot, JPMorgan Chase, Starbucks, and Nike.

7. Fraud Detection

Fraud detection is another surprising area that AI has a distinguished hold over. AI can work with internal security to help organizations improve and protect corporate activities. Businesses can use AI to examine large quantities of exchanges and unravel misrepresentation patterns.

In the case of online fraud detection and prevention, machine learning consists of a collection of AI algorithms that are specially trained with the company’s data to suggest risk rules. The business owner can then enforce the rules to block or allow certain user actions, such as suspicious logins, identity theft, or sketchy transactions.

When fraud detection is handed over to AI and Machine Learning, businesses reap great benefits like – faster and more effective detection, reduced manual review time, faster predictions with bigger databases, and cost-effective solutions.

8. Personal Data Protection

AI and Data Protection are like two sides of the same coin; both are very important, and one cannot progress without the other. We all see and know that AI technology is advancing rapidly; it raises important questions about the use of personal data and the protection and storage of said data in AI systems.

AI is frequently used to minimize the risk of privacy breaches by encrypting personal data and detecting potential cybercrime incidents. It is, therefore, pivotal for businesses to maintain a balance between technological advancements and artificial intelligence with respect for data protection rules and guidelines.

The main benefit of Data Protection Artificial Intelligence is the elimination of human errors and its keen sense for spotting new trends and patterns.

Amazon, Apple, Facebook, IBM, Microsoft, and many other grandiose organizations have implemented this system, and many more are predicted to follow.

Read more: How AI and ML are reshaping customer experience.

AI In Action – Use Cases

AI has been implemented in virtually every facet of our lives and in every industry imaginable. Here are 3 Use Cases that will give you a gist of how they can be applied successfully.

1. Chatbots Creating Engaging Learning Experiences

Learning experiences become unique and personalized when the right assistance is provided at each stage of learning. That’s where leading educational institutions are now deploying Automated Intelligence-driven ecosystems to facilitate students to interact with AI-enabled Teaching Assistants (AiTA). The system, when tightly integrated with other Teaching Assistant Bots, enables improved interaction, easy instructor-led training, and enhnaces student-instructor relationship.

2. Simplifying Claims Management for Legal Firms

A typical compensation claims processing takes up to three years for case settlement costing an average of $85000. It’s often challenging for legal firms to balance time, money, and the cases in hand. That’s why they are now implementing AI and machine learning to improve performance efficiency. Utilizing AI and machine learning to settle claims can help legal firms reduce costs up to 57%.

3. Netflix Gets You!

Netflix is the largest streaming platform, with more than 200 million customers globally. It gained a majority of its popularity due to its personalization feature. This streaming service uses AI to create a personalized home screen interface for individual subscribers and accounts. When viewers create a new account, they are directed to pick a few of their favorite TV series and movies. The AI at the crux of Netflix analyzes the data fed to it and provides recommendations similar to the favorites picked by the user. It continues to customize the suggestions displayed based on what the user watches.

4. Rolls-Royce Rolls Out Smart, Responsible Manufacturing

To exemplify the impact of AI on Predictive Analytics, we can look at Rolls-Royce, one of the world’s largest manufacturers of aircraft engines. It deployed predictive analytics to help drastically reduce the amount of carbon produced in its engine’s product while simultaneously optimizing maintenance to assist clients and keep their planes flying longer.

5. Ask Julie!

“Ask Julie” is Amtrak’s virtual assistant. Amtrak, the national passenger railroad company of the United States has implemented this chatbot to the best advantage. Ask Julie has successfully helped provide Amtrak provide a seamless customer experience to “over 375,000 customers on their website each day and over 30 million passengers on over 300 trains each year.” The result – an 8X return on investment, more effective customer services. and reduced email costs.

Finding The Right AI Partner – A Few Tips

Digitalizing a business can be very daunting, especially when you want to integrate Artificial Intelligence into its core. Finding a partner who understands you and can communicate well with you is quite hard to find, but you must not give up hope! Keep looking because it is better to spend a little more at the start and have a quality setup rather than spend less and have a wobbly foundation that could jeopardize your whole AI implementation. Here are a few tips to keep in mind while looking for a capable AI partner –

1. Priorities

When looking for your potential AI partners, choose someone who can help the business and its employees prioritize and manage workloads.

2. Comprehend The Difference Between Machine Learning And Artificial Intelligence

Although the two may sound like they perform the same functions, do not be fooled. They each have their own region of expertise so look for someone who acknowledges that.

3. Invest In The Right Tools

In the current economy, businesses can not afford to splurge money on luxuries. Pick a partner who understands your company’s budget and can plan a perfect setup for you.

How Fingent Can Help Seamlessly Leverage AI For Customer Experience 

Artificial Intelligence is a wide ocean of opportunities, if you have the right swimming gear, you can glide on its surface. Making the right decisions and trusting the right people with your projects should not be taken lightly. Fingent is committed to providing impactful software solutions to meet business goals seamlessly. Our certified experts focus on client-centered transparency and offer complete services with a wide range of Artificial Intelligence capabilities. Our team can boost your business to be more efficient and robust through intelligent technology. We have nearly two decades of experience and completely understand our client’s needs and requirements. Give us a call and let us know how we can help you.

SAP is widely known for its brilliant abilities and functionalities, the foremost being Data Analysis. The newest version of SAP ERP is the SAP Data and Analytics Solution. It has been making great strides in helping businesses make sense of their data and make intelligent decisions.

But before we dive into that, let us briefly understand what SAP is.

What is SAP ERP?

SAP, or Systems Applications and Products in data processing, is a powerful tool revolutionizing data handling. Its extraordinary data integration capabilities have helped businesses streamline data flow while storing common information securely and efficiently.

As SAP has evolved, it has become an ERP software compiled of many fully integrated modules that have found vital applications in human capital management, data analysis, production planning, plant maintenance, quality management, and more.

Read more: SAP S/4HANA: The Definitive Guide!

Understanding SAP Data and Analytics Solution

Now that we clearly understand what SAP is and what it does let us look into SAP Data and Analytics Solution. SAP has taken the same approach as any reliable technology that would find room to grow and improve itself. SAP Data and Analytics Solution titled SAP Datasphere was launched on March 8th, 2023.

SAP Analytics for cloud, also called SAP Datasphere, is a cloud-based Business Intelligence (BI) tool designed by SAP Company to provide all the vital functionalities of an analytic tool to business users.

Carefully engineered by SAP, this tool provides analytics compatibility from data received from various databases. This tool essentially converts the raw data collected from the transactional system into comprehendible insight to assist business owners in making better decisions.

The SAP Analytics feature solely depends on data algorithms, programming, and operations research to get data insight and to find meaningful information from data cumulated from multiple data sources. This data insight and information ultimately leads to better business planning and forecasting.

Key features provided by SAP Datasphere are – Business Intelligence, Augmented Analytics, Planning, Modelling, and Smart Transformation. Some benefits that business owners can reap from this solution include – high market profitability, more accuracy in the decision-making process, reduced downtime and performance obstructions. This is a reliable solution for many challenges faced by businesses.

How SAP Data and Analytics Solution Helps Businesses Maximize Data Value

SAP solutions are famously known for making the collection, storage, management, and analysis of Big Data from multiple sources easy and seamless. It takes out the complexity of data management with its suite of products and enables businesses to handle greater chunks of structured and unstructured data. SAP uses powerful AI-driven analytics, and this is an added benefit to organizations that want to enhance operational efficiency and customer engagement.

SAP’s new platform, in addition to all its predecessor’s capabilities, also allows businesses to gain meaningful insights into customer trends and likings in order to navigate smarter decision-making across the organization.

With SAP Data and Analytics Solution, a business can get greater value from their data in three notched forms:

1. Database

It effortlessly streamlines and upraises your landscape with advanced database technology that provides flexibility, multi-cloud support, and mixed workload processing to deliver impressive results.

2. Data Management

It caters to a set of technologically advanced tools such as Artificial Intelligence (AI), Machine Learning and The Internet of Things (IoT) to identify, compile, analyze, and draw out the most context-relevant data throughout the business enterprise.

3. Analytics And Planning

Finally, it freely gives people the power and freedom to discover, plan, and act on real-time on-site insights with technologically advanced tools to assist with planning and analytics. All this is combined with a trusted semantic layer.

Watch more: How ERPs like SAP help CFOs make crucial decisions simpler!

Overview Of SAP’s Analytics Tools

Among SAP’s many nifty and beneficial tools are three major analytics tools – SAP Lumira, SAP Business Objects, and Analytics Cloud. We will now look at the basic functionality of these tools and what they bring to the table.

1. SAP Lumira

SAP Lumira, earlier known as SAP Visual Intelligence, possesses many unique features allowing it to visualize and analyze data from many different sources. In a short period after IT had prepared a robust data model and exposed it to a Presentation Layer tool, business users flocked to create impactful visualizations with numbers, charts, filters, and rankings.

2. SAP Business Objects

This tool is a more centralized data reporting, visualization, and sharing suite. It transforms chunks of data into meaningful insights and is available anywhere at any time. Using a flexible architecture, the SAP Analytics platform simplifies, personalizes, and creates dynamic information consumption.

3. Analytics Cloud

SAP Analytics Solution with Analytics Cloud combines analytics and planning with a unique integration, allowing seamless access to multiple data sources. This tool facilitates trusted insights and integrated planning processes throughout the enterprise to help business owners make quick, informed decisions.

How To Identify the Right Tools for Your Business Needs

Selecting the right SAP Analytics Cloud tool for your business can be a daunting job, but it can be made easy by keeping these pointers in mind:

• It is imperative first to analyze your business needs. Gather your organization’s tech team, its investors, and all the people you need to make this decision.
• Once you have sorted out what aspects of your business could use a little push or improvement, scout out a suitable partner to team up with.
• Next, do a thorough background check on your new potential business partner and ensure that you contact referrals before you trust your business’ future in their hands.
• Lastly, take any advice your SAP service provider may offer and keep communication clear.

How Fingent Can Help in Leveraging the Best SAP Data and Analytics Solution

Fingent’s certified experts focus on client-centered transparency and offer complete services with a wide range of SAP products.

Selecting the perfect SAP product fortifies the success of your business. A few extra benefits you receive by partnering with Fingent are – improved security, efficiency in task completion right to the deadline, automation of the data collection process, and an overall 55% gain in productivity. Want to know more?

Give us a call, and let us help you.