Fingent’s Artificial Intelligence Services
We help you leverage AI to drive the smart reinvention of your business workflows, processes, and technology
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Fingent enabled a leading university to develop an Automated Intelligence-driven ecosystem that facilitates students to interact with an AI-enabled Teaching Assistant. The intelligent ecosystem is powered by IBM Watson and integrated with many Teaching Assistant Bots. Read More
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Consistent high-quality results with robust agile teams and dedicated QA practices
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By initiating your project with Fingent, you get a dedicated and skilled team backing you up round-the-clock. All our processes are customer-oriented, designed to reduce the cost of business operations, address IT resourcing challenges, and offer you a competitive edge. We start with a deep analysis of your requirements and continue our relationship with post-launch support and updates.
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Hundreds of futuristic businesses have derived strategic advantages from our transformative solutions.
“Off-the-shelf products in the market couldn’t accommodate our multi-party customer relations model.”
“Fingent’s custom CRM application streamlines processes for both our builders and suppliers. They even suggested ideas to maximize efficiency.”
“Fingent helped us replace our technology with a new platform solution that included ASP pages and SQL databases. “
“They’re very good at explaining things, not overwhelming us with technical buzzwords. ”
Artificial intelligence is a term used to describe a machine or software that mimics human intelligence to perform a task. AI is a program that can sense, reason, act, and adopt.
Artificial Intelligence uses machine learning to imitate human intelligence. Using algorithms and historical data, it learns how to respond to particular actions. Automated email marketing, product recommendation ads, chatbots, and voice searches are some of the common examples of AI today.
The 3 types of AI are:
General AI: AI that can perform all of the intellectual tasks a human can. Currently, no form of AI can think abstractly or develop creative ideas in the same ways as humans.
Narrow AI: Narrow AI commonly includes visual recognition and natural language processing (NLP) technologies. It is a powerful tool for completing routine jobs based on common knowledge, such as playing music on demand via a voice-enabled device.
Broad AI: Broad AI typically relies on exclusive data sets associated with the business in question. It is generally considered the most useful AI category for a business. Business leaders will integrate a broad AI solution with a specific business process where enterprise-specific knowledge is required.
AI is providing new ways for humans to engage with machines, transitioning personnel from pure digital experiences to human-like natural interactions. This is called cognitive engagement.
AI is augmenting and improving how humans absorb and process information, often in real-time. This is called cognitive insights and knowledge management. Beyond process automation, AI is facilitating knowledge-intensive business decisions, mimicking complex human intelligence. This is called cognitive automation.
Machine learning, deep learning, robotics, computer vision, cognitive computing, artificial general intelligence, natural language processing, and knowledge reasoning are some of the most common business applications of AI.
Artificial intelligence (AI) applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled.
Current capabilities of AI include examples such as personal assistants (Siri, Alexa, Google Home), smart cars (Tesla), behavioral adaptation to improve the emotional intelligence of customer support representatives, using machine learning and predictive algorithms to improve the customer’s experience, transactional AI like that of Amazon, personalized content recommendations (Netflix), voice control, and learning thermostats.
Future capabilities of AI might probably include fully autonomous cars, precision farming, future air traffic controllers, future classrooms with ambient informatics, urban systems, smart cities and so on.
To know more about the scope of artificial intelligence in your business, please connect with our expert.