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We help you leverage AI to drive the smart reinvention of your business workflows, processes, and technology
We develop custom AI-powered apps that can help derive transformative insights to grow your business. We have expertise in a wide range of AI platforms such as Natural Language Processing, Computer Vision, Speech Recognition, and so on.
We empower enterprises with robotic and business process automation that yields a greater margin of profit with reduced manpower and operating cost. Automating monotonous tasks leads to enhanced accuracy and efficiency in business operations.
Self-learning AI identifies intelligent insights from customer data and statistically generated algorithms to predict future outcomes. We help organizations make use of such insights for solving business challenges and discovering new growth opportunities.
Access state-of-the-art technology solutions to harness the growing capabilities of machine learning. Our team of experts can help you build and deploy innovative machine learning solutions to drive automation throughout your organization and achieve business objectives faster.
With our expertise in conversational AI that can listen and speak, we can help you maximize productivity, boost sales, increase customer satisfaction and lower operational costs through automated high-frequency customer interactive chatbots.
Fingent’s tech experts can help your business leverage AI technologies to create intelligent and unique customer experiences. Personalized services elevated with AI superpowers your customer experience and reduces your operating costs exponentially.
Consistent high-quality results with robust agile teams and dedicated QA practices
Highly cost-effective and best-of-breed solutions with no last minute surprises
Transparent project management with maximum adherence to deadlines
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.
