Artificial Intelligence - Tanuka Mandal

How AI in Fintech for 2025–26 has Rebuilt Digital Banking

Leave a Comment / Banking Analytics, Artificial Intelligence / Tanuka

AI in fintech for 2025–26 represented a structural break from the past. Artificial intelligence is redefining products are design, risk, compliance et. al. For most of the last decade, fintech innovation focused on digitizing existing banking processes—mobile onboarding, API connectivity, cloud migration, and faster payments. AI in fintech through the year 2025–26 represented a structural […]

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Agentic AI in Banking Sector: Next Transformation in Banking

Leave a Comment / Banking Analytics, Artificial Intelligence / Tanuka

Agentic AI in Banking is not simply an upgrade to existing AI systems—it’s a redefinition of what intelligent systems can do.

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XAI in Banking Sector: Explainable Artificial Intelligence

Leave a Comment / Banking Analytics, Artificial Intelligence / Tanuka

XAI in banking sector is a specialized area within artificial intelligence that aims to enhance transparency by clarifying decision-making processes.

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Generative AI – The Buzz Around It

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Generative Artificial Intelligence or Generative AI is a set of algorithms capable of generating text, images, or other media in response to prompts. It performs beyond simple classification problem. It can create new text, images, video, audio, code, or synthetic data. Whenever any AI technology is generating something on its own, it can be referred

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Impact of AI on Communication

1 Comment / Artificial Intelligence, Big Data Analytics / Tanuka Mandal

Communication is the most important factor that induces connectivity and production. Nowadays, AI has come a long way to enhance business communication between consumers. AI applications can apply behavioural science to analyze human behaviour and provide relevant feedback to leverage their emotional intelligence. . Requirements to Establish Communication Proper data is the primary requisite for

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Self-driven Car Industry – a sneak peek

Leave a Comment / Artificial Intelligence / Tanuka Mandal

Among the many applications of machine learning (ML) that has been a success, self-driven car is one of them. A self-driven car, a.k.a. autonomous car or driver-less car is a vehicle which can sense its own environment and drive without any human intervention. Since the last few years, tech companies have been pairing up with

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Use of Artificial Intelligence in Diabetes Prevention

Leave a Comment / Artificial Intelligence, Health Analytics / Tanuka Mandal

The highest number of people with diabetes is in China and India. India ranks 76th with around 9% prevalence. 46% of people around the world with diabetes go undiagnosed. By 2040, this figure is expected to rise to 642 million worldwide. Many people with diabetes are diagnosed late and hence develop Type II diabetes. Predicting

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Artificial Intelligence in the Insurance Industry

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Artificial Intelligence (AI) has unfolded its productive power for different industries. Insurance industry can gain tremendously by investing in AI-enabled technology and software. According to a survey, 74% of customers like to interact with computer-generated system of insurance advice. AI helps put massive amount of data to optimal use. Insurers use artificial intelligence for various

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Emergence of AIoT: Artificial Intelligence of Things

Leave a Comment / Artificial Intelligence, Machine Learning / Tanuka

Artificial Intelligence (AI) today is a form of advanced analytics that relies on machine learning (ML), optimization and deep learning. Artificial Intelligence of Things (AIoT) is less of a new industry than it is the combination of pre-existing industries. AI and ML automotive solutions add more intelligence to the “sensing”, “thinking” and “acting” processes of

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