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Role of Cognitive AI in Business Success: Data Scientist, Samadrita Ghosh.

by Alex Carey
May 13, 2024
in Business
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Role of Cognitive AI in Business Success: Data Scientist, Samadrita Ghosh.
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Samadrita Ghosh, a London – based Indian, is a young Data Scientist and a tech visionary who has excellent background in Computer Science, Deep Learning Research and Cognitive AI. She has built Predictive Machine Learning Models using Deep Learning Methods and currently focused on methods to optimize operational efficiency and reducing costs through innovative solutions within the lands of UK.

Specialising in Big Data Science, Ghosh has done civil service in technology for the UK government. Her current focus is to understand how Cognitive AI acts as a competitive advantage across the businesses within UK, to think outside the box and decide strategically. This is to be done by understanding the customer needs followed by improved customer service, managing risks and enhancing productivity and efficiency of any service provider.

As Ghosh explains, Cognitive analysis revolutonised how a machine interacts with business by emulating human thought process. It involves a variety of techniques such as machine learning, natural language processing combined with neural network and computer vison. According to her research, UK is experiencing a steady growth of businesses that are using at least one AI technology. More than 80% of companies have adopted AI in some way.  40% of business develop AI in-house whereas 40% purchase external AI solutions and remaining 20% outsource their AI. 92.1% of organisations in 2022 believe that investing in data and AI yields significant benefits. This figure has increased dramatically after 2020, when 70.3% reported quantifiable results from data and AI. Again, in 2017, just 48.4% of firms achieved quantifiable outcomes.

Speaking further, Samadrita points out 5 key reasons why Cognitive AI matters for business improvement.

Improved decision-making: Cognitive analysis can help enterprises make better decisions by offering insights that standard data analysis approaches cannot provide.

Increased efficiency: It can automate processes that are now done by humans, allowing staff members to focus on more critical work.

Reduced costs: Cognitive analysis may assist organisations in cutting expenses by identifying instances where they could boost efficiency or mitigate waste.

Fraud detection: Cognitive analysis is capable of finding patterns of fraudulent conduct in real time. This can help businesses avoid fraud altogether.

Customer service: It can help enhance customer service by creating chatbots that can answer queries and fix obstacles. Using Cognitive analysis, businesses can offer personalised experiences for each consumer, making them feel valued and acknowledged. This personal touch could foster consumer loyalty and retention.

To anticipate future events, Samadrita envisions a future where Cognitive AI is reshaping the digital landscape across UK, where the businesses are accelerating innovation and offering new opportunities. Within the UK, it will enhance areas such as healthcare, manufacturing, and customer service, resulting in better experiences for both employees and customers.

Samadrita has shown some light on real-world examples. Microsoft Cortana, Apple Siri, and IBM Watson all constitute well-known cognitive analytics systems. They depend on artificial intelligence to interpret and respond to questions from users, therefore making everyday technology smarter.

Upon asking how AI powered Cognitive Analytics differ from traditional Machine Learning for business, Samadrita shares that traditional machine learning often calls for structured data and predetermined models. AI-powered Cognitive Analytics, on the other hand, can manage unstructured data and employs complex algorithms to learn and adapt over time, resulting in more nuanced and predictive insights.

Besides Cognitive AI, Samadrita is engaged in improving predictive models using Deep Learning that can be used for UK economy to predict Stock Markets, including algorithms of Deep- Learning. Her project aims to accurately predict the up and downtrend of stock market prices gathered over a frequency of over a decade.

Alex Carey

Alex Carey

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