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SBI on Monday said it has proposed to enhance the use of business analytics and AI/ML in decision-making and operations by deploying NextGen Data Warehouse and Data Lake and exploring new partnerships with fintechs and NBFCs for co-lending.The country's largest lender, in its annual report posted on stock exchanges on Monday, said it deploys the most advanced technologies like artificial intelligence (AI), machine learning (ML) and business analytics, among others, to augment its product offerings to enhance customer…

The integration of AI and ML in products has become a trend in recent years. Companies are trying to incorporate these technologies into their products to improve their efficiency and performance. And this year, particularly with the boom of ChatGPT, almost every company is trying to introduce a feature in this domain. One of the main benefits of AI and ML is their ability to learn and adapt. They can analyze data and use it to improve their performance over time. This means that products that incorporate these…

A new survey details the potential risks of data science teams not having the necessary skilled staff, funding and tech resources to deliver on AI/ML initiatives, as well as how leaders can close this gap. Image: Gorodenkoff/Adobe Stock Data and analytics leaders say they are unable to meet business leaders’ high expectations for artificial intelligence and machine learning initiatives because they are understaffed and underequipped, according to a new report titled Build A Winning Data Analytics…

Table of Contents Introduction Installation of dependencies  and importing of Blenderbot model Chatting with the model Conclusion References Introduction In Artificial Intelligence, Blenderbot comes under the category of conversational agents. A conversational agent, or CA, is a computer program designed to have a conversation with a person, according to Wikipedia. In other words, conversational agents are automated systems — often driven by artificial intelligence — that are designed to have natural-language…

Photo by Miguel Á. Padriñán on PexelsIn this age of data-first organizations, no matter what industry you’re in, you’re most likely collecting, processing, and analyzing tons of customer data. It could be for fulfilling a customer’s service request, for legal or regulatory reasons or for providing your customers with better user experience through personalization using artificial intelligence or machinelearning. However, as per Statista, data breaches are increasing every year with 1862 reported data compromises in 2021,…

Keeping an eye on one’s expenses is a task that needs some effort and at times the traditional methods of having an ‘udhar bahi khata’ defeats the very purpose of saving you from getting lost in the maze of entries. For centuries accountants have depended on physical khata books to help themselves with managing their finances efficiently. However, with growing digitalization, accounting too had to evolve and hence the proliferation of a number of finance management apps. Taking the trend ahead, Khatabook, a digital…

 For companies looking for newer and better engagement strategies, particularly through voice-based channels, cloud communications come to mind. Apart from relieving the company from building its own telecom infrastructure, it has numerous other benefits in terms of flexibility, compatibility, and an ability to scale up to the growing demand making it an omnichannel option. Infobip, a cloud communication platform, known to be the world’s most connected platform provides cloud base- tools to help businesses and…

Your organization can use data governance for AI/ML to build the foundation for innovative data-based tools. Image: Gorodenkoff/Adobe Stock Data governance assures that data is available, consistent, usable, trusted and secure. It is a concept that organizations struggle with, and the ante is upped when big data and systems like artificial intelligence and machine language enter the picture. Organizations quickly realize that AI/ML systems function differently from traditional, fixed record systems.…

The power of AI and ML play a substantial role in defining cybersecurity processes. Every day, the attack surface keeps on getting bigger and bigger. Threats have not only become complex but are also more difficult to detect. On a daily basis, it is common for cybersecurity teams to grapple with a huge number of alerts that are difficult to analyze and take action. The sheer number of connected devices coupled with scarcity in the number of skilled security professionals makes it a daunting task for any enterprise…