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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content.

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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

A coordinated partnership: How these tools work together By using IBM Db2, IBM watsonx Assistant and NeuralSeek, we offer a comprehensive solution that streamlines data management, enhances accessibility, and helps to ensure security and integrity across your enterprise.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel. Scaling AI in business presents unique challenges: Data accessibility : Fragmented and siloed data stifle advancement.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Five benefits of a data catalog

IBM Big Data Hub

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Driving new revenue streams through artificial intelligence and advanced analytics

CGI

For more than 50 years, banks have relied on computers and software to manage and secure their data, as well as protect their customers’ interests. We are now on the cusp of a major revolution—something that will be as big for banks as the internet was for retail businesses. What’s driving this momentous change?

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Companies need help making the dream of digital transformation a reality

IBM Big Data Hub

For example, when a customer contacts the business via chat, email or social media, that text or voice recording is unstructured data that needs to be collected and analyzed as part of the interaction. This is especially important in customer interactions.