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Supercharge your data strategy: Integrate and innovate today leveraging data integration

IBM Journey to AI blog

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

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Ken Claffey, CEO of VDURA – Interview Series

Unite.AI

Can you share the story behind the creation of the VDURA Data Platform and the key challenges you aimed to address in the AI and HPC landscape? The VDURA Data Platform was developed to address a critical and growing gap in data infrastructure for AI and HPC workloads: balancing high performance with enterprise-grade durability.

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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

A good place to start is refreshing the way organizations govern data, particularly as it pertains to its usage in generative AI solutions. For example: Validating and creating data protection capabilities : Data platforms must be prepped for higher levels of protection and monitoring.

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Rohit Choudhary, Founder & CEO of Acceldata – Interview Series

Unite.AI

My experience as Director of Engineering at Hortonworks exposed me to a recurring theme: companies with ambitious data strategies were struggling to find stability in their data platforms, despite significant investments in data analytics. They couldn't reliably deliver data when the business needed it most.

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Jeremy Kelway, VP of Engineering for Analytics, Data, and AI at EDB – Interview Series

Unite.AI

As AI becomes more embedded in enterprise systems, how does Postgres support data governance, privacy, and security, particularly in the context of handling sensitive data for AI models?

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Data virtualization unifies data for seamless AI and analytics

IBM Journey to AI blog

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Journey to AI blog

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

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