UPDATED 14:37 EDT / MARCH 12 2024

TheCUBE Research analysts Dave Vellante and John Furrier kick off the "Supercloud 6: AI Innovation" event. They discuss AI everywhere and AI innovators. AI

‘AI everywhere’ transforms tech infrastructure and data management: live analysis from Supercloud 6

The rapidly evolving domain of artificial intelligence, especially generative AI, continues to disrupt organizations across industries. ‘AI everywhere’ is the buzzword dominating the enterprise.

The transformative impact AI brings to the foundational layers of technology infrastructure, software and applications is enormous, and the role of data and innovation in shaping the future of generative AI is critical.

“This AI thing is real. It’s AI everywhere … powering all the trends, all the markets … all the way through the stack,” said Dave Vellante (pictured, right), co-founder and chief analyst of theCUBE Research.

AI’s transformative power across the technological spectrum is a growth wave never seen before. Today’s AI innovations are deeply intertwined with data quality and compliance concerns, which were less pronounced in earlier tech revolutions.

Vellante and his co-analyst John Furrier (left), executive analyst of theCUBE Research, kicked off the “Supercloud 6: AI Innovators” event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the transformative impact of AI on various sectors and previewed the diverse group of pioneers, startups and thought leaders they’ll be talking to throughout the day about navigating the complexities and potential of generative AI and machine learning.

AI everywhere: AI’s impact on business strategies and operations

The integration of AI into business operations presents significant challenges and opportunities. Companies must adapt quickly to leverage AI effectively.

“The game is still the same, but it’s being played out under new conditions, new infrastructure, new software abstractions, new kinds of chips and server and component configurations, like we covered with Broadcom and Nvidia,” Furrier said. “But the developer action is super robust. You’ve got massive open-source development.”

This reflects the evolving landscape where traditional business models are being disrupted by AI, necessitating a reevaluation of strategies concerning infrastructure, data management and application development. Generative AI, is not just about the technology itself, but also about how it’s being adopted and implemented across industries.

“You really can’t have good AI without good data,” Vellante said. “There’s not only a transformation going from AI, but there’s a data transformation going on where everybody’s kind of trying to put data at the core of their business because it’s an enabler for quality AI.”

Innovation, data integration and the rise of supercloud in AI evolution

Startups and established companies alike are navigating the complexities of integrating AI into their systems. A balance between innovation and handling sensitive data responsibly is critical, according to Furrier and Vellante. The role of developers and the impact of open-source development in fueling AI innovations are critical factors contributing to the widespread adoption and evolution of AI technologies.

“What generative AI … means is that startups and innovators have to deal with two things: a moving train in terms of the growth trend — generative AI, the new technology, the new infrastructure — and then dealing with the sensitive data in the company,” Furrier said.

Integrating AI into business isn’t just about launching an experimental project or assembling a development team. It requires a dual focus on pioneering innovation in both development and infrastructure while also integrating the company’s most valuable asset — its data — from the beginning, Furrier explained.

This approach is unique and presents a formidable challenge for startups. They must navigate the complexity of making what is essentially an enterprise-level pitch just to access the necessary data, because without it, they can’t demonstrate any real value from their AI initiatives, Furrier added. Simply setting up technical capabilities isn’t enough; securing access to data is crucial.

“That’s going to be a challenge and an opportunity for whoever can crack the code on that,” he said.

Here’s the complete video, part of SiliconANGLE’s and theCUBE Research’s coverage of the “Supercloud 6: AI Innovators” event:

Photo: SiliconANGLE

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