UPDATED 10:30 EDT / OCTOBER 18 2023


Learn how generative AI transforms every industry at theCUBE’s Supercloud 4 event, Oct. 24-25

Enterprises across industries are increasingly adopting generative artificial intelligence, reshaping compute infrastructure, back-office applications, marketing and even manufacturing.

What is not yet fully understood is how businesses will leverage and profit from AI as they confront challenges in this once-in-a-generation technology explosion. This will be a central focus of SiliconANGLE’s and theCUBE’s next supercloud event.

Running live October 24-25, “Supercloud 4: Generative AI Transforms Every Industry,” presented by SiliconANGLE and theCUBE, SiliconANGLE Media’s live streaming studio, will bring together artificial intelligence executive, experts, technologists, investors and thought leaders to explore the key trends surrounding generative AI, supercloud and the future impact on the enterprise world. Check out the full list below.

“This is a party of epic proportions from a business perspective,” said John Furrier, industry analyst for SiliconANGLE, in a recent edition of theCUBE podcast. “Think about the growth. This is going to be a surge of growth that’ll hit all parts of the ecosystem, not just one category.”

The free editorial event will feature recorded and live interviews and analysis with top leaders from major industry players. This will be the fourth in SiliconANGLE’s Supercloud series, which has featured tech leaders from Walmart, Saks, VMware, Google, Cisco, Western Union, Snowflake, Databricks, CrowdStrike, Cloudflare, Greylock Partners, Vertex Ventures, AllegisCyber Capital and many others on cloud data and cybersecurity.

The October event will dig into how generative AI will reshape enterprises and continue to fuel supercloud, the abstraction layer for cloud-native applications across multiple clouds and on-premises data centers.

Find out all you need to know about SiliconANGLE and theCUBE’s Supercloud event series at supercloud.world, and watch some key insights about the “rise of the supercloud” below:

AI reshapes the enterprise

There is a growing body of evidence that generative AI has already begun to reshape enterprises in major ways, and one recent study has shown that nearly three-quarters of business leaders from Fortune 500 companies plan to incorporative generative AI within the next three years.

At three major technology industry gatherings held in the month of August alone, there was significant focus on the impact of generative AI across the industry spectrum. At the Black Hat cybersecurity conference, researchers and security company executives expressed concern around how gen AI would dramatically reshape the cybersecurity community. During VMware Inc.’s Explore event, the virtualization pioneer unveiled a series of announcements designed to provide enterprise customers with new tools for deploying generative AI.

At the end of last month. Google Cloud used its annual gathering to deploy its own set of gen AI solutions, including a platform for building large language models on hardware supplied by Nvidia Corp. The announcement was in response to customer demand for more powerful virtual machines to deal with the demands of generative AI workloads.

“The number of parameters in LLMs has increased by 10x per year over the past five years,” said Amin Vahdat, Google LLC’s general manager of machine learning, systems and cloud AI, in a blog post during the conference. “As a result, customers need AI-optimized infrastructure that is both cost-effective and scalable.”

Major players battle

Google’s announcement with Nvidia highlighted an important development in the evolution of supercloud and the rise of generative AI. The confluence of the two trends has ignited a battle to create more robust AI chips to drive enterprise applications across multiple cloud platforms.

Nvidia has positioned itself as a force within the generative AI arena. The chipmaker announced a slew of new generative AI products in August and debuted software in September designed to boost AI model performance on its high-end chips. Competitor Advanced Micro Devices Inc. has been active in this area as well, introducing a new accelerator chip specifically targeting generative AI workloads.

Gen AI has also sparked a battle between cloud and on-premises providers. SiliconANGLE has reported that the business case for cloud migration is not as strong for many legacy applications, and growth will likely come from new features on top of existing cloud workloads. This has opened an opportunity for major enterprise players in the on-premises space.

“On-premises workloads are ripe for AI injection, and incumbents such as Cisco Systems Inc., IBM Corp., Dell Technologies Inc. and Hewlett Packard Enterprise Co. are eyeing opportunities and aggressively investing,” Dave Vellante, industry analyst for SiliconANGLE, wrote in a recent Breaking Analysis post.

Startups emerge

Mushrooming enterprise interest in gen AI has fostered the growth of numerous startups seeking to gain an edge in the market by providing new technologies to improve use of the tool and generate results. One example of this can be found in the startup Hugging Face Inc., which operates a platform for hosting open-source AI projects. The rapidly growing company is now valued at $4.5 billion, and its investors include Amazon, Google, IBM, Salesforce, AMD, Nvidia, Intel and Qualcomm.

Not to be ignored in the frenzy of activity accompanying industry funding of gen AI startups are the continued partnerships and initiatives being driven by major cloud providers. Gen AI startup Contextual AI Inc. recently named Google Cloud as its preferred provider, with plans to leverage the search giant’s infrastructure to train its large language models.

It has also been reported that Google’s DeepMind research group is working on at least 21 new gen AI capabilities. Some analysts see moves such as these as a way to counter the significant head start received by Microsoft Inc. when it became a major investor in ChatGPT’s creator OpenAI.

“The equation has now changed. Microsoft basically cut the line with the OpenAI deal,” Vellante said. “The hyperscalers have all dominated in the AI conversation, and they’ve put a lot of investment in there. There are really interesting changing dynamics on the chessboard.”

TheCUBE event livestream

Don’t miss theCUBE’s coverage of the “Supercloud 4: Generative AI Transforms Every Industry” event Oct. 24-25. Plus, you can watch theCUBE’s event coverage on-demand after the live event.

How to watch theCUBE interviews

We offer you various ways to watch theCUBE’s coverage of the “Supercloud 4: Generative AI Transforms Every Industry” event, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.

TheCUBE Insights podcast

SiliconANGLE also has podcasts available of archived interview sessions, available on iTunesStitcher and Spotify, which you can enjoy while on the go.

SiliconANGLE also has analyst deep dives in our Breaking Analysis podcast, available on iTunesStitcher and Spotify.


During the “Supercloud 4: Generative AI Transforms Every Industry” event, theCUBE analysts will talk with industry experts and executives about the red-hot, fast-changing world of generative AI. Here’s the list of guests so far:

Reggie Townsend, VP of data ethics, SAS

David Linthicum, chief cloud strategy officer, Deloitte

Ori Goshen, co-founder and co-CEO, AI21 Labs

Lior Gavish, co-founder and chief technology officer, Monte Carlo Data

June Yang, VP, Cloud AI and Industry Solutions, Google Cloud

Scott Likens, global AI and innovation technology leader, PricewaterhouseCoopers

Jose Pedro Almeida, chief AI strategist in healthcare

Jeff Boudreau, chief AI officer, Dell Technologies

Sridhar Ramaswamy, co-founder, Neeva

Andy Pernsteiner, CTO, VAST Data

Chetna Mahajan, CIO, Amplitude

David Glick, SVP, Enterprise Business Services, Walmart

Aaron Amendolia, deputy CIO, National Football League

Howie Xu, SVP, engineering and AI/ML, Palo Alto Networks

Vijay Mital, corporate VP, AI architecture and strategy, Microsoft

Jayesh Govindarajan, SVP, Salesforce AI

Warren Barkley, cloud AI leader, Google Cloud

Vikram Joshi, CTO, Compute.ai

Joel Inman, CEO, Compute.ai

Vince Kellen, CIO, UC San Diego

Alice Steinglass, EVP and general manager of Salesforce Platform

Krishna Rangasayee, founder and CEO, SiMa.AI

Arun Subramaniyan, VP, cloud and AI, Intel

Swatee Singh, financial services EVP, chief data and AI Officer, TIAA

Image: SiliconANGLE

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