Breaking Analysis with Dave Vellante

Comparing the AI boom to the dotcom bubble, discussing exuberance in stock market, speed of innovation, and accessibility of AI. Exploring parallels between past tech booms and current AI era, examining market dynamics and uncertainties. Reflecting on IPOs during dotcom bubble, transition to AI era, and risks in AI market.

The past twenty-four months have seen cloud spending face dual headwinds of macroeconomics and the ability to dial down resources as needed – i.e. cloud optimization. Nonetheless, the big four hyperscalers clocked in between $170 – $190B in IaaS and PaaS revenue last year depending on how you factor the leaked court documents suggesting Azure is much smaller than previously believed. Regardless, hyperscaler growth continued to outpace almost all markets, accelerating between 18-19% in revenue terms last year, despite their enormous size.As we progress into 2024, IT decision makers are cautiously optimistic about spending levels, especially for the second half. All hyperscalers report that cloud optimization is slowing although pockets of cloud cost cutting remain. While AI gets all the headlines, its contribution to revenue is still a small fraction of the overall spending pie. For example, we estimate that Microsoft’s AI services accounted for around $800M this past quarter. But the trajectory for AI services and the potential uplift looks promising for all four hyperscalers. We think collectively the generative AI uplift in cloud will surpass $10B this year.In this Breaking Analysis we update you on our latest hyperscale cloud spending and marketshare data. We’ll analyze the ETR survey data on cloud optimization, assess the Gen AI updraft for the big 3 US cloud players and look at some of the industry trend data on cloud spend by platform.

Exploring Intel's bold move to revitalize semiconductor manufacturing in the US amidst fierce competition from AMD, NVIDIA, and challenges posed by ARM and China Inc. Discussing Intel's strategy, technological advancements, and the evolving landscape of the global semiconductor supply chain. Delving into funding strategies, leadership challenges, and potential scenarios for Intel's market position in the future.

The hosts discuss predictions for enterprise technology in 2024, including IT spending, Gen AI, AI ROI, cybersecurity, and tech budget expectations. The influence of hyperscalers and sophisticated data companies in the AI journey is explored, as well as the emergence of a power law in 2024. The importance of data quality in AI, surprising decline in cloud migration, and rebound and innovation in the cloud are also discussed.

In this Breaking Analysis, theCUBE Research analyst Dave Vellante unpacks the Enterprise Technology Research January spending data and digs into those areas that are expected to show above average performance and those that are likely to lag.Follow theCUBE's live event coverage https://www.thecube.net/

The podcast discusses the future of intelligent data apps, the concept of semantic layers, challenges in building enterprise models, shifting to an intelligent model of the business, retrieval augmented generation, and the future possibilities of applications.

In this special Breaking Analysis, industry analysts focused on data platforms discuss predictions for 2024. They evaluate past predictions, discuss the growing popularity of SQL in the database space, explore the future of data analysis with generative AI, emphasize the importance of heterogeneity in data platforms, and highlight the role of Gen AI in increasing access to analytics.

The podcast grades their 2023 predictions on IT spending, cost optimization, security, generative AI, cloud, blockchain, data platforms, automation, and tech events. They discuss accuracy of previous predictions, including acquisitions, advancements in AI, and zero trust security. They also discuss AI hype, cloud expansion, and blockchain struggles. Finally, they make predictions for 2023, including the embrace of Ethereum, momentum of snowflake and Databricks, automation comeback, and upcoming predictions for 2024.

This podcast explores the challenges of achieving full stack observability, evolution of observability and market segmentation, changes in observability tools and AI adoption, difficulties and opportunities for full stack observability and AI, and the market shift towards platforms and potential consolidation.