Formerly known as Wikibon

239 | Breaking Analysis | CrowdStrike Incident Sounds an Alarm on Critical Infrastructure

The chaos caused by yesterday’s CrowdStrike content update shows that even the most successful cybersecurity firms with great management, award-winning products and a growing business, are exposed to unexpected events. What’s even more important is that it underscores the fragility of our connected world and the critical infrastructure that makes it run. Virtually every industry, […]

Unlocking the Future of Mainframes: Why They’re More Relevant Than Ever!

Image of modern mainframe servers in a data center, representing mainframe modernization.

Mainframes continue to be a critical component of enterprise data strategies, evolving to meet the demands of modern data environments. This article explores the modernization of mainframes, their significance for real-time analytics, and their integration with AI and ML applications. It highlights the sustainability advantages of mainframes, their robust security and governance features, and their strategic role in future data infrastructures. By embracing modernization without disruption, businesses can leverage the scalability, reliability, and security of mainframes while integrating them with cloud-native technologies and modern data platforms. The future of mainframes is bright, offering a path to innovation and growth for organizations.

238 | Breaking Analysis | Harnessing AI as IT Spending Gradually Improves

AI continues to lead all enterprise IT sectors by a wide margin in terms of spending momentum. But that momentum has not led to an across the board boost in productivity or meaningful revenue gains for firms. Specifically, the adoption of Gen AI is increasing steadily but the use cases are not yet self-funding. As such, the outlook for IT spending, while slowly improving in the second half of 2024, remains constrained.

237 | Breaking Analysis | Gen AI is Passe’, Enter the Age of Agentic AI

In this Breaking Analysis we share our thoughts on the emerging trends around agentic AI. We’ll define what it is, how agentic builds on (and is additive to) generative AI, what’s missing to make it real, what the stack components look like and some of the likely players in the space. 

HPE and NVIDIA Rock the Sphere

Discover how HPE is revolutionizing AI and sustainability at HPE Discover 2024. Learn about HPE Private Cloud AI, Nvidia AI Computing by HPE, advanced networking solutions following the Juniper acquisition, and innovative sustainability practices. Explore HPE’s holistic approach to AI deployment and its commitment to reducing environmental impact through cutting-edge liquid cooling technologies. Find out how HPE is shaping the future of AI and sustainable IT.

The Vision of Agents in the Enterprise

Transcript of Salesforce: Agents in the Enterprise | Road to Intelligent Data Apps, 6/21/24 Interview with Vijay Pandiarajan, VP of Product Management, Salesforce Mulesoft In this interview, Vijay Pandiarajan, VP of Product Management at Salesforce, explains the company’s approach to enterprise AI agents. Readers will learn how Salesforce agents leverage the company’s Customer 360 data […]

236 | Breaking Analysis | Decoding the Chess Moves of Snowflake and Databricks

As customers try to “get AI right,” the need to rationalize siloed data becomes increasingly important. Data practitioners could put all their data eggs into a single platform basket, but that’s proving impractical. As such, firms are moving to an open model where they maintain control of their data and can bring any compute engine to any of their data. While compelling, the capabilities to govern open data across an entire estate remain immature. Regardless, the move toward open table formats is gaining traction and the point of control in the data platform wars is shifting from the database to the governance catalog.

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