CIO Business Intelligence
OCTOBER 29, 2024
The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. Years later, here we are.
Network World
MARCH 17, 2025
Its enterprise-grade. For enterprises navigating this uncertainly, the challenge isnt just finding a replacement for VMware. It would take a midsize enterprise at least two years to untangle much of its dependency upon VMware, and it could take a large enterprise up to four years. IDC analyst Stephen Elliot concurs.
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CIO Business Intelligence
DECEMBER 10, 2024
The software and services an organization chooses to fuel the enterprise can make or break its overall success. Here are the 10 enterprise technology skills that are the most in-demand right now and how stiff the competition may be based on the number of available candidates with resume skills listings to match.
Network World
MARCH 26, 2025
Red Hat announced updates to Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI), with a goal of addressing the high costs and technical complexity of scaling AI beyond pilot projects into full deployment. IDC predicts that enterprises will spend $227 billion on AI this year, embedding AI capabilities into core business operations.
Advertiser: GEP
Discover how these strategies can boost your enterprise's financial health, helping not only to keep up but to excel in today's market. You'll also find out how the transformative power of synergies and collaborative innovations in product development can help companies cut down costs significantly.
Network World
NOVEMBER 11, 2024
Arista has between 10 and 15 classic enterprise accounts that are trialing AI networks, but they have a very low number of GPUs involved in the pilots, Ullal said. “We definitely see that our large cloud customers are continuing to refresh on the cloud, but are pivoting very aggressively to AI,” Ullal said.
CIO Business Intelligence
JANUARY 5, 2025
1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance (an example of datamesh paradigm adoption).
Advertiser: Datadog
In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.
Speaker: Anthony Roach, Director of Product Management at Tableau Software, and Jeremiah Morrow, Partner Solution Marketing Director at Dremio
Through co-development and Co-Ownership, partners like Dremio ensure their unique capabilities are exposed and can be leveraged from within Tableau. Through our extensibility features, partners can build connectors that allow customers to bring the data they need into Tableau from the sources that are important to them.
Advertiser: Data Robot
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Developing a data-sharing culture. Deploying “data as code” throughout the enterprise. Integrating data from third-party sources. Combining data integration styles. Translating DevOps principles into your data engineering process. Using data models to create a single source of truth.
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