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Take Control of Your AI Future: Why You Should Own Your AI Agents

Artificial intelligence (AI) is no longer a futuristic concept—it’s here, and it’s transforming the way enterprises operate, innovate, and compete. From automating workflows to delivering data-driven insights, AI is reshaping industries and creating new opportunities. But as AI becomes more integrated into our lives and businesses, a critical question arises: Who owns and controls the AI agents that are increasingly making decisions on our behalf?

4 Ways Logi Symphony Leverages AI for Actionable Insights

In the rapidly evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis? According to insightsoftware and Hanover Research’s recent Embedded Analytics Report, developers see AI as the most important trend of the next five years.

Why You Need to Secure AI & ML Access that Supports Remote Workers

Even in light of recent return-to-work mandates, it’s clear that the way we work has changed. Remote and hybrid teams are now the norm, and while this shift has brought flexibility, it’s also introduced unique challenges for AI and ML teams. One of the most pressing issues is ensuring seamless access to the compute resources needed to run machine learning workloads.

Now THREE Things in Life Are Guaranteed

There is a well-worn adage attributed to famous early American statesman and inventor Benjamin Franklin, who purportedly said, only two things in life are guaranteed: death and taxes. So it’s not without some sense of irony – Tuesday having been “Tax Day” in the U.S. (April 15, the day annual income taxes are due) – that we can proudly proclaim there are now officially THREE things in life that are guaranteed! What’s the third one, you (and Mr. Franklin) might ask?

The Agentic Enterprise: How AI Agents Will Run the Future of Work

The workplace is on the brink of a transformation unlike anything we’ve seen before. With the rise of AI agents—autonomous software entities capable of executing tasks, making decisions, and even optimizing workflows—the way we define work itself is evolving. While automation and AI-assisted processes have been gradually reshaping industries, the concept of the agentic enterprise takes this a step further, shifting from AI as a tool to AI as an active participant in business operations.

7 Key Considerations For Enterprises When Building AI Agents

AI agents are all the rage these days. Poised as the next big thing after Gen AI…is there substance underneath all the hype? The answer is a resounding yes. For instance, the 2024 State of AI Agents report revealed that 51% of AI professionals are already using AI agents, while 78% of enterprises and mid-sized companies have active plans to put AI agents into production. However, doing this successfully requires paying attention to certain key factors.

EP 19 | Leading in the Age of AI with Dr. Maya Dillion

As AI becomes a regular topic in boardrooms, many executives face critical blind spots around strategy, governance, and implementation. Few are AI-native, and many struggle to connect high-level goals with practical, accountable systems. In this episode of The AI Forecast, host Paul Muller speaks with Dr. Maya Dillon, an astrophysicist turned AI thought leader and CEO of consultancy XSAIA. Maya emphasizes the need for human-centric leadership in AI and the importance of understanding the holistic impact of AI on businesses.

So You Want To Migrate to SAP S/4HANA. Here's How To Streamline the Transition

Managing operations means overseeing a variety of moving parts. For SAP users, that complexity is amplified. Gathering data, reconciling accounts, and chasing down discrepancies can feel like a never-ending puzzle. Then comes the looming task of migrating to S/4HANA, the next generation of SAP. By December of 2027, SAP intends to phase out SAP ECC in favor of S/4HANA. Because SAP S/4HANA operates in the cloud, it provides enhanced flexibility, cost savings, and scalability.

Unstructured Data Analytics For Enterprises

Get insights from your unstructured data in minutes without wrestling with pipelines or infrastructure. Using simple SQL, enterprises can translate multi-language text, understand and extract sentiment from reviews, classify key themes, and summarize millions of records faster than ever. With built-in governance, enterprise-grade security, and production scalability, you can trust the speed and reliability of your intelligence. Join Snowflake’s Arun Agarwal, Renee Huang, and Vino Duraisamy to see how Snowflake Cortex AI makes this easy.

Insights to action powered by analytics agents

Prior to coming to ThoughtSpot, I was at Salesforce where my team and I built Einstein Analytics. I fundamentally believe the role of Analytics and BI is not just to give you a chart that shows what happened—it also needs to show you why it happened, what could happen, and tell you what you can do about it. That's what being data-driven means.