Splunk's 'The New Rules of Data Management: Creating Value in the AI Era' report captures trending shifts in data management and examines how organizations are structuring — and should be potentially rethinking — their data strategies.
Our Splunk security experts share their favorite reads of the month so you can follow the most interesting, news-worthy, and innovative stories coming from the wide world of cybersecurity.
Large language models have changed the world. What about small language models? Learn what SLMs are, how they differ from LLMs, and why SLMs are the future.
Telemetry is powerful data that can tell you all sorts of important information. Know what you can do with this useful data — get the full telemetry 101 here.
Continuous data enables higher accuracy from predictions, deeper insights, and more informed decisions. Learn how to maximize value from continuous data.
The Dunning-Kruger Effect is a natural bias where a person with minimal knowledge or skill may overvalue their capabilities. Learn all about this effect here.
Explore 11 common data types in this comprehensive guide, covering integers, strings, booleans, and more. Learn their purpose and applications for data visualization.
Numbers can guide decision-making, as long as those numbers help deliver value. And that’s precisely what Goodhart’s Law is all about. Get the full story here.
Risk management applies to AI, too! Get the full story on AI Risk Management, including the risks to know, a risk approach, and an in-depth look at NIST’s AI RMF.