Michele Goetz

Data ingestion into security information and event management (SIEM) have been too expensive for too long. Find out what's driving up the cost and how to manage it better in this post.

Adopting edge intelligence requires careful architectural decisions that balance latency, data distribution, autonomy needs, security needs, and costs. Learn five essential trade-offs to consider in finding the perfect balance.

Following comments from the DOJ and SEC, tech leaders are more concerned about keeping up with new AI regulations and guidelines. Learn four key steps your enterprise can take to prepare.

With the rapid advancement of genAI technology available to businesses even without highly specialized skills, internal data quality is now the primary limiting factor standing in the way of genAI enablement.

In our new report, Navigate The Patchwork Of US AI Regulations, we answer the top questions to navigating US AI regulatory chaos. Here’s what every organization should know as they continue to develop and deploy AI in safe and legal ways.

At AWS re:Invent 2023 the AI announcements were underwhelming despite high expectations. Find out more in this extended review of the event.

The new executive order calls for a “societywide effort” from government, the private sector, academia, and civil society to address eight AI priorities.

Wird generative KI dem Hype 2024 gerecht werden? Die kurze Antwort lautet: Ja. Erfahren Sie mehr über unsere Prognosen 2024 für künstliche Intelligenz. 

L’IA générative sera-t-elle à la hauteur de l’engouement qu’elle suscite en 2024 ? La réponse courte est que oui. Pour en savoir plus, consultez nos prévisions 2024 sur l’intelligence artificielle.

Will generative AI live up to the hype in 2024? The short answer is yes. Learn more in our 2024 predictions for artificial intelligence.

Learn the five architecture patterns that shape data use to achieve business outcomes in this post. 

The US Federal Trade Commission is officially investigating OpenAI. Learn how you can mitigate your risk exposure by addressing the eight areas of interest outlined in the FTC request.

As regulators, courts, and even the White House scrutinize generative AI ethics, learn five things your AI governance programs should be addressing today.

Learn why recent news about Google virtual assistant signals a tipping point for large language model users.

Forrester provides guidance on how to succeed with AI governance with the NIST’s AI RMF 1.0.

In the face of economic uncertainty, are AI models too costly? Increased ML deployment means higher cloud costs. But price alone or as a primary metric should not be a key determinant of the machine-learning lifecycle. Put a strategy and audit program in place to continuously optimize AI outcomes across outcomes and cost.

Clarity, challenges, and opportunities are all part of our 2023 predictions for data mesh.

Avoiding the technical aspects of data perpetuates the ivory tower of data strategy and committees without generating business results. Learn how a data mesh can help.

Are your data and AI foundations ready to make the most of the connected intelligence future? Find out in this sneak peek of our upcoming Data Strategy & Insights event.