Sudha Maheshwari

There is no easy path to AI success, and tech and business leaders need to prepare for the grind. This year’s AI predictions highlight the importance of marrying data and AI strategies, bringing business and technical expertise together, and leveraging partners for excellence.

Le succès de l'IA n'est pas un long fleuve tranquille, et les chefs d'entreprise et de la technologie doivent se préparer à affronter quelques difficultés. Les prévisions de cette année en matière d'IA soulignent l'importance de marier les stratégies de données et d'IA, de réunir l'expertise commerciale et technique et de tirer parti de partenaires pour atteindre l'excellence.

In today's world, the availability of more data than ever plays a crucial role to quench our thirst for a more sustainable future and makes location intelligence even more important. Learn more in this review of the Esri User Conference in San Diego.

AI is having — and will continue to have — a profound impact on how data scientists, software engineers, and other job functions perform their roles. Get tips on how to define, build, and implement your enterprise AI strategy with the help of Forrester's AI Advantage client webinar series.

AI was center stage at Google I/O 2023 and much of it was generative AI (GenAI). Get a detailed analysis of the event including why enterprises need to focus on the launch of PaLM 2 and Vertex AI.