Causeit, Inc.

Really, search? #2024 … cc

👏 EXPERIENCE 👏 IS 👏 ONLY 👏 ONE 👏 KIND 👏 OF 👏 DATA. In the AI era, testing the assumptions baked into our decision-making is more important than ever. As we saw during the pandemic, the experiences executives drew upon for decision-making weren't always relevant to the world of remote work and lockdowns.

In the era of AI, we know that we can't just make decisions based on pre-AI mindsets. We wrote this guide to making decisions with all types of data—not just our hunches, intuition, and stories from the pre-AI era—to guide leaders moving their organizations towards more rigorous decision-making.

How are you bringing new mindsets and practices to decision-making? What's working—and what's not?

https://www.digitalfluency.guide/making-decisions-with-data/introduction-to-making-decisions-with-data

Introduction to Making Decisions with Data | Making Decisions with Data Guidebook In recent years, many organizations have loudly embraced 'data-driven decision-making.' Using data to make decisions isn't new, but some of the digital tools available now make it easier than ever to collect and analyze data points from across a business in one place.

Yeah, promises a lot. For GenAI to fly in the enterprise setting, generative AI programs will have to show results (even in their early days) to justify ongoing investment. These programs will need to do more than a 'faster, better or cheaper' version of our existing ways of working. True generative AI program scorecards will go beyond cost savings and revenue to also include innovation as well as human impacts (good and bad).

https://www.linkedin.com/pulse/generative-ai-how-do-we-measure-success-mj-petroni/?trackingId=26T7lWWfSFCA%2FTRyAy%2Flag%3D%3D

www.linkedin.com