Deep dives with real leaders implementing change
There is a lot of hype in AI. The technology is real but it is over hyped by the scale of investment and the pressure for growth. That makes it doubly important to get honest insights about what’s working and what’s not working. We cover the reality of AI adoption inside companies. Not only startups, but non-AI companies who are cautious about adoption. Tune in for the mainstream customer perspective critical to your success with AI.
We will cover this topic through a series of in-depth interviews with enterprise leaders, diving into the messy reality of adoption and value generation. AI is a statistically variable technology that is quite new, not fully reliable or secure and largely unintegrated into enterprise systems. We also cover the human aspect of the organizational and up-skilling challenge AI poses. In addition, we feature short pieces on the technology itself and promising trends we see, as we discuss AI with the most active enterprise change makers.
1. Who is this series for?
This series is for anyone interested in how to adopt the latest AI technology to extract business value in the work setting. That means if you are a business leader who is tasked with using AI to move your company or division forward, there will be useful reality checks and experienced best practices here for you. If you are a founder of an AI company targeting enterprises, you will find real requirements and stories of how to help your customers succeed.
2. What can you expect here?
Succinct writing, and practical tools and suggestions. Often deeply technical, but with a business perspective and accessible to AI practitioners in a business setting. There will also be interactive content with questions and polls because this space is fluid.
Expect an in-depth blog post every week and a podcast every month with an interesting enterprise leader in the trenches of AI adoption.
3. Why the name Enterprise Aligned?
Alignment in AI model development is the work done to make systems more reliable, secure and coherent with corporate and human values. Adopting AI successfully to achieve business outcomes requires stakeholder and employee alignment within an enterprise. This work is intellectually interesting and essential, hence the name!
