How does OpenAI's groundbreaking DALL-E 2 model actually work? Check out this detailed guide to learn the ins and outs of DALL-E 2.

If you’re a Product Manager or business leader working with machine learning (ML) for the first time, you may have searched online for guidance on how to think about and work with this capability. Most of that guidance explains the technical aspects of ML; it classifies models by type and describes the processes to create them.

Organizations need to transition from opportunistic and tactical AI decision-making to a more strategic orientation.

In both the public and private sectors, these are the barriers to meaningful adoption of artificial intelligence.

Why offline experimentation is a key part of the process of iterative machine learning product development

The success of your artificial intelligence projects may depend upon data science and machine learning but also the right business focus, prioritization, and product roadmap design.

The whole industry is getting used to Machine Learning projects → some managers are not going to understand that → it is hard to train the same model twice.

Being an AI Product Manager I can definitely say it feels like having a feather on the cap. I receive a lot of DM’s from individuals who wish to transition their career as AI PM. As obvious it may sound and technically as well it includes other distinct technology like Machine Learning, NLP, Cognitive Computing name a few.

With some experience in the field with intelligent products / features delivered, these are the 5 things I would want you to consider as a decision maker before building AI products.

Daniel Karuppiah spent more than two decades at Microsoft in Product Management, across the products from Visual Studio, SQL Server, Silverlight, Windows Server, System Center, Silverlight to Microsoft Azure. Today at The Product School podcast, he will talk about how Artificial Intelligence is changing Product Management.

Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years.

Here are 5 steps to landing your first job as an AI product manager in only 5 months:

DiscoverThe Product PodcastProduct Management and AI by Director of AI at Walmart