Clearly, we need to do something about how we talk about open source and openness in general. It's been clear since at least 2006 when I rightly got smacked down for calling out Google and Yahoo! for holding back on open source. As Tim O'Reilly wrote at the time, in a cloud era of open source, "one of the motivations to share--the necessity of giving a copy of the source in order to let someone run your program--is truly gone." In fact, he went on, "Not only is it no longer required, in the case of the largest applications, it's no longer possible." That impossibility of sharing has roiled the definition of open source during the past decade, and it's now affecting the way we think about artificial intelligence (AI), as Mike Loukides recently noted.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Despite the need to maintain the integrity and security of data in enterprise artificial intelligence (AI) systems, an alarming number of organizations lack proper AI governance policies and tools to protect themselves from potential legal issues, O'Reilly Media researchers report. The Boston-based publisher and researcher today announced the results of its annual "AI Adoption in the Enterprise" survey. The benchmark report explores trends in how AI is being implemented, including the techniques, tools and practices organizations are using, in order to better understand the outcomes of enterprise adoption over the past year. Among respondents with AI products in production, the number of those whose organizations had a governance plan in place to oversee how projects are created, measured and observed was roughly the same as those that didn't (49% yes, 51% no).