I am so excited to join the Bloomberg Center for Government Excellence as its next Executive Director. GovEx's mission has never been more urgent and its opportunity for impact so great. Let's get to work!
Our team is thrilled to welcome @ojwise as GovEx's Executive Director.
A leader in shaping and deploying data and AI strategies, Oliver will further our work to help mayors and cities build the next generation of data and AI-driven solutions that improve residents’ lives.
I had the privilege of catching up with @ojwise on today's episode of the #DataSmartCityPod. https://t.co/IHfKU9wc4C I highly recommend this episode to our state and city leaders, or anyone interested in where the movement is going, as #AI and #GenAI enter the #opendata convo.
Come work in the coolest food city in the world! I'm #hiring a food & dining reporter for @NOLAnews. You'll work with @IanMcNultyNOLA & Chelsea Shannon and cover all things restaurants, bars, cuisine & culture in the New Orleans. This is a NOLA based gig. https://t.co/Q8OSulLERe
Join GovEx and Senator @MarkWarner, sponsor of the nation’s first #OpenData law, at @JHUBloombergCtr tomorrow as we celebrate the DATA Act’s 10th anniversary and discuss the future of open data in the age of AI. Free event, registration required: https://t.co/sy2xMybDIH
If you are innovating with GenAI to expand access to public data, we want to know about it and hear your input about what possibilities could be unblocked if public data was published in more AI-ready ways. https://t.co/qUsP3U2o3S (9/9)
I’m excited that the U.S. Department of Commerce has released a Request for Information (that’s government-speak for a Facebook “poke”) to industry, academia, the civil sector, and other government data publishers (7/x)
There is much industry needs to do (and is doing) to make data analysis with gen AI more reliable, but publishers of public data have to do more to do too. (6/x)
so that the meaning of the data is not lost in translation and that users can reliably obtain meaningful, accurate, and fit-to-purpose results from their queries. (5/x)
It is our hypothesis that the machine-readability paradigm of the open data era is insufficient to meet the moment. If users will be using AI as intermediaries to analyze public data, we must make data not only machine-readable but machine-understandable (4/x),
With the potential of countless users now analyzing data leveraging NLP and generative AI, we must rethink how we publish government data to meet the promise of these technologies to democratize access to data. (3/X)
When APIs hit the scene in the early 2000s, innovators in government and civil society met the moment and transitioned from publishing data from merely human-readable tables to machine-readable formats, vastly scaling the ability of users to derive insights from data (1/x)
leveraging newly available BI tools, statistical software, and their own contextual understanding of the data. Now, with the eruption of AI, I believe we’re at a similar, if not even more profound juncture. (2/X)
Am in @CommerceGov’s public meeting on “Request for Information: AI-Ready Open Government Data Assets” & I don’t think I have ever been more impressed with a federal agency. They are moving SO proactively #opendata#opengov
.@ojwise and his team are asking very smart questions about evolution of open data towards AI-readiness. @CommerceGov are asking the public
for input. - https://t.co/M4YNcERAc6