Weekly DaaS Roundup for October 31

DaaS Never Sleeps

NEWS, READS AND MORE

The McKinsey team outlines what the next 5 years in data could look like. The biggest challenges will be managing unstructured data, developing new leadership and talent strategies, and addressing emerging risks associated with AI technologies.

Now that there is a set of rules for what constitutes open source in AI, expect to hear the term “open-washing” to come up more often as the likes of Meta push back. Revealing all the training data sources most likely opens up a pandora’s box of questionable sourcing practices.

Why Silicon Valley is thinking about financial data opportunities all wrong. “The incumbents' dilemma in the world of financial data isn't disruption - it's growth. In the age of AI, the value that data providers offer in finding, cleaning, organizing and distributing quality information goes up, not down. It becomes table stakes. A utility.”

Data collaboration platforms offer companies a treasure trove of high-quality, bias-free data in a privacy-compliant environment. The path to complete insight with complete privacy.

We asked our community how they are thinking about AI and its implication on their businesses. A healthy mix of optimism and concern underlies the uncertainty of it all.

🎧THE LATEST WOD PODCAST 🎧

In a fun departure from regularly scheduled programing, Auren and Sam discuss the particularities of raising kids after an exit and how to “keep it real”.

👀We’ve had over 2 Million views on YouTube! 👀

M&A AND FUNDING

ANNOUNCEMENT

Our World of DaaS Exec Community is live and accepting applications. An exec only slack channel, curated member events, a member directory. This place has it all!

RANDOM ART(TIFICIAL HALLUCINATION) OF THE WEEK

voting on Halloween

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