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But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself.
I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. The key takeaways.
Instead of installing software on your own servers, SaaS companies enable you to rent software that’s hosted, this is typically the case for a monthly or yearly subscription fee. This has increased the difficulty for IT to provide the governance, compliance, risks, and dataquality management required.
We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. In this session we explored what firms are doing to approach the uncertainty with more predictability. In this session we explored what firms are doing to approach the uncertainty with more predictability.
Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).
They host monthly meet-ups, which have included hands-on workshops, guest speakers, and career panels. Data Visualization Society. Amanda went through some of the top considerations, from dataquality, to data collection, to remembering the people behind the data, to color choices. DataViz DC.
Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. But for more complicated metrics like xRR, our preference is to bootstrap when measuring uncertainty.
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