Data Processing Data Quality Data-driven Uncertainty 
Timo Elliott
JANUARY 4, 2021
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. What typically goes wrong?
O'Reilly on Data
MARCH 31, 2020
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. AI products are automated systems that collect and learn from data to make user-facing decisions. Machine learning adds uncertainty.
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Cloudera
JULY 15, 2021
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.
CIO Business Intelligence
JANUARY 4, 2023
Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]
datapine
MAY 31, 2022
It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.
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