2018 Data Analytics Data-driven Uncertainty 
Cloudera
SEPTEMBER 29, 2021
In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .
Andrew White
APRIL 22, 2020
In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. New processes focused on data visibility and business resiliency will emerge.
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CIO Business Intelligence
JULY 17, 2023
To add perspective, since I joined Havmor, the company has grown significantly, but not the workforce, having reduced by 30% compare to our numbers in 2018, thanks to digital innovation and transformation. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business?
BizAcuity
MARCH 28, 2022
In this medium post , Dan Schoenbaum had proposed a simple player retention framework covering 3 steps – unifying data across acquisition and retention, behavioral analysis for user loyalty, and social features to boost network effect. Unified Data for a single view of player/users. Framework – The Deming Cycle PDCA.
O'Reilly on Data
SEPTEMBER 11, 2019
Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “AI,” meanwhile, is No.
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