Eliminating lawsuits, fraud, and failure: Embracing AI risk management
This is the time-tested axiom of risk management that holds true across business verticals, from insurance and banking to healthcare and manufacturing. If you can identify risk by predicting failure, you can, to a large extent, prevent undesirable outcomes such as litigation, fraud, and lost revenue. (more)
3 Common Data Lake Misconceptions
The enterprise data lake is now well past its infancy: more than a quarter of all organizations have a data lake in production. However, with maturity comes new findings, criticisms, and data lake misconceptions — with headlines like “Data lakes will need to demonstrate business value or die”. (more)
GDPR compliance: Don’t forget about Personal and PII data in your non-production environments
With GDPR now in full effect, organizations and governments still have a lot of work and learning to do. In particular, many businesses are hard at work checking off all of the boxes for GDPR compliance with the complex, multi-faceted law. (more)
Hadoop trends in the big data industry
In 2016, I had the pleasure of joining Jill Dyche and several other big data experts at the Pacific Northwest BI and Analytics Summit. During one of our chats, Jill and I discussed the latest big data industry buzz and where Hadoop is headed: I will be joining the event again this year — if […]
Accelerating GDPR compliance with data removal on a common data platform
With GDPR now in full effect, organizations are scrambling to become compliant to avoid hefty fines, and others are announcing services to help companies get their affairs in order. At Collaborate 18 in April, we were present to witness Oracle announce the release of their free GDPR Utility called the “Oracle E-Business Suite Person Data Removal Tool”. (more)
5 Actions you must take to become GDPR compliant: Webinar
Companies moving to a data-driven enterprise must address the challenges of maintaining governance and regulatory compliance — especially GDPR — along with access to data and storage costs, while at the same time trying to satisfy the demands of the business. (more)