Databricks  recently hosted this online tech talk on Delta Lake.

The General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) both aim to guarantee strong protection for individuals regarding their personal data and apply to businesses that collect, use, or share consumer data, whether the information was obtained online or offline. This remains one of the top priorities for the companies to be compliant and they are spending a lot of time and resources on being GDPR and CCPA compliant.

Your organization may manage hundreds of terabytes worth of personal information in your cloud. Bringing these datasets into GDPR and CCPA compliance is of paramount importance, but this can be a big challenge, especially for larger datasets stored in data lakes.

Generally speaking, the more data you have, the better your machine learning model is going to be.

However, stockpiling vast amounts of data also carries a certain privacy, security, and regulatory risks.

With new privacy-preserving techniques, however, data scientists can move forward with their AI projects without putting privacy at risk.

To get the low down on privacy-preserving machine learning (PPML), we talked to Intel’s Casimir Wierzynski, a senior director in the office of the CTO in the company’s AI Platforms Group. Wierzynski leads Intel’s research efforts to “identify, synthesize, and incubate” emerging technologies for AI.

In this episode of the Azure Government video series, Steve Michelotti talks with Chris Pendleton, Principal PM Manager on the Azure Maps team, about Azure Maps in Azure Government.

Learn what makes Azure Maps different from other mapping solutions available and how Azure Maps provides a truly unified experience for a mapping solution including route efficiency, traffic management, and geofencing.

For government customers, Azure Maps provides compliance with Azure Security, Azure Active Directory Tenancy, The General Data Protection Regulation (GDPR), accessibility, and globalization just to name a few.

You’ll also see several demos running in Azure Government (http://azuremapscodesamples.azurewebsites.us/) including heat maps and weather data, all of which show off the stunning visuals that are unmatched by any other mapping solution available today! 

Yesterday’s post about GDPR and Blockchains had me wondering about potential fixes for this issue.

This video on Channel9 provides an overview of some of the more popular privacy features employed on private consortiums to enable sharing data only with specific participants in a network.  

It turns out that there are a variety of ways and the architecture of these are discussed with a brief demo using the Quorum blockchain.

Sam Palmisano, chairman of The Center for for Global Enterprise, and David Kappos, a partner with Cravath, Swaine & Moore LLP, discuss the privacy concerns surrounding blockchain technology with Bloomberg’s Shery Ahn and Amanda Lang.

Adam from Guy in a Cube rounds up the latest happenings in the Power BI world, including GDPR.

 

Links mentioned in the video: