Are machines better than humans? An (almost-real) case study.
Machine learning forcompliance and legal eDiscovery document review should accelerate, given the growth of machine learning in all contexts.Explore results of our first-hand experience using our machine learning features using the infamous Enron dataset.3.5KViews9likes0CommentsPreserve Patient Records with Automated Regulatory Compliance
As healthcare is rapidly changing, we KNOW that PHI can be found throughout the modern healthcare organization. HIPAA clearly states that PHI must be protected regardless of the media or format. How do we as providers meet this regulatory requirement with all these new channels such as email, texting, collaboration tools and Social Media? How can we protect our information while constantly being asked to share it?Data management in the cloud gives government an edge
We’ve had a change in leadership in Washington D.C. but the challenges for data management are more prescient than ever. Data is growing at an exponential rate not just in the private sector but also within the government.2.7KViews2likes0Comments5 Things to Know about Veritas at #HIMSS17
How can organizations reduce patient information risk with healthcare data management? As you gear up for HIMSS 2017, here are 5 things to know about Veritas at #HIMSS17. What are you looking forward to most at this year's conference? Read the blog and share your thoughts.Beyond Microsoft 365 with Veritas eDiscovery
In this seventh and final blog in our eDiscovery series we focus on some of the gaps in Microsoft 365’s eDiscovery offering, and how Veritas eDiscovery offerings can complement any Microsoft 365 environment with a true end-to-end solution.2.1KViews1like0Comments