Nine great industry news stories from this week you may have missed.
Do you care about privacy as much as your customers do?
Until recently, there has been little compelling reason for companies to embed privacy considerations deeply into their larger business strategies — but that's about to change. As end-users become more aware of the risks tied to their personal data, they're more likely to push for stricter security regulations. A recent article from the Harvard Business Review explains why the security landscape is expected to change rapidly and chaotically over the next several years and why now is the time to think long-term.
What to do at Legalweek 2020Via Above the Law
Are you heading to Legalweek 2020? If so, you won't want to miss this post by Above the Law. What used to simply be called Legaltech, the mega event has morphed into three events conferences in one week: Legaltech, LegalCIO and Legal Business Strategy. Legalweek brings together legal professionals, law firm and corporate leaders and technologists from around the world to explore the use of technology in the business of law. Learn what you can expect from the three-day event here.
Facial-recognition tech stokes privacy concerns
Imagine instead of showing your ID and boarding pass, you line up and have your picture taken to get onto your flight. This sci-fi-esque scenario is now a reality when flying with select Delta airline locations. After launching facial-recognition technology in Atlanta in 2018, Delta has now expanded biometric boarding to Minneapolis, Salt Lake City, New York, Detroit and Los Angelos. The airline says the technology can save an average of nine minutes when boarding a wide-body aircraft. While the new method isn't illegal, it is certainly controversial. Learn all the details here.
Why asking AI to explain itself can make things worse
The success of deep learning is due to tinkering: the best neural networks are tweaked and adapted to make better ones, and practical results have outpaced theoretical understanding. As a result, the details of how a trained model works are typically unknown. This week, an article from MIT Technology Review explained how "glassbox machine learning" could help us better understand the AIs we've come to depend on (and perhaps more importantly, not to over-trust them).
Active Learning: tales from the trenches
Active learning helps lawyers focus on the content that matters most in their cases. It’s a way for their team to not only combat burnout, but develop more effective strategies. The Relativity Fest keynote revealed that since launching active learning in December 2017, the Relativity community has made predictions on more than 750 million documents. Dig into the stories behind these numbers on Relativity's blog.
14 Data Security Risks You Should Address
No company wants to suffer a data breach, but as the headlines prove, it can and does happen to businesses on a regular basis. Data breaches not only bring a potential dollar loss to your business, they also damage its reputation by shaking your customers’ trust. Learn Forbes.com's top 14 data security risks your organization should address to stay in the clear.
Why it's time to adopt a risk-based approach to cybersecurity
The costs and consequences related to data breaches continues to rise. With cybercriminals representing a persistent risk to enterprise well being, it’s little wonder that CEOs, CFOs, CISOs and CIOs now view cybersecurity as a top priority. Learn why it's time to approach the risk head on, along with best practices for minimizing cyber risk on Help Net Security.
Real-time orca tracking in Vancouver Bay
Google AI shared that it’s created a model for detecting an endangered species of orca whales in the Salish Sea, a waterway between the United States and Canada. It's believed less than 100 of these whales are still alive. Using underwater microphones situated at dozens of points are used to alert officials when a killer whale is detected, this new AI will help researchers identify and track the whales. Learn all the details on Venture Beat.
Why a new strategy is necessary to untap the potential of your data
The 2020s brings two new challenges to business. First, as modern analytics deployments grow, organizations are faced with an ongoing challenge to curate, manage and govern larger volumes of data. Second, since data is no longer solely under the purview and restricted use of the small, manageable teams of trained IT professionals, we are now operating in the age of pervasive and unbound data management. Learn why mandatory management, leaving legacy processes behind and streamlining are key in your data strategy's success on Information Age.