TAG: Machine Learning: Lopsider content relating to Machine Learning. Subscribe
Source NYU Tandon School of Engineering|2017-08-29T11:40:34-07:00Aug 22nd, 2017|Categories: Post|Tags: AI, Data, Data Analytics, Machine Learning|
A new paper explores BadNets, backdoored neural networks, to show that outsourced training can introduce new security risks. Beyond the potential for new contractual reps, warranties, and indemnification provisions, the research highlights a few things for legal professionals and their clients.
Source MIT Sloan Management Review|2017-07-30T12:23:31-07:00Jul 24th, 2017|Categories: Post|Tags: AI, Data, Digitization, Machine Learning, Robots, Technology|
View this video to learn how AI is being used and how you might approach your AI adoption strategy.
Source O'Reilly|2017-07-06T13:50:41-07:00Jun 28th, 2017|Categories: Post|Tags: AI, Data, Data Analytics, Machine Learning|
AI will help us make better decisions, augmenting our current capabilities. We need to understand reason, learn and interact with data.
Source LegalTech News|2017-06-26T21:32:24-07:00Jun 9th, 2017|Categories: Post|Tags: Data, Data Analytics, Machine Learning, Management, Reporting, Technology|
With each passing day, we are increasingly living in an algorithmic universe, due to the easy accumulation of big data. How can management provide some kind of check on the sometimes naïve, sometimes sophisticated corporate use of algorithms?
Source Corporate Counsel|2017-06-26T18:46:46-07:00Jun 7th, 2017|Categories: Post|Tags: AI, Contract Analytics, Contracts, Data, LPOs, Machine Learning|
When the legal department at Baxter needed to quickly review a large batch of contracts, it turned to AI. But the technology was far from ready out of the box. Helpful insights for those considering AI: focus on the people side.
Source efinancialcareers|2017-06-27T18:12:48-07:00May 30th, 2017|Categories: Post|Tags: AI, Data Analytics, Innovation, Law Firms, Machine Learning, Strategy, Talent, Transformation|
J.P. Morgan’s quantitative investing and derivatives strategy team issued the most comprehensive report ever on big data and machine learning in financial services. Titled "Big Data and AI Strategies" and [...]
Source Corporate Counsel|2017-06-26T18:50:42-07:00Apr 18th, 2017|Categories: Post|Tags: AI, Machine Learning|
While machine learning cannot currently match human professionals' ability for higher-level interpretation, it is still capable of automating a wide variety of decisions. From classifying invoices and unstructured data to predicting future case outcomes, these decisions are becoming more vital in the legal space. These automated decisions are also raising ethical questions of how much the legal industry should rely on them.
Source LegalTech News|2017-06-26T18:51:04-07:00Apr 11th, 2017|Categories: Post|Tags: AI, Data, Legal Spend, Machine Learning, Outside Counsel|
Ignoring the headline, the article provides some focus on machine learning to make better sense of legal spend data. Machine-learning powered data classification is providing better insight into internal and operational data, but it has yet to spread to all areas of legal work.
Source LegalTech News|2017-06-26T22:46:44-07:00Mar 23rd, 2017|Categories: Post|Tags: AI, Legal Research, Machine Learning|
Deployed last year for legal professionals as the engine behind legal research platform ROSS, Watson has recently made further inroads into the legal space with the December 2016 launch of Watson Discovery Service. Watson Discovery Service enables developers to implement a "machine learning model" in their search tools, which allows the tools to understand how certain language terms are related on a deeper level. The service allows developers to create search and e-discovery tools using Watson's technology—which can comprehend language and data on an almost human level—to find relationships in structured data and unstructured data, and categorize and index such data into a searchable database.
Source Peter Krakaur|2018-02-03T10:58:58-08:00Mar 22nd, 2017|Categories: Article|Tags: AI, Career Development, Change, Data, Digitization, Disruption, EQ, Innovation, Leadership, Machine Learning, Management, Personality, Rightsourcing, Robots, Strategy, Talent, Technology, Training|
This article discusses potential impacts of Artificial Intelligence (AI) on the legal profession. Specifically, I discuss (i) WHY you should care about AI, (ii) WHAT AI means, (iii) WHERE [...]
