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How Do We Make It Easier To Trust?

In this contributed article, Sean Beard, Vice President at Pariveda Solutions, discusses how automating trust presents a new set of challenges to an organization due to the subject nature of trust. Businesses must develop a better understanding of bias in their data and how different business contexts are applied to that data. With ample misinformation surrounding us all of the time, using AI machine learning, and human oversight, organizations can gain a clearer understanding of what information they can trust and what they can’t.

Deepgram Pioneers Novel Training Approach Setting New Standard for AI Companies

Artificial intelligence has made astonishing technological advances in recent years and more companies are turning to AI to improve internal functions and unlock the potential of enterprise datasets. IDC has characterized AI as “inescapable” and estimates that by 2025, at least 90% of new enterprise apps will embed AI. But getting to the right models to effectively power AI is hard – and especially hard for speech. Today in order to address these needs, Deepgram has announced Deepgram AutoML, a new training capability that streamlines AI model development, reducing manual cycles for data scientists while giving them the best accuracy humanly possible.

Will Robot Lawyers Lie Like Humans?

In this contributed article, Pawel Stopczynski, Researcher and R&D Director at VAIOT, believes that armed with technology, lawyers are already more efficient than before. The trend toward digitizing law is poised to continue as robot lawyers become smarter and more capable. The question is, will robot lawyers lie like humans?

Research Highlights: Attention Condensers

A group of AI researchers from DarwinAI and out of the University of Waterloo, announced an important theoretical development in deep learning around “attention condensers.” The paper describing this important advancement is: “TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices,” by Alexander Wong, et al. Wong is DarwinAI’s CTO.

AI Teaching AI Via Online Contract Law Game Created Due to Covid-19 Lockdown

ContrAI is a modular, web-first product that uses AI to aid contract management and analysis. The contract processing required to train the ContrAI system was due to enter its second phase from May this year following the initial categorization process at the end of last year. However, the lock-down meant that it would no longer be possible to bring together groups of legal students to implement this in person. As a result, the online Clause Game was developed to enable the contracts to be marked up remotely, providing essential data to train the algorithm.

Book Review: Deep Reinforcement Learning Hands-On

RL is a hugely popular area of deep learning, and many data scientists are exploring this AI technology to broaden their skillet to include a number of important problem domains like chatbots, robotics, discrete optimization, web automation and much more. As a result of this wide-spread interest in RL, there are many available educational resources specifically tailored to this class of deep learning – boot camps, training certificates, educational specializations, etc. But if you’re a data scientist who has been programming in Python for a while, and has some experience with other forms of deep learning using a framework like TensorFlow, then maybe this new book, “Deep Reinforcement Learning Hands-On,” by Maxim Lapan, might be a great way to kick-start yourself into becoming productive with RL.

Interview: Andy Horng, Co-Founder and Head of AI, Cultivate

I recently caught up with Andy Horng, Co-Founder and Head of AI at Cultivate, to get a sense for the technology underlying the company’s AI-powered leadership development platform. NLP plays an important role, and as a result they’re using the RoBERTa language model for very good results.

Little Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means

In this contributed article, editorial consultant Jelani Harper takes a look at the chief value proposition of unsupervised learning—for machine learning models to explore and categorize data based on their findings as opposed to stratifications imposed by humans—and how it is immensely useful for everything from general data discovery to targeted use cases like precision medicine.

KDD 2020 Showcases Brightest Minds in Data Science and AI

The Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) will hold its flagship annual conference, KDD 2020, virtually, August 23-27. The KDD conference series, started in 1989, is the world’s oldest and largest data mining conference, and is the venue where concepts such as big data, data science, predictive analytics and crowdsourcing were first introduced.

“Above the Trend Line” – Your Industry Rumor Central for 8/21/2020

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.