Using artificial intelligence and machine learning helps firms more efficiently supervise and mitigate risk at scale, and will now enable them to analyze …

Uday Kamath has more than 20 years of experience architecting and building analytics-based commercial solutions. He currently works as the Chief Analytics Officer at Digital Reasoning, one of the leading companies in AI for NLP and Speech Recognition, heading the Applied Machine Learning research group. Most recently, Uday served as the Chief Data Scientist at BAE Systems Applied Intelligence, building machine learning products and solutions for the financial industry, focused on fraud, compliance, and cybersecurity. Uday has previously authored many books on machine learning such as Machine Learning: End-to-End guide for Java developers: Data Analysis, Machine Learning, and Neural Networks simplified and Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures. Uday has published many academic papers in different machine learning journals and conferences.

Digital Reasoning, today announced a strategic investment from SC Ventures, the innovation, ventures and fintech investments unit of Standard Chartered Bank, bringing its Series D-1 funding round total to $40 million. In addition to this investment, Digital Reasoning will partner with Standard Chartered Bank to expand its financial services product offerings in Communications Surveillance across Asia Pacific, the Middle East, and other international markets. "Digital Reasoning is the leader in communications analytics, identifying and finding key risks and insights from human language and behavior. Doing this requires an increased understanding of diverse languages and contexts across numerous cultures," "Standard Chartered is a leading global bank with a very diverse footprint. Through the partnership, we believe we can accelerate our solutions' applicability across Asia, the Middle East, and Africa. Together we will further democratize using AI to understand the languages in markets where these new solutions can be used for good."

Few technologies this century have captured the imagination of so many technologists within the capital markets as artificial intelligence (AI). Thanks to a fertile combination of data, storage, and computing power, AI has emerged from its long winter and spread into nearly all areas of the capital markets, across the front, middle and back offices. While many vendors can claim AI capability--some of them dubiously--few have the bona fides of firms like Digital Reasoning. The Franklin, Tenn.-headquartered firm had its start in 2000, quickly winning defense contracts with the US Army, and in 2010, funding from the Central Intelligence Agency. It wasn't until around 2012, however, that Digital Reasoning entered into finance with a bang, signing up names such as Point72 and UBS.

Silicon Valley giants such as Google and Facebook have been trying to harness artificial intelligence by training brain-inspired neural networks to better represent the real world. Digital Reasoning, a cognitive computing company based in Franklin, Tenn., recently announced that it has trained a neural network consisting of 160 billion parameters--more than 10 times larger than previous neural networks. The Digital Reasoning neural network easily surpassed previous records held by Google's 11.2-billion parameter system and Lawrence Livermore National Laboratory's 15-billion parameter system. But it also showed improved accuracy over previous neural networks in tackling an "industry-standard dataset" consisting of 20,000 word analogies. Digital Reasoning's model achieved an accuracy of almost 86 percent; significantly higher than Google's previous record of just over 76 percent and Stanford University's 75 percent. "We are extremely proud of the results we have achieved, and the contribution we are making daily to the field of deep learning," said Matthew Russell, chief technology officer for Digital Reasoning, in a press release.

When evaluating artificial intelligence (AI) solutions for a health system, cybersecurity may not be one of the first considerations. In an age of increasing security threats, data management by outside parties opens the door to additional risk. How can health system executives ensure that their AI and machine learning endeavors protect patient data, meet HIPAA compliance, and minimize security threats? HealthLeaders spoke to representatives at Clearwater and Digital Reasoning about this issue. The two Nashville-based companies announced a three-year cyber risk partnership today, which fortifies Digital Reasoning's artificial intelligence- (AI) powered solutions with Clearwater's cybersecurity and HIPAA compliance program.

This past March, a group of venture capital firms and banking organizations led by BNP Paribas invested $30 million into Digital Reasoning, a privately held company based in Nashville that is emerging as one of the leaders in using artificial intelligence to analyze human communications. The funding round, which also included Barclays, Goldman Sachs and Nasdaq, is the latest example of the growing collaboration between AI and Wall Street. Banks, trading firms and exchanges are exploring ways to use this technology to enhance the ways they process data and make decisions. And they are partnering with specialist firms that can apply the techniques of AI to the particular characteristics of financial markets. In the case of Digital Reasoning, the application is in the area of surveillance.

The best artificial intelligence (AI) technology category has been around for two years, and in both instances it is Digital Reasoning that has taken home the top honor. Digital Reasoning's Synthesys platform incorporates AI--from natural-language processing to deep-learning algorithms--to derive actionable information for risk and compliance, to monitor for fraud, and to provide customer insights. The platform "learns" human communication, in textual form, audio and through images. It sifts through vast quantities of unstructured data--across multiple languages and domains--to derive intent and human behavior, says Tim Estes, president and founder of Digital Reasoning. "It completes the picture of looking at textual language, audio language, and starting to have a full communications capability to satisfy both risk and revenue-oriented use-cases," he says.

In what can be described as a kind of arms race, tech companies have been amassing large volumes of user data to hone the artificial intelligence algorithms that power their applications and platforms. Thus far, they've mostly been able to evade accountability when their practices have pushed them into legally and ethically gray areas. But that might change on May 25, when the European Union's General Data Protection Rules (GDPR) come into effect. The GDPR will impose unprecedented restrictions on the collection and handling of user data in the EU region and slap heavy penalties on companies that fail to comply. That might sound like bad news for companies that use AI algorithms, which have benefitted from lax data-collection regulations (and lengthy, boring, and ambiguous terms of service documents).

Artificial intelligence startup Digital Reasoning has raised $30 million from a group of major banks, in a round led by French bank BNP Paribas. The other investors include U.K.'s Barclays, Square Capital, Goldman Sachs, Nasdaq, Lemhi Ventures, HCA, and the Partnership Fund for New York City. The U.S. based Digital Reasoning was launched in 2012. The company identifies unstructured communications data to add context to human conversations, as well as flags potential fraudulent activity hidden in those communications. Banks and FIs use its services for internal use to scan employee e-mails for fraudulent patterns or red flags.