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Understanding Forecasting Methods in an AI World

In this special guest feature, Geoff Birnes, SVP of Customer Engagement at Atrium, discusses how the CRM space is being completely altered by the introduction of machine learning, data analytics and advanced AI. Traditionally, the world of CRM has been focused on data storage and minimal engagement, but now there is an opportunity to create full-scale systems of intelligence.

The Pros and Cons of Google’s New AI Transparency Tools

In this special guest feature, Jay Budzik, CTO at Zest AI, discusses the set of developer tools that Google launched that allow data scientists to create explainable ML models, and also the reality of these new tools and how they are likely to impact the financial services market. Google is taking important first steps to bring more transparency to the world of ML. That’s encouraging because the sooner our industry cracks open those scary black boxes, the better—for lenders, consumers, and the tech community.

AI Usage in Banking is Forcing the Conversation around the Ethical Use of Data

In this contributed article, Lisa Shields, Founder and Chief Executive Officer at FISPAN, dives into the ethical considerations banks must take into account when developing AI, and how they can do so responsibly. With the right business practices in place, banks can reap the benefits of AI while keeping customers in control of their data and protected from its misuse.

9 Practical Actions to Improve Machine Learning for Fraud Prevention

In this special guest feature, Arjun Kakkar, Vice President Strategy and Operations at Ekata, provides 9 practical and actionable principles for product managers and business leaders working to use machine learning for fraud detection. The unique characteristics of online fraud detection, including the availability of large and diverse data sets with known outcomes, repeating patterns, and a need for quick decisions, make it a good candidate for machine learning.

Symphony AyasdiAI Launches Next-Generation AI Solution for Anti-Money Laundering

Symphony AyasdiAI announced the launch of Ayasdi AML, an advanced anti-money laundering (AML) solution that significantly boosts efforts to combat fraudulent money laundering schemes. Ayasdi AML uses state-of-the-art unsupervised machine learning technology to increase detection accuracy and reduce investigative volumes by more than 20 percent.

Making Use of Under-Utilized Big Data in the Insurance Industry

In this special guest feature, Adam Bratt, CTO and Co-Founder of Indio Technologies, points out that the topic of big data in insurance has been an emerging hot topic over the last year. Insurance is directly related to most people as it deals directly with personal safety of health, life, and assets and for companies, it’s all of the company’s assets and how the business is run, the likelihood of success, etc. The implementation of big data analytics has been an important one. In the InsurTech industry, Big data analytics can be incredibly helpful for companies, however, privacy is a big concern for consumers.

ThetaRay 4.0 with IntuitiveAI Gives Banks a Powerful New Weapon Against Financial Cybercrime

ThetaRay, a leading provider of AI-based Big Data analytics, announced Version 4.0 of the company’s namesake advanced analytics platform. The update includes major capability upgrades to help global banks detect and prevent financial cybercrime. ThetaRay’s IntuitiveAI solutions replicate the powerful decision-making capabilities of human intuition to detect “unknown unknowns” that cannot be identified by first-generation AI or legacy products.

Why Natural Language Processing is the Next Big Thing for Insurers

In this special guest feature, Yaffa Cohen-Ifrah, CMO and Head of Corporate Communications at Sapiens Insurance, explores the many benefits of NLP for the insurance industry, including its widespread use as a cost-effective, engaging alternative to repetitive tasks that will streamline processes leading to greater customer satisfaction.

How AI Technologies Can Put Purpose and Profit into ESG Investments

In this contributed article, Ruggero Gramatica, Founder and CEO of Yewno, discusses how institutional investors can increase financial returns and make better investment decisions in the field of environment, social, and governance (ESG) investing.

How Alternative Data is Paving the Way for the Future of Investment Management

Many hedge fund managers to mutual funds — and even private equity managers — are turning to alternative data to pave the way for the future of investment management. SparkCognition contends that alternative data has the power to improve valuation of securities and ramp up clarity of the investment process. Download the new report, “Alternative Data for Investment Management,” courtesy of SparkCognition, to learn more about how alt data and machine learning is changing the future of investment management.