Sign up for our newsletter and get the latest big data news and analysis.

Be More Da Vinci: Why Data Scientists Should Be Working with Designers, Futurists and Business Executives

In this special guest feature, Michael Kanazawa, EY Global Innovation Realized Leader and EY Americas Advisory Growth Strategy Leader, discusses why data scientists and engineers should be working with designers, futurists, and business executives as the way to lead the future. Failing to do so risks being consigned to the past.

Artificial Intelligence Startups Raised $61.6bn in Total Funding, a 35% Jump in a Year

As the algorithms and data-driven methods continue to develop, venture capitalists are becoming more interested to invest in artificial intelligence startups providing the most beneficial solutions. According to data gathered by BuyShares.co.nz, the total amount of funds AI startups raised over time reached $61.6bn in the second quarter of 2020, a 35% increase in a year.

The Evolution of Digital Banking Post COVID-19

In this contributed article, Karen Krivaa, VP of Marketing at GigaSpaces Technologies, discusses how Open Banking will become more of a necessity now and the need for efficient data architecture to help drive the adoption. In the current COVID-19 climate, this notion brings the Digital Banking (with need for Open Banking) idea back into the limelight.

New Salesforce Research AI Simulates Millions of Years of Economic Data Using RL

Salesforce Research published a groundbreaking paper, The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies, which applies AI and reinforcement learning to create tax policy for the first time.

Interview: Justin Grossbard, Co-founder and CEO, Compare Forex Brokers

I recently caught up with Justin Grossbard, Co-founder and CEO of Compare Forex Brokers, to discuss his perspective for how big data has made a significant impact on financial markets, including Forex. He also assesses the success in incorporating machine learning and algorithmic trading techniques to expand upon execution and trading strategies in order to make more informed decisions.

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.