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Senzing’s Software for Real-Time AI for Entity Resolution to Fight Financial Crime

Senzing, a new artificial intelligence-based (AI) software company, announced its Senzing software product to address the $14.37 billion financial fraud market. Senzing is an IBM spinout that has reinvented entity resolution, which senses who is who in real time across multiple big data sources.

Big Data in Financial Services

In this special guest feature, David Friend, co-founder & CEO of Wasabi Technologies, takes a look at the big data and cloud storage technology stack as it relates to the finance industry. The financial services industry is highly competitive, with products fighting for the smallest differentiation to make an impact in the market. Big data and the cloud serve to provide important competitive advantage to this important industry.

Big Data’s Role in Taxation & Public Administration

In this contributed article, freelance human Avery Phillips discusses how the application of big data in taxation has eased the effort required for high levels of accuracy, and has increased the uses for tax information around the world. Big data in public administration has yet to play a significant role across the industry, however, its potential awaits untapped.

Funding for AI Start-ups Makes a Big Splash

I knew it was just a matter of time before I’d hear of something like the recent announcement of the launch of Cognitiv, a specialized crowdfunding campaign to create a $100 million fund focused on early-stage companies that leverage AI, deep-learning, IoT, robotics and digital manufacturing to become tomorrow’s category leaders.

Machine Learning in Finance: Challenges, Successes & Opportunities

AI or machine learning is changing the way industries across the spectrum interact with their customers, as well as develop their processes. And nowhere is this more evident than in the financial business. Download a new insideHPC special report that explores the benefits, challenges and considerations involved with adopting machine learning in finance.

Applying AI Technology to Reduce AML Risk for Global Financial Institutions

QuantaVerse published a new paper that examines how financial institutions can apply AI and machine learning technologies into their anti-money laundering (AML) ecosystems. For financial institutions, the time is now to deploy AI into their AML ecosystems. AI and machine learning hold the key to reducing risk related to financial crimes, addressing regulation, driving out operational cost through improved efficiency and, most importantly, effectively preventing criminals and terrorists from using the banking industry for their evil agendas.

AI Poised to Revolutionize Insurance Industry

According to a recent report from Accenture, three-quarters of surveyed insurance executives believe that artificial intelligence will transform the insurance industry within three years. Michael Macauley, CEO of Quadrant Information Services, expects urgency and planning to follow quickly as the potential benefits of AI become more apparent.

AI Enables Banks to Identify and Prevent Money Laundering While Surpassing Regulatory Demands

In this special guest feature, David McLaughlin, CEO and Founder of QuantaVerse, discusses how advancements in data science, including artificial intelligence (AI), machine learning and big data, promise to stifle money laundering and change outcomes for victims around the globe. Financial institutions have begun working smarter through the use of AI and machine learning to help banks dramatically improve the efficiency and effectiveness of money laundering investigations.

Logical Glue Develops Machine Learning White Box Insights for Financial Services and Insurance Markets

Logical Glue, the cloud-based software company that helps the financial services and insurance industry reduce risk and increase profits with insightful and faster data-driven decisions, has closed a major private investment from UK entrepreneur Tom Singh. The investment will allow Logical Glue to expand its cloud-based machine learning and statistical modelling platform, further developing its patented “white box” decision-making engine and data visualization tools.

What’s In It for Me? What Banks Gain By Enabling Customers To Get Value From Their Data

In this special guest feature, Jeff Brown, Vice President in the banking and financial services practice at Genpact, discusses that in order to compete in a digital-first world, financial institutions must use the data they have to create better customer experiences. Any customer will tell you the bank’s effort here is lacking, but the conversation now happening is how banks can enable customers to monetize their own data for the customer’s benefit, without stepping on privacy laws.