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Alternative Data in Payments Processing: The NextGen Payments Trend Increasing Customer and Retailer Loyalty

In this special guest feature, Gary Read, Import.io CEO, discusses how leading payments processors have already discovered the value of web data and are using web data to create a better experience for both the consumer and the retailer with heightened transparency to reduce fraud and personalized shopping experiences. As more payment processors integrate web data into their mobile and web solutions, more consumers will benefit from the “frictionless finance” achieved through customized digital user experiences while retailers build brand loyalty, increase customer touch-points and create the personalized experience consumers desire.

Data Integration Myth-Busting: Don’t Let These 4 Misconceptions Hold You Back

In this special guest feature, Jan Arendtsz, CEO of Celigo, suggests that business leaders and IT professionals know this tsunami of data is here, but many don’t yet have a comprehensive strategy to integrate it all, so they rely on stop-gap measures. Four data myths in particular hold companies back from creating an effective, long-term data integration strategy. Here’s a brief overview of each myth — and an explanation of why it’s leading businesses astray.

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.

When Data-Driven Meets Data Silos: Let the Fun Really Begin

In this special guest feature, Ed Thompson, CTO and co-founder at Matillion, believes that on balance, the systems that lead to having many data silos are a good thing; they indicate a business has the autonomy to choose the best systems in each department. This should make the business more efficient overall. However, the business needs data from all these systems.

Data without Borders: How Synthesis Enables Ethical Sharing

In this special guest feature, Mike Capps, CEO of Diveplane, discusses why organizations should consider synthesizing their data, what that process entails, what the benefits and use cases of synthesized data are and why he believes synthesized data is the key to not only a successful data/AI project, but also to a successful data-driven future.

Growth in Machine Learning: Accessibility of MLaaS and the Future of the Industry

In this special guest feature, Mateusz Czajka, Head of Technology and Product Design at Netguru, discusses how Machine Learning as a Service, or MLaaS, is completely breaking down barriers and has the potential to completely change the way we do business and make decisions –and it’s here now!

Artificial Intelligence and Natural Language in M&A: When Context Matters

In this contributed article, Ned Gannon, President of DFIN’s eBrevia subsidiary, explores how AI is proving invaluable in the legal world of mergers and acquisitions, especially in contract analysis. For large deals, the amount of time required to review decades worth of legal documentation to find an anomaly or problematic contractual provision is daunting, and something AI solutions are much better suited for.

What Good is Data without Context?

In this special guest feature, Richard Stocks, US Head of Financial Crime at Quantexa, explores why context of data is more important than ever and how customers need to be able to view everything with the context of business agility – discovering risks, threats, and opportunities and be able to quickly capitalize on or protect against them.

Intelligent Operations: How to Navigate the Journey from Manual to Automated

In this special guest feature, Tom Pohlmann, EVP of Customer Success at AHEAD, discusses how the road to fully functional Intelligent Operations is bumpy, no matter what stage of digital transformation companies are currently in. Based on his experience, he offers five stages of maturity that organizations typically fall into.

Optimizing Fuel Pricing in a Convenience Retail Environment with AI and Machine Learning

In this special guest feature, Niels Skov, SVP, PDI Fuel Pricing Solutions, outlines how fuel pricing is a complex business for convenience retailers. Using advanced digital capabilities like AI and machine learning to get fuel pricing right can have a significant business impact far beyond an operator’s raw margins on gasoline or diesel.