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As financial organizations deploy artificial intelligence and machine learning in the fight against financial crimes, David Stewart of SAS offers tips to help separate fact from market hype when reviewing new data analytics tools.


Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. ...


Every year, thousands of attacks are successfully perpetrated against organizations of all sizes. Yet many of the victims had endpoint protection solutions in place. In fact, the adoption of antivirus (AV) is virtually universal, so why are so many attacks succeeding? In most cases, attackers expect...


As it becomes painfully clear that traditional cybersecurity solutions leave gaps, however small, that can be successfully exploited by adversaries, many users take heart when new and promising security solutions emerge. Technologies such as heuristics, deep packet inspection or behavioral analysis ...


No one wants to be viewed as just an IP address, a theoretical profile, a demographic segment, or other vaguely defined term. We all want to be treated as individuals. And as consumers, we’re more likely to want to interact with a company that sees us as human—not a random collection of devices. Th...


The business world’s focus on machine learning (ML) may seem like an overnight development, but the buzz around this technology has been steadily growing since the early days of big data. ML is beginning to deliver on the potential created by big data and analytics by turning raw data into useful, ...


Theories about the future impact of artificial intelligence (AI) on business and society are everywhere. But the reality on the ground today among the companies and leaders applying technologies such as machine and deep learning to their core challenges is exciting enough. Business models are being ...


As a cloud-first company we are committed to educating our community and clients about cloud transformation Unlocking the potential of IoT The Internet of Things (IoT) has the potential to offer organisations in all industries the opportunity to drive real business value. From insights to innovatio...


At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers' experience—from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powe...


State of the Industry The retail shakeup is upon us. As technology shapes consumer preferences, the retail landscape is being turned on its head. Commerce is now digital. And the era of mall rats and lazy days spent at the food court seem like a distant memory. Today, both strip mall boutiques and...


The banking industry has been talking about improving the customer experience with customer-centric banking for a long time. Over recent years, a gap has appeared between innovative digital leaders and those who have been slower to join the digital revolution. What is it that industry innovators an...


The ABCs of Customer Experience: 40 Buzzwords Defined


She Who Has the Most Data Wins Data is transforming the world. Advances in the way we capture, process, and analyze digital data are enabling greater efficiencies, better insights and decision making, even entire new business models. Data is pushing the boundaries of what is possible in every indust...


The French National Railway Corporation — the Société Nationale des Chemins de Fer Français, or SNCF RÉSEAU — is a state-owned company that operates France’s world class railway system. SNCF Réseau oversees the management and maintenance of 30,000 kilometers of railway line with 15,000 trains runnin...


Unlocking the potential of IoT The Internet of Things (IoT) has the potential to offer organisations in all industries the opportunity to drive real business value. From insights to innovation, the data generated through IoT can be the key value-driving ingredient for businesses looking to outperfor...


To apply algorithms to the data deluge, technical professionals need an agile analytics architecture. Orchestrating people, processes, and technology separates winners from losers. This guide provides key considerations for creating an agile machine learning architecture.


Vendors old and new have laid claim to the next-generation moniker. The field has become crowded with dozens of endpoint security products marketed as game-changers. Some may include behavioral detection elements. Others might offer some degree of machine learning. Still others might claim to offer ...


This document looks at the changing threat landscape, cyber criminal motivations and challenges for enterprises traditional security monitoring and detecting devices. The paper introduces a new category of managed detection and response for advanced threat detection that uses machine learning combin...


As millennials overtake baby boomers as the most populous generation in the world, organisations are realising they need to communicate with Generation Y on their own terms – and through their preferred channels of communication. This has meant a shift away from the old methods of customer communica...


Ten practical and achievable ways to put machine learning to work Are Your Fraud Systems Keeping Pace? Fraudsters are crafty, and they have to be. As financial institutions discover and block their usual tactics, they have to change course. They launch more sophisticated and complex schemes, involve...


No matter where you look in the security world today, you’ll see the terms machine learning and artificial intelligence (AI). There’s been a great deal of interest in machine learning and AI as security vendors and their customers look for better ways to improve their security posture and fight agai...


In today’s environment, businesses are feeling the heat of competition from all sides, in many cases from disruptors within their industries who are wiping their markets clean with technology and data. To compete, businesses need innovation; and to innovate, they need data. There’s a fire hose of d...


Machine Learning Data Catalogs, Q2 2018 In our 29-criteria evaluation of machine learning data catalogs (MLDCs) providers, we identified the 12 most significant ones — Alation, Cambridge Semantics, Cloudera, Collibra, Hortonworks, IBM, Infogix, Informatica, Oracle, Reltio, Unifi Software, and Waterl...


Security and risk management leaders considering UEBA will find that the market has fragmented, with a few pure-play vendors and a wide set of traditional security products that embed core UEBA technologies and features to benefit from advanced analytics capabilities. Key Findings: * UEBA technolog...


The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively. Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing t...