Magic Quadrant for Single-Instance ERP for Product-Centric Midmarket Companies

December 9, 2015

This Magic Quadrant focuses on ERP systems that support a single-instance strategy for multientity midmarket and upper-midmarket companies. Leading vendors are rearchitecting their solutions to adopt in-memory technologies, cloud delivery principles and modern UIs. The applications in this Magic Quadrant are analyzed and rated on their ability to support the combined administrative and operational needs of product-centric companies. Consequently, the Magic Quadrant is not applicable to organizations that are only looking for administrative ERP applications or ERP for non-product-centric companies.

Spotlight

BioCatch

BioCatch is a digital identity company that delivers behavioral biometrics, analyzing human-device interactions to protect users and precious data. Founded in 2011 by experts in neural science research, machine learning and cybersecurity, BioCatch is used by banks and other enterprises to reduce online fraud and protect against cyber threats, without compromising user experience.

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Mitigating AI/ML Bias in Context: Establishing Practices for Testing, Evaluation, Verification, and Validation of AI Systems

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Artificial intelligence and machine learning analyses are driving critical decisions impacting our lives and the economic structure of our society. These complex analytical techniques—powered by sophisticated math, computational power, and often vast amounts of data—are deployed in a variety of critical applications, from making healthcare decisions to evaluating job applications to informing parole and probation decisions to determining eligibility and pricing for insurance and other financial services.

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Leading Through Digital AI Powered Transformation

whitePaper | December 23, 2019

We are witnessing a new genre of companies shaping the business landscape by leveraging emerging technologies and applying them with such potency to create competitive advantage. These organisations have a quest to scale; they are big on customer experience; they are open to partnerships and are able to deploy their products and services at scale through APIs; they are big adopters of the cloud and quite often are born in the cloud; they embrace design thinking and are happy to return to first principles to find innovative solutions to business problems; and they are relentless at leveraging the power of artificial intelligence (AI) for insights and decision making.

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White Paper:Intelligent Networking, AI and Machine Learning

whitePaper | June 7, 2022

Telecoms need to be able to incorporate new technologies and next-generation connectivity such as 5G to customers and end users. To achieve these ambitious goals, they need to optimize their networks – make them more intelligent if you will. Some of the tools needed include artificial intelligence (AI), machine learning (ML) and artificial intelligence operations (AIOps). This document will explore what intelligent networking means to telecoms, vendors and customers, and how AI and ML technologies and tools can be used, the cultural shifts the industry needs to make it a success, and what to bear in mind when deploying machine learning across a telecom network.

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Code Red: The business impact of low code quality

whitePaper | March 30, 2022

This paper presents data from a large-scale study on how code quality impacts software companies in terms of time-to-market and product experience. We conclude with an analysis of the impact and specific recommendations towards successful software development.

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Artificial Intelligence & Financial Services

whitePaper | November 29, 2022

Artificial intelligence has long since graduated from science fiction and speculative use cases to widespread and diverse development across fintech sectors. CB Insights reported that financings for AI startups showed continued robust activity through Q2 2022, despite changes in market sentiment from the exuberance of 2021.

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Modern Risk Management for AI Models

whitePaper | September 15, 2022

The concept of Artificial Intelligence (AI) and Machine Learning (ML) dates back to the 1950s with researchers trying to use machines to simulate human intelligence in machines. However, their use in the financial sector has been limited. With enhanced customer service and mounting cost pressures, financial institutions (FIs) have now started to look at AI as a possible solution for improving cost and operational efficiencies.

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Spotlight

BioCatch

BioCatch is a digital identity company that delivers behavioral biometrics, analyzing human-device interactions to protect users and precious data. Founded in 2011 by experts in neural science research, machine learning and cybersecurity, BioCatch is used by banks and other enterprises to reduce online fraud and protect against cyber threats, without compromising user experience.

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