Tag: ML

How To Improve The Financial Services Industry With Artificial Intelligence And Blockchain

Here’s How Machine Learning Can Help CMOs Navigate A Polarized, Multicultural America

Machine Learning – I started writing a couple of years ago about the growing challenge marketers face in a polarized, politicized society: whether and how to meet consumers’ expectations that they wade into the big social issues of the day. At the time, I knew it was a critical issue but I thought there was…
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AI Definitions: Machine Learning vs. Deep Learning vs. Cognitive Computing vs. Robotics vs. Strong AI….

Cognitive Computing – AI comes in many forms, each at its own stage of development with its own definition, techniques and capabilities. Some forms – such as Artificial General Intelligence, AI super-intelligence or Strong AI, the kind of AI that might someday automate all work and that we might lose control of – live in the future…
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Five Ways To Create And Implement More Ethical (AI) Artificial Intelligence

With more innovation in artificial intelligence (AI), more unexpectedly dangerous uses — like the OpenAI and Amazon cases — are emerging. Each one is a good reminder to consider the ethics and implications surrounding artificial intelligence and machine learning (ML). First, it’s important to note that artificial intelligence does not, on its own, have any intention (good or bad) or the will to…
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Using AI to Predict Breast Cancer and Personalize Care

AI – MIT/MGH’s image-based deep learning model can predict breast cancer up to five years in advance. With that in mind, a team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Massachusetts General Hospital (MGH) has created a new deep-learning model that can predict from a mammogram if a patient is likely to…
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How organizations can make the most of machine learning

At SAP SAPPHIRE NOW 2019, TechRepublic Associate Staff Writer Macy Bayern sits down with Markus Noga, senior vice president of machine learning at SAP to discuss which companies should use machine learning, and best practices for execution. The following is an edited transcript of the interview. Macy Bayern: In what ways are organizations most using…
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Navigating AIOps: Key To The Emergence Of The Automated Data Centre

AIOps (artificial intelligence for IT operations), is a relatively new industry term that is increasingly being associated with a new breed of IT management vendors.  However, nearly all AIOps companies did not start with fully-fledged AI capability from the outset – they have all evolved from network monitoring, application monitoring, service desk or infrastructure monitoring.…
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How the NYPD is using machine learning to spot crime patterns

Machine Learning – Civilian analysts and officers within the New York City Police Department are using a unique computational tool to spot patterns in crime data that is closing cases. A collection of machine-learning models, which the department calls Patternizr, was first deployed in December 2016, but the department only revealed the system last month…
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Why modern enterprises need to adopt cognitive computing for faster business growth in a digital economy

Modern enterprises must be equipped with necessary digital strategy and technological infrastructure to integrate cognitive computing systems into key business processes to elevate the value proposition of services on any scale. Cognitive computing (CC) technology revolves around making computers adept at mimicking the processes of the human brain, which is basically making them more intelligent.…
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AIOps: Why Developing Trust In Automation Takes Time

Building trust in AIOps may take time, but not because enterprise users are uninterested in artificial intelligence and machine learning (AI/ML) solutions. Why do enterprises need AIOps? Because complexity is exploding. Scale is massive. A single interaction on your smartphone, for instance, may touch dozens of computers and services—and millions of lines of code—across the…
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