Tag: AI

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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What Machine Learning Needs To Learn Next?

Machine Learning – Today, consumers can buy cameras powered by artificial intelligence (AI) that recognize a person at their front door. But they don’t have anything close to a robot that can tie their shoelaces. Why? Simply put, because most machine learning algorithms available today in AI applications don’t learn very well. Thanks to a branch…
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Why AI Journey Mapping Is Critical For Digital Transformation

Actually, forget “digital transformation.” Artificial intelligence has become such an integral part of digital transformation today that it’s almost synonymous with DX itself. AI allows us to extrapolate value from our data. It allows us to gain operational efficiencies. It even allows us to replace entire job functions! But to do so, it needs 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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Digital transformation and AI adoption: 5 lessons from senior leaders

Many companies are creating the first wave of digital transformation, increasing reach and customization, improving processes, and boosting productivity, while also beginning to incorporate big data into workflows. Now, executives are turning to artificial intelligence (AI) adoption to fight for digital supremacy against competitors, with high aspirations for its success even in the most traditional…
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The AI Journey For CSPs: From Big Data To Big Revenue

Many of the communications service providers (CSPs) I talk to say they’re struggling to use artificial intelligence (AI) to overhaul their competitive game. They feel that if they could just access the big data locked away in their networks, the floodgates would open, and they’d be on their way to automating operations and enjoying new…
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Smart IoT Investments In Little Things Lead To Big Payoffs

IoT – The idea of automating homes and businesses to make them smarter isn’t new. For decades, pundits and vendors have touted everything from automated light switches to connected thermostats and smart refrigerators. At this year’s CES, a wide range of smart objects made their debut, including a smart dispenser that gives treats to dogs…
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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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Predictive Analytics For Retail: What Lies Ahead?

I am personally fascinated by predictive analytics and the ability to combine data elements to create an approximate idea of what the future may hold. Although data modeling has been used quite extensively in certain industries (e.g., weather predictions based on specific historic models and key indicators, insurance estimates and actuarial tables, etc.), the concept…
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