AI

The transformative value of data

The transformative value of data Today, organizations in the industrial-related industries are dealing with unprecedented external challenges from both traditional and new market entrants, that is resulting in the need to redefine their relationships with their customers and also reinventing how indeed they deliver their core services. In IBM, we see our customers driven by […]

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Why do we need to talk about ethics and bias in AI?

I wonder if it is a form of guilt that has started to hit the tech industry. Everywhere you start talking about ethics, and terms like surveillance capitalism and economics start to creep into the language. Overall, we – or at least large parts of the industry – have a feeling that something may have […]

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Prescribing your future with AI Machine Foresight

New AI capabilities are emerging, including extensions to conventional predicting and forecasting techniques that are quite often using machine learning technologies to model the real world. In a nutshell, while a large part of machine learning (mostly classification) aims are predicting what will happen next, decision makers may also be interested in various future scenarios […]

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Nordic Organizations Now Need More than 11 Times Longer to Close Today’s Skills Gap

Over 120 million workers in the world’s largest 12 economies may need to be retrained or reskilled as a result of AI and intelligent automation in the next three years. Our skills gap – also in the Nordics – is real and it is now taking 12 times longer than four years ago for organizations […]

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Achieving Competitive Advantage in the Sports Industry

IBM is proud to be actively engaged in the sports industry empowering major events from Wimbledon, US Open (tennis) to US Masters (golf). Furthermore, we are currently helping the semi-professional English football club Leatherhead FC to raise their game with help from AI. But this is only a few examples combining sports and technology, among […]

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Self-Learning Data Catalogs – Data Catalogs’ Sequel

Self-Learning Data Catalogs – Data Catalogs’ Sequel This is a sequel to the future progression of data catalogs. How to enhance and automate data management and analyzing processes with Data Catalogs by supporting the development of Artificial Intelligence (AI)? In these development processes, what are the main issues? Introduction I ended my first blog post […]

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How AI as a Service (AIaaS) helps companies with one of the great innovation headaches

For the best part of a decade now, businesses have dreamt about achieving a radical competitive edge through use of Big Data. In the past years, the field of big data, analytics and AI has been in rapid development. In the field of technology supporting AI and Data Science, the pace has indeed been exponential. […]

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Journey to AI – An IBM Garage Event

You are invited to our Journey to AI event. “Enterprise AI” is about solving sophisticated business problems in highly dynamic environments. This requires an understanding of well-defined use cases and starting points, and an acknowledgment that the bottleneck now is in management, implementation, and business imagination more than the lack of technology AI is transforming […]

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The Impact of IBM’s Groundbreaking Cyber Security Truck

As a result of the ubiquitous, increasing events of hacking and security breaches, IBM has sought to provide an opportunity for companies to develop protection plans, should they be intruded. Therefore, IBM created The X-Force Command Cyber Tactical Operations Center (C-TOC) to help counter such cyberattacks, which we made a blog post about in November 2018. […]

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