AI

Data Democratization – making data available

One of the trending buzzwords of the last years in my world is “Data Democratization”. Which this year seems to have been complemented by “Data Fabric” and “Data Mesh”. What it is really about the long-standing challenge of making data available. It is another one of these topics that often gets the reaction “How hard […]

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The convergence of operational and analytical data

As expected in the first quarter of the year, there are many “top trends for 2021”. This year, I am reading these with a greater focus than before looking for clues of what may happen post this pandemic.Although I have seen some interesting predictions, like Hyper / Full automation using for example neuromorphic computing, emulating […]

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What does it take to make data fit for purpose?

I just finished reading IBM’s Science & Technology Outlook (STO) 2021. The report starts with a statement that really resonated with me. “COVID-19’s impact on the world has emphasized the importance of science.”  Reading the report what stands out to me is the emphasis on scientific method and approach for discovery. As well as the […]

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Two hundred-year-olds speculate – will AI take our jobs?

When IBM was recently invited to give their yearly guest lecture at Stockholm School of Economics within the course “Humans vs. Algorithms: Judgment, Prediction and Nudges”, AI & ethics had a spot in the schedule, with extra focus on interactive assistants. As you may have guessed, centenarians were missing both in front of and behind […]

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Create a better world with a more fair and ethical AI

Just like electricity changed the last centuries for the better, AI will transform this era. AI can help society scale new heights – making us healthier, more prosperous and more sustainable. But as we celebrate and anticipate AI’s enormous potential for economic and social good, there are - as with any new wave of technology - questions and concerns.

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Data virtualization challenges traditional technologies

Data virtualization, which has emerged alongside traditional solutions, aims to achieve the same end results data lakes and data warehouses. Which is better: self-service virtualization or a comprehensive data warehouse?

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Technical implementation of data virtualization

The traditional way of implementing data virtualization is based on data federation, where the central coordinator of the network collects and partially processes the data sent by all nodes.

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What to consider when choosing a tool and platform for an interactive assistant

When I was one of the speakers at the webinar “Interactive Assistants - Give the customer the right answer in all situations”, I was asked how to avoid including sensitive data in chatbot logs and the problems it can cause in terms of data security issues.

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How AI models secure AI models

The fact that IBM has been named one of the world's most ethical companies by Ethisphere for the third year in a row is based on our work to advocate and enable the implementation of ethical and reliable AI. But what is meant by the term "ethical AI"?

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