One of the industries where AI has found vast application is in banking. Banks have discovered some really valuable AI use cases: fraud prevention and fraud detection, credit underwriting decisions, customer service automation via chatbots, risk management, decreasing manual workload, and so on.
Data Science, Artificial Intelligence (AI) and Internet of Things (IoT) is said to be key components in the Fourth Industrial Revolution (4IR).
Worldwide spending on digital transformation projects is forecasted to hit nearly $2 trillion by 2022, but despite all the talk, what does transformation actually look like?
Patrick van der Smagt, Head of AI Research at Volkswagen Group, will elaborate on these and related questions during his Keynote presentation on Ethical and Trustworthy Artificial and Machine Intelligence at the Data Innovation Summit 2020. In this interview with Patrick, we scratch the surface of the profound topic of ethical and trustworthy AI.
The offshore oil & gas industry is exposed to extreme levels of risk. Companies and equipment are subject to volatile price fluctuations, extreme weather conditions and operational hazards like explosions, spills and workplace injuries.
Tobias Wagenknecht, Head of Data & Analytics at Aftonbladet, a Swedish daily newspaper, will try to calm the hysteria down, and share his learnings from his data-driven journey at the Data Innovation Summit 2020. We had a chat with him before his presentation.
Iiris Lahti, former Development Director – Data Utilization at Sanoma Media Finland will introducing the learnings and best practices of how to utilize data and machine learning in designing digital media services, content, marketing and better customer experiences.
Mikhail Popov, Senior Scientist at RISE (Research Institutes of Sweden) will share insights into a project they’ve been working on involving drone and AI-assisted livestock monitoring as a response to farmer’s plight regarding wandering or missing livestock.
The advanced analytics and data warehousing scene is changing with the speed of light. With the advent of big data, streaming data, IoT, and the cloud, the changes never cease. It may seem to be a very different world with different concepts, terms, and techniques. Or is it?
Going from gut feeling to predictive maintenance is not an easy process for manufacturers. It requires transforming processes from the ground up, change management, educating employees and adopting a data-driven mindset. On top of that, it’s costly.
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