It has been an awesome day for everyone that attended the first presentation day of the Online Data Innovation Summit would agree. We had a super immersive and one-of-a-kind experience listening to some of the biggest names in the industry share their data and analytics stories.
AI and ML accompany astronauts on their arduous space journeys and help in executing space activities that would have been unthinkable if only reliant on human resources and capabilities.
Our cars are not just transportation means. The cars and trucks in the digital era are real data platforms producing and collecting huge amounts of raw […]
As an extremely competitive landscape, the retail and e-commerce companies are continually looking for ways to optimise their product and service offerings and provide the best customer experience possible.
Holding the absolute dominance of the market, they operate in, and the hearts of their customers means also staying on top of innovation and being the first to embrace new technologies for the following world’s biggest and most beloved brands: Coca-Cola, Starbucks and The LEGO Group.
The star-studded edition In 2019, the simple idea that we had conceived in 2015, became a reality — the Data Innovation Summit grew to become “the […]
At the 5th edition of the Data Innovation Summit, we are going to welcome on stage some of the biggest names in the game development industry and hear their innovative ways of using data: Massive Entertainment (a Ubisoft Studio), Rockstar Games and Zynga.
When your business is serving customers in 6000 cities, in 64 countries and millions of riders, you have to make sure you live and breath customer satisfaction. Uber, the global tech leader in ride-sharing, can teach us a thing or two with how they manage to keep all their riders and drivers happy.
Data science in banking may sound a bit boring. However, data scientists have had their hands full with working on some really interesting challenges that banks have been experiencing these past several years.
The usual way of implementing machine learning and AI in an organisation starts with doing proofs of concept and pilot projects for specific use cases. But this approach falls short of delivering any ROI for the business to be able to justify the cost.
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