Any company that wants to do analytics, artificial intelligence, machine learning or digitalisation, first must have their data foundations in place. This a straightforward premise, however too many businesses get stuck on their data platform journey.
We’ll hear Laila Kakar at the Data 2030 Summit in her session on How to measure the unmeasurable – translating SMART data into insights, where she’ll tell you more about how to start making fact-based decisions and how machine learning can support you in your decisions. Laila shared some success points on how data and facts can really make a difference in your business.
Enterprise AI and algorithmic processes require perfect synchronisation and agility. This is where DataOps comes in the picture – as a single point of contact when something goes out of sync.
To date, every company, no matter big or small, or the industry it operates in, knows that the only way forward is to become data-driven. Mining, analysing and deriving insights out of the fundamental asset is key for the business success in our digital world.
There is a new concept in the data analytics market that introduces the vital continuous flow of intelligence and action, based on real-time, up-to-date information and is designed to compel, to trigger action and engagements with the insights that it generated – active intelligence.
Netflix, Airbnb, Uber and Spotify have totally disrupted the markets they operate because they’ve found smarter, faster, and better ways of providing exceptional customer experience by relying on data analytics, AI and ML. And they are all coming to the Data Innovation Summit to present their data workings that contribute to their massive success.
The previous The Data Innovation Summit: 5 years of data and analytics journey series was dedicated to practical case studies on “how” and real examples of putting data innovation into practice of the Data Innovation Summit 2017. Now we’ll see how pioneering companies utilised analytics and data science to innovate through their data and their best analytics practices.
The first 2016 edition laid out the foundation for data-driven innovation and brought light to the macro drivers, the challenges, the implications and the solutions. Whereas, the 2017 edition showcased more practical case studies on “how” and real examples of putting data innovation into practice.
The current climate underpins the great necessary for digital transformation. However, as with other initiatives, companies need to get the data fundamentals right from the very beginning to set themselves up for success in the digital era.
Formula 1® car racing championship attracts the enthralled eyes of speed lovers that eagerly wait for the recognisable single-sit cars to whizz on the hot, melting concrete. What die-hard F1® also know that the racing sport is an intense numbers game.
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