Do’s and don’ts in establishing an ML analytics practice
Establishing analytics in an organisation may seem like reinventing the wheel and make business leaders feeling like they’re out of their depth.
Data and AI Innovators – Fredrik Backner
The telco and the retail industry have much more in common in terms of data and analytics than you would think.
The person who brings together these two worlds and can give an insightful overview of the two industries is Fredrik Backner, a speaker at Data Innovation Summit 2019.
Succeeding with maintenance analytics: Stora Enso’s approach
Predictive maintenance and maintenance analytics allow machine operators to save on resources unnecessarily spent on frequently scheduled maintenance checkups and part repairments that are ineffective.
Why and how Nokia changed the game with people analytics
What happens when a company grows so rapidly and its employee base increases three-fold? If you don’t do it right, “the culture will eat your strategy for breakfast,” according to Mark Hayton, responsible for HR analytics and employee surveys at Nokia.
This is how Expedia Partner Solutions gets the most out of analytics and data science
Everyone agrees that there is value in data science and advanced analytics. But still, companies are struggling to see that value in their business. Francisca Zanoguera from Expedia at her presentation at the Data Innovation Summit 2019, draws attention to a McKinsey study showing that only 8% of companies have managed to implement machine learning into their processes and only 12% have managed to go beyond the experimentation phase.
Using data in hyper-growth recruiting mode: How Zalando does it
Companies operating in a hyper-growth mode need to scale fast enough to meet business goals, but at the same time establish a hiring process, correctly estimate their hiring needs and attract the best candidates.
Experts reveal: What’s most important when building a data science team
Much has been said on the subject of building a good data science team, but it seems like companies are still struggling when it comes to putting together a data team.
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