Amer Mohammed is a Data Innovator with a strong impetus to lead companies on the data road and prepare them for the digital economy.
Anna Felländer was a speaker at Data Innovation Summit 2019 where she delivered a presentation on AI sustainability, its importance and how to achieve it.
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.
Jorge Davila Chacon discussed the RL application for debt collection at Data Innovation Summit 2017. But a time-lapse of almost 3 years is a lifetime in the machine learning world. This was the reason we invited Jorge to talk about recent developments in AI and ML, and particularly in reinforcement learning, not only from a technical side, but also from a social aspect of the adoption of these technologies.
Giving up ownership over their data even for collaboration for building machine learning models is what organisations fret about. Daniel Zakrisson talked about federated machine learning as a solution for this predicament at Data Innovation Summit 2019.
Volvo Group is a clear pioneer with data and AI. We’ve already seen how Volvo Car Group in reinventing the self-driving cars department on daily bases. AI and innovation are the springboards for Volvo Group in all their operations focusing on connectivity, electromobility and automation.
Electronic access cards are nothing new – last century news. But what if you could open a door just by making a wrist with your phone. A group of very smart guys sat down and decided to find a way to take the experience of opening a door to the next level – and the perfect solution was to turn the phone into a key relying on gesture recognition.
How to generate more leads? This is a question that all B2B businesses are trying to answer by relying on different inbound and outbound B2B lead generation methods.
We sat down with Alun Jones to talk to us about the developments, challenges and future outlooks of data science in his industry. Alun spoke at Data Innovation Summit 2018 and shared his experience with that it means to work as a Data Scientist in heavy asset industry.
Panos Alexopoulos brought knowledge graphs on stage at Data Innovation Summit 2018 to share his lessons from building one for the labour market.
To get a better understanding of what has changed in the financial industry regarding data management, we sat down with Martin Walker who spoke at Data Innovation Summit 2018.
This week, we focus on our other Chairwoman – Linda Borelius, CEO at Sparks AB. We don’t see Linda first time in this role, she was a Nordic Women and Data Summit Chairwoman last year too. In her opening remarks, she discussed her beginnings and decisions to start a career in data.
The IT and business gap is a continuous topic of discussion. A lot of speakers at our summits have taken time to share their experience and solutions for narrowing this gap that many times looks like an abyss. This time, we give attention to Dacil Ullman, Group Data Analytics Manager at Interm, and Chairwomen at Nordic Women and Data Summit 2019. She presented on the constant struggle to bridge the gap between business and IT, and the Chief Analytics Officer who has the difficult role to execute it, at the Nordic Women and Data Summit 2018.
We might not be aware of it, but recommendation systems influence everything we read, watch and buy online. Every website has a recommendation system built in the background whether it’s to suggest an item based on what we have bought previously, suggest the next song to play, all the way to suggested jobs based on our qualifications on LinkedIn, or even dating websites matching us with potential partners.
In today’s digitalisation-powered and data-driven, speed-of-light changing world, customers have become more demanding than ever. And companies are looking for solutions to place customers in the centre of their business and know them like the back of their hand. This is where customer-centric data science finds its place – as a strategy for improving, personalising customer experiences with data science and considering business from a point of view of individual customers.
The airline industry is one that depends on data to function. Data is transforming all step of airlines operations pre- and post-flight, starting from ticket purchase, ground transportation, flight schedules, delays etc. All industries working with data have their own specifics and frequently encounter data fragmentation, especially complex multi-department organisations. But the nature of the airline industry is even more complicated, and consequently, data fragmentation is more pronounced.
When it comes to data governance policy, companies are aware they need one, but few of them know where to start. A lot of them are at a crossroads when it comes to creating a policy that works for their organisation. But the first instinct of reaching to a standard policy wouldn’t work because it won’t meet your corporate strategy.
Data quality is considered as the highest commandment in data management. And it’s with a strong purpose. Only quality data is useful data, and to be quality it must be consistent and unambiguous. All data that is gathered, stored and consumed during business processes directly impacts the success of the business.