Kim Næss, the person regularly representing Hitachi Vantara at our summits, talked through his views on the state of AI and data science.
Clair Sullivan talked about duplicate code on GitHub and how they make sense of it using deep learning on graphs of code.
We are going to see Klarna’s story from an engineer’s and data scientist’s point of view, where first we look into their data organisation and structure, and later we’ll devote the white space to their machine learning models for superb purchase experience.
As Silicon Valley is the main cradle of the largest high-tech corporation, including Apple, it’s only fitting to have a Silicon Valley perspective on where we stand with digitalisation and emerging technologies like AI, machine learning and deep learning. Bhairav Mehta, Data Science Manager Apple gave a comprehensive overview of the latest developments and trends, but also covered important historical breakthroughs that lead to the current state of AI and ML.
Soeren Linau, Head of Swiss Cross-Domain and Lufthansa Group AI Studio, is coming to Data Innovation Summit 2020 to present what Lufthansa Group is doing in the area of artificial intelligence and how AI Studio contributes to AI innovation in the Group.
Establishing analytics in an organisation may seem like reinventing the wheel and make business leaders feeling like they’re out of their depth.
Adrian Badi sees AI developing into two extremes, but the path it takes depends on how we choose to develop these principles moving forward.
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.
The banking industry has been quite resistant to change ever since its beginnings. But financial services are not immune to the biggest technological revolution the word has attested caused by AI. Apart from being under pressure to adapt to the digital economy, banks have started to discover some really valuable AI use cases.
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.
As early as 2006, Gartner predicted that 90% of organisations would fail in the efforts to implement data governance. And today, these predictions have become reality. According to David Dadoun, Senior Director Business Intelligence and Data Governance at Aldo Group, only 10% of organisations that have deployed data governance are going to get any value from it. This leads us to ask: why is that?
With the explosion of data and the value it brings for companies, hiring a Chief Data Officer (CDO) has been on the agenda of the majority of companies. Companies are in a literal race trying to find Chief Data Officers. It’s only natural that executives are enthusiastic about welcoming a CDO in this big data era.