Key Performance Indicators (KPIs) are probably one the most ever used and less understood in term of the business and analytics. They are a business metric used to evaluate factors that are crucial to the success of an organization and differs from company to company and department to department. It is one of the most important company’s strategic decisions which involve a series of interviews with stakeholders and acting as a strong strategic decision for each company.
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.
These tech giants are joining us at the 5th edition of the Online Data Innovation Summit to share their state-of-the-art methods of using data, AI, ML to power their massive tech platforms and make decisions that impact millions of people daily.
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.
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.
We have begun to open the black box that is AI, providing a simple overview of ML. We looked at three broad types of ML—reinforcement, supervised and unsupervised—and examined some simple applications of each, where possible related to Human Resources.
Examples, where AI complements and even extends human capabilities, are multiple. Notably, Microsoft AI has reached human parity, i.e. become as good as a human in many aspects.
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.
Starting with our inaugural Data Innovation Summit 2016, we are going to explore how the summit was born, it’s humble beginnings and breakthroughs with data and analytics in 2016.
Takuya Hirakuri General Manager at Digital Strategy Department, Mitsubishi Corporation and Rei Kubonaga CTO at MC Digital are going to tell us all about their digital transformation initiative in the food industry in their presentation at the Data Innovation Summit.
Data and AI readiness is the goal of every company looking to succeed in the Data and AI-first society we are living in. To put in more context to the story, we previously talked to Henrik Göthberg, Founder and CEO of DAIRDUX, about the concept of becoming and being Data and AI-ready.
To know if you have succeeded in your digital transformation initiatives to make your organisation AI and data-driven, Amer Mohammed who was at the moment Head of Digital innovations at Stena Line, suggested looking back to what the purpose of digitalisation is while presenting Stena Line’s voyage towards becoming a digitised shipping company.
We invite Dan Sommer to talk about QlikWorld – an event that brings first-hand experiences of companies that have pivoted in this fast-paced environment to quickly make decisions from insights in their data. We were curious to gain a sneak peek into what we’ll be able to see and hear at QlikWorld.
This week, we had the pleasure of hosting the 3rd edition of the Maintenance Analytics Summit, the first time in a virtual setting. Traditionally PdMA Summit brings together maintenance professionals, experts, practitioners, and enthusiasts who are eager to learn from the latest and most innovative methodologies, tools and case studies in data-driven maintenance and advanced data analytics.
The passenger number is a crucial figure in railway operations that impact the overall functioning of the commuter railway traffic. But in the case of VR Group, Finland’s government-owned railway company, with over 14 million passengers carried on long-distance rail services only in 2019, predicting passenger number requires additional helping hand by machine learning.
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.