How NASA uses AI and Machine Learning for space exploration
AI and ML accompany astronauts on their arduous space journeys and help in executing space activities that would have been unthinkable if only reliant on human resources and capabilities.
Harnessing the computing power of GPUs to accelerate analytics
Todd Mostak is the CEO and Co-Founder of OmniSci, our Data Innovation Summit 2020 partner and the pioneer in accelerated analytics, redefining speed and scale in big data querying and visualization. Todd talked to us about how the idea of a GPUs-accelerated analytics platform originated during his graduate research at Harvard on the role of social media in the Arab Spring.
Revolutionary automotive companies at DIS 2020: Volkswagen, Volvo, Scania, GM, F1
Our cars are not just transportation means. The cars and trucks in the digital era are real data platforms producing and collecting huge amounts of raw data that leading automotive manufacturers and car racing brands analyse to improve vehicle performance and provide next-level driving experience. The automotive industry has always led the way in innovation. With the advent of data and analytics, […]
Retail and e-commerce leaders at the DIS 2020: eBay, Zalando, Shopify, Henkel, H&M
As an extremely competitive landscape, the retail and e-commerce companies are continually looking for ways to optimise their product and service offerings and provide the best customer experience possible.
World’s most beloved brands at DIS 2020: Coca-Cola, Starbucks, the LEGO Group
Holding the absolute dominance of the market, they operate in, and the hearts of their customers means also staying on top of innovation and being the first to embrace new technologies for the following world’s biggest and most beloved brands: Coca-Cola, Starbucks and The LEGO Group.
The Data Innovation Summit: 5 years of data and analytics journey (2019)
The star-studded edition In 2019, the simple idea that we had conceived in 2015, became a reality — the Data Innovation Summit grew to become “the largest and the most influential data event in the Nordics and beyond”. The Data Innovation Summit 2019 hosted the record number of 1800 delegates coming from the Nordic countries, but also people from other countries from […]
The Data Innovation Summit: 5 years of data and analytics journey (2018)
The Data Innovation Summit was amended with exciting new features. We added new stages with practical case studies on Data-Driven Innovation, Analytics, Data Science, Machine Learning, Artificial Intelligence and IoT Insight.
Join the Tech Giants at the DIS 2020: Netflix, Airbnb, Uber, Spotify
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.
What is the best strategy to put effective KPIs in place?
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 Data Innovation Summit: 5 years of data and analytics journey (2017)
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.
Join the Tech Giants at the DIS 2020: Facebook, Google, LinkedIn, Twitter
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.
Business
The Data Innovation Summit: 5 years of data and analytics journey (2017)
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 Data Innovation Summit: 5 years of data and analytics journey (2017)
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.
Data pillars that support a solid digital transformation initiative
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.
Where AI has reached human parity: A glance at Microsoft use cases
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.
Winning the race of data analytics: Formula 1
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.
The Data Innovation Summit: 5 years of data and analytics journey (2016)
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.
How Mitsubishi Corporation supports digital transformation in the food industry
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.
The birth of the Data Innovation Summit: Interview with Goran Cvetanovski
Together with Goran, we went on a reminiscence journey to 2016 – the year when the Data Innovation Summit was born, but also the year in which Data Science was an emerging discipline.
How the COVID-19 crisis is affecting the BI and Analytics landscape: Interview with Dan Sommer
To discover how the current situation affects the BI and analytics field precisely, we again invited Dan Sommer, Senior Director, Global Market Intelligence Lead at Qlik, and former Research Director at Gartner, to share his insights with us.
The role of HR in becoming DAIR – Data and AI-ready
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.
Tech
Can we trust deep learning to detect duplicate code? GitHub did it
Clair Sullivan talked about duplicate code on GitHub and how they make sense of it using deep learning on graphs of code.
Data and AI Innovators – Jorge Davila Chacon
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.
Data and AI Innovators – Daniel Zakrisson
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.
ML codes can open iron doors: Gesture recognition
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.
Automated and AI-enabled B2B lead generation
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.
Data and AI Innovators – Panos Alexopoulos
Panos Alexopoulos brought knowledge graphs on stage at Data Innovation Summit 2018 to share his lessons from building one for the labour market.
AI-powered telecom network of tomorrow: Ericsson case study
The telecom networks of today connect people. The telecom networks of tomorrow will not only connect people but also things, factories and offer immersive video use cases with the help of 5G and IoT.
Taming the reproducibility crisis in data science: Lars Albertsson
Reproducibility is a common challenge that plagues the scientific community. And data science is no exception. Everyone is talking and writing about how to overcome it, but few have had real progress.
ML-powered accommodation hunt: The Airbnb approach
There’s rarely a person that hasn’t booked or at least tried to book a trip at least once with Airbnb. Founded in 2008, it’s an online platform that has revolutionised how people find places to stay around the world.
“Dumb intelligence” or getting wrong results with machine learning
Ismail Elouafiq, a Data Scientist at SVT has drawn a genius association between machine learning systems. (Disclaimer: Ismail’s presentation and this article contain mentions of cats, so people that are allergic or just don’t like cats, you’ve been warned.)