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.
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.
Top game developers at the DIS 2020: Massive Entertainment, Rockstar Games and Zynga
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.
A Beginner’s Guide to Machine Learning for HR Practitioners
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.
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.
Business
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.
AI in the energy sector: How neural networks can improve plant operations
Uniper is doing some awesome breakthrough work with AI and neural networks that deserves to be divulged. For that reason, Tobias Mathur, Head of AI Operations at Uniper, will reveal their findings at the Data Innovation Summit in August.
The future of HR lies with Artificial Intelligence and Machine Learning
Machine learning has been gaining more traction in the HR department owing to the array of benefits with creating job descriptions to attract the best talent, training recommendations for employees and predicting employee attrition.
How to know when you’ve succeeded with digitalisation and AI: Stena Line
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.
How to create a people analytics team that drives real impact: Lloyds Banking case study
Steve Scott, former Head of Strategic Workforce Planning and Workforce Analytics at Lloyds Banking Group, gave some tips and hints he wished he had known when he was starting out with people analytics during his presentation at the Nordic People Analytics Summit 2019.
Learn from the best data integration and analytics innovations: QlikWorld
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.
Welcome to the age of Industrial AI: Reflection on the Maintenance Analytics Summit 2020
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.
Throwback to the first Maintenance Analytics Summit (part 2)
In the previous article, we introduced some of the topics and presentation that were discussed at the very inception of the Maintenance Analytics Summit.
Tech
Three approaches to predictive maintenance of baggage handling systems
The baggage handling systems at airports are some of the most complex conveyor systems. They are the bloodstream of the airports, which makes them a vital component of airport operations.
Up-close overview of data engineering from a data engineer’s point of view
Michal Gancarski, Data Engineer at Zalando, shared with us his perspective on the data engineering developments during the past several years and brought us closer to the process of buidling data pipelines and serverless data infrastructure.
Deep learning applications for corrosion detection
Matias Ferrero, RAMS Engineer at Norwegian University of Science and Technology (NTNU) some state-of-the-art deep learning approaches at the Maintenance Analytics Summit 2019.
How Equinor deploys machine learning at scale
The usual way of implementing machine learning and AI in an organisation starts with doing proofs of concept and pilot projects for specific use cases. But this approach falls short of delivering any ROI for the business to be able to justify the cost.
How to build interpretable machine learning models
As AI and machine learning are becoming an increasing part of our lives and businesses, our need to interpret machine learning models so we can trust them and deploy them with confidence is also growing.
How VR Group uses machine learning to predict passenger number
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.
Why and where The LEGO Group deploys machine learning models
Francesc Joan Riera, Applied Machine Learning Engineer, Data Engineering at The LEGO Group, is coming to the Data Innovation Summit 2020 to demonstrate how they train, maintain and update deployed machine learning models for LEGO’s Moderation Service.
Data and AI Innovators – Clair Sullivan
Clair demonstrated a deep learning method that can be used to detect duplicate code at GitHub, which is more than half of all the code on the platform.
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.