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.
Vehicles as data platforms combining human and sensory behaviours
Meltem Ballan, Data Science Fellow at General Motors, will give an overview of this topic in her Data Innovation Summit presentation Vehicles as data platforms: Telemetry meets vehicle identity and explain the neural components of data and human behaviour.
Scalable Big Data Modeling: How to model data to achieve scalability
Big data analytics gives businesses a competitive advantage. It opened the door to unexplored opportunities for companies to collect and analyse data from numerous sources, and in turn create product offerings around the precious insight they get, reduce cost or find innovative ways of working.
Jayesh Patel, Sr. Data Engineer at Rockstar Games, will talk about Scalable Big Data Modeling in his presentation at the Data Innovation Summit in August.
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.
Stimulate ML Development using Feature Store
Big data analytics leveraged Artificial Intelligence (AI), Machine learning (ML), and Deep learning application in recent times. ML application adoption is not limited to certain industries.
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.
Where NLP is today, where it is going and what problems it solves
Although we are far from having real conversations with self-aware, conscious robots as portrayed in the movies, NLP has nevertheless had some important advancements in recent years.
Business
Throwback to the first Maintenance Analytics Summit (part 1)
We are just a few days away from the third edition of the Maintenance Analytics Summit. The inaugural Maintenance Analytics Summit took place in 2018 as a response to the need for a platform where experts can present and discuss innovative case studies on data-driven maintenance in the heavy asset and manufacturing industries.
What to consider when implementing an HR dashboard
As everyone working with HR becomes aware of the importance of data analytics and its impact on enhancing recruiting, workforce management and performance, it’s a matter of time when the question of an HR dashboard is put forward.
How data analytics is redefining the metal cutting industry
The engineering and metal cutting industry are undergoing a dynamic shift towards digitalisation.
How data analytics helped Baker Hughes transform into a brilliant factory
We are honoured to welcome Renato Magliacani and Federico Puccetti from Baker Hughes as presenters at the virtual edition of the Maintenance Analytics Summit.
Shifting the predictive maintenance paradigm with a cloud-based approach
Many industrial and manufacturing companies have their data stored in file systems and ERPs. But, if data scientists and engineers are to use this data to provide value, it has to be available and accessible in a consolidated cloud space.
Predictive maintenance that unites data analysts and domain experts
In predictive maintenance, there is often a gap between “nice to have” and “must-have” solutions. Technical experts and customers disagree on what should be the final outcome of the digitalisation.
Is data-driven HR telling us all we need to know about our people?
How much data-driven and digitalised can we become without the fear of overlooking the human element in HR? After all, the role of HR is to manage the people of the company and needs to maintain some core values like empathy and humanity.
Asset lifecycle management with a ten metrics approach
Hamid Al-najjar, Maintenance Engineer at Seco Tools, will be joining us as one of the speakers at the virtual Maintenance Analytics Summit. During his presentation, Hamid will reveal a ten metrics approach that enables industrial companies to manage assets lifecycle and its performance from the inception to disposal with less cost.
Successful people analytics to lead tech-literate generations
The first word that people use to describe Millennials is tech-savvy or tech-literate. The majority of Millenials don’t remember a time when there was no internet or technology. Although they were born before the tech revolution caught on, they pretty quickly grew into the technology, and it became their second nature.
Is coronavirus (COVID 19) a black swan scenario for the world economy?
The world is undeniably facing a new, challenging and an unpredictable event with the outbreak of the COVID-19 virus, known as the coronavirus. So far, it has affected more than 550,000 people worldwide and has left business fearing total collapse.
Tech
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.)
Understanding Outer space with data science
Data gives us the universal truth in every field. And we’re not only talking about here down on Earth but also far above – as far as our eyes can […]
DataOps is breaking down silos between development, data and operations
DataOps emerged as a solution for bringing the battle-proven combo of developers and operations into the data processing and eliminating silos between developers, data scientists and operators.