What the Data 2030 Summit is all about: Interview with Saranda Arifi
To learn more about the event and why you probably would want to have it on your 2021 agenda, we talked to Saranda Arifi who works in the first lines to make the event possible.
Speaker spotlight: Introducing the first 17 speakers at the Data 2030 Summit
The countdown for the 5th edition of the Data 2030 Summit has begun. We are super excited to present to you the first 17 speakers at the Data 2030 Summit 2021.
How much data governance is enough data governance?
All the regulations around data compliance and protection force companies to go all into data governance to meet regulatory requirements.
The clash of the C-suite titans: CDO vs CIO
By 2021, the CDO office will be seen as a mission-critical function comparable to IT, business operations, HR and finance in 75 per cent of large enterprises.
Accelerate AI deployment with a comprehensive data management strategy
The percentage of companies investing in Big Data and AI initiatives has nearly doubled in the last two years, climbing to 64.8% in 2020 from just 39.7% in 2018, Forbes finds. Yet, for all the stocks placed in the disruptive technology of AI, only 14.6% of firms report that they have deployed AI capabilities into widespread production.
How DataOps delivers value to your data governance efforts
Despite the very known importance of making the data readily available, relevant and high quality, many organisations still fail to grasp the value of it and have a solid data governance programme in place in 2020.
The rise of the next-generation data platform: Multi-cloud
As business leaders are navigating the cloud environment and are searching for the perfect cloud platform to provide flexible and easy migration across the cloud infrastructure, many of them have adopted the multi-cloud strategy.
Is there room for IT on the road towards a data-driven organisation?
The IT department rose to its fame when information technology and the Internet started being widely used in the organisation back in the 1980s. The rise of the internet created many new business opportunities and laid out a new economic narrative enabling companies to be more connected than ever before, contributing to the globalisation we are still leaving in.
Why Data Management remains a challenge in the Data and AI-first era
Having a robust data management strategy and infrastructure is critical for the success of every data-driven business.
Nevertheless, data management remains a fundamental challenge to solve even as we are moving towards data-first and AI-driven organisations.
Going from passive to active analytics that compels action and engagement: Active intelligence
There is a new concept in the data analytics market that introduces the vital continuous flow of intelligence and action, based on real-time, up-to-date information and is designed to compel, to trigger action and engagements with the insights that it generated – active intelligence.
Towards intelligent and empowered data-driven HR: NPA Summit 2020
Nordic People Analytics Summit — Last week, a significant event took place, not only for HR and People Analytics practitioners but also for establishing HR as a strategic part in the data-driven business. We already see that HR is progressively going through a transformation from an intuitive and gut-based department to an empowered and intelligent function that can be a true partner of the CEO.
Business
Is there room for IT on the road towards a data-driven organisation?
The IT department rose to its fame when information technology and the Internet started being widely used in the organisation back in the 1980s. The rise of the internet created many new business opportunities and laid out a new economic narrative enabling companies to be more connected than ever before, contributing to the globalisation we are still leaving in.
Why Data Management remains a challenge in the Data and AI-first era
Having a robust data management strategy and infrastructure is critical for the success of every data-driven business.
Nevertheless, data management remains a fundamental challenge to solve even as we are moving towards data-first and AI-driven organisations.
Going from passive to active analytics that compels action and engagement: Active intelligence
There is a new concept in the data analytics market that introduces the vital continuous flow of intelligence and action, based on real-time, up-to-date information and is designed to compel, to trigger action and engagements with the insights that it generated – active intelligence.
Towards intelligent and empowered data-driven HR: NPA Summit 2020
Nordic People Analytics Summit — Last week, a significant event took place, not only for HR and People Analytics practitioners but also for establishing HR as a strategic part in the data-driven business. We already see that HR is progressively going through a transformation from an intuitive and gut-based department to an empowered and intelligent function that can be a true partner of the CEO.
How COVID-19 framed the need for speed in People Analytics
Søren Kold will be presenting on How COVID-19 framed the need for speed in People Analytics at the second edition of the Nordic People Analytics Summit 2020. We had the pleasure to catch up with him on the subject of his NPA Summit presentation, as well as his views on the state of HR and people analytics.
Why does it take a crisis to drive transformation?
Now we have set foot into the fourth industrial revolution, which we all know is THE future of both the ‘what’ and ‘how’ we do businesses. Most digital strategies and roadmaps in companies are extremely ambitious (in an exciting way) and inspirational.
Prepare for the digital present of workforce: Nordic People Analytics Summit
This week on September 16th and 17th, some of the leading experts in HR and People Analytics will share and discuss how to harness data, advanced analytics and AI to maximise data-driven decision making in HR as well as boost the HR impact to the organisational bottom line.
How people analytics can redefine your Employee Experience
According to the Global Talent Trends 2020 Report published by LinkedIn, Employee Experience (EX) finds its place among the 4 top trends that are changing the way companies hire and […]
What is relational analytics and how it builds on people analytics
People are social beings and we continue our inherent social interaction in our workplace as well. We form complex networks and relationships at our workplaces that charts and excel sheets can’t capture. Therefore it’s necessary to look closely at a different type of data that can give a more accurate and realistic understanding of our employees.
People analytics: Why do people deserve analytics?
David Dadoun presented his battle-tested story and strategies to win when starting with people analytics in his comprehensive talk. He started his talk with the focus on the need for people analytics and why people in an organisation deserve analytics.
Tech
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.
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.