The highlights of the second Data Innovation Summit Conference day: F1, H&M, Spotify, NASA, Starbucks, Airbnb, Zynga and more
We just wrapped up Conference Day 2 and the last day of the Data Innovation Summit 2020 – the biggest online Data & AI spectacle of the year. We’ve had an incomparable experience together with all the delegates, speakers and partners taking part in a fantastic collection of keynote presentations, deep-dive analysis, interactive discussion groups, panel debates, case studies and success stories of the most innovative companies in the world.
The highlights of the first Data Innovation Summit Conference day: LEGO, Uber, Facebook, Google, Netflix, eBay, Coca Cola and more
It has been an awesome day for everyone that attended the first presentation day of the Online Data Innovation Summit would agree. We had a super immersive and one-of-a-kind experience listening to some of the biggest names in the industry share their data and analytics stories.
The winning formula for a successful DataOps implementation
Artis Taylor, Manager IT at FedEx Logistics will be presenting on this topic in his presentation on Enabling DataOps in the Cloud at the Data Innovation Summit, where he will elaborate on DataOps implementation as the journey to the cloud. We talked to Artis to get more information before his session.
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.
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.
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.
How Klarna personalises the checkout experience with data and ML
We are going to see Klarna’s story from an engineer’s and data scientist’s point of view, where first we look into their data organisation and structure, and later we’ll devote the white space to their machine learning models for superb purchase experience.
Data and AI Innovators – Fredrik Backner
The telco and the retail industry have much more in common in terms of data and analytics than you would think.
The person who brings together these two worlds and can give an insightful overview of the two industries is Fredrik Backner, a speaker at Data Innovation Summit 2019.
Data and AI Innovators – Robert Luciani
Robert Luciani, a passionate computer engineer, can attest about how the technology of data science has evolved during the latest years.
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.
Business
The highlights of the second Data Innovation Summit Conference day: F1, H&M, Spotify, NASA, Starbucks, Airbnb, Zynga and more
We just wrapped up Conference Day 2 and the last day of the Data Innovation Summit 2020 – the biggest online Data & AI spectacle of the year. We’ve had an incomparable experience together with all the delegates, speakers and partners taking part in a fantastic collection of keynote presentations, deep-dive analysis, interactive discussion groups, panel debates, case studies and success stories of the most innovative companies in the world.
The highlights of the first Data Innovation Summit Conference day: LEGO, Uber, Facebook, Google, Netflix, eBay, Coca Cola and more
It has been an awesome day for everyone that attended the first presentation day of the Online Data Innovation Summit would agree. We had a super immersive and one-of-a-kind experience listening to some of the biggest names in the industry share their data and analytics stories.
The winning formula for a successful DataOps implementation
Artis Taylor, Manager IT at FedEx Logistics will be presenting on this topic in his presentation on Enabling DataOps in the Cloud at the Data Innovation Summit, where he will elaborate on DataOps implementation as the journey to the cloud. We talked to Artis to get more information before his session.
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.
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.
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.
How Klarna personalises the checkout experience with data and ML
We are going to see Klarna’s story from an engineer’s and data scientist’s point of view, where first we look into their data organisation and structure, and later we’ll devote the white space to their machine learning models for superb purchase experience.
Data and AI Innovators – Fredrik Backner
The telco and the retail industry have much more in common in terms of data and analytics than you would think.
The person who brings together these two worlds and can give an insightful overview of the two industries is Fredrik Backner, a speaker at Data Innovation Summit 2019.
Data and AI Innovators – Robert Luciani
Robert Luciani, a passionate computer engineer, can attest about how the technology of data science has evolved during the latest years.
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.
Tech
The highlights of the second Data Innovation Summit Conference day: F1, H&M, Spotify, NASA, Starbucks, Airbnb, Zynga and more
We just wrapped up Conference Day 2 and the last day of the Data Innovation Summit 2020 – the biggest online Data & AI spectacle of the year. We’ve had an incomparable experience together with all the delegates, speakers and partners taking part in a fantastic collection of keynote presentations, deep-dive analysis, interactive discussion groups, panel debates, case studies and success stories of the most innovative companies in the world.
The highlights of the first Data Innovation Summit Conference day: LEGO, Uber, Facebook, Google, Netflix, eBay, Coca Cola and more
It has been an awesome day for everyone that attended the first presentation day of the Online Data Innovation Summit would agree. We had a super immersive and one-of-a-kind experience listening to some of the biggest names in the industry share their data and analytics stories.
The winning formula for a successful DataOps implementation
Artis Taylor, Manager IT at FedEx Logistics will be presenting on this topic in his presentation on Enabling DataOps in the Cloud at the Data Innovation Summit, where he will elaborate on DataOps implementation as the journey to the cloud. We talked to Artis to get more information before his session.
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.
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.
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.
How Klarna personalises the checkout experience with data and ML
We are going to see Klarna’s story from an engineer’s and data scientist’s point of view, where first we look into their data organisation and structure, and later we’ll devote the white space to their machine learning models for superb purchase experience.
Data and AI Innovators – Fredrik Backner
The telco and the retail industry have much more in common in terms of data and analytics than you would think.
The person who brings together these two worlds and can give an insightful overview of the two industries is Fredrik Backner, a speaker at Data Innovation Summit 2019.
Data and AI Innovators – Robert Luciani
Robert Luciani, a passionate computer engineer, can attest about how the technology of data science has evolved during the latest years.
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.