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
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
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.