Experts advise: How to turn data into insights in the AI industrialisation era
The decade of data and AI industrialisation holds great potential for organisations to see the full value of their data and AI investments. However, without a proper plan for adoption, firms can experience the detrimental consequences of resource and funding misallocation, warns Ashley Cline, VP of Sales at Cloud Interactive.
Democratising model building at ING Bank
Data science in banking may sound a bit boring. However, data scientists have had their hands full with working on some really interesting challenges that banks have been experiencing these past several years.
Data and AI Innovators – Henrik Göthberg
As we’ve entered into the data and AI industrialisation and stabilisation decade, and leaving behind us the pioneering/piloting phase, working to become Data/AI Ready is the next logical step for one data-driven enterprise.
What does digital transformation actually look like?
Worldwide spending on digital transformation projects is forecasted to hit nearly $2 trillion by 2022, but despite all the talk, what does transformation actually look like?
The false truth about everybody being data-driven
Tobias Wagenknecht, Head of Data & Analytics at Aftonbladet, a Swedish daily newspaper, will try to calm the hysteria down, and share his learnings from his data-driven journey at the Data Innovation Summit 2020. We had a chat with him before his presentation.
How Aldo Group reinvented its business processes relying on data
It can’t be stressed enough that if your company wants to do the cool stuff with data like AI, machine learning, analytics, you have to have control over your data in a form of a solid data governance framework. It’s similar to wanting to build a fancy facade on your house, but you haven’t built the foundation – practically impossible.
Data and AI Innovators – Peter Jönsson
Peter Jönsson, a Solutions Architect at Tableau Software and two-times Data Innovation Summit speaker, shares his views on the most notable breakthroughs with data analytics, as well as the current challenges decision-makers are dealing with, and his predictions for data analytics.
Do’s and don’ts in establishing an ML analytics practice
Establishing analytics in an organisation may seem like reinventing the wheel and make business leaders feeling like they’re out of their depth.
Data and AI Innovators – Amer Mohammed
Amer Mohammed is a Data Innovator with a strong impetus to lead companies on the data road and prepare them for the digital economy.
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 – Dylan Tredrea
Data Innovation Summit turns five next March. Along the way, we have had fantastic speakers unselfishly sharing their knowledge on stage with their peers. Without them, this journey would be impossible. This interview is part of an interview series dedicated to humanising Data and AI innovation and celebrating speakers who have presented on Data Innovation Summit. The emphasis lies on the Data/AI […]
Business
Experts advise: How to turn data into insights in the AI industrialisation era
The decade of data and AI industrialisation holds great potential for organisations to see the full value of their data and AI investments. However, without a proper plan for adoption, firms can experience the detrimental consequences of resource and funding misallocation, warns Ashley Cline, VP of Sales at Cloud Interactive.
Democratising model building at ING Bank
Data science in banking may sound a bit boring. However, data scientists have had their hands full with working on some really interesting challenges that banks have been experiencing these past several years.
Data and AI Innovators – Henrik Göthberg
As we’ve entered into the data and AI industrialisation and stabilisation decade, and leaving behind us the pioneering/piloting phase, working to become Data/AI Ready is the next logical step for one data-driven enterprise.
What does digital transformation actually look like?
Worldwide spending on digital transformation projects is forecasted to hit nearly $2 trillion by 2022, but despite all the talk, what does transformation actually look like?
The false truth about everybody being data-driven
Tobias Wagenknecht, Head of Data & Analytics at Aftonbladet, a Swedish daily newspaper, will try to calm the hysteria down, and share his learnings from his data-driven journey at the Data Innovation Summit 2020. We had a chat with him before his presentation.
How Aldo Group reinvented its business processes relying on data
It can’t be stressed enough that if your company wants to do the cool stuff with data like AI, machine learning, analytics, you have to have control over your data in a form of a solid data governance framework. It’s similar to wanting to build a fancy facade on your house, but you haven’t built the foundation – practically impossible.
Data and AI Innovators – Peter Jönsson
Peter Jönsson, a Solutions Architect at Tableau Software and two-times Data Innovation Summit speaker, shares his views on the most notable breakthroughs with data analytics, as well as the current challenges decision-makers are dealing with, and his predictions for data analytics.
Do’s and don’ts in establishing an ML analytics practice
Establishing analytics in an organisation may seem like reinventing the wheel and make business leaders feeling like they’re out of their depth.
Data and AI Innovators – Amer Mohammed
Amer Mohammed is a Data Innovator with a strong impetus to lead companies on the data road and prepare them for the digital economy.
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.
Tech
Experts advise: How to turn data into insights in the AI industrialisation era
The decade of data and AI industrialisation holds great potential for organisations to see the full value of their data and AI investments. However, without a proper plan for adoption, firms can experience the detrimental consequences of resource and funding misallocation, warns Ashley Cline, VP of Sales at Cloud Interactive.
Democratising model building at ING Bank
Data science in banking may sound a bit boring. However, data scientists have had their hands full with working on some really interesting challenges that banks have been experiencing these past several years.
Data and AI Innovators – Henrik Göthberg
As we’ve entered into the data and AI industrialisation and stabilisation decade, and leaving behind us the pioneering/piloting phase, working to become Data/AI Ready is the next logical step for one data-driven enterprise.
What does digital transformation actually look like?
Worldwide spending on digital transformation projects is forecasted to hit nearly $2 trillion by 2022, but despite all the talk, what does transformation actually look like?
The false truth about everybody being data-driven
Tobias Wagenknecht, Head of Data & Analytics at Aftonbladet, a Swedish daily newspaper, will try to calm the hysteria down, and share his learnings from his data-driven journey at the Data Innovation Summit 2020. We had a chat with him before his presentation.
How Aldo Group reinvented its business processes relying on data
It can’t be stressed enough that if your company wants to do the cool stuff with data like AI, machine learning, analytics, you have to have control over your data in a form of a solid data governance framework. It’s similar to wanting to build a fancy facade on your house, but you haven’t built the foundation – practically impossible.
Data and AI Innovators – Peter Jönsson
Peter Jönsson, a Solutions Architect at Tableau Software and two-times Data Innovation Summit speaker, shares his views on the most notable breakthroughs with data analytics, as well as the current challenges decision-makers are dealing with, and his predictions for data analytics.
Do’s and don’ts in establishing an ML analytics practice
Establishing analytics in an organisation may seem like reinventing the wheel and make business leaders feeling like they’re out of their depth.
Data and AI Innovators – Amer Mohammed
Amer Mohammed is a Data Innovator with a strong impetus to lead companies on the data road and prepare them for the digital economy.
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.