Where AI has reached human parity: A glance at Microsoft use cases
Examples, where AI complements and even extends human capabilities, are multiple. Notably, Microsoft AI has reached human parity, i.e. become as good as a human in many aspects.
The Data Innovation Summit: 5 years of data and analytics journey (2016)
This year 2020 we have a reason at Hyperight to be truly proud and excited to host the 5th edition of the Data Innovation Summit that is yet to come in August, as most of our followers would have heard by now. Time and time again, we have been proven that old adage that when we make plans, the Gods laugh. And […]
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.
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.
Innovation in times of a pandemic: How to leverage the corona effect
Just recently, we discussed how the coronavirus outbreak affected organisations and the global economy. We connected its emergence to a black swan event – a rare event that can’t be found in our data, but when it emerges, it causes catastrophic consequences. This analogy encouraged an engaging discussion related to whether such pandemic of global scale can be pinned down as a […]
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.
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.
Everyday AI work at Swedbank that solves current banking challenges
One of the industries where AI has found vast application is in banking. Banks have discovered some really valuable AI use cases: fraud prevention and fraud detection, credit underwriting decisions, customer service automation via chatbots, risk management, decreasing manual workload, and so on.
Can we ensure ethical and trustworthy artificial intelligence?
Patrick van der Smagt, Head of AI Research at Volkswagen Group, will elaborate on these and related questions during his Keynote presentation on Ethical and Trustworthy Artificial and Machine Intelligence at the Data Innovation Summit 2020. In this interview with Patrick, we scratch the surface of the profound topic of ethical and trustworthy AI.
AI and data-driven design in digital media services
Iiris Lahti, former Development Director – Data Utilization at Sanoma Media Finland will introducing the learnings and best practices of how to utilize data and machine learning in designing digital media services, content, marketing and better customer experiences.
Data and AI Innovators – Errol Koolmeister
Errol Koolmeister, Head of AI Tech & Architecture at H&MXAI, talks about the changes with AI and data analytics as well as the future of the retail industry.
Business
Where AI has reached human parity: A glance at Microsoft use cases
Examples, where AI complements and even extends human capabilities, are multiple. Notably, Microsoft AI has reached human parity, i.e. become as good as a human in many aspects.
The Data Innovation Summit: 5 years of data and analytics journey (2016)
This year 2020 we have a reason at Hyperight to be truly proud and excited to host the 5th edition of the Data Innovation Summit that is yet to come […]
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.
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.
Innovation in times of a pandemic: How to leverage the corona effect
Just recently, we discussed how the coronavirus outbreak affected organisations and the global economy. We connected its emergence to a black swan event – a rare event that can’t be […]
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.
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.
Everyday AI work at Swedbank that solves current banking challenges
One of the industries where AI has found vast application is in banking. Banks have discovered some really valuable AI use cases: fraud prevention and fraud detection, credit underwriting decisions, customer service automation via chatbots, risk management, decreasing manual workload, and so on.
Can we ensure ethical and trustworthy artificial intelligence?
Patrick van der Smagt, Head of AI Research at Volkswagen Group, will elaborate on these and related questions during his Keynote presentation on Ethical and Trustworthy Artificial and Machine Intelligence at the Data Innovation Summit 2020. In this interview with Patrick, we scratch the surface of the profound topic of ethical and trustworthy AI.
AI and data-driven design in digital media services
Iiris Lahti, former Development Director – Data Utilization at Sanoma Media Finland will introducing the learnings and best practices of how to utilize data and machine learning in designing digital media services, content, marketing and better customer experiences.
Tech
Where AI has reached human parity: A glance at Microsoft use cases
Examples, where AI complements and even extends human capabilities, are multiple. Notably, Microsoft AI has reached human parity, i.e. become as good as a human in many aspects.
The Data Innovation Summit: 5 years of data and analytics journey (2016)
This year 2020 we have a reason at Hyperight to be truly proud and excited to host the 5th edition of the Data Innovation Summit that is yet to come […]
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.
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.
Innovation in times of a pandemic: How to leverage the corona effect
Just recently, we discussed how the coronavirus outbreak affected organisations and the global economy. We connected its emergence to a black swan event – a rare event that can’t be […]
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.
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.
Everyday AI work at Swedbank that solves current banking challenges
One of the industries where AI has found vast application is in banking. Banks have discovered some really valuable AI use cases: fraud prevention and fraud detection, credit underwriting decisions, customer service automation via chatbots, risk management, decreasing manual workload, and so on.
Can we ensure ethical and trustworthy artificial intelligence?
Patrick van der Smagt, Head of AI Research at Volkswagen Group, will elaborate on these and related questions during his Keynote presentation on Ethical and Trustworthy Artificial and Machine Intelligence at the Data Innovation Summit 2020. In this interview with Patrick, we scratch the surface of the profound topic of ethical and trustworthy AI.
AI and data-driven design in digital media services
Iiris Lahti, former Development Director – Data Utilization at Sanoma Media Finland will introducing the learnings and best practices of how to utilize data and machine learning in designing digital media services, content, marketing and better customer experiences.