How AI is enabling new frontiers in space exploration at NASA
In order to appreciate the great success of NASA and humanity, we are again exploring the topic, but with a more in-depth perspective. As an AI Research Scientist at NASA Jet Propulsion Laboratory, Shreyansh introduced us to the evolution of autonomous robots for space exploration with AI and ML, challenges and solutions to training deep learning models in the Martian environment, and lessons and future AI-powered exploration.
Explainable AI: Do we trust AI enough to make decisions for us?
As more business decisions are influenced by AI, it opens numerous questions and requirements for greater oversight, transparency and ethics in how those decisions are made — leading to rising demand for explainable AI or XAI.
How to build people analytics with a “crystal clear” business impact: Swarovski
To provide a practical solution to build up people analytics step by step to have a business impact, Oliver Kasperguided us through the process of setting up the functions and the dimensions that make up their people analytics strategy at Swarovski, at the Nordic People Analytics Summit 2020.
A revolutionary model that generates images from text: OpenAI’s ‘DALL·E’
This year promises to be really fruitful for AI if the latest image-generating model released by OpenAI – DALL·E is any indication. OpenAI released DALL·E only 5 days into the New Year.
How to unleash the robust of a data strategy: Interview with Mohamed Ashraf Ghazala
A comprehensive data strategy is essential for any organisation in the digital era.
A glance into KONE’s data platform journey: Interview with Aija Palomäki
Any company that wants to do analytics, artificial intelligence, machine learning or digitalisation, first must have their data foundations in place. This a straightforward premise, however too many businesses get stuck on their data platform journey.
Is Data Mesh right for your organisation?
A Data Mesh incarnation is a data platform and lake that has been split up into multiple ponds and multiple processing environments, controlled and operated by different teams.
What I’ve learnt from cloudifying Electrolux: Interview with Kaveh Djavaherian
Kaveh Djavaherian Head of Global Cloud & Hosting at Electrolux shares learnings from executing cloud strategies and infrastructure management.
What is Data Mesh? And should you mesh it up too?
Data Mesh is one of the hottest topics in data analytics at the moment. It has found its way into the trends that are predicted to disrupt and dominate the data market in 2021.
Data management trends that experts forecast for 2021 and beyond
Eager to learn more about the developments in data management that we can expect in the new year and beyond, we’ve invited some of the Data 2030 Summit speakers to share how they see specific data management components developing in the near future. Here is a roundup of experts’ data management predictions for 2021 and beyond.
Ingrain fact-based decision making into your company DNA: Interview with Laila Kakar
We’ll hear Laila Kakar at the Data 2030 Summit in her session on How to measure the unmeasurable – translating SMART data into insights, where she’ll tell you more about how to start making fact-based decisions and how machine learning can support you in your decisions. Laila shared some success points on how data and facts can really make a difference in your business.
Business
Explainable AI: Do we trust AI enough to make decisions for us?
As more business decisions are influenced by AI, it opens numerous questions and requirements for greater oversight, transparency and ethics in how those decisions are made — leading to rising demand for explainable AI or XAI.
How to build people analytics with a “crystal clear” business impact: Swarovski
To provide a practical solution to build up people analytics step by step to have a business impact, Oliver Kasperguided us through the process of setting up the functions and the dimensions that make up their people analytics strategy at Swarovski, at the Nordic People Analytics Summit 2020.
How to unleash the robust of a data strategy: Interview with Mohamed Ashraf Ghazala
A comprehensive data strategy is essential for any organisation in the digital era.
A glance into KONE’s data platform journey: Interview with Aija Palomäki
Any company that wants to do analytics, artificial intelligence, machine learning or digitalisation, first must have their data foundations in place. This a straightforward premise, however too many businesses get stuck on their data platform journey.
Is Data Mesh right for your organisation?
A Data Mesh incarnation is a data platform and lake that has been split up into multiple ponds and multiple processing environments, controlled and operated by different teams.
What I’ve learnt from cloudifying Electrolux: Interview with Kaveh Djavaherian
Kaveh Djavaherian Head of Global Cloud & Hosting at Electrolux shares learnings from executing cloud strategies and infrastructure management.
Data management trends that experts forecast for 2021 and beyond
Eager to learn more about the developments in data management that we can expect in the new year and beyond, we’ve invited some of the Data 2030 Summit speakers to share how they see specific data management components developing in the near future. Here is a roundup of experts’ data management predictions for 2021 and beyond.
Ingrain fact-based decision making into your company DNA: Interview with Laila Kakar
We’ll hear Laila Kakar at the Data 2030 Summit in her session on How to measure the unmeasurable – translating SMART data into insights, where she’ll tell you more about how to start making fact-based decisions and how machine learning can support you in your decisions. Laila shared some success points on how data and facts can really make a difference in your business.
AI use cases that will advance the industries in 2021
Although AI tools are being applied in nearly all industries to a greater or lesser extent, below are the domains that will stand out in terms of putting AI to use in their operations on a global scale.
Read 2020 recap: The ever-growing importance of HR & People Analytics
This year, Hyperight Read featured some great case studies and pieces on the most progressive companies in this domain, which have demonstrated that Human Resources is a strategic function that can improve business performance and influence decisions based on workforce data analytics. These are some of the HR & People Analytics stories that marked 2020.
Tech
How AI is enabling new frontiers in space exploration at NASA
In order to appreciate the great success of NASA and humanity, we are again exploring the topic, but with a more in-depth perspective. As an AI Research Scientist at NASA Jet Propulsion Laboratory, Shreyansh introduced us to the evolution of autonomous robots for space exploration with AI and ML, challenges and solutions to training deep learning models in the Martian environment, and lessons and future AI-powered exploration.
A revolutionary model that generates images from text: OpenAI’s ‘DALL·E’
This year promises to be really fruitful for AI if the latest image-generating model released by OpenAI – DALL·E is any indication. OpenAI released DALL·E only 5 days into the New Year.
What is Data Mesh? And should you mesh it up too?
Data Mesh is one of the hottest topics in data analytics at the moment. It has found its way into the trends that are predicted to disrupt and dominate the data market in 2021.
DataOps is the backbone of AI innovation: Interview with Lars Albertsson
They say great ideas are born out of necessity. The data & analytics field is no exception. Although DataOps is seen as a fairly new and disruptive methodology, leaders in data and AI pioneered in finding more efficient, agile and easier ways of designing data pipelines long before it was incarnated into a defined concept.
Choosing a DLP solution: A guided plan
Data loss prevention (DLP) may be an unfamiliar term, even to business leaders working hard to follow cybersecurity best practices. In this blog post, we’re giving you a primer on why DLP is a massive undertaking for even the best IT teams, and why an automated solution is the best way to protect your business-critical data.
Delving into the true purpose of DataOps: Interview with Andrea Piro
Enterprise AI and algorithmic processes require perfect synchronisation and agility. This is where DataOps comes in the picture – as a single point of contact when something goes out of sync.
Read 2020 recap: Predictive maintenance and analytics
Initially slower to catch up with the data-driven transformation, the heavy-asset industry has certainly accelerated the adoption of predictive analytics systems that provide multiple maintenance advantages such as fewer outages and breakdowns, extended lifecycle of the assets and equipment, better plant safety, and enhance the overall quality of operations and supply chain processes.
Data 2030 Summit DataOps talks you can’t miss
DataOps is enterprise data management for the AI era. It’s one of the fundamental pillars of a modern data management strategy.
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.
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.