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.
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.
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.
All in all, 2021 will be marked by AI growth characterised by the launch of many AI applications which will deliver insights, efficiency and cost-effectiveness in the digital era. And while it’s going to continue permeating all aspects of our lives, these are areas where AI is predicted to have the biggest impact in 2021.
Implementing Master Data Management in a small company or startup and a large organisation is two completely different things.
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.
DataOps has already gotten the epithet “enterprise data management for the AI era”.
The power of data and analytics is no longer elusive, regardless of the level of business. Once far-fetched technologies like big data, advanced analytics, artificial intelligence, machine learning have captured the attention of everyone from IT professionals, data analytics, data engineers, to top-level enterprise executives.
We are marking 2020 by doing a recap series covering the stories of organisations who have spearheaded their data, AI and ML transformations, that were published this year, and left a distinct impression in the field.
It’s been several weeks since our first Speaker spotlight, and already we’ve had more marvellous speakers come onboard at the special edition of the Data 2030 Summit. T
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