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 comprehensive data strategy is essential for any organisation in the digital era.
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.
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.
Kaveh Djavaherian Head of Global Cloud & Hosting at Electrolux shares learnings from executing cloud strategies and infrastructure management.
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.
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.
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.
Implementing Master Data Management in a small company or startup and a large organisation is two completely different things.
DataOps has already gotten the epithet “enterprise data management for the AI era”.
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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