Artificial Intelligence (AI) and Machine Learning (ML) Automated Data Governance
The advancements in AI technology are already making a significant impact on data management, enabling the management of data more efficiently and effectively than ever before.
“The Doctor Will Compute You Now” The Promise of AI in Healthcare and Medicine
Enter a world of healthcare where illnesses are diagnosed by machines, medical outcomes are predicted by computers, and data saves lives. With the ever-evolving presence of AI, healthcare is no longer bound by the constraints of human intelligence and decision-making.
10 Reasons Your Data Literacy Program Will Fail...And What To Do About It
10 Reasons Your Data Literacy Program Will Fail... And What To Do About It
ONE. Taking the culture factor lightly. Multiple studies including those from HBR and Gartner point to the cornerstone nature of the people dynamic.
IS IT TIME TO REMEDIATE CLOUD? Three ways financial services can reap the benefits
Cloud is moving from being the platform on which a business runs to the product of the business. Much of the value inherent in a company’s operations can now be delivered in the form of a cloud service, rather than packaged into the kind of products and services organizations have traditionally sold.
Data Literacy as a key driver for business success
Data literacy should not be considered in isolation. If you are not having conversations about strategy, data value, data health, data maturity, analytics capability, data asset management, value creation, innovation et cetera alongside data literacy, you should strongly reconsider why data literacy is on your radar!
Data Quality: The elephant in the (board) room
Syed Gaffar, Data Architecture and Governance Head at Neom, a Saudi Arabian smart city megaproject, joins us for a chat around the major challenges facing modern data leaders.
Modernizing Data Management Through AI & ML
Recently, most businesses have broadly proclaimed their intentions of being data-led, data-driven or data-centric, often with limited delivery timelines. Some even forged ahead with procuring expensive technologies to which they were assured will ‘embed timely, contextual insights in their daily business operations, with absolutely no effort required from them’. Absurd as it sounds, this is the reality that most businesses are confronted with, some with dire damages to deal with. The question that most rational individuals are probably asking themselves is why such situations were permitted from the onset.
