KUALA LUMPUR, June 22: The heart of successful Artificial Intelligence (AI) adoption is data, says IBM.
But the world’s largest industrial research organisation says it isn’t enough to simply collect and store large volumes of data.
This is because businesses need to seamlessly and securely access, govern and use this data to drive digital transformation, IBM said in a statement.
And various organisations have had challenges with data management due to the myriad of software solutions run by various departments – and more so spread across public clouds, private clouds, on-premises workloads and servers, it added.
While some organisations have tried to manage this complexity by migrating their data to a central repository, the reality is that the copy and paste model of data management is an inefficient and costly process,” said IBM Malaysia Managing Director and Technology Leader Catherine Lian.
To address these challenges, she said IBM has introduced a new approach called a “data fabric” strategy. A data fabric framework is a unified approach to data management that seamlessly integrates diverse data sources and formats. It breaks down data silos, enabling organisations to access and analyse data from various locations in real-time.
Meanwhile, IBM says more companies in Malaysia are exploring and integrating generative Artificial Intelligence (AI) into their business operations.
According to a study by IBM’s Institute for Business Value, over 40 per cent of ICT professionals reported that their organisations are actively exploring the use of generative AI to drive business growth.
Lian said the Malaysian government should be commended for positioning the country as a regional leader in the field of AI through the Malaysia Artificial Intelligence Roadmap 2021-2025 (AI-Rmap) and Malaysian Digital Economy Blueprint (MDEB).