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Nearly half (44%) of IT leaders surveyed believe their organizations are fully set up to realize the benefits of AI, according to a global research report commissioned by Hewlett Packard Enterprise. However, the report reveals critical gaps in their strategies, such as lack of alignment between processes and metrics, resulting in consequential fragmentation in approach, which will further exacerbate delivery issues.

The last couple of years has seen many organisations around the world establishing executive-level Chief Data Officers (CDO).  In making those appointments, perhaps those organisations are realising (finally) that their decades-long preoccupation with technology, at the expense of their data, has left them with significant ‘data-debt’?  And further, that data-debt is having a drag-effect, a negative impact on their plans to join the digital transformation wave sweeping the planet.

In 2024, data management looks a little different than it has in the past. This is largely because generative AI has brought with it new possibilities. However, as with most new opportunities, it has come with new challenges. Two data security experts to share their thoughts on the most important things every organisation needs to know when it comes to getting your data in order in the age of generative AI. 

Appian has announced the latest version of the Appian Platform, introducing Process HQ, a combination of process mining and enterprise AI unified with the Appian data fabric. It has also announced the Asia-Pac winners of the 2024 Appian Innovation Awards, Mortgage fund RBML and the NSW Office of the Director of Public Prosecutions (ODPP).

A survey on Generative AI Professional Usage and Perception Survey has found that 37 percent of Professionals claim to save 5 to 10 hours a Week.

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