Digital and transformation strategy are key direction setters for organisations, yet often take considerable time to develop and can put the IT function into limbo if there is decision inertia in the meantime. Strategy and operations can function as parallel activities to achieve organisation outcomes, rather than being perfected sequentially.
The generative AI (genAI) hype cycle is currently experiencing its trough of disillusionment, particularly in the application of retrieval augmented generation pipelines to enterprise applications. Despite numerous attempts, these systems have struggled to reduce hallucinations in output to levels acceptable for enterprise use. However, amidst this challenging period, a promising approach is emerging: the fusion of knowledge graphs into AI applications. Will it deliver?
This paper outlines the key technological developments driving changes in retrieval augmented generation (RAG). Mapping those changes on a non-linear trajectory, we predict the near future, and provide actionable recommendations for organisations to stay ahead of the curve in the rapidly evolving landscape of enterprise artificial intelligence (AI).
Unlock the secrets to successful ICT project prioritisation with a proven framework.
The Australian Government, through the Digital Transformation Agency (DTA), has issued its digital vision for 2030. How can your organisation use this strategy to best effect?
ICT policies often leave even seasoned executives uneasy, perceived as lengthy, endless compliance exercises yielding little reward beyond periodic reviews.
Unlock the potential of machine learning in your organisation. Stay ahead in the data-driven world.
Recommendations for new CIOs looking to identify business issues, select priorities and establish immediate wins
How can enterprises better meet the expectations of their Gen Z workforce? IBRS looks into the solutions.
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