To truly harness the transformative power of artificial intelligence (AI), enterprises must shift their focus from standalone AI applications to comprehensive AI systems that are deeply integrated into their existing workflows and processes.
After nearly two years of hype, speculation, use case analysis, pilots, and scaling deployments, generative artificial intelligence in the enterprise has some results to show for the multi-billion dollar investments made by the big tech vendors. Explore success stories and key lessons from Australian enterprises.
Better aligning service delivery with customer expectations, digitising services and migrating customers to the online channel are central for organisations wishing to decrease service delivery costs, improve customer access to services and improve staff satisfaction and confidence in delivering services.
The notion of data mesh is highly appealing, as business stakeholders desire ready access to data for analytics. In their eyes, they own the data and should have easy access in a manner that avoids the delays of a centralised data management approach. However, many organisations are buying into a simplistic and unworkable definition of data mesh, often treating the concept as a technology solution, rather than a governance philosophy. IBRS discusses the role of data mesh in organisations and how data analytics teams must function.
Misconceptions about data management risk leakage and theft of enterprises’ highly sensitive information. What are the false beliefs that jeopardise organisational information security?
Organisations need to address their data management capabilities and limitations to better manage making the right information available to the right people. In this advisory paper, IBRS discusses key trends that offer the best opportunities for enterprises to adopt information management (IM) practices in the workplace.
Artificial intelligence (AI) is an emerging technology that can be applied across business lines and yield significant results when aligned with business priorities. Assessing the AI maturity of your organisation can assist in providing AI roadmaps and aid in developing strategies and business cases.
Data is a big topic, and your organisation should understand the necessary business processes for analytics. Discover how to maintain a successful data journey, and don’t overlook the importance of analytics.
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