How We Think

We can identify exponential technology as technologies that double, or deliver an exponential increase, in performance or speed each year. In the past few years, we have seen many emerging technologies (some of which also fit into the category of exponential technology) make strides in the corporate world in an effort to improve business performance, customer service and more. But what happens when a group of these exponential technologies come together?

There is no shortage of opportunities for artificial intelligence (AI) and machine learning (ML). Still, we need to stop thinking of them only as tools for automation, operational uplifts and efficiency gain. There are opportunities that extend beyond the day-to-day, explore new ground, and open up areas that are not obvious, yet deliver significant value and benefit. These opportunities can be found in almost every industry, and by way of example, there have been exciting advances in AI and ML supporting mental health in the military.

First published in the LexisNexis Privacy Law Bulletin issue 2024 20(10), the article was (less whimsically) entitled "Expansion of Data-Subject-Access-Request (DSAR) Rights Under the Privacy Reforms." The article examines how lawyers and privacy practitioners may be able to rely on a concept from Freedom-of-Information (FOI) law (unreasonableness) to guide them in advising on practical strategies to manage expanded DSAR rights under Australia's privacy reforms.

The strength of generative AI is in practical applications that significantly augment workflow processes. These use cases, often found in operations, service delivery and compliance, save time and drive cost savings by freeing staff for higher-value creative work and quickly inform the complex decisions organisations must make.

Do you understand your end-to-end suppy chain and have a comprehensive roadmap on how it hangs together? Are you aware of the impact that a struggling supply chain has on the procurement process and the achievement of value for money?

Data Governance in sport is a bit like the Wild West, where entrepreneurs sign 'prospects' up to contracts that are light on detail - and tend to be even lighter on legalities. And I'm a case in point.  One sporting contract I signed gave me very little ability to negotiate or amend the terms, but it gave the other party virtually unlimited rights to record collect, transmit, measure, use, modify, and alter any information related to my training and race data. This included, but was not limited to heart rate, calorie intake, power output, velocity, cadence, and location data. In the sporting world, this is referred to as "performance data".