Apple has delayed approval of an email-app update with AI-powered language tools (#ChatGPT), concerned with insufficient measures to prevent the AI from generating content inappropriate for children. The app can raise the age restriction to 17 and older or include content filtering. From a #technologygovernance perspective, and we're simplifying here - Apple is not taking responsibility for the AI generating inappropriate content for that application class. In the example case, OpenAI (presently) does not own the risk for everyone. Hence the onus is on the app provider to mitigate the #risk of inappropriate content for children. The options are to run your own generative #AI / large language model (#LLM) / ~ChatGPT~ (something that is becoming easier) or employ another robot to watch over the generated content (that is, outsource the risk, not that there's a rich market of such providers yet). Calculating a path for success today and tomorrow is non-trivial.

Technical challenges & technology markets have always shaped #HPC. Once the investment in HPC, typically to address a #grandchallenge and funded by governments, created the technologies all other areas of computing used. The community has a long history of leading the show. However, recent investment in #clouds, #smartphones, consumable #AI, etc., far surpasses any investment into grand challenges. Consequently, the cost and place of engineering large and novel systems, including HPC, has genuinely shifted away from governments. Daniel Reed, Dennis Gannon and Jack Dongarra provide a roadmap for a continued leadership role. They are asking the HPC community to continue to partner and #codesign with the research community and the chip & HPC vendors. They are asking the community to also partner and codesign with the innovative private sector (including cloud, smartphone, AI, etc. companies). Additionally, they are asking the community to partner internationally, just like other major scientific equipment. We wholeheartedly agree and look forward to the thought leadership required to re-think partnerships and research's role in technology.

Monash University's Smart Energy City project was a living laboratory for innovative digital technology experiments, including advanced grid stability management, optimised virtual power plants, and the democratised prosumer in society (e.g. peer-to-peer energy trading transactions). Its climate change ambition challenges traditional organisational boundaries and operational roles. Check out their page. For example, optimal decarbonisation of a campus requires a transition from capturing data for today's operations to warehousing all energy-related technology data from buildings, suppliers and devices. And doing so, de-risking the cost of future decarbonisation innovation. As an early customer, they engaged prior to establishing the Innate Innovation brand, trading as consultants through Monash University. Our advice led to literacy uplift, incentivising organisation-wide collaboration and establishing a culture for data governance. Our advice also led to quantifiable measures for data protection & value throughout the experiments, enabling investment and decision-making.

Until recently, the CPU conducted most of the work done by a computer. Increasingly, specialised chips perform targeted tasks safer, cheaper and faster. Nvidia, a technology provider, wanted to know the role Data Processing Units (DPUs) play in cybersecurity risk mitigation when applied to customers who collaborate widely and are compute-intensive (e.g. they utilise AI at scale). As an early customer, they engaged prior to establishing the Innate Innovation brand, trading as consultants through Monash University. Our role was to facilitate strategic deployment of scarce pre-general-availability equipment to test key selling points and explore the market. See the Nvidia press release. Innate Innovation discovered Nvidia's customers are heroes needing halos to provide ever-increasing levels of cybersecurity, data protection & other priorities of the social consciousness. However, these protections risk increasing workforce effort or overly consuming the customer's compute-intensive resources. Hence customers face an increasing complexity of increasing protections whilst also maintaining workforce productivity, satisfaction, and, thus, workforce retention. DPUs offer a technical basis to mitigate all these risks. However, the challenge becomes acquiring the experience, intuition and leadership to holistically implement this novel technology for business needs (systems integration of the highly innovative). To test this data governance narrative, we facilitated and oversaw the safe experimentation of DPUs in real-world settings using early ports of well-known cybersecurity tools and bespoke data protections coded using Nvidia's APIs. Arik Rostal, Global head of Business Development Cybersecurity, NVIDIA "Forward thinking and innovative. Steve Quenette (founder and principal) is constantly researching and exploring ways to leverage leading technologies to tackle today’s business challenges. He was one of the first to understand and apply our revolutionary DPU technology to perform cybersecurity on advanced applications."

The Monash eResearch Centre (MeRC) is a managed service provider and broker for compute-intensive workloads (e.g. AI, simulation and analysis) & hosting of enduring data. However, it is in perpetual need of modernisation, responding to research-driven technologies and corporate risk mitigation. It also relies on a niche and talented workforce in constant demand. Check out their page. As an early customer, they engaged prior to establishing the Innate Innovation brand, trading as consultants through Monash University. Modernising MeRC's go-to-market was a complex journey of identifying and resolving cultural tensions. Innate Innovation's go-to-market strategies led to a systemic uplift in data governance (known ownership, retention, disposal and sensitivity) for hundreds of grant-winning researchers. Our strategy helped the workforce safely deliver digital capabilities to collaborators at scale. It supported customers scaling to compute-intensive resources (HPC and clouds). It introduced FinOps leading to transparency and accountability of resource consumption. Collectively these strategies enable higher-value Innovation, cybersecurity, data protection, technology sovereignty and cost efficiencies. However, a priority was also to improve workforce sentiment and, thus, talent attraction & retention. In return, the centre's customers are early adopters of compute-intensive methods (such as AI) and data protection through safe havens. Professor Paul Bonnington, former Director Monash eResearch "The strategic advice, executive leadership and purposeful cultural alignment of staff and researchers meant we could adapt our offerings to address the growing concerns of society, whilst also growing staff and customer satisfaction"