INDEPENDENT RESEARCH / PRACTICE NOTES
This is my working notebook on AI engineering, strategy, knowledge infrastructure, organizational transformation, and the human systems that determine whether innovation becomes real capability.
The notes range from emerging research questions to practical operating models. Some will become papers, tools, talks, or products. Others are here because thinking improves when it is made visible.
The Intelligence Community (IC) has been unstinting in embracing and assimilating artificial intelligence (AI) and machine learning (ML) into their operations. The benefits of applying AI/ML to the overwhelming volume of data the IC handles is undeniable.
NVIDIA, a leader in the realm of artificial intelligence (AI) and chip making, achieved an impressive stock market valuation of $2 trillion recently, highlighting the ongoing boom in the AI marketplace.
Noted by the Federal News Network, Senator Mark Warner has underlined the necessity for firm regulations and standards to ensure the safe and credible development and implementation of Artificial Intelligence (AI) technologies. The absence of such guidelines, he cautioned, could cause risk to federal initiatives.
A recent report by Ernst & Young (EY) indicates that most federal IT decision-makers and influencers rely on internal data repositories for training artificial intelligence (AI) models. Specifically, 58% of federal respondents look to these resources as the main source for their AI training data.
The newly issued executive order (EO) on Artificial Intelligence (AI) offers federal agencies concrete guidelines and guardrails to mitigate potential risks linked with AI adoption. This move sets imperative goals that are time-bound.
The U.S. Department of State and the National Institutes of Health (NIH) are increasingly embracing artificial intelligence (AI) tools to expedite data-derived insights. Both agencies see AI as a ‘force multiplier’ in their respective missions.
The Law Enforcement Subcommittee of the National AI Advisory Committee has unanimously voted in favour of amending the CIO Council’s recommendations on managing sensitive use cases and common commercial product exclusions. The aim of these recommendations is to ensure more comprehensive inventories from federal law enforcement agencies.
In a significant and forward-thinking move, the Department of Defense (DoD) unveiled its data, analytics, and AI adoption strategy in November 2023. As intended, the strategy aims at fast-tracking the DoD’s incorporation of AI and increasing the speed of decision-making on the battlefield. In its next steps towards realizing this strategy, the DoD is prioritizing quality data alongside other systemic initiatives.