AI Top-of-Mind for 6.5.24 — Use Cases
Top-of-mind, and building on yesterday’s McKinsey coverage, another piece of research, this time taking a broader view on AI adoption and benefits. From the article:
Where is this adoption taking place? If you are looking for good AI use cases, Elaine Lu in ‘Towards Data Science’ offers the following:
Searching for use cases where AI performs exceptionally well doesn’t work. It ignores AI’s inherently probabilistic qualities. Instead, searching for use cases with moderate AI performance, will deliver immediate value with lower risk.
She lists five areas of particular interest: sensor fusion, generative AI, natural language processing, computer vision, and autonomous robots. She also references Google’s ‘drunk island’ metaphor from a few years back, in case you’ve not heard of it.
As a follow-up on content licensing and copyrights, some good analysis by CB Insights on OpenAI’s moves. They’ve been busy! Others in this space are striking the same types of partnerships.
Turning back to the Stanford AI Index Report, this time focusing on science and medicine. One takeaway:
Over the past few years, AI systems have shown remarkable improvement on the MedQA benchmark, a key test for assessing AI’s clinical knowledge. The standout model of 2023, GPT-4 Medprompt, reached an accuracy rate of 90.2%, marking a 22.6 percentage point increase from the highest score in 2022. Since the benchmark’s introduction in 2019, AI performance on MedQA has nearly tripled.
A look at ‘Synbot,’ a robotic chemist for synthesizing organic molecules:
And the tide of approved AI-augmented medical devices:
A few posts from the marketing side. The first is Meta updating its Feeds and Reels ranking with AI. From the ‘Mobile Marketing’ article:
· In a statement, Meta said: “Our vision for Facebook is simple: Facebook is for social discovery that opens your world in big and small ways.
· “We’ve always been social, and we’ve always helped people discover things, but the way that people want to do this is changing, so we’re evolving our product accordingly.”
· It added: “As we think about the next 20 years, we’re focused on two big things: building the next generation of social media for young adults and leaning into new product capabilities enabled by AI.”
Next is ‘SmartBrief’ on AI-powered SEO. The article details some of the available tools and outlines benefits that include increased efficiency, deeper content insights, personalized optimization, and predictive analytics. But cautions outlined include duplicate content and ethical considerations, and not forgetting that success relies on creativity, UX design, and an understanding of human behavior, areas where AI still falls short.
Then, ‘Hubspot’ on how AI can improve small business marketing. The company offers twelve ways it can help such as automating campaigns, conducting research, audience behavior prediction, or social media management.
Lastly, and closer to home, a novel use of AI by Caltrans. The ‘Mercury News’ reports on a pilot project to try to understand the sources of congestion and how to better head it off. From the article:
· Why does I-80 always clog right before University Avenue in Berkeley on Saturday afternoons? What’s causing the nighttime crashes on I-280 from Meridian Avenue to McLaughlin Avenue in San Jose? And what’s the reason I-5 near Del Paso Road in Sacramento continually ranks as one of the most dangerous stretches of highway in the state?
· Caltrans says the sheer volume of data generated from traffic sensors and cameras — coupled with the continuous velocity of data generation and the variety of videos, images, log files, third-party data streams and guidance — poses significant challenges for human beings to digest and utilize.
· The companies developing the GenAI tools for Caltrans will use technologies developed by OpenAI as well as Google- and Amazon-backed Anthropic.
