"My advice: Jump headfirst into AI with everything you’ve got."
Is your organization more like a jellyfish or a flatworm?The author's "Jellyfish and Flatworm story has been remarkably effective at helping ... [executives] visualize the impact of AI on their customers, their products, and their employees... this story is about why Knowledge Representation (KR) must be the core of any cost-effective lo…
insights into the complex relationship between AI and knowledge work, emphasizing the need for a nuanced understanding of AI's role in enhancing productivity and quality in different task domains - Harpa
"effectively deploying these capabilities for our organization... build skills, processes, and structures to effectively leverage these tools’ advantages:"identify processes benefiting from LLMs (content)implement processes to ensure content accuracy, security"identify roles that will be displaced and identify upskilling" requi…
"But all good comes with new risks. With conversational AI, this includes data leakage, IP ownership conflicts and reproducibility requirements. Team members must be aware ... how and when to use it and the corporate policies around appropriate use... key questions your organization should be asking:"what can(not) you ask an AI tool?how …
"forecasting the future is a complex and absolutely critical job. So how do you do it—and what comes next?"Fascinating series of short interviews with futurists. Some selected quotes:"When it comes to the future, you have two choices: ... build a great big wall to keep out all the bad news. Or you can build windmills and harness the…
Analysing the impact of cultural diversity on corporate performance by feeding half-million Glassdoor reviews through a "Latent Dirichlet Allocation topic modeling" machine learning algorithm: "the “bag of words” approach... inductively infers categories... a statistical model that looks for words that tend to co-occur."Step 1:…
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