Is Generative AI useful? The answers will vary because expectations are through the roof. For me, yes, it is but you shouldn’t view it as the end all be all of AI. Rather, you should use it when the situation calls for it. What is generative AI good for?
Tag Archives: generative AI
Start With The Customer Problem, Not The Technology
Generative AI is still looking for its killer app. Sure, there is a niche number of people getting great results using LLMs for work and other activities to be more efficient and productive. Still, most of the existing generative AI solutions out there are hunting for a problem to solve.
10 Reasons Why You Should Automate Your Business’s Redundant Workflows And Processes
Artificial intelligence is the talk of the town. Whether or not it’s ready for prime time depends on your level of expectation. In its current state, it’s not going to replace humans anytime soon; but it can certainly take over some redundant tasks and workflows.
Why is The C-suite Divided On Generative AI?
Generative AI is here to stay. And as has been the case in the past, it’s being driven by startups. The late adopters? Corporations. According to a Boston Consulting Group (BCG) survey of 2,000 global executives, more than 50% still discourage Generative AI adoption. Why?
Generative AI Is Good Enough To Be Useful. Should You Adopt Or Die?
If you look up the definition of the word laggard you get this: Laggards are the last persons or organizations to adopt new ideas, technologies, products, or specific innovations. Another way to describe laggards is by using the word traditionalists; the last to adopt an innovation. They are fixated on the past, on maintaining the status quo.
5 Most Important Things You Need To Know From McKinsey’s Generative AI and The Future of Work in America Report
in Innovation
Last week, McKinsey released their 76-page long report on generative AI and the future of work in America. Two of the key conclusions from the report are that generative A.I. will upend the workforce, forcing 12 million job switches and automating away 30% of hours worked in the U.S. economy by 2030.