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Killer apps, AWS AI certs, and good news for cheaters

AI for Pros: Navigating the Ever-Evolving Landscape of Artificial Intelligence in Business and Employment

Author

Malcolm Frank, CEO
July 08, 2024

A Note from Malcolm
Executives and AI: Still hunting for El Dorado

Something peculiar is going on with enterprise AI, for (to date) there are no killer apps. And it’s not for lack of trying; large corporations have launched thousands of proofs of concept. Yet, nothing. 

The Client/Server era produced an explosion of killer apps across finance, sales, HR, manufacturing and supply chain. Similarly, the Mobile era transformed communications, media, banking, delivery tracking and killed the airline check-in counter.

So why are there no similar AI-led solutions to date? Two leading theories:

  1. We’re in a gestation period between consumer innovation and enterprise adoption. It took a decade from the advent of the PC to widespread adoption of client/server enterprise apps, as supporting technologies (such as relational databases, open operating systems and TCP/IP) needed to mature. Today companies may need time to get their data, security and governance in order for industrial-grade AI.  

  2. AI, like Cloud, is an infrastructure and efficiency play. Azure and AWS have become trillion dollar franchises by providing hyper-efficient and scalable tech infrastructure. AI is starting to do the same with knowledge and talent. The apps and processes are largely the same, but supported by better, faster, cheaper piece parts.  

To date, AI adoption is mirroring the Cloud path. 

Perhaps it's time for executives to focus on what AI can do vs. what it might and prioritize boring efficiency over sexy innovation.

With that lens, here are some highlights from the past week at the intersection of enterprise AI and work:

Investors pour $27.1 billion into AI startups, defying a downturn

Startups going through the “Great Reawakening,” as VCs encourage companies to “pour gas” on growth, particularly around artificial intelligence.

Enterprise AI to take several years to unfold: Infosys chair

Nandan Nilekani states the “world is at a very early stage of AI development. Unlike consumer AI which will roll out quickly…enterprise AI will take several years to unfold.”

You could learn a lot from a CIO with a $17 billion budget

JPMC’s tech team of 63,000 is living a couple of years in the future. What are they focused on?

A primer on AI agents

The next big thing is AI tools that can do more complex tasks. MIT explains how they will work:

How good is ChatGPT at coding, really?

It’s a question we’ve all been asking. The current answer? AI is showing increasing superiority to human devs, but is less good at solving newer problems it wasn’t directly trained on.

Earn 47% more with AI certifications

AWS debuts 2 AI certifications to give workers an edge in pursuing in-demand cloud jobs.

State of Cloud 2024

Bessemer Venture Partners’ study: “Legacy cloud is dead. Long live AI cloud.” 

Tool of the Week:  Docify

Next-gen code comment and documentation.

Would having an AI boss be better than a human one?

An interesting case study on how AI could help middle management be more effective.

OpenAI internals stolen in 2023: NYT

A hacker gained access to the internal messaging systems at OpenAI last year and stole details about the design of the company's artificial intelligence technologies.

Good news for cheaters

AI-generated exam papers go undetected in 94% of cases, study finds. 

Frontline workers split on AI: BCG

Despite growing confidence in the technology, 4 in 10 employees are concerned about job security, the consulting firm found.

Think you’re funny? ChatGPT might be funnier.

A USC psychology study shows that AI-generated jokes tickle funny bones more than those created by people, raising concerns about the technology’s threat to entertainment jobs.

And one more thing…

AI can now read your mind.

See a picture, get an MRI…and AI can reproduce what you just saw. 

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