alwaysAI Insider, vol. 18: Is AI a Trick or Treat?
Welcome back, Insiders!?
With Halloween right around the corner, some spooky stats from Gartner:?
While the Grim Reaper isn’t exactly knocking on AI’s door — investors, CEOs, the general public, and even those at the forefront of these emerging applications are starting to ask tough questions about the value of AI in terms of investment costs.
Chris Young, Microsoft’s head of corporate strategy, recently told the Wall Street Journal,? “We’re clearly at a place where now we’ve got to translate the excitement and the interest level [of AI] into true adoption.”
A day later, CNBC ran this headline: ‘Overhyped’ generative AI will get a ‘cold shower’ in 2024, analysts predict. The article points out the expense of deploying and sustaining AI applications, government regulatory measures (especially in the EU), and some of the safety/accuracy concerns – the combination of which will become a “reality check” for generative AI as enterprises look ahead to 2024.?
Although no one denies the future is AI, the theoreticals about cutting costs and improving efficiencies will no longer be enough. Enterprises are growing more eager to see proven results.?
To answer these questions, enterprises need a better understanding of which type of AI will drive the greatest ROI for their organization. What works for a law firm might not work well for a manufacturing plant.?
There is more to AI than LLMs. Computer vision offers something different. Computer vision does not generate content based on what is known, it gives you real-time, visual insights about unknowns.?
The cost savings of this kind of practical AI are clear. Seeing an expensive piece of equipment sit idle for 10 minutes when you estimated it to be around 2 minutes is like watching hundreds of dollars (or more!) burn. ??
These kinds of operational insights are exactly the reasons why federal agencies like U.S. Customs and Border Protection are investing in computer vision. Computer vision is the only AI that delivers real-time visual data needed to make those operational improvements.
The dark corners of your warehouse, restaurant, factory, or retail store don't have to be the spooky places you lose efficiency. ???? Let computer vision scare away wasted, idle minutes with unprecedented visual insights to help you improve operations and drive more revenue. ?????
Industry Roundup
One way enterprises can ensure they get the most from their machine learning (ML) investments, is to ensure they have a means to manage the entire lifecycle of their AI solutions from data collection to model creation to application deployment and management. This can be achieved with MLOps (Machine Learning Operations).
“Investing in MLOps from step one enabled them to release their application with production-ready AI/ML as quickly as possible while minimizing engineering heavy lifting, reducing administrative costs, and streamlining technology operations.”
Learn more about the importance of MLOps here (and then head over to alwaysAI's platform page to learn how we manage the entire ML lifecycle).
Manufacturing is one industry seeing dramatic improvements from computer vision. Thanks to real-time visual data, manufacturers are gaining unprecedented insights into operations to identify bottlenecks, increase efficiency, and ensure safety compliance.?
Learn how manufacturers are using this practical AI technology to cut costs and drive more revenue.
领英推荐
Although published in the AI Dark Ages of 2021, this PWC article on the nuts and bolts of calculating ROI still offers excellent analysis about how to investigate whether your investment in AI will outweigh the costs. In terms of both hard and soft returns, computer vision delivers.?
? Time savings
? Productivity increases?
? Cost savings
? Revenue increases
? Better experience?
? Agility
Discover more about how to determine the ROI of your AI investments.?
alwaysAI Insights
AI took a giant leap forward in 2023. The hype is real. But because AI software has become so accessible and pervasive, it can be difficult to know which solutions will work best for your organization.
We're breaking down some of the differences in types of AI and have 7 essential questions you should ask before jumping into an expensive AI investment.
Developer Digest
Real Python is an active treasure trove of Python news and insights from the developers who use it. In addition to an active YouTube channel with tons of tutorials, they have a long-running podcast to help developers stay ahead of the latest Python developments and learn from others in the community.
In the latest episode, host Christopher Bailey sits down with Christopher Trudeau (a Python expert and consultant) to discuss everything from conversations on social media to the results of a recent Python Developer Survey to new updates from Python. Listen here.
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