Lots of math involved, but the text in the beginning makes it pretty clear how AI works to solve business problems.
https://www.rand.org/content/dam/rand/pubs/papers/2008/P550.pdf
Moore's Law has finally brought computer processing power fast enough to bring AI to fruition. Right now, in 2024, AI has the brain power of a rat, but by 2025, it is on the trajectory to have the processing power of a human brain.
AI can do things like help a company optimize a process of when each truck should deliver recycled aluminum so the temperature is just right to create higher yields of new cans. It reduces the need for communication between drivers, schedulers, and the foundry. You can extrapolate that example to: AI can figure out the optimum way to do any business process.
ChatGPT can summarize a long article quickly which is something most of us can use.
I'm taking certificate courses on AI now to understand it and use it's power to do marketing better-faster-cheaper, so my employers can use the productivity gains for competitive advantage.
If everyone else is using it, that means I will just be running two steps behind if I'm not.
AI can save a data analyst or a software programmer twenty hours of work a week. It has definitely saved me hours and hours of work already.
Linkedin offered me, and everyone else, AI to write cover letters to recruiters, when I was applying for jobs. What AI came came up with was very wordy and repetitive. I would be embarrassed to use that text. It also mentioned my relevant experience in the cover letter, but always pulled my most recent experience for every position, not what was relevant to the position I was applying for. It did give ideas for elements of what should be included, which is helpful. You can tell an engine like Claude.ai or Chat GPT to do it again shorter or with a more specific focus if something comes out wordy, but with Linkedin's feature I just edited it quickly.
The key to getting good results with AI is to be really specific when asking Claude.ai or any other AI engine to do something, just like when you are searching via google. For instance, you could type in: "five-minute speach to a group of Salespeople about 'elevate'" and it will print out a speach; Or if you are in finance, you can type in "manual for forecast procedures at a software company" or "tax laws for revenue recognition of sales, 2024". Of course, you always have to verify you are getting good info, but AI gives you a great jumping off point and very quickly.
Summarized how AI powers many games using Claude.ai:
"Temporal Differences learning is a model-free method, meaning it does not require explicit knowledge of the transition probabilities or reward function of the MDP. It can learn directly from experience, making it suitable for problems where the environment dynamics are unknown or too complex to model explicitly.
What are liquid neural nets?
Liquid neural nets use a new mathematical formulation and wiring pattern to create deep learning models that are compact, energy-efficient, and causal. It can address some of the key challenges of current deep learning models and create new directions for AI research.
Wondering if Google bought that tech from Salesforce.com who bought it from TwinPrime where I worked in 2016? We used machine learning, protocols, and infrastructure to speed up delivery of images for customers with apps in verticals that use a lot of images like social media, gaming, and etailers.
It worked by trying to send the images in different ways in peak traffic times in densely populated areas, then AI would figure out the best way to get them through quickly, in example, one at a time might go faster than trying to send every image in this article at once.
Looked it up, AMP is definitely powered by AI as I suspected.
Found this online on Readwrite.com: "Furthermore, the AI-powered AMP can facilitate online content and e-commerce businesses to enhance digital marketing strategies, increase the rankings, and better mobile-friendly experience."
Talked to a Team Leader at Cisco yesterday where they are using AI to improve ethernet networking.
There are thousands, if not millions, of ways that AI is being used to create new and faster technology, translate code, locate and analyze data, write text for specific use cases, optimize business processes, speed up networks, create slides, games and more. You still have to carefully scrutinize AI output for edits, but productivity gains can be immense when used properly.
Just hoping we don't run into a Terminator / iRobot situation, along with a lot of other people, ha.
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