The answers are divided into the following categories:
Everyday Artificial Intelligence
Everyday Machine Learning
What is Artificial Intelligence?
AI is most often a computer program which is designed to duplicate intelligent thinking. Notice the word “duplicate” as opposed to “emulate.” At its current stage of development, although still primitive compared to the human brain, it has, in some particular situations, replicated human thought processes quite precisely.
How does any AI learn?
There are two methods by
Why is adoption speeding up?
It is a commonly held belief that Artificial Intelligence (AI) started with ELIZA. It’s not true. Despite the fact that it could (and did!) pass the Turing Test on many occasions, it was never designed to be an AI. Although this article is chockful of information that you need, it may be useful for you to take a couple of moments to use the ELIZA demo above to understand how it works. Since it is psychologist-based, try discussing a real or fictional personal problem with it.
Back already? Interesting, wasn’t it? As you can
Depending on who is saying the word operations, it can have significantly different meanings. From a management perspective, it includes controlling Quality Assurance (QA) programs, hiring & training, and process monitoring & maintenance, all while creating strategies to enhance efficiency and production.
“Operations” is the fulcrum upon which productivity and efficiency are balanced. A large part of that process is obtaining the required raw materials, turning it into goods, and then getting it out the door, on the way to the consumer.
If you think that is all there is to it, however, you’re forgetting about having people
Getting its foot-in-the-door
Salespeople are a different kettle of fish altogether when compared to your more conventional variety of office worker. They don’t like to be sitting in the office—they want to be out there and doing stuff—they’re the ones that sit in the front car of the roller coaster if they can ever force themselves to take some time away from their jobs. They’re the former class-presidents, junior civic leaders—the ones that walk right up to someone they don’t know, stick out their hand and say “Howdy, I’m Mike (or Jill). Isn’t it a great day today?”
From Raw Material to Finished Product
According to a 2017 survey of 835 companies, Artificial Intelligence (AI) has penetrated deeply into our everyday business activities. That is not much of a surprise for most of us since the subject continues to hold sway in reporting and gather interest from almost every news outlet.
It tells us, for example, that 44% of companies now use AI to detect intrusions and security breaches. Another 41% are using it to resolve our users’ IT problems with, among other things, amazingly human-like ChatBots. These are the sorts of things that people expect to see
Taking the drudgework out of HR
Using Artificial Intelligence (AI) properly will set you apart from “old-fashioned” manual companies. Candidates look upon sophisticated AI-driven HR as more efficient, progressive, and desirable than nostalgia-driven methodologies from the last century.
AI algorithms also remove language biases in advertising for positions so as not to disclude viable candidates through innate prejudices in wording choices. This unconscious bias can cause your company to overlook a great candidate, extending your search, and will end up increasing your costs while adding unnecessarily lost productivity.
Why AI Great for HR
Going “by our gut” is
Almost 62% of respondents in a 2017 business survey pointed to Artificial Intelligence (AI) and Machine Learning (ML) as the two most important factors that will set the tempo for business for the next decade and beyond.
Not to be outdone, Big Data and Business Analytics (BA) came in right behind at 58%. Don’t fret about the totals exceeding 100% since participants were asked to rank dozens of factors in order of importance, likelihood, or need, and choosing one thing does not preclude another.
AI is coming, and few are even thinking about applying the brakes. There are
AI and data science has Innumerable Applications. Let’s look at 100 use-cases of AI, ML and data science.
We, as humans, are shaped by our experiences. Touch a hot stove element as a child, and you learn quickly never to do it again. Spin and spin with your friends on the front lawn until you fall down, to experience the feeling that they sky is spinning around you. Keep doing it over and over until you throw up, and you have learned a limitation. You may do it again, but you’ve learned to stop doing it sooner because of the
We don’t want an AI President (do we?)
That is a funny notion, isn’t it? Suppose for a moment what would happen were we to elect a truly smart, well informed Artificial Intelligence (AI) as the Leader of our country. Immune to bribery; virtually all-seeing and all-knowing; able to instantly assess when someone is voting contrarily to what their constituents want (in support of a lobbyist with a fat wallet and an agenda). Suddenly politicians would be answerable to the people.
Accepting bribes (or dubious “contributions”) would be almost impossible. We’re almost at the point in social evolution where we
Artificial Intelligence (AI) has already affected your life—in ways you might have read about, or already suspected—and this effect has been largely positive. It streamlines your interactions and makes web searching easier. AI controls traffic lights to reduce automobile congestion; it invisibly places elevators at specific positions in high-rises so that they are near where they are going to be needed, thus minimizing how long you wait when you push the call button. Its abilities are expanding all the time.
For example, Facebook has invested heavily in AI so that they can present useful, related articles (or ads)