AI the Eternal Talent Is Growing Up

The subject of AI is nothing new—it has been discussed since the 1960s.

The great breakthrough in the business world has failed to appear, but for a

few exceptions. Thanks to the immensely increased computing power, the

methods can now be massively parallelised and intensified. Innovative deep

learning and predictive analytics methods paired with big data technology

facilitate a quantum leap of AI potential benefits for business applications

and problems. In the last ten years, the breakthrough with regard to the

applicability in business practice has succeeded due to this further devel-

opment. At present, the discussion is, on the one hand, shaped by hardly

realistic science fiction scenarios that postulate computers taking over man-

kind. On the other hand, there is a strongly informatics-/technology-laden

discourse. In addition to that, there are singular popular science publications

as well as articles in the daily press. The latter adhere to the exemplary level

without holistic context. A systematic overview of the AI relevant for busi-

ness, a reference model for classification for the respective business functions

and problems, a maturity model for the classification and evaluation of the

respective phases and a process model including an economic cost-benefit

analysis are all lacking.

Comments

How to Earn money with Email List Building

Collecting emails is one of the number one ways to have staying power and build a business online for life. Your email list becomes your B USINESS ASSET . As you build rapport with your list and they get to know, like and trust you... sales become effortless! You can earn daily by sending one simple email with an offer to a product (affiliate link). First and foremost where do you get the emails? You must build opt in pages and give people a reason to fill in their email. Give them something in exchange. Free giveaway, compelling headline that makes them curious and want more info. via Blog and/or C apture Page Take a look at my blog as an example:

Why Use Machine Learning?

Consider how you would write a spam filter using traditional programming techniques (Figure 1-1): 1. First you would look at what spam typically looks like. You might notice that some words or phrases (such as “4U,” “credit card,” “free,” and “amazing”) tend to come up a lot in the subject. Perhaps you would also notice a few other patterns in the sender’s name, the email’s body, and so on. 2. You would write a detection algorithm for each of the patterns that you noticed, and your program would flag emails as spam if a number of these patterns are detected. 3. You would test your program, and repeat steps 1 and 2 until it is good enough. Since the problem is not trivial, your program will likely become a long list of com‐ plex rules—pretty hard to maintain. In contrast, a spam filter based on Machine Learning techniques automatically learns which words and phrases are good predictors of spam by detecting unusually fre‐ quent patterns of words in the spam examples compared to the ham e...

What is Machine Learning

The term machine learning (ML) as a part of artificial intelligence is ubiq- uitous nowadays. The term is used for a wide number of various appli- cations and methods that deal with the “generation of knowledge from experience”. The well-known US computer scientist Tom Mitchell defines machine learning as follows: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E (Mitchell 1997). An illustrative example of this would be a chess computer program that improves its performance (P) in playing chess (the task T) by experience (E), by playing as many games as possible (even against itself ) and analysing them (Mitchell 1997). Machine learning is not a fundamentally new approach for machines to generate “knowledge” from experience. Machine learning technology was used to filter out junk e-mails a long time ago. Whilst spam filters that tack- ...

Tech & Fun

Search This Blog