About AI and ML

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AI technology and ML is going to future of world. But now many company uses these two for grow technology very rapidly.

• What is AI Technology?

Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every  sector of the tech industry.

Artificial Intelligence

• What is ML Technology?

Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

Machine Learning 

• What is difference between AI and ML?

AI is bigger concept to create intelligence machine that can stimulate human intelligence and all. whereas ML is a application or subset of AI that allow machine  to learn from data without being programmed explicitly.

 

• How AL and ML change the world?

👉In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Prior research typically addresses a subset of these dimensions; this paper integrates all three into a single framework. Next, the authors propose a research agenda that addresses not only how marketing strategies and customer behaviors will change in the future, but also highlights important policy questions relating to privacy, bias and ethics. Finally, the authors suggest AI will be more effective if it augments (rather than replaces) human managers.

👉 AI will affect sales processes in various industries. Most salespeople still rely on a telephone call (or equivalent) as a critical part of the sales process. In the future, salespeople will be assisted by an AI agent that monitors tele-conversations in real time. For example, using advanced voice analysis capabilities, an AI agent might be able to infer from a customer’s tone that an unmentioned issue remains a problem and provide real-time feedback to guide the (human) salesperson’s next approach. In this sense, AI could augment salespersons’ capabilities, but it also might trigger unintended negative consequences, especially if customers feel uncomfortable about AI monitoring conversations. Also, in the future, firms may primarily use AI bots,Footnote which—in some cases—function as well as human salespeople, to make initial contact with sales prospects. But the danger remains that if customers discover that they are interacting with a bot, they may become uncomfortable, triggering negative consequences.

👉Top ten biggest AI companies.

•  Third eye data
•  Data root lab 
•  Data Robot
•  Master of Code Global
•  H2O 
•  IBM 
•  Hatchworks Technologies 
•  Cloud Minds
•  Fayrix 
•  STX Next 

👉How can artificial intelligence be dangerous?

While we haven’t achieved super-intelligent machines yet, the legal, political, societal, financial and regulatory issues are so complex and wide-reaching that it’s necessary to take a look at them now so we are prepared to safely operate among them when the time comes. Outside of preparing for a future with super-intelligent machines now, artificial intelligence can already pose dangers in its current form.      

👉Let’s take a look at some key AI-related risks.

• Autonomous weapons

AI programmed to do something dangerous, as is the case with autonomous weapons programmed to kill, is one way AI can pose risks. It might even be plausible to expect that the nuclear arms race will be replaced with a global autonomous weapons race.

• Social manipulation

Social media through its autonomous-powered algorithms is very effective at target marketing. They know who we are, what we like and are incredibly good at surmising what we think. 

• Invasion of privacy and social grading

It is now possible to track and analyze an individual's every move online as well as when they are going about their daily business

• Misalignment between our goals and the machine’s

Part of what humans value in AI-powered machines is their efficiency and effectiveness. But, if we aren’t clear with the goals we set for AI machines, it could be dangerous if a machine isn’t armed with the same goals we have.

• Discrimination

Since machines can collect, track and analyze so much about you, it’s very possible for those machines to use that information against you.

👉Top 9 Programming Language use is AL and ML.

• PYTHON
• JAVA
• JULIA
• HASKELL
• LISP
• PROLOG
• C++
• JAVASCRIPT
• C#

[ and many more language use for AI and ML]

👉Salary in AI and ML.

• It is around average Rs. 10,927,888  in 2021. for ML.
• It is around  average Rs. 15,67,358 in 2021.for AI.

   

{This is something about AI and ML. Hope you now know more about AI and ML.

Everything in the universe have pros and cons it depend on us how we look on it. Technology  is build to help humans and change the world. }

💨Comment down if  you have queries on AI and ML .

 THANKS  FOR READING

BY SACHIN PRAJAPATI