Pre-processing and exploring data, building and deploying models and turning those scoring values into an actionable insight can be overwhelming. A recent survey... Pre-processing and exploring data, building and deploying models and turning those scoring values into an actionable insight can be overwhelming. A recent survey shows that for data scientists, the many tasks they spend their time working on are very different from the tasks they actually want to prioritize. This disparity can feel wide, especially when coworkers or internal clients think you can do it all. The expectations for those who work with data and analytics can be as large as the potential impact that can be made in organizations.

This article will discuss 7-AI Powered tools that can help you to boost your productivity as a data scientist. These tools can help you to automate the tasks like data cleaning and feature selection, model tuning, etc., which directly or indirectly make your work more efficient, accurate, and effective and also helps to make better decisions. Many of them have user-friendly UIs and are very simple to use. At the same time, some allow data scientists to share and collaborate on projects with other members, which helps in increasing the productivity of teams. DataRobot is a web-based platform that helps you automate building, deploying, and maintaining machine learning models.

Artificial Intelligence Revolution is proof that the emergence of AI can be seen in various industries. Further, AI also brings in a technical revolution that seems like a Science Fiction movie. The AI revolution also displays the potential for solving various technical issues and improving living standards. Moreover, Pew Research Center predicts, "By 2025, artificial intelligence will be built into the algorithmic architecture of countless functions of business and communication, increasing relevance, reducing noise, increasing efficiency and reducing risk across everything from finding information to making transactions." Further, Precedence Research states, "The global artificial intelligence (AI) market size was estimated at US$ 87.04 billion in 2021 and it is expected to hit US$ 1,597.1 billion by 2030 with a registered CAGR of 38.1% from 2022 to 2030." Hence, this article covers the topic of the Artificial Intelligence Revolution and its future.

The advanced technologies are impacting major cities in the Middle East that rising both economically and creating opportunities for business. UAE is the fastest growing city has a unique strategic plan, economic vision, and deep resources and attractive business concerns to disruption of AI in all areas. The artificial intelligence has the capability to solve various problems and greatest challenges that effect to improve resources in the Middle East countries. The Middle East countries like Jordan, Kuwait, Oman, Qatar, and Saudi Arabia are leading the direction to implement artificial intelligence services in their private and public domains. The advanced technology making a huge impact on human lives that will provide huge success in business and credible process to reduce risk in the operations by reducing deception methods.

Artificial intelligence continues to be increasingly used throughout the general public and businesses to enhance consumer experiences. Research from Gartner predicts AI will generate a business value of $2.9 trillion by 2022. It's making doing business easier because it offers entrepreneurs several benefits that can help them grow their businesses. Being able to run your business efficiently is essential to maximizing your resources. It also helps you save time and money for your business in the long run.

Artificial Intelligence has become the keyword which defines the future and everything that it holds. Not only has Artificial Intelligence taken over traditional methods of computing, but it has also changed the way industries perform. From modernizing healthcare and finance streams to research and manufacturing, everything has changed in the blink of an eye. Artificial Intelligence has had a positive impact on the way the IT sector works; in other words, there is no denying the fact that it has revolutionized the very essence of the space. Since the IT sector is all about computers, software, and other data transmissions, there is a relatively important role Artificial Intelligence can play in this domain.

A central task force on Artificial Intelligence (AI) has suggested creating a National Artificial Intelligence Mission (N-AIM) that will serve as a nodal agency for coordinating AI related activities in the country. The report of the task force, set up by the Union Commerce Ministry in August last, has also said "AI should be seen as a scalable problem solver in India rather than only as a booster of economic growth." Professor V Kamakoti, Chairman of the task force and a Professor of IIT, Madras, said the report was a "practical" one and that "all our recommendations have been very pointed and it has been seen to it that they are very much implementable in a short time." According to the report, Artificial Intelligence "is the science and engineering of making intelligent machines, especially intelligent computer programmes." The task force, whose members include those from government and the private sector, besides the academia, has identified 10 domains in India, including Manufacturing, FinTech, Agriculture/Food Processing and Education for implementation of AI.

The government of Karnataka has decided to partner US tech giant Microsoft to use artificial intelligence (AI) for digital agriculture. The collaboration intends to empower smallholder farmers with technology-oriented solutions that will help them increase income using ground-breaking, cloud-based technologies, machine learning and advanced analytics. The collaboration will experiment with the Karnataka Agricultural Price Commission (KAPC), department of agriculture to help improve price forecasting practices to benefit farmers. Microsoft, with guidance from KAPC, is attempting to develop a multi-variant agricultural commodity price forecasting model considering the following datasets--historical sowing area, production, yield, weather datasets and other related datasets as relevant. For this season, Tur crop has been identified for this prediction model.

The brains behind IBM's Jeopardy-winning, disease-tracking, weather-mapping Watson supercomputer plan to embark on a lobbying blitz in Washington, D.C., this week, hoping to show federal lawmakers that artificial intelligence isn't going to kill jobs -- or humans. To hear IBM tell it, much of the recent criticism around machine learning, robotics and other kinds of AI amounts to merely "fear mongering." The company's senior vice president for Watson, David Kenny, aims to convey that message to members of Congress beginning with a letter on Tuesday, stressing the "real disaster would be abandoning or inhibiting cognitive technology before its full potential can be realized." Labor experts and reams of data released in recent months argue otherwise: They foretell vast economic consequences upon the mass-market arrival of AI, as entire industries are displaced -- not just blue-collar jobs like trucking, as self-driving vehicles replace humans at the wheel, but white-collar positions like stock trading too. Others fear the privacy, security and safety implications as more tasks, from managing the country's roads to reading patients' X-ray results, are automated -- and the most dire warnings, from the likes of SpaceX and Tesla founder Elon Musk, include the potential arrival of "robots capable of destroying mankind."

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