IBM Benefited by Artificial Intelligence or not

 Hi Everyone..

    This post is all about," How IBM is using Artificial Intelligence in its core sectors? ". But before going directly to that point I would like to give you a brief knowledge about Artificial Intelligence and its Applications.

What is Artificial intelligence?

In computer science, the term artificial intelligence (AI) refers to any human-like intelligence exhibited by a computer, robot, or other machine. In popular usage, artificial intelligence refers to the ability of a computer or machine to mimic the capabilities of the human mind—learning from examples and experience, recognizing objects, understanding and responding to language, making decisions, solving problems—and combining these and other capabilities to perform functions a human might perform, such as greeting a hotel guest or driving a car.                                                                                                                                                         After decades of being relegated to science fiction, today, AI is part of our everyday lives. The surge in AI development is made possible by the sudden availability of large amounts of data and the corresponding development and wide availability of computer systems that can process all that data faster and more accurately than humans can. AI is completing our words as we type them, providing driving directions when we ask, vacuuming our floors, and recommending what we should buy or binge-watch next. And it’s driving applications—such as medical image analysis—that help skilled professionals do important work faster and with greater success.

Application of Artificial intelligence ?

As everyone have noted these days artificial intelligence is everywhere , but some of it has been around for longer than you think. Here are just a few most common examples:

• Speech recognition : Also called speech to text (STT), speech recognition is AI technology that recognizes spoken words and converts them to digitized text. Speech recognition is the capability that drives computer dictation software, TV voice remotes, voice-enabled text messaging and GPS, and voice-driven phone answering menus.

• Natural language processing (NLP) : NLP enables a software application, computer, or machine to understand, interpret, and generate human text. NLP is the AI behind digital assistants (such as the aforementioned Siri and Alexa), chatbots, and other text-based virtual assistance. Some NLP uses sentiment analysis to detect the mood, attitude, or other subjective qualities in language.

• Image recognition (computer vision or machine vision) : AI technology that can identify and classify objects, people, writing, and even actions within still or moving images. Typically driven by deep neural networks, image recognition is used for fingerprint ID systems, mobile check deposit apps, video and medical image analysis, self-driving cars, and much more.

• Virus and spam prevention : Once driven by rule-based expert systems, today’s virus and spam detection software employs deep neural networks that can learn to detect new types of virus and spam as quickly as cybercriminals can dream them up.
• Household robots : iRobot’s Roomba vacuum uses artificial intelligence to determine the size of a room, identify and avoid obstacles, and learn the most efficient route for vacuuming a floor. Similar technology drives robotic lawn mowers and pool cleaners.

• Autopilot technology : This has been flying commercial and military aircraft for decades. Today, autopilot uses a combination of sensors, GPS technology, image recognition, collision avoidance technology, robotics, and natural language processing to guide an aircraft safely through the skies and update the human pilots as needed. Depending on who you ask, today’s commercial pilots spend as little as three and a half minutes manually piloting a flight.

About International Business Machines

 International Business Machines Corporation (IBM) is an American, multinational technology and consulting company headquartered in Armonk, New York, with more than 350,000 employees serving clients in 170n countries. On October 8, 2020 IBM announced it was spinning off the Managed Infrastructure Services Unit of its Global Technology Services division into a new public company, an action expected to be completed by the end of 2021.                                                                                                                          Prior to the announced split, IBM produced and sold computer hardware, middleware and software, and provided hosting and consulting services in areas ranging from mainframe computers to nanotechnology. It is also a major research organisation, as of 2020 holding the record for most U.S. patents generated by a business for 27 consecutive years. Inventions by IBM include the floppy disk, the hard disk drive, the magnetic stripe card, the relational database, the SQL programming language, the UPC bar code, and dynamic random-access memory (DRAM). The IBM mainframe, exemplified by the system/360, was the dominant computing platform during the 1960s and 1970s.                                                                                                                                IBM, sometimes referred to as Big Blue, is one of 30 companies included in the Dow Jones Industrial Average and one of the world’s largest employers, with over 352,600 employees as of 2019. At least 70% of IBM employees, known as “IBMers”, are based outside the United States, with the largest number in India. IBM employees have been awarded five Nobel Prizes, six Turing Awards, ten National Medals of Technology (USA) and five National Medals of Science (USA).

Why IBM uses A.I. TO find jobs for people without degree ?

With the unemployment rate at a low 3.7% and the skills shortage severe, corporations need to get creative about finding talented job candidates. IBM is among the technology giants testing new methods involving artificial intelligence to overcome the labour market challenges.                                                                                                                            AI has been applied to the job application process directly as a method to prevent human bias in hiring decisions. Now more companies are using AI assessment tools to reverse-engineer job roles and find candidates often overlooked by recruiters.

Hiring below the college degree

Within the IBM Skills Build platform are AI tools like MyInnerGenius, created by San Diego area-based GreatBizTools, which designs AI products to find talent in non-traditional ways.                                                                                                                        MyInnerGenius is helping fill entry-level and mid-level IT roles for IBM’s New Collar program in the U.S. and Skills Build program in Europe. Many of these roles are being filled by applicants with no prior experience in technology, many of whom don’t have college degrees.                                                                                                                                    “There are currently more than 500,000 IT job openings, and colleges are only producing around 50,000 people with degrees in IT per year,” said Denise Leaser, president of GreatBizTools. The skills shortage has made it more necessary than ever for companies like IBM to look outside of their usual applicant pool. “IBM wants to open up IT to more people, especially people who may have never thought of or considered an IT role before.”

 IBM Using AI to Evaluate the performance of employees ?

But that’s not the only way the technology giant, which employs roughly 350,000 workers, knows who in the workforce is currently searching for a new position. IBM artificial intelligence technology is now 95 percent accurate in predicting workers who are planning to leave their jobs, said Rometty. During Rometty’s seven-year tenure as CEO, IBM has been improving its AI work devoted to the retention of its employees.

How it works :-                                                                                                                                 Predicting the future is right inside of Watson’s wheelhouse. In this case it isn’t determining whether you’re going to win the lottery and quit, it’s using company data to make logical projections about individual performance.

Why it’s cool :-                                                                                                                                                         IBM has 380,000 employees worldwide. That’s a lot of performance reviews for human managers to handle, and a massive time investment if they’re going to give them the scrutiny they deserve.                                                                                                                 Watson could, theoretically, give each individual a comprehensive evaluation based on every scrap of information available, in a fraction of the time it would take humans. And the data generated is what it uses to fuel its predictions for future performance.

Coming to the end of this Blog about IBM and it's use of AI to make them more efficient and productive gave you a brief look about it and you enjoyed it reading. that's all and stay tuned for the further posts.