Organizations face challenges in scaling artificial intelligence (AI) projects because they lack the requisite skills, collaboration, tooling and know-how to create and manage a robust, production-grade AI pipeline. Through 2023, Gartner estimates that 50% of IT leaders will struggle to move their AI projects past proof of concept (POC) to a production level of maturity. To reduce this high failure rate, organizations need to build the right roles for AI success. "In many organizations, data scientists are still wearing too many hats due to a dearth of talent across other roles," said Arun Chandrasekaran, Distinguished VP Analyst, Gartner, during his session at virtual Gartner IT Symposium/Xpo 2020. How leaders can create value in a new digital age.

Organizations face challenges in scaling artificial intelligence (AI) projects because they lack the requisite skills, collaboration, tooling and know-how to create and manage a robust, production-grade AI pipeline. Through 2023, Gartner estimates that 50% of IT leaders will struggle to move their AI projects past proof of concept (POC) to a production level of maturity. To reduce this high failure rate, organizations need to build the right roles for AI success. "In many organizations, data scientists are still wearing too many hats due to a dearth of talent across other roles," said Arun Chandrasekaran, Distinguished VP Analyst, Gartner, during his session at virtual Gartner IT Symposium/Xpo 2020. To successfully operationalize and scale AI initiatives, organizations need to build diverse AI roles and skills.

Artificial intelligence will drive worker productivity in the years ahead primarily through decision support as humans everywhere get a crutch when it is time to make a call, according to a Gartner estimate. Gartner estimates that artificial intelligence augmentation will create $2.9 trillion in business value and 6.2 billion hours of worker productivity in 2021. The general idea from Gartner is that augmented intelligence won't take over human tasks, but improve learning, decision making and experiences. This combination of human and AI knowhow will drive productivity for enterprises. What is artificial general intelligence?

There's no escaping the growing artificial intelligence market that technology companies are creating. Whether one is looking at the AI chips built by Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google, the driverless car platform created by NVIDIA that uses AI to help vehicles "see" and react to what's happening around them, or Amazon's (NASDAQ:AMZN) Alexa smart assistant that fields questions from users (and drives more sales to the company's e-commerce site) -- AI is taking over the tech world. But the implementation of AI has massive implications beyond the tech world. In particular, it will likely transform the job market in ways that seem impossible to us right now. Here are three of the biggest changes that are likely on the horizon.

IBM's Almaden lab is sacred ground for techies. Set in the middle of 700 grassy acres on a hill south of San Jose, its scientists have filed thousands of patents. They've won Turing and Nobel prizes. And almost 60 years ago, they pioneered the first bulky disk drive. Since then, they've been involved in successive pushes to miniaturize it and miniaturize it again, so that now even the tiniest of devices can gather and store data.

Before panic descends and we begin imagining scenarios where redundancies abound and pink slips are handed out en masse, let's focus instead on the boring facts. Threats to jobs are enough to rile up anger and anxiety, there is more than enough historical precedence for this. Two hundred years ago, a group of people was so angered by the increasing use of machines in the textile industry that they smashed the machines in protest -- these were the Luddites. In response, the British government made breaking machines a capital offense. The Smithsonian magazine, while describing the upheaval of the times, explained that "as the Industrial Revolution began, workers were naturally worried about being displaced by increasingly efficient machines. But the Luddites themselves "were totally fine with machines"'. The article quoted Kevin Binfield, editor of the 2004 collection Writings of the Luddites, who added that "they confined their attacks to manufacturers who used machines in what they called "a fraudulent and deceitful manner" to get around standard labor practices." The question of man vs. machine is something that many have struggled with. As part of his protest against British imperialism, the Father of the Indian nation, Mahatma Gandhi, burnt machine-made clothes and encouraged people to adopt the Indian handwoven fabric called Khadi. He said, "I have the conviction within me that, when all these achievements of the machine age will have disappeared, these our handicrafts will remain; when all exploitation will have ceased, service and honest labor will remain.

When the time comes to discuss artificial intelligence (AI) integration in a particular business unit, you'd think the chief information officer (CIO) would be the obvious go-to person -- but it's the chief data officer (CDO) who should be on your radar. AI activity often falls under the care of the CDO because it involves using data, technology and analytics to make informed research and product decisions. There has been steady growth in CDO appointments in the past two years, and the role is coming of age in 2017, according to a recent Forrester report. In 2015, the global average of organizations with a CDO was 45 percent, and increased to 47 percent in 2016, the firm reports. Meanwhile, Gartner estimates by 2019, 90 percent of large organizations will have a CDO.

Microsoft (NASDAQ:MSFT) co-founder Bill Gates recently called artificial intelligence "the holy grail that anyone in computer science has been thinking about" during Vox Media's Code Conference. Gates discussed the rapid progress of speech recognition and computer vision technologies over the past five years, and noted that "the dream is finally arriving." If that dream arrives, tech investors should recognize the major trends and players in this market. To get started, let's examine 10 fascinating facts about the AI industry. Research firm Markets and Markets estimates that the AI market will grow from 420 million in 2014 to 5.05 billion by 2020, thanks to the rising adoption of machine learning and natural language processing technologies in the media, advertising, retail, finance, and healthcare industries.

Microsoft (NASDAQ:MSFT) co-founder Bill Gates recently called artificial intelligence "the holy grail that anyone in computer science has been thinking about" during Vox Media's Code Conference. Gates discussed the rapid progress of speech recognition and computer vision technologies over the past five years, and noted that "the dream is finally arriving." If that dream arrives, tech investors should recognize the major trends and players in this market. To get started, let's examine 10 fascinating facts about the AI industry. Research firm Markets and Markets estimates that the AI market will grow from 420 million in 2014 to 5.05 billion by 2020, thanks to the rising adoption of machine learning and natural language processing technologies in the media, advertising, retail, finance, and healthcare industries.

Microsoft (NASDAQ:MSFT) co-founder Bill Gates recently called artificial intelligence "the holy grail that anyone in computer science has been thinking about" during Vox Media's Code Conference. Gates discussed the rapid progress of speech recognition and computer vision technologies over the past five years, and noted that "the dream is finally arriving." If that dream arrives, tech investors should recognize the major trends and players in this market. To get started, let's examine 10 fascinating facts about the AI industry. Research firm Markets and Markets estimates that the AI market will grow from 420 million in 2014 to 5.05 billion by 2020, thanks to the rising adoption of machine learning and natural language processing technologies in the media, advertising, retail, finance, and healthcare industries.