IT - AI

Artificial Intelligence And Automation 2021
Datamation, October 4th, 2021
Automation is becoming a top priority in many markets, especially as the remote workforce grows and workforce shortages displace traditional models of work in favor of more sustainable solutions.

"Artificial intelligence (AI) development is one of the leading forces in the automation drive, with expectations that AI will lead to a $15.7 trillion, or 26%, increase in global GDP by 2030, according to PwC's 'Global Artificial Intelligence Study.'

As AI automation continues to enable new products and workplace solutions, many people have understandably grown concerned about their job security as AI takes over more daily tasks. But is artificial intelligence-enabled automation actually removing jobs, or is it simply changing the way we work?

Read on to learn about how AI automation is disrupting traditional jobs and how workplaces and employees alike can ensure workers' security in the long run:..."


Artificial Intelligence Market 2021
Datamation, October 8th, 2021
The artificial intelligence (AI) market is seeing explosive growth not only in traditionally tech-driven industries but also in new lines of business and in the homes of consumers

"As the demand for AI efficiencies continues to grow, data scientists and other AI experts are challenging themselves to harness and apply big data in new ways.

Read on to learn about artificial intelligence, how AI is being used, and the state of the AI market:..."


Technology solution providers frequently list artificial intelligence (AI) and machine learning (ML) products under one category of AI/ML.

The combination of these two tech trends has gained significant buzz in the business world, but AI and ML aren't the same thing: machine learning is a subset of artificial intelligence.

Bartowsz Wojtowicz, a machine learning engineer at Netguru, a machine learning and digital transformation company, offered further distinction:

'AI describes a general concept of creating machines, simulating human cognitive capabilities - such as learning and problem solving,' Wojtowicz said. 'Whereas, machine learning is currently the most promising and most widely used application of AI, which allows computers to learn and improve based on experience.'


What is your daily experience as a consumer with AI? Newsfeeds dominated by high school friends and anger-inducing political memes?

"Trying to get kids to put down addictive devices? Maybe even a sense of loss when you find there's no middle ground in trying to talk with people who see the world differently?

For me-a professional working mom living in San Francisco, working with diverse, global colleagues, with personal ties to the South and to Idaho-these are the most real and tragic results from consumer AI. You may feel different results more acutely, but I hazard to guess that you, too, have personally experienced some of the negative effects from consumer AI. No one could try to claim consumer AI is all negative, of course. Optimized drive routing, personalized healthy reminders, and a wider range of music discovery are the features I appreciate the most..."


Responsible AI, Small and Wide Data, Operationalization and Efficient Resource Use Will Be Key to Scaling AI Initiatives

Four trends on the Gartner, Inc. Hype Cycle for Artificial Intelligence, 2021 are driving near-term artificial intelligence (AI) innovation. These trends include responsible AI; small and wide data approaches; operationalization of AI platforms; and efficient use of data, model and compute resources.

'AI innovation is happening at a rapid pace, with an above-average number of technologies on the Hype Cycle reaching mainstream adoption within two to five years,' said Shubhangi Vashisth, senior principal research analyst at Gartner. 'Innovations including edge AI, computer vision, decision intelligence and machine learning are all poised to have a transformational impact on the market in coming years.'


Government organizations around the world are adopting artificial intelligence (AI) technologies to help them achieve their public purpose or mission, but government employees are still concerned about the technology's impact, according Gartner

"Thirty-six percent of government respondents in the 2021 Gartner CIO survey indicated that they planned to increase investment in AI/machine learning in 2021.

Chatbots or conversational agents are leading the way in government AI technology adoption, with 26% of survey respondents reporting they have already deployed them. A further 59% expect to have deployed them within the next three years, according to the Gartner Digital Transformation Divergence Across Government Sectors survey..."


Machine Learning Market 2021
Datamation, October 8th, 2021
The machine learning (ML) market, a subset of artificial intelligence (AI) that focuses on training computer algorithms to automate data processes, is not only growing quickly but solidifying its position in both professional and personal settings

Machine learning benefits users by automating a mix of business operations and everyday use cases for consumers, and more people are realizing these benefits as companies continue to adopt and optimize ML solutions.

Read on to learn about the technology behind machine learning, its applications, and what the market looks like today:


Data and AI companies used to be considered tech companies. But the wave of IPOs and proliferation of unicorns is turning this market into its own sector. Our question is how sustainable is this MAD new world?

"While much of the world closed down during the COVID-19 pandemic, the gates opened wide for financing early and late-stage startups in the data and AI space. A team at FirstMark Capital, led by partner Matt Turck, has issued the latest of its annual encyclopedic data and AI landscapes. At one end of the spectrum, Turck and colleagues wrote, there is the maturation as evidenced by the breakout IPOs of Snowflake and Confluent, reassuring the VC community that revenues and growth are real and that the onrush of funding is not triggering a replay of the dot com bubble..."

The Way We AI Now
InfoWorld, October 4th, 2021
Better data infrastructure has provided a big boost to AI's growth, but some things still require a human

"We've been overselling current capabilities of AI for years, but that doesn't mean it doesn't have a bright future. That's perhaps why Stanford University researchers conceived of a 'One Hundred Year Study on Artificial Intelligence' (100 years!) back in 2016, with plans to update the report every five years through 2116, charting the progress of AI along the way. Five years after the inaugural report, the study authors recently released the second report.

The TL;DR? We've made 'remarkable progress' in just five years, on the back of ever-improving data infrastructure, yet we still fall 'far short of the field's founding aspiration of recreating full human-like intelligence in machines.' What we are discovering, however, is the importance of meshing human and machine to achieve better outcomes. Is it 'true' AI? Not as originally envisioned. But arguably it's better..."


What Is Artificial Intelligence (AI)
ITProPortal, October 4th, 2021
AI technology can be found in almost every industry, but what is it?

"What is artificial intelligence (AI)?

Artificial intelligence is a branch of computer science concerned with the development and study of machines that are capable of learning, making decisions, planning, problem-solving, and demonstrating other features of natural (e.g. human) intelligence.

AI is used in almost every industry in the world to facilitate repetitive tasks, generate new insights, and organize and understand vast amounts of information. Today, AI tools are readily available to businesses of all sizes, from entrepreneurs to enterprises, and companies that fail to make full use of AI are destined to fall behind the competition.

Here's a look at what AI does and how businesses can use it in everything from sales and marketing to customer service and operations..."


Where AI Has Made Real Progress
InfoWorld, October 4th, 2021
Better data infrastructure has provided a big boost to AI's growth, but some things still require a human

"We've been overselling current capabilities of AI for years, but that doesn't mean it doesn't have a bright future. That's perhaps why Stanford University researchers conceived of a 'One Hundred Year Study on Artificial Intelligence' (100 years!) back in 2016, with plans to update the report every five years through 2116, charting the progress of AI along the way. Five years after the inaugural report, the study authors recently released the second report.

The TL;DR? We've made 'remarkable progress' in just five years, on the back of ever-improving data infrastructure, yet we still fall 'far short of the field's founding aspiration of recreating full human-like intelligence in machines.' What we are discovering, however, is the importance of meshing human and machine to achieve better outcomes. Is it 'true' AI? Not as originally envisioned. But arguably it's better..."


Will The Cloud Eat Your AI?
TechRepublic, October 6th, 2021
Commentary: The big cloud providers have a lot going for them when it comes to artificial intelligence. Does that mean these cloud providers are the only game in town?

"Abandon all hope ye who enter here" was the inscription Dante read when passing through the gates of hell. Apparently, it's also true of anyone but the big cloud providers when it comes to artificial intelligence, according to an analysis by Bain & Company.

"The CSPs [cloud service providers] are best positioned because of the significant head start they have in using AI on a large scale," the report authors stated. Given that FirstMark investor Matt Turck recently called out how well startups have done in the shadows of the cloud giants, it's worth diving deeper into the strengths the clouds bring to AI. For one, lots of data..."

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