Articles about Artificial Intelligence

There was a time when the notion of machines "thinking" was the stuff of fantasy. We had the tin man in the Wizard of Oz but that was fiction, a nice story created in Hollywood. The idea that a computer could think, solve problems, and learn from experience like a human was just too far-fetched in the early 20th century. But, science happens, and in the mid-1950’s, the first program, Logic Theorist designed to mimic human-like skill solving was created and the rest, as they say, is history.

Over the next twenty years, the concept of artificial intelligence evolved. Many thought that the attention artificial intelligence received after the Logic Theorist program was created would propel this new discipline into practical, real-world applications. But there was a problem; computer storage and speed requirements to process the amount of data used for running machine learning algorithms were just not up to snuff. To fully realize the potential of AI, computers needed to get faster with more storage. Lucky for us, computers did get faster, much faster, and as we learned from Moore’s Law, storage increased too, at a rate that eventually caught up to the requirements of AI.

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If the pandemic was a stone, then the wave of digital transformation in its wake is a reverberating echo. 2020 and 2021 saw traditionally slow adopters of new technologies, from the largest financial institutions to local libraries, exploring new ways of providing digital-first experiences in a socially-distanced world. Artificial intelligence was of course decades in the making, but COVID pushed its proliferation to a point that has fully blossomed in the past two years.

Whether you’re a newcomer to the world of AI or its long-term champion, uncertainties both familiar and new continue to impact this ever-shifting landscape. There are, however, a few assurances to count on as AI’s trajectory progresses throughout the year.

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How much of their day do you think sales reps spend selling? All of it? Two-thirds? Maybe half? Nope.

The average rep spends just 35 percent of their time -- fewer than three hours a day -- actively selling. Where does the other 65 percent go? It’s devoured by internal meetings, travel, planning, and all the other peripheral, supporting, and administrative tasks they have to do. And here’s the thing: this trend isn’t unique to sales.

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AI is one of the biggest tech-driven talking points of recent years. It's a debate that also translates into some very big numbers, with the global Artificial Intelligence market predicted to grow in size from $51.08 Billion in 2020 to $641.30 Billion by 2028 in a huge acceleration of investment. For AI, industry hype is increasingly being reflected in reality.

Indeed, organizations across the public and private sectors have already seen widespread benefits, particularly its impact across complex applications such as automation, digital assistance, and data analytics.

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Edge devices, including smart meters, smart home assistants, connected vehicles, and other IoT devices, rely primarily on the cloud for computing resource due to their small size and power limitations.

This means they need a constant data link to work effectively and that brings its own problems. Technology company Cognifiber has announced the development of a glass-based 'photonic chip' that has the potential to revolutionize edge computing.

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The latest annual AI Adoption in the Enterprise survey from O'Reilly finds that over the last two years the number of organizations with AI applications in production has remained steady at 26 percent.

However, many enterprises still lack AI governance. Among respondents with AI products in production, the number of those whose organizations have a governance plan in place to oversee how projects are created, measured, and observed (49 percent) is roughly the same as those that don't (51 percent).

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It's tempting to look at the hype surrounding AI and see it as a solution to all problems. But AI isn't perfect, there have been some notable failures, often due to poorly defined models.

What are the consequences of getting it wrong, and how can businesses ensure their AI projects stay on track? We spoke to Alessya Visnjic, CEO of AI observability specialist WhyLabs to find out.

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Technology is an essential part of any modern business, but what particular tech do companies most want to invest in?

New research from WalkMe surveyed over 1,300 business owners to discover where money is being invested and by whom. 5G tops the list with as 32.9 percent of respondents choosing it as their primary area for investment.

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If you’re a college student and you’ve placed an online food service order, and let’s be honest, that pretty much covers all college students; the chances are high that the delivery was aided and abetted by robot technology. The future has arrived, and even though we’re still waiting for those Jetson’s-promised flying cars, robot foodservice delivery is here.

Robots numbering in the hundreds are buzzing about college campuses and some selected cities in the U.S., U.K., and beyond. The testing, which began pre-pandemic, went into immediate overdrive to fill in the gaps created by the labor shortages and need for social distancing created by Covid-19.

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Artificial intelligence (AI) technologies are unlocking new opportunities for brands and retailers to push the boundaries of online shopping and customer experience. As global retailers are expected to spend $7.3 billion on AI this year and the global market for AI software is expected to reach $126 billion by 2025, AI presents many benefits and opportunities within the context of the eCommerce industry including more targeted marketing and advertising, increased customer retention, efficient sales processes, better product development, and innovative shopping experiences.

Here are eight applications of AI in eCommerce that can take both backend processes and customer-facing experiences for brands to the next level. 

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There has been a lot of buzz surrounding the adoption of artificial intelligence. According to a recent report from McKinsey 57 percent of companies are now using AI in at least one function. But how much is hype and how much is built on a sound commercial base?

We spoke to Mike Loukides, VP of emerging tech content at O'Reilly Media and author of O'Reilly Media's widely-cited AI Adoption in the Enterprise report, to discuss the current state of AI and what lies ahead.

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In a world where switching brands is easier than ever before, customer service is increasingly central to maintaining brand loyalty, and how organizations streamline customer interactions will be critical to a successful strategy. In fact, a survey by PwC found that 32 percent of customers would stop doing business with a brand they love after just one poor experience.

This underlines the speed at which customer expectations are evolving. Many are now demanding a near perfect online experience and with more competition than ever before, organizations need to do all they can to ensure they keep customers on side. This is already being achieved with more businesses adopting the correct omnichannel capabilities but it’s imperative they go one step further and provide a service that makes them stand out from the competition. This is where artificial intelligence (AI) comes into play. 

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Artificial intelligence (AI) and machine learning (ML) seem to have piqued the interest of automated data collection providers. While web scraping has been around for some time, AI/ML implementations have appeared in the line of sight of providers only recently.

Aleksandras Šulženko, Product Owner at Oxylabs.io, who has been working with these solutions for several years, shares his insights on the importance of artificial intelligence, machine learning, and web scraping.

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Recent headlines have brought much-needed attention to questions surrounding algorithmic fairness. Regulators are taking notice. To date, EU officials put forth proposed language for aggressive new AI oversight. The Federal Trade Commission has published governance principles on the responsible use of AI, holding that existing law already empowers U.S. regulators to take corrective action. Additionally, a panel of AI experts testified before Congress about the potential inequities of algorithmic decision systems.

Many argue that increased regulation could stifle innovation, putting some nations at a disadvantage in the global arms race for AI dominance. But if the alternative is to do nothing, we could be creating even bigger risks, threatening our fundamental principles of fairness and equality.

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As per a study, 91.5 percent of the firms are reported to have an interest in investing in artificial intelligence technology. Growth in the use of automation, 5G, databases, cloud computing, and much more are driving the demand for artificial intelligence.

Various industries are incorporating AI in their processes to improve customer experience and business operations. Small and medium enterprises are utilizing this technology to optimize performance and functions at minimum costs.

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