Articles about AI

The global artificial intelligence (AI) market is predicted to reach $267 billion by 2027. But concerns have been raised about whether these advancements could replace humans in jobs as technology is being used to simulate human intelligence processes. In fact, approximately 68.5 percent of college graduates think that the development of AI could either take their job away or make them irrelevant in the next few years.

But AI can offer many benefits for human connections and collaborations. Here, we delve into the outcomes of AI and how it can benefit businesses.

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Over 30 percent of cybersecurity professionals think that malicious actors are more adept at using AI to attack their organization than they are at leveraging AI in-house for defense.

A new survey carried out by Wakefield Research for Devo Technology also shows how organizations are struggling to effectively implement AI to aid and augment cybersecurity efforts, with more than 50 percent having to undertake major changes, or reset and start again.

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Digital technology company, Kainos, along with award-winning slow news organization, Tortoise, has produced a report looking at how business leaders should respond to challenges around trust in AI.

Through interviews with twenty international AI experts -- from companies including Accenture, The Alan Turing Institute, and UNESCO -- the report identifies three guiding principles to improve trust in AI.

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In just a few years, energy management has become a real headache. Not only must the growth in electricity consumption be taken into account, but also the reduction in fossil fuels, and the increase in the production of renewable energies, knowing that they operate intermittently -- a complexity that cannot be resolved without massive data collection, high computing capacity and AI algorithms.

While global warming should force us to reduce our energy consumption, on July 15, 2021, the International Energy Agency (IEA) announced an increase in global electricity demand of five percent in 2021 and four percent in 2022. This is a trend that is not ready to be reversed, driven by the increasingly abundant and electricity-intensive technology era, by a global population that should reach 10 billion in 2050 or even by the development of metropolises and megacities that are still energy intensive.

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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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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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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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The latest Cyber Threat Landscape Report out this week from Deep Instinct reveals that bad actors are clearly investing in anti-AI and adversarial attack techniques and integrating these methods into their larger evasion strategy.

It also highlights a change in the way attacks are carried out and says we are now witnessing some groups opting to inflict maximum impact over a shorter time span. These short duration attacks are carried out with the goal of damaging data (its confidentiality and availability), destabilizing a business, and impairing business continuity.

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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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