Articles about Artificial Intelligence

A new survey of more than 400 CISOs in the US and UK reveals that 72 percent are concerned about security breaches related to generative AI.

The study from Metomic finds that CISOs from both the US and UK rank data breaches as their top security concern. Data breaches are continuing to surge across industries, but particularly for healthcare, finance, and manufacturing organizations. According to industry reports, US companies experienced 3,205 data breaches last year (up from 1,802 in 2022), with the average cost of a data breach in the US climbing to $9.48 million in 2023.

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It’s no secret that artificial intelligence (AI) is transforming software development. From automating routine tasks to enhancing code efficiency and optimizing testing processes, AI is helping developers save time, money, and resources. It can also analyze code to detect bugs, security vulnerabilities, and quality issues more effectively than traditional models. If you’re thinking there’s a "but" coming, you’re right.

The downside to the benefits of leveraging AI technologies in software development is that it can also enhance the capabilities of malware developers. As such, the proliferation of AI is not necessarily fueling new cyberattacks, it is simply creating an even distribution of enhanced proficiency for both legitimate and malicious actors.

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Coding with AI For Dummies introduces you to the many ways that artificial intelligence can make your life as a coder easier. Even if you’re brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you.

With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable.

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Artificial Intelligence (AI) is only accelerating its adoption among global corporate enterprises, thus CEOs and business leaders are positioned at the confluence of innovation and ethics, as it relates to implementing AI projects, in their businesses. 

While technical prowess and business potential are usually the focus of conversations around AI, the ethical considerations are sometimes overlooked, especially those not immediately obvious. From a perspective that straddles the line of business leadership and technical acumen, there are five critical, yet often missed, ethical considerations in AI practices that should be part of your due diligence in starting any AI projects: 

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While many introductory guides to AI are calculus books in disguise, this one -- Applied Machine Learning and AI for Engineers -- mostly eschews the math.

Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company.

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Mentee Robotics has pulled back the curtain on MenteeBot, a personalized humanoid robot that fully integrates AI across all operational aspects.

Founded in 2022 by AI experts, Mentee Robotics has been working quietly behind the scenes for the past two years. The company’s prototype humanoid robot represents a full end-to-end operation cycle, from verbal command recognition to complex task fulfillment. This includes advanced feats such as navigation, locomotion, scene understanding, object detection, localization, and natural language understanding.

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 Whether it’s the company’s commitment to the cloud, to developing its Office suite or being a lead player in the artificial intelligence (AI) revolution, Microsoft remains the top provider of enterprise workplace tools. Despite no shortage of competition, Microsoft passed Apple earlier this year as the largest company in the world with a market capitalization of more than three trillion dollars.

Over the last few years, much has been made of Microsoft’s investment in AI. It is the lead investor in ChatGPT and has now rolled out Copilot, its own AI offering for the workforce. Copilot is an awesome tool, which leverages and trains publicly available code to provide users with suggestions and solutions to work challenges. Used properly, Copilot offers enhanced productivity and streamlined software development processes to users.

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Generative AI (Gen AI) is no doubt the new “white hot” technology, with tremendous potential for transforming Source-to-Pay processes. In fact, AI can deliver cost savings of up to 40 percent according to research by Oxford College of Procurement & Supply. With its widespread adoption and inclusion in digital transformation initiatives across every industry, Gen AI has become a must-learn technology. It has the potential to improve productivity of Procurement teams tremendously to eliminate time consuming and repetitive tasks and free up time for more strategic thinking. In fact, Gen AI can reduce time spent on some procurement processes by up to 60 percent.

This enables Procurement teams to elevate their strategic impact and spend time on more creative aspects of the function that have a bigger impact. 

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Artificial intelligence is making its way into many areas of the tech industry, with the introduction of large language models making it much more accessible.

One of the areas where it's having a big impact is software testing, where it allows companies to provide better support to existing software teams and refocus their efforts on development.

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Conversations around artificial intelligence and the threat it poses to humanity have been building for years. The launch of ChatGPT (or generative AI) nearly a year ago thrust the issue to the forefront of the global agenda.

Discussions have reached such a fever pitch that in April this year, technologists including Elon Musk signed an open letter begging AI teams to pause development. Despite it being widely condemned, the letter underscored how seriously the world is considering AI risks.

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Artificial intelligence is just about impossible to avoid, and not content with packing Windows with AI-powered features, Microsoft is doing the same with PowerToys.

Details are currently a little thin on the ground, but the popular collection of utilities is due to gain a new module called Advanced Paste. Microsoft has not yet revealed much about the upcoming tool, but the schedule of events for next month's Build conference includes a session called "PowerToys Advanced Paste with Local AI".

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There's a lot of talk at the moment about how the use of AI opens up businesses to additional risk. But is AI itself the issue or is it the way in which it's integrated with other applications?

We talked to Ran Senderovitz, chief operating officer of Wing Security, to discuss how enterprises need to re-prioritize their security to address the real attack surface, the SaaS apps that leverage AI.

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A new survey of almost 1,800 security leaders and practitioners in 14 countries, finds 74 percent of respondents believe AI-augmented cyberthreats are already having a significant impact on their organizations, yet 60 percent believe they are currently unprepared to defend against these attacks.

The study from Darktrace shows 71 percent of respondents are confident that AI-augmented security solutions will be able to detect and block AI-augmented threats. However, only 26 percent fully understand which types of AI are used in their security stack today.

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No technology, especially in its early adoption phase, is without fault. Even with the popularity generative AI has gained in both the eyes of businesses and consumers alike, its imperfections cannot be glossed over. Hallucinations and biases in training data, among other issues, are leading business owners to hesitate when considering adoption.

While some early adopters have found ways to adopt large language models (LLMs) as they exist today, many feel they are left with essentially two options. Wait until improvements come or governmental guidelines are put in place to ensure the safe use of the technology, potentially being left behind, or adopt now and without letting AI touch business-critical systems. Neither of these options is truly viable, so where can businesses go from here? Diving below the surface coverage of gen AI to understand both its pros and cons will help modern businesses to determine where they can safely implement LLMs tomorrow.

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Spotify's new AI Playlist feature adds an AI component to the creation of playlists on the site. All it takes is to feed the AI some text and it does the rest.

Feed it "sing along songs while riding on a pony in Colorado", "songs while waiting for the microwave to go 'ping'", or "songs for boring bus rides in downtown LA", and you should get a list of matching music almost instantly.

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