Articles about AI

AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML) -- twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here -- whether we use them or not.

This book helps you lean into the curve and take advantage of AI’s unparalleled and rapidly expanding power.

Continue reading →

A new survey of over 3,000 digital testing professionals reveals concerns about bias, copyright issues and privacy.

The study from testing specialist Applause shows that 90 percent of respondents expressed concern, with 25 percent 'very concerned' that bias may affect the accuracy, tone or relevance of the content produced by AI.

Continue reading →

The rapid adoption and proliferation of SaaS apps has in many cases served to make the job of IT teams more complicated as they seek to manage threats and control costs.

SaaS management specialist Torii is launching a new SaaS Management Platform (SMP) that offers IT teams a one-stop-shop to automate time-consuming tasks, cut their SaaS spend, and obtain quicker, actionable insights.

Continue reading →

Machine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data.

This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space. It begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python -- by using open source datasets or instructing you to create your own.

Continue reading →

According to 800 developer (DevOps) and application security (SecOps) leaders surveyed, 97 percent are using GenAI technology today, with 74 percent saying they feel pressured to use it despite identified security risks.

The research from software supply chain management company Sonatype shows 45 percent of SecOps leads have already implemented generative AI into the software development process, compared to only 31 percent for DevOps.

Continue reading →

2024 is fast approaching, and it seems likely that the new year heralds the same torrent of sophisticated malware, phishing, and ransomware attacks as 2023. Not only are these long-standing threats showing few signs of slowing down, but they're increasing by as much as 40 percent, with federal agencies and public sector services being the main targets.

Meanwhile, weak points like IoT and cloud vulnerabilities are making it tougher for cybersecurity pros to secure the wide attack surface that these edge devices create.

Continue reading →

Quite rightly, many businesses are excited about generative AI and the benefits it can bring. This year ChatGPT reported more than 100 million users, and the market value of generative AI is expected to grow year-on-year.

Currently, it makes sense that businesses want to get in on the act, but many are facing significant challenges navigating generative AI’s rapid emergence. There’s a risk of moving too quickly. It is difficult for businesses to confidently predict how beneficial generative AI will be. In some cases, it could even prove more of a hindrance than a help.

Continue reading →

It's crucial for organizations to have a complete and comprehensive view of all their cloud assets, but the process of discovery can be a difficult one, especially if multiple platforms are involved.

Cloud security platform Orca Security is launching a new AI-powered cloud asset search that is aimed at making the process more intuitive and available not only to security practitioners, but also developers, DevOps, cloud architects, and risk governance and compliance teams.

Continue reading →

The rise of AI has been nothing short of meteoric, especially with the advent of extensive language models like ChatGPT. We're witnessing a technological tide that might not only match, but even eclipse the transformative power of the internet. Every corner of our world, from the intricate complexities of finance to the foundational elements of education, is currently in the throes of a radical transformation catalyzed by artificial intelligence.

Yet, as we march forward in this brave new world of machine learning and digital cognition, there's an ever-looming shadow: the challenge of data privacy. Every digital query, every command we voice, and every interaction we have with these advanced systems invariably deposits bits of our personal information into vast databases. These repositories, managed by the service providers, become de facto vaults of our digital identities. The gravity of this concern hasn't been lost on the world's decision-makers. Countries not yet willing to take the blind leap have started sounding the alarm, and corporate behemoths have begun implementing restrictions on the use of such AI-driven tools.

Continue reading →

Kubernetes management platform company D2iQ is launching new updates to its D2iQ Kubernetes Platform (DKP) that include DKP AI Navigator, an AI assistant that enables enterprise organizations to overcome the skills gap they face in adopting cloud-native technology.

DKP AI Navigator enables organizations to harness more than a decade of the D2iQ team’s experience. It's been trained on D2iQ's internal knowledge base, enabling customers to ask questions and receive real-time responses in a natural, intuitive way. This can reduce the duration and cost of system misconfigurations and downtime while helping organizations overcome the Kubernetes skills gap.

Continue reading →

Mega tech trends like the cloud, the mobile phone era, metaverse and now AI all depend on enabling technologies sitting right beneath the surface hidden from nearly everyone’s view. Their structural integrity depends on the flawless operation of those enabling technologies, which in many cases are Application Programming Interfaces (APIs). As such, their success depends on API adoption. Nowhere is this truer than in the rapid proliferation of AI technologies, like generative AI, which require a simple and very easy-to-use interface that gives everyone access to the technology. The secret here is that these AI tools are just thin UIs on top of APIs that connect into the highly complex and intensive work of a large language model (LLM).

It’s important to remember that AI models don’t think for themselves, they only appear to be so that we can interact with them in a familiar way. APIs are essentially acting as translators for AI platforms as they’re relatively straightforward, highly structured and standardized on a technological level. What most people think of as "AI" should be viewed through the lens of an API product; and with that mindset, organizations can best prepare for what potential use cases are possible and how to ensure their workforces have the skills to put them into action.

Continue reading →

Regulations surrounding the hiring of staff are complex, constantly changing and vary considerably between countries. Throw in increased levels of remote working and it becomes even more of a challenge.

To help employers work their way through these regulations, employment platform Oyster is launching an AI-powered chatbot specifically designed to answer questions about global hiring and remote work regulations.

Continue reading →

Windows Copilot -- Microsoft's latest AI tool -- may not seem groundbreakingly useful yet, but all of this is set to change. Microsoft is currently testing a series of plugins for the artificial intelligence-powered assistant that will make it a valuable asset for getting things done at OS-level in Windows 11.

Rather than simply being a glorified version of the new AI-driven Bing, Windows Copilot's plugins allow for tight integration with Windows 11. This means that users will be able to call on Copilot to change settings, interact with the operating system and apps, and much more. Importantly, by taking a plugin-based, modular approach, Microsoft is helping to ensure that Windows Copilot does not become a bloated behemoth.

Continue reading →

As generative AI tools continue to expand, new doors are being opened for fraudsters to exploit weaknesses. Have you experimented with generative AI tools like ChatGPT yet? From beating writer’s block to composing ad copy, creating travel itineraries, and kickstarting code snippets, there’s something for everyone. Unfortunately, "everyone" includes criminals.

Cybercriminals are early adopters. If there’s a shiny new technology to try, you can bet that crooks will explore how to use it to commit crimes. The earlier they can exploit this technology, the better -- this will give them a head start on defenses being put in place to block their nefarious activities. If tech helps boost the scale or sophistication of criminal attacks, it’s extra attractive. It’s no wonder cybercriminals have been loving tools like ChatGPT.

Continue reading →

Cybersecurity remains one of the most important business investments amid new threats, including those presented by Generative AI. However, as businesses invest in ways to mitigate cyber risk, many are uncertain if the increased spending is helping their organizations bolster their cyber stance -- often because they lack proof.

As new research highlights that fewer organizations feel confident that their business can withstand a cyber attack, how can businesses build and prove their organization-wide preparedness for threats? 

Continue reading →