Articles about Artificial Intelligence

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.

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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.

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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.

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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.

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Generative AI tools like ChatGPT have been in the news a lot recently. While it offers many benefits it also brings risks which have led to some organizations banning its use by their staff.

However, the pace of development means that this is unlikely to be a viable approach in the long term. We talked to Randy Lariar, practice director of big data, AI and analytics at Optiv, to discover why he believes organizations need to embrace the new technology and shift their focus from preventing its use in the workplace to adopting it safely and securely.

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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.

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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.

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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.

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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.

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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? 

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IT leaders are grappling with anxiety over the risks of generative AI despite continued confidence in their software-as-a-service (SaaS) security posture.

New data from Snow Software, which surveyed 1,000 IT leaders, finds 96 percent of respondents say they are still 'confident or very confident' in their organization's SaaS security measures, and yet, 'managing the security of SaaS applications' is the top challenge for IT leaders.

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A new study from Lucidworks shows that businesses across the board are planning to increase their investment in AI over the next year, with financial services companies among those leading the charge.

The survey of over 6,000 employees involved in AI technology decision-making finds 94 percent of financial services firms planning to boost generative AI investments within the year. However, the survey found differences depending on location. 100 percent of Chinese financial services employees and 97 percent of UK respondents surveyed say they plan to increase investment, compared to only 91 percent of US companies.

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Earlier this year, several prominent tech leaders came together to sign a letter advocating for pausing development of advanced AI models, citing their potentially "profound risk to society and humanity”. This was swiftly followed by British Prime Minister Rishi Sunak proposing the creation of a new UK-based watchdog dedicated to the AI sector.

Although the move garnered mixed responses, an essential aspect seems to have been overlooked amid this debate -- a legislation-led institutional may not be the most effective or comprehensive approach to regulating AI.

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New technologies will always receive encouragement and criticism from all sides, and artificial intelligence (AI) is no different. People have various opinions, but it’s here to stay and will continue to change how business is conducted.

Not too long ago, it was difficult for people to imagine how the internet and websites could impact their lives. Some dismissed it as a trend and saw little merit in its business applications. Now, companies need to amplify their online presence.

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Earlier this year, Prime Minister, Rishi Sunak, announced his desire to cement the UK as an AI superpower. And it has been all hands on deck since then with an AI summit set to take place in November, government funds being channeled into research, and ongoing discussions around regulation. The UK is certainly determined to secure a podium position in the AI race.

It isn't difficult to understand why such high importance is being placed on AI at a governmental level. Predicted to increase UK GDP by up to 10.3 percent by 2030 -- the equivalent of an additional £232 billion -- embracing AI could hugely benefit the economy, whilst also boosting productivity and efficiency for businesses of all sizes and sectors. In the current economic climate, when all budgets are squeezed and workforces are stretched, AI has the potential to be hugely transformative. As Plamen Minev, Technical Director, AI and Cloud at Quantum, explains:

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