Why not all AI is created equal and how the wrong choice could be hurting your business [Q&A]
AI seems to be everywhere at the moment. But despite the fact that it has become ubiquitous, it isn't all the same.
Steve Benton, VP of threat research for Anomali, talked to us about why not all AI is equal and what businesses need to consider to ensure they get the most from the technology.
Microsoft rebrands its iOS and Android web browser to Microsoft Edge: AI Browser
With, as yet, nothing by way of an explanation, Microsoft has decided to rename the iOS and Android versions of its Edge web browser.
Now known as Microsoft Edge: AI Browser the change of name does not appear to have been accompanied by any significant changes. The mobile web browser does, like so many Microsoft products, include its fair share of artificial intelligence-powered features as the company continues to bet big on the importance of AI.
Navigating generative AI adoption to minimize risks and maximize benefits in the workplace [Q&A]
Numerous businesses have embraced generative AI technology to enhance their operational efficiency, boost productivity and foster innovative ideas.
However, it is important to be aware of the potential legal and financial consequences associated with the use of ChatGPT and similar AI systems. We spoke to Sujay Rao, CPO at Sirion to find out more.
More integration of LLMs, a switch to private clouds and more emphasis on machine identity -- enterprise IT predictions for 2024
Enterprises are major users of technology and it impacts on most areas of their operation. The big challenges in recent years have come from the switch to remote and hybrid working, and new technologies like generative AI.
So what can we expect enterprise IT to face in 2024? Here are some expert views.
Generative AI is forcing enterprises -- and policymakers -- to rewrite the rules of cybersecurity
Following a year full of excitement and uncertainty, and more opinions about the future of AI than anyone could count, AI providers, enterprises, and policymakers are now rallying around one thing: AI security.
The White House recently followed in the European Union’s footsteps to introduce a new set of standards for the secure development and deployment of AI models. But while regulators triangulate their policies and AI companies work to comply, the real responsibility to proceed safely will remain with enterprises.
AI-powered attacks, AI potential and tailored cloud -- healthcare tech predictions for 2024
Technologies like AI are set to impact on many industries but perhaps more than most on healthcare. This is also an industry that's uniquely attractive to hackers thanks to the mix of personal and scientific information that it holds.
So how will healthcare benefit -- or suffer -- from technology in 2024? here's what some experts with their fingers on the pulse think.
The future of legal roles in an AI-driven world
The advent of artificial intelligence (AI) and large language models (LLMs) marks a significant turning point for the legal sector. Recent studies suggest a dramatic change is on the horizon, with up to 44 percent of tasks in law firms potentially being automated by AI. This impending transformation necessitates a re-evaluation of legal roles, requiring professionals to adapt and collaborate with AI while also preparing for the emergence of new positions.
AI promises to greatly enhance the efficiency and effectiveness of legal services, from streamlining the creation of legal documents, contracts, and agreements to automating repetitive tasks, to ensure accuracy and uniformity. AI's capability extends beyond mere data extraction; it can rapidly summarize complex documents like depositions and complaints and transform text into actionable insights. This will empower legal professionals to better understand and manage legal obligations, which will significantly enhance client services.
Sophisticated attacks, changing authentication and quantum threats -- cybersecurity predictions for 2024
Why AI panic in 2023 will yield to AI pragmatism in 2024
2023 rapidly became 'The Year of AI Panic' as governments and the press entered into an AI frenzy.
Progress in Generative AI, spearheaded by GPT4’s release in March, offered users incredible tools with a visible utility and practical benefit. Its impact could be felt across their personal and business lives. From that point there has been a buzz around AI with a snowball effect across the media fueled by sudden engagement from the most senior levels of government across the planet. 2023 has seen the AI train fly across our screens, and the pace of developments from a technical, policy and regulatory perspective has been almost impossible to keep up with. So too has the FUD -- fear, uncertainty and doubt that accompanies disruption.
New risks, new opportunities and democratization -- AI predictions for 2024
AI, efficiency and a rise in citizen developers -- development predictions for 2024
How AI is weaponized for cyberattacks
A new report from Abnormal Security highlights real-world examples of how AI is being used to carry out cyberattacks.
Generative AI allows scammers to craft unique email content, making detection that relies on matching known malicious text strings infinitely more difficult.
AI governance: Five essential design principles to keep businesses ahead of the curve
In 2023, we witnessed the beginnings of a global AI-driven revolution. With recent studies revealing that one in six UK organizations have already embraced artificial intelligence (AI), these technologies have solidified their position in driving the next wave of digital innovation.
However, until now, organizations have been largely focused on AI experimentation, which has limited the benefits they’ve unlocked. They are now seeking to mature their strategies and embrace AI in a more transformational manner, by embedding these technologies into their core business processes. The launch of solutions like the Open AI GPT Store towards the end of 2023 is set to accelerate this drive for AI maturity, making it easier for organizations to embed ready-built use cases into their operations.
Mobile app developers turn to AI for testing
The use of AI tools for mobile app development and testing is growing, and developers and testers are keen to further expand the use of these tools, according to a new report.
The study from Kobiton finds 60 of respondents say they are currently using generative AI tools in their QA cycles to update scripts or code, 55 percent are using these tools to analyze test results, and 47 percent are using them to generate test scripts.
The Deep Tech revolution -- Part 1: White papers
Artificial Intelligence, Internet of Things, Cybersecurity, Blockchain: these words have become common terms we hear everyday, dominating the news and business landscapes worldwide under what we have come to know as Deep Tech. According to recent research, in 2021 the deep tech market registered a total revenue of US$431.1 Million, and is expected to grow by 21 percent between 2022 and 2032 for a value of US$ 3,733.8.
Start-ups and companies within the Deep Tech space are all about innovation and advancing technologies, often diving into niche parts of already narrow fields. They run the business side differently, they bring revolutionary approaches to traditional dynamics in the work environment, and even create new roles and job titles not seen in other companies. Staying true to their nature where science and innovation plays an important role, these companies engage in specific activities that best compliment their primary immediate goal of research and development, whether this is about technology, sharing knowledge or growing their community.
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