Articles about Artificial Intelligence

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.

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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.

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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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We know that fraud is on the increase and by their very nature scams can be hard to spot because… Well because they're scams.

Step forward Bitdefender with the launch of a new, free scam detection service designed to help users verify fraudulent online schemes delivered by email, embedded links, text, and instant messaging through collaboration with a chatbot powered by artificial intelligence.

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A new report shows that 79 percent of public sector organizations have started to use AI in production (compared to 83 percent in the private sector) but that trust remains a major concern.

The study, from enterprise resilience platform Splunk, shows trust and reliability in AI-enabled systems -- particularly around cybersecurity tools that employ AI -- continue to be the main concerns for decision-makers (48 percent public, 36 percent private).

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From governments, to entrepreneurs, to enterprises, organizations are looking to understand and exploit Artificial Intelligence to support data-driven decision making. At the heart of this is knowing how AI, and particularly generative AI, operates. Like so much other technology, effective AI is a matter of data analysis.

Put simply, the more data an AI is fed, and the higher quality, the better its analysis will be. This means that the age-old problem of Garbage In, Garbage Out (GIGO) will always be an issue. But there is another, equally crucial issue to consider -- timeliness. 

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Freepik, known for its extensive platform of audio-visual resources, has launched Freepik Pikaso, a new real-time sketch-to-image generator. The tool is designed to make AI image creation more accessible and efficient.

Using new groundbreaking LCM AI technology, Freepik Pikaso allows users to create an image by sketching in real-time. Creations can be further enhanced with the addition of icons, additional sketches, written prompts, or even images from a webcam. Since its beta launch, the tool has been used to create over 10 million AI-generated images.

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One-in-three IT leaders say they are struggling with finding qualified AI and ML talent, and while these are the biggest areas of focus, 43 percent rate their teams' AI and ML skill sets as low.

A new study from Skillsoft of more that 5,700 IT professionals finds skill development is a critical piece of the puzzle for building a competitive organization, though more work is needed to optimise training among technology teams.

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New research shows that businesses are increasing their investments in AI across many areas, but there are challenges and risks that they need to manage.

The study of 1,300 tech leaders from Dynatrace shows 98 percent are concerned that generative AI could be susceptible to unintentional bias, error, and misinformation. In addition 95 percent are concerned that using generative AI to create code could result in leakage and improper or illegal use of intellectual property.

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The artificial intelligence revolution is here to stay, and a large part of the reason is the massive economic impact of the technology on the industries it has touched. Effectively implementing AI into a business’s operation requires an incredible amount of planning and precision, as well as consideration of all of the ethical and regulatory challenges associated with the use of the technology.

One of the primary reasons AI has become such an exciting and dominant technology is its ability to process data faster than human workers. In many industries, we have seen efficiency increase by allowing AI and automation to take over simpler and more labor-intensive tasks, enabling human workers to spend more time on tasks that require a more human quality.

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A changing regulatory landscape can prove difficult for app developers as they need to make sure they remain compliant and keep up with evolving rule sets.

We spoke to Pedro Rodriguez, head of engineering at AI-powered compliance intelligence platform Checks, to find out how AI can help mobile app developers to handle data responsibly and keep up with ever-changing global regulations,

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Meta has separated Imagine, its AI-powered image generation tool, from its chatbot by giving the service its own dedicated website. In breaking the image generator out of its messaging apps, Meta will be hoping to see faster uptake and increased interest.

The idea behind Imagine is much like the plethora of other AI image generators. Using Meta's own Emu technology, it will create four images based on text prompts and descriptions provided by users. Images are securely watermarked to make it difficult to pass off an AI image as a photo or a human-made creation. But the launch of the service will prove controversial as it will forced interested users into creating a Meta account.

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As the recent hype and excitement around Generative AI (GenAI) begins to settle somewhat, we are entering a critical phase where innovation must be more closely aligned with ethical considerations. The impact of AI is already evident in various aspects of life, pointing to a future where, ideally, its use is not only widespread but also guided by principled decision-making. In this context, the emphasis should be on using AI to address appropriate problems, not just any problem.

In particular, the early iterations of GenAI platforms have demonstrated their potential but also the need for careful application. In many organizations, GenAI has already improved both customer and employee experiences, with advanced chatbots capable of mimicking human interaction taking automated customer service to a whole new level by providing quick and relevant responses. In an ideal world, this use case highlights AI’s dual purpose: to enhance human capabilities while maintaining a focus on human-centred experiences.

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The sixth annual Call for Code Challenge launched back in February with a focus on developing AI-powered technology projects that address sustainability to help fight climate change.

Today sees IBM, United Nations Human Rights, and the Linux Foundation announce the winners in the challenge's three categories -- Developer, University, and Independent Software Vendor/Startup.

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As cyberattacks continue to evolve so defenses need to change to keep up. In many cases that means adopting AI.

Enterprise networking and security company Cisco is the latest to embrace this with launch of Cisco AI Assistant for Security.

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