A third of companies don't know who is managing their AI risks
While 51 percent of organizations rely on their security teams to manage AI risks, 33 percent say that they either lack a dedicated role or are unsure who holds responsibility for AI risk management.
A new report from Wing Security and the Cloud Security Alliance also highlights that only 44 percent of organizations prioritize protecting all their sanctioned applications, while a mere 17 percent include unsanctioned ones as a priority.
DeepSeek -- the Chinese AI that sparked a stock market panic
Today has seen millions of dollars wiped off US market tech stocks by the launch of DeepSeek, the latest Chinese AI that threatens US dominance in the sector.
This is partly because DeepSeek can run on much less powerful hardware than rivals such as OpenAI's o1. DeepSeek also says that its v3 model, released in December, cost less than $6 million to train, less than a tenth of what Meta spent on its most recent system.
New AI assistant aims to streamline cross-platform UI development
Repetitive UI development tasks often don't involve coding and in order to free up developer time from these, Qt Group is launching Qt AI Assistant, an experimental tool for streamlining cross-platform user interface (UI) development.
It gives advice on building application UIs with Qt Framework and automates manual tasks like writing unit test cases, code documentation, and repetitive code. Users request this advice with a prompt window and quick-access commands inside the code editor of Qt Creator (used for creating and modifying cross-platform apps).
Increasing business process complexity could lead to chaos
A new report shows 82 percent of organizations fear 'digital chaos' due to increasingly complex, interconnected, and automated processes. According to the report, a lack of control has increased compliance risks for 82 percent of organizations, while 77 percent report higher risks of core business processes failing.
The study from Camunda highlights that organizations now manage an average of 50 endpoints to execute tasks that are part of a process in their business. This is an increase of 19 percent over the past five years, and is contributing to growing business risk.
Why strong data foundations are essential to implementing AI [Q&A]
Lots of organizations are rushing to embrace AI and hoping to deliver business value. But AI is only as good as the data that underpins it.
We spoke to Julian LaNeve, chief technology officer of Astronomer, to discuss why it's important to fix the foundations before implementing AI solutions.
Key developments and challenges in LLMs [Q&A]
Large language models (LLMs) have undergone rapid evolution in recent years, but can often be viewed as something of a 'black-box' as a lack of transparency makes it difficult to identify how decisions are made, trace errors, or understand biases within the model.
We spoke to Pramod Beligere, vice president -- generative AI practice head at Hexaware, to discuss this along with the tools that are being developed, such as explainable AI and interpretable models, to make AI systems more understandable, trustworthy and accountable.
How much power does your AI use? Most businesses don't know
According to new research only 13 percent of businesses are monitoring their AI’s energy consumption despite escalating power demands.
The study from SambaNova Systems gathered responses from 2,012 business leaders (1,004 in Europe and 1,008 in the US) finds that 49.8 percent are concerned about the energy and efficiency challenges posed by AI.
Supply chain 'butterfly effects' what are they and how do you navigate them? [Q&A]
The world is a pretty unstable place at the moment, which can lead to problems when it comes to making decisions on whether to invest in new technologies -- particularly in the context of a rapidly changing landscape for supply chains.
We spoke to Jonathan Barrett, CEO of Kallikor, to discuss how a new generation of AI-powered digital twin technology can help businesses to anticipate changes brought about by events outside their control, and adopt efficiency-driving technologies, such as robotics and automation, with confidence.
Enterprises risk falling behind in AI adoption
Despite the excitement around AI as a transformative force, many enterprises are struggling to adopt the technology in meaningful ways, according to a new survey from Unily.
This has resulted in a growing gap between AI 'haves' and 'have nots,' where enterprises adopting AI tools for their people are making quicker gains than those without. At the same time employees who are open to using AI tools increasingly want more exposure to them and may even choose employers who are early AI adopters over those who are slower to adapt.
UK government sets out plans to turbocharge AI use
Artificial intelligence will be unleashed across the UK to deliver a decade of national renewal under a new plan announced by the government.
The Prime Minister has agreed to take forward all 50 recommendations set out in the AI Opportunities Action Plan released last year, in a plan to make the UK ‘irresistible’ to AI firms looking to start, scale, or grow their business.
Delivering return on investment from GenAI [Q&A]
For many people AI has been seen as an answer to all their problems. But a recent Gartner report suggests we could be entering a 'trough of disillusionment' as the biggest challenge when adopting GenAI is estimating and proving the business value.
Getting that value needs creative thinking and integration of GenAI with other technologies that can benefit from its ability to analyze, summarize and create content.
94 percent of organizations now use GenAI apps
New research from Netskope Threat Labs has found that 94 percent of organizations are now using GenAI apps, but interestingly more than 99 percent have controls in place to mitigate the risks that they pose.
Organizational use of GenAI has grown from 81 percent of companies using the apps in 2023. ChatGPT continues to be the most popular genAI app, being used in 84 percent of organizations.
Interest in learning AI skills soars
Newly released usage data from the O'Reilly online learning platform reveals that interest in AI-related skills has surged dramatically, with the most pronounced usage increases seen in topics like prompt engineering (456 percent increase), AI principles (386 percent increase), and generative AI (289 percent increase).
Use of content about GitHub Copilot has seen a dramatic increase too, by an impressive 471 percent, reflecting developers’ enthusiasm for tools that enhance productivity.
The importance of modernizing cyber defenses [Q&A]
The state of high-profile cyber incidents in recent years has highlighted the fact that defenses need to be kept up to date to provide adequate protection.
AI and machine learning have the potential to transform security operations to enhance protection against emerging threats. We spoke to Gurucul CEO Saryu Nayyar to get her view on how protection technologies are evolving and why this is so crucial.
AI agents and what they mean for the enterprise [Q&A]
Artificial intelligence is creeping into more and more areas of business and consequently we’re seeing it used for ever more complex work.
We spoke to Trey Doig, CTO and co-founder at Echo AI, to find out more about AI agents and how they can help solve problems and carry out tasks.
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