Communications service providers see Gen AI as critical but are slow to implement it


A new study shows 90 percent of communications service providers (CSP) see the profound impact Gen AI will have on business goals. However, deployment of GenAI is still in its preliminary stages, with just 22 percent of CSPs having already implemented solutions.
Research by Analysys Mason for Amdocs shows Gen AI is expected to have a high impact across a variety of areas, such as software development (84 percent), data management (82 percent), monetization (82 percent) and network operations (81 percent).
Enterprises lose millions each year due to poor AI models


Underperforming AI models, which are built using inaccurate or low-quality data, are resulting in misinformed business decisions.
A study for Fivetran, conducted by Vanson Bourne, polled 550 from organizations with 500 or more employees and finds that on average they lose six percent of their global annual revenues, or $406 million, to poor AI models.
Enterprises bank on AI to improve supply chain resilience


New research for supply chain solutions company Cleo, based on a study carried out by Dimensional Research, shows 30 percent of companies plan to use trending technologies like artificial intelligence and automation to better meet supply-chain related business commitments.
It finds 97 percent of companies surveyed invested in supply chain technologies in 2023, with 81 percent stating their supply chain investment delivered business improvement in less than 24 months and 35 percent getting benefits in the same year.
Workplace communications: The role of artificial intelligence and audio-visual solutions


Technology is reshaping the way we work and the convergence of Audio Visual (AV) solutions with Artificial Intelligence (AI) is not only redefining how we communicate but it is also playing a pivotal role in digitizing workspaces and helping organizations achieve their sustainability objectives.
Research from technology analyst Valoir reveals that AI has the potential to automate 40 percent of the average working day, allowing business leaders to increase productivity levels like never before. This trend is expected to continue with the global market size anticipated to see an annual growth rate of over 15 percent between 2024 and 2030.
To get to AGI, we must first solve the AI challenges of today, not tomorrow


If the World Economic Forum in Davos was any indication, AI safety and security will be this year’s top priority for AI developers and enterprises alike. But first, we must overcome hype-driven distractions that siphon attention, research, and investment away from today’s most pressing AI challenges.
In Davos, leaders from across the technology industry gathered, previewing innovations, and prophesying what’s to come. The excitement was impossible to ignore, and whether it is deserved or not, the annual meeting has built a reputation for exacerbating technology hype cycles and serving as an echo chamber for technology optimists.
Flaws in ChatGPT extensions allowed access to sensitive data


New threat research from Salt Labs has uncovered critical security flaws within ChatGPT plugins, highlighting a new risk for enterprises.
Plugins provide AI chatbots like ChatGPT with access and permissions to perform tasks on behalf of users within third party websites. For example, committing code to GitHub repositories or retrieving data from an organization's Google Drives.
Humans represent the biggest security gap


According to a new report, 74 percent of all cyber breaches are caused by human factors, including errors, stolen credentials, misuse of access privileges, or social engineering.
More than two-thirds believe employees are putting the organization at risk through the misuse of email, oversharing company information on social media, and careless web browsing. This highlights the need for staff to receive better training on the risks.
DoorDash introduces SafeChat+ to enhance platform safety with AI


DoorDash, the popular food delivery platform, is taking a big step forward to ensure both the safety and positive experiences of its users.
SafeChat+ is a new feature that leverages artificial intelligence to provide an even safer and better experience for everyone involved. SafeChat+ is designed to review in-app conversations and detect and prevent verbal abuse or harassment between consumers and Dashers.
What Elon Musk's AI warning says about ethical AI in business


The report by Statista forecasts a significant 21 percent net increase in the United States' GDP by 2030, attributing this growth to the integration of Artificial Intelligence (AI). This projection underscores the immense impact AI is expected to have on economic expansion. However, amid this rapid advancement, tech innovator Elon Musk has expressed serious concerns about the need for AI regulation.
Speaking at the Paris VivaTech event, Musk highlighted the potential dangers of unregulated digital superintelligence. His warnings serve as a vital reminder for businesses to reevaluate their use and engagement with AI technologies, emphasizing the importance of a balanced approach to AI integration in the economic landscape.
77 percent of companies have seen breaches in their AI


A new survey of 150 IT security and data science leaders shows that 98 percent of enterprises consider at least some of their AI models crucial to their business success, and 77 percent identified breaches to their AI in the past year.
Yet the study from HiddenLayer shows only 14 percent of IT leaders say their respective companies are planning and testing for adversarial attacks on AI models.
AI use leads to new risks for data security


According to a new study, 89 percent of cybersecurity professionals agree that their company's sensitive data is increasingly vulnerable to new AI technologies.
The study of 700 respondents across cybersecurity roles, conducted by Vanson Bourne for Code42, also finds that 87 percent are concerned their employees may inadvertently expose sensitive data to competitors by inputting it into GenAI. In addition 87 percent are concerned their employees are not following their GenAI policy.
AIOps models deliver limited value say tech leaders


A new study reveals that 97 percent of technology leaders find traditional AIOps models deliver limited value, leaving teams unable to tackle data overload.
The global survey of 1,300 CIOs and technology leaders in large organizations, carried out for Dynatrace, also finds that 88 percent of organizations say the complexity of their technology stack has increased in the past 12 months, and 51 percent say it will continue to increase.
Microsoft is giving click-free access to Copilot in Windows 11


It is no secret that Microsoft has jumped wholeheartedly onto the AI bandwagon, and its Copilot assistant is an important part of this.
Copilot is still in preview, but it has already undergone major work since it first appeared, and now Microsoft is trying to encourage people to use it by making it even easier to access. If clicking a mouse button has been standing between you and a fix of AI-powered assistance, you'll be pleased to hear that click-free access is rolling out to Windows 11 users.
AI integration is among top developer challenges


The biggest software development challenge in 2024 will be incorporating AI into the development process, according to a new report.
The Reveal survey of 585 software developers and IT professionals from Infragistics shows 40.7 percent name this as the top challenge followed by high workload (29.6 percent) and increased customer demands (29.2 percent).
2024 Call for Code aims to harness gen AI to improve equality


This week IBM, along with charitable partner United Nations Human Rights, and program affiliate the Linux Foundation, launches its 2024 Call for Code Global Challenge with the aim of encouraging developers to use generative AI technology to create solutions that improve equitable access to resources and opportunities for historically underserved and vulnerable people.
Participants will have access to a trial version of watsonx, IBM's AI and data platform with AI Assistants, as well as IBM Cloud technology and developer-friendly training and resources to help teams develop their solutions.
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