AI PCs set to boost artificial intelligence at the edge
Research by IDC for chip maker AMD looks at how enterprise IT decision makers are adapting their strategy as high-performance AI PCs begin shipping.
AI PCs feature specialized neural processing units designed to enable AI at the edge. They combine with powerful CPUs and GPUs and are typically built as a single system on a chip, enabling local AI models.
MSPs turn to AI to drive innovation and growth
A new survey from Lansweeper of almost 200 managed service providers across North America and Europe shows 90 percent recognize AI as vital to their growth strategy, with 63.6 percent rating it as 'very important.'
Despite its priority status though only 41.5 percent of respondents report AI integration levels above 25 percent, indicating that many MSPs are still in the early stages of adoption.
Data integrity and complexity are seen as top challenge for DBAs
A new survey looking at the challenges faced by database administrators (DBAs) shows 35 percent of organizations cite data integration as a top challenge.
Additionally, the study from Quest Software shows 42 percent of organizations report that data migrations are a significant obstacle to overcome, with complications in ensuring database reliability and performance.
Manufacturing firms worry their data isn't suitable for AI
A new study finds that 92 percent of those surveyed in the manufacturing industry say AI is a top C-Suite priority and the same percentage agree it provides a competitive advantage.
But the report from Riverbed also shows that 69 percent are concerned about the suitability of their organization's data for AI usage, and only 42 percent rated their data as excellent for completeness and accuracy. It's notable too that 42 percent say their data quality is a barrier to further AI investment.
How businesses are adapting to the challenges of AI [Q&A]
A recent survey found that only 37 percent of businesses are prepared for AI. This means they risk being left behind as competitors embrace the technology.
We spoke to Richard Tworek, CTO at Riverbed about how organizations can embrace AI and how they can succeed in today's rapidly evolving landscape.
Leaders confident about AI training while employees struggle
A new report reveals a growing disconnect between leaders and employees in their perceptions of their AI preparedness.
Corndel's 2025 Workplace Training Report finds HR leaders are confident about their organization's AI readiness, with 88 percent confident in leadership's ability to guide AI adoption and 60 percent very confident that training programs are equipping employees with the necessary skills for digital transformation.
How GenAI adoption introduces network and security challenges [Q&A]
Enterprises are increasingly using GenAI to transform their organization. As they move ahead, they're evaluating their preparedness from a business, safety, skills, and product level. But there's another key factor at the backend that's being overlooked: the network.
Full GenAI adoption introduces significant new challenges and demands on the network, such as bandwidth strain and unique security vulnerabilities. If these demands aren't accommodated, organizations won't realize the benefits of GenAI.
Opening up AI access to unlock decision making [Q&A]
More and more businesses are turning to generative AI in the hope of gaining greater value from their data. But there are issues around governance, access to data and lack of appropriate skills that mean projects can either stall or not deliver as expected.
We spoke to Srujan Akula, CEO of The Modern Data Company, about why he believes that giving 'power to the people' and democratizing AI by putting it in the hands of non-technical users can deliver real business value.
GenAI is changing enterprise priorities with privacy a major concern
The latest Enterprise Cloud Index (ECI) survey from Nutanix shows that that while 80 percent of organizations have already implemented a GenAI strategy, implementation targets vary significantly.
Organizations are eager to leverage GenAI for productivity, automation, and innovation, but they also face critical hurdles in the form of data security, compliance, and IT infrastructure modernization. 95 percent of respondents agree that GenAI is changing their organization’s priorities
Why adopting AI needs a holistic approach [Q&A]
It's an increasingly rare system these days that doesn't claim to have incorporated artificial intelligence in some form or another.
But when implementing AI it's important to look beyond the hype and ensure that it can deliver real value for the business. We spoke to Ajay Kumar, CEO of SLK Software, about the need for a holistic approach to allow enterprises to leverage AI for solving complex business challenges.
The human-centric approach to moving to the cloud [Q&A]
Over the past decade, cloud computing has emerged as a transformative force, promising unprecedented efficiency and scalability.
However, despite the rush for businesses to adopt this technology, many cloud projects still fail to meet their stated objectives
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.
How AI assistants can make sales teams more effective [Q&A]
Most business areas are starting to feel the impact of artificial intelligence, enabling data to be used more effectively to deliver intelligence and outcomes.
Sales, though, has always been about people and building relationships over time, so can AI offer value here too? Nikhil Cheerla, co-founder of sales AI assistant company Nooks, thinks it can, and we talked to him to find out how.
The top barriers to AI success and how to overcome them [Q&A]
With the intense interest in AI and its rapid pace of embrace, organizations are under pressure to swiftly evaluate their data architecture. AI architects urgently need solutions that harness AI to boost revenue streams and streamline operational efficiencies, all while navigating the potential barriers to their success.
David Flynn, co-founder and CEO of Hammerspace, a specialist in the use and preservation of unstructured data, recently shed light on the growing complexity IT teams face in managing data pipelines. This complexity is further compounded as organizations integrate LLMs into AI applications, underscoring the significant obstacles to successful AI adoption.
More task focus, the rise of AI whisperers and improved observability -- AI predictions for 2025
Artificial intelligence has been one of the fastest growing areas in the tech sector over the past few years.
As AI becomes more commonly adopted what changes can we expect to see happening in 2025? Here are some expert views.
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