Digital Transformation

AI is changing many industries. In the legal sector it's altering how businesses operate, automating routine tasks and boosting productivity for lawyers.

We spoke to Alon Shwartz, COO and co-founder of Trellis AI, to find out more about AI’s transformative effect on the legal world.

IT and business leaders from UK mid-market organizations have conflicting views on the role of AI in enabling growth and driving productivity, according to new research.

The report from Node4, based on responses from over 600 IT and business leaders across multiple sectors, shows IT leaders rank investment in AI in their top two strategies for improving productivity and efficiency, but it only just makes business leaders' top five.

A new study shows that 92 percent of IT leaders believe the new era of digital transformation will increase digital friction and that less than half (47 percent) of employees have the requisite digital dexterity to adapt to technological changes.

The report from digital employee experience (DEX) specialist Nexthink, based on a survey of 1,100 IT decision makers worldwide, shows a further 88 percent expect workers to be daunted by new technologies such as generative AI.

Traditional business models are changing as the adoption of artificial intelligence increases. In the professional services sector there's still heavy reliance on spreadsheets, but a recent survey reveals optimism about AI's impact.

We spoke to Andy Campbell, director of solutions marketing at Certinia, to learn about the impact AI is having on professional services and his outlook for the market.

At this point in time, it is essential for one’s company to transform digitally in order to stay competitive and work efficiently. Most organizations will pour money into new modern technologies to heavily improve ROI and operational performance while ensuring they stay relevant in the new digital world. However, there is a barrier that stands in the way of achieving the maximum benefits: legacy systems.

Outdated and old software, hardware, and technologies continue to slow down any organization's positive transformation. To make matters worse, legacy systems tend to derail digital transformation initiatives, leading to additional expenses, hidden costs, and delays.

In recent years generative AI has made its way into many areas of business, helping to transform and streamline processes. However, its potential in the procurement space remains relatively unexplored.

We talked to Kevin Frechette, CEO of Fairmarkit, to find out how enterprises can exploit GenAI to gain agility, efficiency, and smarter decision-making in their sourcing decisions.

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.

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.

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.

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.

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.

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.

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.

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.

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