Life after DevOps -- the new initiatives challenging the status quo [Q&A]
The concept of DevOps has been around since the late 1980s and has been mainstream for the last 15 years or so. But there has recently been discussion around whether open-source platforms like System Initiative are challenging DevOps’ dominance.
We talked to Pablo Gerboles Parrilla, the founder and CEO of Alive DevOps, about what needs to change in how teams build and deploy software, and perhaps more importantly about what shouldn’t.
Generalist teams vs specialist tools -- the enterprise IT paradox [Q&A]
With hyperscalers better able to attract the best talent and headcount tight across the board, most enterprises are leaning heavily on generalist IT teams to manage their environments.
But in many cases the tools they’re expected to use were designed for specialists. Legacy tools like ConnectWise, Device42, or ServiceNow often require deep expertise, complex integrations, or expensive customization making them unsuitable for generalist teams.
How did it do that? Over half of IT leaders not confident explaining AI model decisions
A new report from Anaconda shows 51.4 percent of IT leaders say they’re not very confident in explaining AI model decisions to regulators, executives, or customers.
As a result they’re over-promising and under-delivering, and this trouble communicating creates unrealistic expectations for customers and stakeholders. 26 percent of respondents identify difficulty demonstrating ROI as a top concern. What’s more just 22 percent say they would describe their organization’s AI deployment as ‘strategic’.
Observability data drives key decisions on customer experience and more
The latest Splunk State of Observability report for 2025, released today by Cisco, shows that observability insights are guiding key business decisions in customer experience, product roadmap forecasting, and brand perception.
The study based on a survey of 1,855 ITOps and engineering professionals worldwide, and underscores how observability has evolved beyond an IT function to a boardroom priority. It finds 74 percent believe observability is important for monitoring critical business processes and 66 percent say it is key to understanding user journeys.
Addressing the data protection challenges of rolling out AI [Q&A]
Artificial intelligence is transforming the way that many areas of business operate. But with the benefits also come new risks to corporate data.
We spoke to Rohan Sathe, CEO and co-founder of Nightfall AI, to find out how AI risks exposing sensitive information and what companies can do to protect themselves.
Outdated finance systems drive away talent
Nearly 40 percent of finance professionals would consider changing employers due to outdated financial systems according to new research.
The report from insightsoftware shows businesses are struggling with the need for real-time insights and the younger generation’s demands for tools that eliminate inefficiencies and foster collaboration.
AI delivers time gains but people are still key to productivity
Workers say they are saving an average of two hours per day thanks to AI use. But these perceptions of productivity gains are at odds with the reality experienced by many organisations according to a new report.
A study from the Adecco Group draws on insights from 37,500 workers across 31 countries and 21 industries. It finds confidence in AI usage has surged, with a staggering 71 percent of respondents suggesting that nothing holds them back from using AI, a significant jump from 19 percent in 2024.
AI readiness helps companies gain an edge over their competition
The latest AI Readiness Index from Cisco is based on a study of over 8,000 AI leaders across 30 markets and 26 industries. It finds that what it calls ‘Pacesetters,’ about 13 percent of organizations for the last three years, outperform their peers across every measure of AI value.
Of these Pacesetters 98 percent are designing their networks for the growth, scale and complexity of AI compared to 46 percent overall.
Infrastructure is having a moment -- why it’s finally getting the spotlight [Q&A]
AI, automation, seamless collaboration. These are the technologies that dominate headlines and drive business strategy. But beneath all the buzz, there’s a quiet but powerful shift happening: infrastructure is back in the spotlight.
Just look at Alphabet -- Google’s parent company -- which recently surprised investors by announcing it’s planning to spend a jaw-dropping $85 billion in 2025. That’s $10 billion more than they originally expected. And what’s fueling that massive investment? Nearly two-thirds of it is going toward the nuts and bolts of tech infrastructure like data centers, servers, and everything needed to power AI, the cloud, and our increasingly real-time digital world.
The rise of voice -- is typing holding developers back? [Q&A]
Voice is in the process of replacing the keyboard in ways that could shake the foundations of how developers work, collaborate, and even think.
We spoke with Natalie Rutgers, VP of product at Deepgram, to find out how voice-first development tools are gaining traction and why companies that fail to adapt risk losing their edge -- and their top talent.
US companies dominate as banks race to adopt AI
The leading banks for AI maturity have pulled away from their peers in 2025, consolidating earlier gains and increasingly realizing ROI for their AI investments.
The latest AI Index from intelligence and benchmarking platform for AI adoption in financial services, Evident, shows JPMorganChase, Capital One and Royal Bank of Canada are the three leading banks in AI adoption.
System integrations -- strategic phasing or waterfall implementation? [Q&A]
As organizations continue to navigate complex system integrations, one critical decision that arises is whether to embrace strategic phasing or waterfall implementation. The choice of approach can shape the success or failure of projects, particularly when dealing with large-scale ERP consolidations and replacements.
We spoke with Scott Maggiolo, SVP of information technology at Ribbon Communications to understand the pros and cons of each and how the decision is not one-size-fits-all.
Tech investment is needed to fight geopolitical risk to supply chains
A new report finds that nearly three quarters (73 percent) of UK businesses expect geopolitical risk to intensify over the next 12 months, with 62 percent saying their supply chains can’t deal with the shifting geopolitical sands.
The study from Ivalua, based on a survey of 300 supply chain and procurement decision-makers in the UK, shows the war in Ukraine has negatively impacted confidence in their organization’s supply chain the most (77 percent). This is followed by US tariffs (75 percent), military exercises and testing disrupting major shipping straits (73 percent), tensions between China and Taiwan (62 percent), and the war in Gaza (58 percent).
Skeptic or realist? The contradictions in AI technology adoption
Research released today by The Adaptavist Group reveals deep-rooted contradictions in how companies are approaching and implementing AI technology.
The survey of 900 professionals responsible for introducing and onboarding AI across the UK, US, Canada, and Germany uncovers a major fault line between the 42 percent who believe their company’s AI claims are over-inflated -- the AI ‘skeptics’ -- and the 36 percent of AI ‘realists’ who do not.
AI investment soars but only a tenth of projects are fully deployed
New research reveals that while organizations have nearly doubled their overall AI investment to $27 million (up from $14.7 million in 2024) and 87 percent report that the ROI on their AIOps initiatives has met or exceeded expectations, however, only 12 percent of AI projects have reached full enterprise-wide deployment.
The survey, of 1,200 business decision-makers, IT leaders, and technical specialists, from Riverbed shows organizations report facing several significant barriers to AI implementation. The majority are not fully prepared to roll out AI projects, with challenges including persistent issues with data quality and a gap between leadership optimism and the technical realities of implementation.
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