Governments and social platforms face an escalating challenge: hyperrealistic synthetic media now spreads faster than legacy moderation systems can react. From pandemic-related conspiracies to manipulated election content, disinformation has moved beyond "false text" into the realm of convincing audiovisual deception ...

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Artificial intelligence is moving from hype to action, but not all AI is created equal. The current wave of interest primarily focuses on large language models (LLMs) and generative AI tools that create content, summarize data, and automate human workflows. Useful as they are, these systems still depend on people to guide and apply them. Instead of waiting for prompts, agentic AI can decide on a course of action, connect with other systems, and carry out tasks on its own. That level of independence is already drawing interest from attackers, who are testing ways to use automation and adaptation to gain an edge in cyberattacks ...

According to the Cisco AI Readiness Index, a small but consistent group of companies surveyed — the "Pacesetters," about 13% of organizations for the last three years — outperform their peers across every measure of AI value in the global study of over 8,000 AI leaders across 30 markets and 26 industries ...

A recent MIT study reveals that 95% of enterprise AI solutions fail, with 85% of AI project failures attributed to data readiness issues ... The reality is stark: AI effectiveness depends primarily on data quality, and organizations consistently struggle with data discovery, access, quality, structure, readiness, security, and governance. These challenges demand expert solutions, yet they often receive less attention than the flashy "AI will change everything" narratives that dominate industry discourse ...

In the age of AI, digital friction threatens to undermine AI's potential, exacerbate tech problems and have a corrosive effect on employee productivity. Office workers already endure 3.6 tech interruptions and 2.7 security update disruptions per month. This equates to nearly $4 million in lost productivity annually for a company with 2,000 employees ...

AI can be a critical part of the IT puzzle by helping to accelerate incident response, reduce downtime and keep customers happy. These gains can shift executive attitudes, as leaders come to see AI agents not just as experimental tools, but as reliable partners in mission-critical situations. It's no surprise, then, that 81% of IT and business executives now trust AI agents to take action during a crisis ...

Every week, a new AI tool claims to reinvent the enterprise. But beneath the hype, many enterprises are grappling with a sobering reality: the GenAI solutions they've deployed are falling far short of expectations ...

While AI adoption is accelerating, concerns about reliability and trust make it challenging to transition initiatives from concept to production, according to the 2025 State of Observability Report from Dynatrace ...

New Relic's 2025 Observability Forecast ... found that with a median annual cost of high-impact IT outages reaching $76 million, organizations are investing in AI-strengthened observability to detect and resolve issues faster. Here are 5 key takeaways from this year's report ...

Artificial intelligence is transforming network operations (NetOps), supercharging automation, enabling new predictive capabilities, improving visibility and powering nearly continuous optimization ... When trained on live network data and large libraries of validated automations, GenAI and agentic AI can help NetOps teams be more productive while making networks more reliable, easier to manage and secure. And as agentic AI becomes more powerful, AI's overall usefulness to the NetOps team will increase exponentially ...

Organizations across the globe face unprecedented cybersecurity challenges as their digital footprints expand across cloud, on-premises, and remote environments. Ransomware continues to surge as one of the top global cyber threats, with attacks increasing(link is external) by 33% globally in 2024 and organizations experiencing an average of 1,200 weekly attacks — the highest in three years ...

Every organization is scrambling to adopt AI, but many are missing out on one of its most transformative benefits: the ability to increase creativity within and across teams ... To carve a better path forward, organizations should approach AI rollouts in a strategic way that keeps people at the center of work. Here, I share three ways to build better rollouts that can help organizations harness AI as a creativity multiplier ...

In MEAN TIME TO INSIGHT Episode 18, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses networking for artificial intelligence ... 

Executive trust in AI agents and reliance on AI across business operations is growing, according to the PagerDuty AI Resilience Survey — 81% of executives trust AI agents to take action on the company's behalf during a crisis, such as a service outage or security event ...

Aryaka recently conducted a series of surveys in three distinct industries (manufacturing, transportation, and business services), looking deeper at key trends and pain points in networking and security. Despite differences in industry priorities and digital maturity, IT leaders in these sectors are all clearly facing an uphill battle to secure increasingly hybrid, cloud-connected, and distributed infrastructure without overwhelming their limited resources ...

IT Asset Management (ITAM) has undergone significant transformations in response to the evolving IT landscape ... The rise of the cloud has introduced new complexities, such as the need to manage SaaS applications and maintain visibility into cloud assets. The integration of AI has further accelerated these changes, driving ITAM teams to collaborate more closely with other IT stakeholders ... This shift is essential for addressing the multifaceted challenges of modern IT environments ...

AI roles now dominate tech market growth, according to ICT in Motion: The Next Wave of AI Integration, a new report from the AI Workforce Consortium ...

The observability landscape has transformed dramatically over the past decade. What began as traditional application performance monitoring (APM) has evolved into something more sophisticated and deeply essential to business operations. As we look at where the industry is headed, three themes have emerged that will define the future of how organizations monitor and manage their digital infrastructure ...

The biggest change in Cloud Managed Services 2.0 is how it unites domains that once operated in isolation. CloudOps, FinOps, DevOps, SecOps, and AIOps now work as a single, cohesive team instead of separate departments competing for resources and priorities. This matters because modern businesses operate at a pace that leaves traditional methods behind ...