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TechFinitive’s Opinions section is reserved for articles written by guest authors, who are typically industry professionals with something interesting to say.
Articles under the Opinions section are not sponsored and can only mention companies with whom the guest author has no direct or indirect association. They are edited by our editorial team before publication, just like any regular article.
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As Internet traffic baselines continue to rise, traditional ideas of peak demand are changing. This article explores what the shift means for DDoS protection, capacity planning and network resilience.
Enterprise AI depends on workflows that are secure, governed and designed for autonomous agents. Anand Narasimhan explains the six characteristics of agent-ready document workflows.
IT managers are going to be spend the next six months firefighting patches in a race against time: good AI versus bad AI
Digital transformation succeeds when organisations prioritise people as much as technology. Jon Pickering explains why effective change management is essential for clinician adoption, operational readiness and lasting success.
Pete Hannah argues that ransomware has fundamentally changed the role of backups. Rather than being an insurance policy for accidental data loss, backup and recovery are now central to cyber resilience because attackers increasingly target backup infrastructure itself.
Finance teams are under pressure to move beyond historical reporting. This article explores how AI, connected data and autonomous finance can deliver continuous insights, better forecasting and faster decision-making.
AI is transforming life sciences, but success depends on trusted data, governance and collaboration across clinical research.
AI talent is bolting from Google to Anthropic, writes our man in San Francisco, as IPO riches push salaries and housing costs into absurd territory. But beneath the fireworks and trillion-dollar hype, the mood is turning uneasy...
AI can transform healthcare research, but only if organisations build the data infrastructure needed to support it at scale.
As AI adoption accelerates, enterprises face soaring token consumption and rising operational costs. This article explores why LLM cost optimization is becoming essential for sustainable AI deployment.
AI reshaping drug discovery is moving from theory to practice. Here's what life sciences leaders need to get right.
As AI moves from pilot projects to enterprise-wide deployment, organisations are discovering that success depends less on technology and more on data quality, governance, accountability and operational maturity.
What does first-class innovation look like when there’s no blueprint to follow?
As organisations focus on AI models and hallucinations, they often overlook the real issue: data foundations. This article explores why enterprise AI trust depends on traceable, verifiable data relationships rather than model selection alone.
AI is transforming manufacturing, rendering legacy ERP selection obsolete. Learn why traditional strategies fail and how to align your approach with an AI-native era.
Discover how embedding AI across drug discovery accelerates timelines and integrates R&D workflows to drive real outcomes in pharmaceutical innovation.
As organisations deploy AI agents at scale, many are granting them broad access without the safeguards given to human employees. This article explores why AI agent governance, orchestration and specialised agent architectures are essential for reducing risk.
Digital trials and real-world data could transform women sleep research and improve sleep apnoea diagnosis rates.
As Healthcare AI moves beyond pilots, trust and governance are emerging as the foundations of safe, scalable adoption.
As AI agent adoption grows, enterprises face escalating token consumption and infrastructure costs. This article explores LLM cost optimisation strategies, from micro-agents and smaller models to improved visibility and ROI measurement.