Applied AI, automation and CX — organised for the agent and LLM era.
The 2027 edition of Engatica's AI influencers list — researchers, builders, founders and analysts shaping how AI agents and LLMs are built and used.
Security researchers, threat-intelligence leads, journalists and practitioners worth following in 2027 — the updated Engatica cybersecurity influencers list.
Researchers, founders and operators leading in AI and technology in 2027 — the updated edition of one of Engatica's most-linked listicles.
The thinkers mapping where AI, work and society go next — an updated edition of Engatica's digital futurists list.
The business side of AI influence: the executives, analysts and builders whose work decides how AI actually lands in companies — 2027 edition of a classic Engatica list.
The successor to Engatica's Top 200 business & technology innovators list — the leaders setting the agenda across AI, CX, data and digital transformation.
The people who make the Internet of Things legible — analysts, engineers and operators worth following as IoT collides with AI agents.
The scholars, regulators and practitioners who built modern privacy thinking — and now govern how AI systems may use personal data.
Beyond RPA: the practitioners carrying intelligent automation into the agent era — the updated Engatica emerging-IA list.
What LLMOps actually means in 2027 — prompts, evals, tracing, gateways and agent operations — and how it grew out of MLOps. The updated edition of Engatica's LLMops post.
Why CX strategy fails without a CX mindset, and how AI agents change — but don't replace — the work.
How retailers actually use AI in 2027 — support agents, visual search, demand forecasting and the unglamorous integrations that decide whether any of it works.
How leading support teams deploy AI agents in 2027 — scope, grounding, handoff, metrics that matter, and why 'ai customer support' is the highest-value term in conversational AI.
Why ideal-customer clarity decides whether your marketing, product and AI agents work — and a practical method for defining yours from evidence.
A practical programme for teaching a whole company what AI fairness means — updated for the era of LLM agents, from data provenance to incident drills.
The successor to our most-shared trends piece: agents go operational, evals become the moat, small models eat the edge — and five more trends that will decide 2027–28.
What 'squinting strategy' means — and how deliberate blur helps leaders read markets, portfolios and AI bets in 2027.
What LLM agents are, how they work — tools, memory, planning, guardrails — and a build-vs-buy framework for teams shipping their first production agent.
A grounded guide to content AI tools for small business marketing in 2027 — categories, evaluation criteria, and the workflow rules that stop AI content from hurting your brand.
AI agents, LLMs and LLMOps, conversational AI and customer experience, intelligent automation, data strategy, responsible AI, and the people shaping all of it.
The annual editions and lists are reviewed quarterly, and guides are revised when the field moves — a framework reaching 1.0, a regulation taking effect, a role changing. Article pages carry their date, and revisions are made in place at the same address.
Yes. Use the contact page for topics and corrections, and the nominate page for builders who belong in the directory or the rankings.