We are thrilled to support as media partners the event "Data Centers & National Security Summit". National Harbor, USA | Jun 24, 2026 Join the event: https://lnkd.in/dq9QjDAi
AI Time Journal
Internet Publishing
San Francisco, California 10,026 followers
Helping leaders navigate the real-world impact of AI on business, infrastructure, and society.
About us
AI Time Journal is an executive publication covering enterprise AI adoption, infrastructure, and real-world deployment. We feature in-depth interviews and insights from founders, CTOs, and operators building AI systems in production environments across industries. Our audience consists of decision-makers and practitioners focused on practical AI integration rather than consumer hype.
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https://www.aitimejournal.com
External link for AI Time Journal
- Industry
- Internet Publishing
- Company size
- 11-50 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
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Primary
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28 Geary St
San Francisco, California 94108, US
Employees at AI Time Journal
Updates
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AI Time Journal reposted this
📢 New Episode of Humans & AI Show — featuring Jimmy Mesta 🤙 , Co-Founder & CTO of RAD Security! What happens when AI becomes both the attacker and the defender in cybersecurity? In this episode, Jimmy shares: 🔹 Why security teams must fight AI with AI as threats become faster, smarter, and more automated 🔹 How AI is already generating vulnerabilities and attack patterns faster than humans can keep up 🔹 The rise of “bot vs. bot” defense — where autonomous systems detect, correlate, and respond to attacks in real time 🔹 How AI reduces alert fatigue, speeds up triage, and acts as a co-pilot for overwhelmed security teams 🔹 Why foundational practices — like clean data, workflows, and context — are essential before layering AI on top 🔹 The reality: AI won’t eliminate threats, but it will redefine how we defend against them 💡 “AI isn’t optional in cybersecurity anymore — it’s the only way to keep up with AI-powered threats.” — Jimmy Mesta If you want to understand the new cybersecurity battlefield — where machines defend against machines — this conversation is for you. 🎙️ Listen now: https://lnkd.in/eeDa6ksm Host: Flor Laorga | Humans & AI Show powered by AI Frontier Network #AI #Cybersecurity #AIvsAI #HumansAndAI #Security #Automation #FutureOfWork #ResponsibleAI
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Big data development: 8 Steps to Success - An article by Anastasiia Zharovskikh Read the article: https://lnkd.in/djtD3_UH
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We are thrilled to support as media partners the event " 2nd annual AI Compute Summit". Amsterdam, Netherlands | May 19, 2026 Join the event: https://lnkd.in/dR9gYY4K
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AI Time Journal reposted this
💡 Patterns Emerging Across Enterprise AI Conversations with CEOs and AI leaders point to a transition from building AI systems to operating them at scale. These insights draw from recent interviews published via AI Time Journal and AI Frontier Network. Several patterns stand out: ✦ AI is collapsing layers into orchestration Across customer experience and engagement platforms, systems are moving toward real-time orchestration rather than stacked tooling. → Vasili Triant (ujet.cx) — Why AI Is Replacing CRM Layers, Not Enterprise Systems Read the article: aitj.nl/triant-crm → Ethan Gustav (Infobip) — Building Always-On Fan Engagement Through Conversational AI Read the article: aitj.nl/gustav-infobip ✦ Governance is becoming operational infrastructure From education to compliance, governance is embedded directly into system design. → Jim Wetekamp (Riskonnect, Inc.) — Connected Risk Intelligence for the AI Enterprise Read the article: aitj.nl/wetekamp-risk-ai → France Q. Hoang (BoodleBox) — Building Governable AI Systems for Universities Read the article: aitj.nl/hoang-governance ✦ The real failure point is operational, not technical Most AI initiatives stall at the boundary between models and real workflows. → Jeff Fettes (Laivly) — Why Most CX AI Pilots Fail at Scale Read the article: aitj.nl/fettes-cx-ai → Casey Hite (Aeroflow Health) — Engineering Predictable Access in AI-Driven Healthcare Operations Read the article: aitj.nl/hite-healthcare-ai → Niraj Ranjan Rout (Hiver) — Embedding Human-Centered AI Across the Customer Service Lifecycle Read the article: https://lnkd.in/dN2aChzd ✦ Infrastructure discipline is the constraint Scaling AI requires compute, orchestration, and system reliability discipline. → Nithin Mohan (Hewlett Packard Enterprise) — Why AI Breakthroughs Depend on Supercomputing Discipline Read the article: aitj.nl/mohan-infra-ai → Ravi Teja Alchuri (Assured Telematics) — Engineering Trustworthy AI for Production-Scale Fleet Systems Read the article: https://lnkd.in/dabvHneQ ✦ AI must prove economic value Systems are increasingly evaluated against revenue, cost, or access outcomes. → Jason Fairchild (tvScientific) — Making Agentic Advertising Accountable to Revenue Read the article: https://lnkd.in/dFgf4-4D → Glen Tullman (Transcarent) — Consumer-Directed Care and the Rise of AI-Powered WayFinding in Healthcare Read the article: https://lnkd.in/dUmGDE6w The shift is from AI as capability to AI as operating discipline. #EnterpriseAI #AIInfrastructure #AIOperations
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Vasili Triant — Why AI Is Replacing CRM Layers, Not Enterprise Systems - An article by Martin Russo Read the article: https://lnkd.in/dt7qRVp4
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France Hoang — Building Governable AI Systems for Universities - An article by Martin Russo Read the article: https://lnkd.in/d2UmcX53
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Ravi Teja Alchuri — Engineering Trustworthy AI for Production-Scale Fleet Systems - An article by Martin Russo Read the article: https://lnkd.in/dF5Jdhty
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Jeff Fettes — Why Most CX AI Pilots Fail at Scale - An article by Martin Russo Read the article: https://lnkd.in/dM2xJTap
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Glen Tullman — Consumer-Directed Care and the Rise of AI-Powered WayFinding in Healthcare - An article by Martin Russo Read the article: https://lnkd.in/dUy3KxgQ