How can AI help redesign the office for a hybrid world? In his latest piece for The AI Journal, Scott Wiley, FASAE, CAE, AAiP, CEO of CoreNet Global, explores how predictive analytics, digital twins, and AI-driven experience insights are reshaping workplace strategy — and why the office must now earn the commute. A must-read for leaders navigating the future of work. Full article below: Https://https://lnkd.in/g-rPjyhW #AI #ArtificialIntelligence #FutureOfWork #HybridWork #CorporateRealEstate #Leadership #DigitalTransformation
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If you don't follow us, you're missing out on the latest things happening in AI. We're a publication committed to helping people learn about AI from different peoples perspectives. Our team isn't made up of journalists or editors. We have 2,000+ contributors who share their industry use cases, frameworks, strategies, and success tools for people to read for absolutely free with no paywall or subscriber opt-in wall. Our content will always be free to the reader who are our number 1 priority. Examples of brands that have contributors write for us Infosys IBM Monday.com ByteDance Workday Team Viewer KPMG Databricks Shopify LEGO GP Bullhound Qualtrics New Relic HPE Dell WIX Perkins Coie Panasonic Adobe Schneider Electric BMW Ring Central Seeking Alpha Splunk O’Reilly Citi Bank Site Core Verint Keysight N Able NICE Neo4j Wipro CDW Thought Spot Publications our articles have been referenced / sourced/ used in The guardian Tech Crunch Yahoo Yell The Independent Medium LA Weekly Wikipedia Substack Note IEEE Entrepreneur Tech Target Techopedia Buzz Sumo Hackernoon Perplexity Futurism Finastra Global Banking & Finance
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https://aijourn.com/
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Employees at The AI Journal
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Kit Cox
Founder and CTO at Enate | Helping businesses run world-class services with Orchestration and AI | Forbes Technology Council member | Featured in…
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Michael Kleinberg, MBA
CEO & Executive Partner at Mesh Digital, LLC - Meshing business and technology, which we like to call Digital for clients across markets and…
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Zahra Shah
Award-Winning Responsible AI & Frontier Tech Expert | Portfolio Board Director & Advisor | Investor | Entrepreneur | Charity Leader | Media…
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Kyle Dalton
Updates
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Quality assurance isn't just about testing more—it's about testing smarter. Anna Kovalova, CEO and co-founder of Anbosoft, is redefining how teams approach QA audits by combining structured frameworks with AI-driven insights. Her philosophy is clear: "Quality at speed is the real benchmark." Even experienced teams develop blind spots—regression cycles stretch, automation underdelivers, and hotfixes become the norm. Kovalova's QA Process Audit framework makes these issues visible and actionable, helping one team cut regression time by half while significantly reducing hotfixes. What sets her approach apart? It's the collaboration between AI analysis and human expertise. Teams complete adaptive surveys about their testing practices, AI identifies patterns and opportunities, then QA experts tailor recommendations to each company's unique context and risk profile. Beyond the technical work, Kovalova champions a people-first approach to quality assurance. She mentors women in tech, supports veterans entering the field, and advocates for practical AI adoption over buzzword-driven initiatives. With 15+ years in software quality leadership, she's building a future where AI amplifies testing capabilities while keeping testers at the center of decision-making. Read the full story: https://lnkd.in/e-ZBKJEY
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NEW: How Ada Manchester and GMIoT are building the North’s next generation of AI talent We’ve just published a deep-dive into one of the UK’s most ambitious regional digital skills partnerships — Ada Manchester and the Greater Manchester Institute of Technology (GMIoT). Their collaboration is reshaping how young people access AI education, and how employers across the North West tap into AI-native talent equipped for the fast-evolving digital landscape. 💡 Key insights from the piece: • Manchester’s growth as a leading European tech hub is creating huge demand for advanced digital skills • Ada’s cohorts include 66% ethnic minority learners and achievement rates 31% above the national average • New AI-focused apprenticeship routes launching in 2026 aim to deliver the talent pipeline employers are already asking for • The Ada–GMIoT partnership is emerging as a model for inclusive, employer-led AI education Read the full story here 👇 https://lnkd.in/gyFSDqV6 #AI #Education #DigitalSkills #TalentDevelopment #Inclusion #TechEcosystem #Manchester #SkillsForTheFuture #GMIoT #AdaManchester #AIJournal
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A Practical Path to AI Adoption in Legacy Systems The AI Journal is pleased to feature the work of Sapan Pandya, a software engineer and independent researcher with extensive experience designing and supporting regulated, high-performance enterprise systems. He has delivered engineering solutions across full-stack platforms, microservice architectures, and field-deployed edge computing environments that handle high transaction volume. His background reflects deep technical insight into how long-running systems can evolve to support modern AI capabilities. His new article presents a clear and practical framework for introducing AI into legacy environments that require consistent and predictable behavior. Many organizations still rely on systems designed years ago, and Sapan outlines methods that help teams modernize safely while protecting operational stability. Key insights from his piece include • how to identify stable AI entry points within complex enterprise workflows • how to prepare data pipelines to reduce prediction errors and silent failures • how to apply integration patterns that preserve uptime and system clarity • how to introduce safeguards that maintain transparency and reliability • how to deploy AI features in controlled stages to avoid disruption • how to measure outcomes with simple metrics that support continuous improvement His guidance supports teams working to strengthen system reliability while adopting AI in a responsible and structured way. The approach reflects practical engineering judgment shaped by experience across regulated and high-volume environments. Read the full article: https://lnkd.in/g2mqyipM #AI #DigitalTransformation #EnterpriseTech #LegacySystems #SystemModernization #SoftwareEngineering #Innovation #TechLeadership #TheAIJournal
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What happens when AI moves to the wild? UPM’s latest piece in AI Journal by Anssi Käki highlights how forestry is becoming a real-world proving ground for enterprise-scale AI, improving decision-making, accelerating fieldwork and strengthening sustainable practices. One example: Aarnibot, a generative AI assistant built to support foresters on the ground with instant guidance, operational data, and multilingual interaction, all in the most remote and rugged of terrains. Why does this matter? • GenAI can close the gap between insight and action, directly in the field. • For carbon-critical ecosystems, speed and accuracy are crucial. Read the full article here: https://lnkd.in/gvet32Ys #Forestry #AI #MachineLearning #UPM #Sustainability #ForestManagement #GenerativeAI
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🚀Fixing Britain’s Broken Jobs Market: JobAdder Launches Adder Intelligence A world-first for recruiters! JobAdder’s Adder Intelligence cuts admin by up to 60% and turns hiring decisions from days into minutes – all without extra clicks or workflow changes. ✨Key Capabilities: • Smart Summary: Quickly shortlists top candidates. • Smart Sync: Keeps your candidate database accurate – silently in the background. 💡Why it matters: Recruiters are under pressure with growing workloads. Adder Intelligence automates the heavy lifting, so teams can focus on hiring people, not managing software. “Recruiters shouldn’t have to talk to their tools. Adder Intelligence handles the heavy lifting so they can focus on hiring people.” – Martin Herbst, CEO “We’re entering a new era of AI – one that is powerful, simple, specialised and genuinely useful.” – Joel Delmaire, CPO 🔗Read more about this breakthrough on AI Journal: https://lnkd.in/gmtV9y4c #Recruitment #AI #HRTech #Hiring #JobAdder #Innovation #TalentAcquisition
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In our recent article, we explore how leading AI Note Takers like Krisp, Otter.ai, Notta|AI meeting notes & audio transcription, and others are reshaping meeting productivity. From real-time transcription to automated summaries and action items, these AI note-taking apps show where workplace efficiency is heading next. Article here: https://lnkd.in/gSXcnPEG
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🚨 Shadow AI: Cybersecurity’s New Blind Spot 🚨 The AI Journal proudly highlights the crucial insights of Mery M.S. Zadeh, Senior Vice President of AI Governance and Risk Consulting at Lumenova AI. 🌟 With 16 years of unparalleled expertise in AI governance, risk management, and regulatory frameworks, Mery is a leading force helping organizations navigate the complex, evolving landscape of AI security. 🔐 Her groundbreaking work sheds light on the growing risk of “shadow AI” — where employees inadvertently expose sensitive data through unvetted generative AI tools like ChatGPT, Claude, and Copilot. This unseen threat is far more dangerous than traditional shadow IT, demanding proactive governance and intelligent safeguards. 💡⚠️ Mery’s strategic vision urges enterprises to establish AI governance frameworks, implement real-time AI guardrails, and educate users—turning vulnerabilities into strengths. Her guidance is vital as companies balance innovation with cybersecurity in today’s AI-driven world. 🌍🤖 We're grateful for Mery’s leadership and expertise advancing responsible, secure AI adoption. For AI governance and risk consulting excellence, look no further than Mery Zadeh and Lumenova AI. 👏👏 Read the full article: https://lnkd.in/euVZFUa4 #AI #Cybersecurity #AIgovernance #ShadowAI #RiskManagement #Innovation #Leadership #LumenovaAI
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Most people think the biggest barrier to AI adoption is employee resistance. But new data shows that is not the case. In a survey of 532 enterprise leaders, 92% say AI is a priority, and more than half identify as enthusiastic champions. So, what is really slowing progress? Integration. Enterprises are not struggling with a belief in AI. They are struggling to make it work across complex systems, vendors, and skill gaps. It is time to shift the conversation. AI will not deliver value until integration becomes the priority. 👉 Read the full article here: https://lnkd.in/ezZrxY5Z #AI #AIOrchestration #AITransformation #AIIntegration #Zapier #TechLeadership #FutureOfWork
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The shift from automation to orchestration is here, and it’s redefining what it means to be an “AI-ready” enterprise. In his article for The AI Journal, Shabbir Dahod lays out why traditional automation isn’t enough, and how enterprises must instead build systems that reason, adapt, and coordinate across data, teams and partners. Clean, interconnected data > model sophistication Human-to-Agent (H2A) systems let people set direction while agents execute Governance, auditability and trust aren’t nice-to-haves — they’re strategic enablers If your 2025 strategy still centers on automating workflows, it’s time to broaden the lens. Invest in orchestration intelligence and you shift from “what happened” to “what should happen next” and that’s where AI drives real bottom-line value. Give the article a read and let us know your thoughts. https://lnkd.in/e5ECzbpc #AI #DigitalTransformation #EnterpriseTech #Orchestration #CIO