How to succeed with #GenerativeAI: Qlik's strategy-first approach

💸 Want to waste money fast? Jump into AI without a plan. That’s where we see most companies slip: focus on tools, ignoring outcomes, and scratching their heads when the numbers stay flat. Stop the cycle. Swipe through the slides for a simple, research-backed roadmap (from Gartner, Massachusetts Institute of Technology, and OpenAI) that will help you pick the right first steps. __________ Starting your first AI experiment or ready to go big? Let ApexTech find your biggest roadblock, run a pilot in weeks, and show you ROI before you go all in. #AI #DigitalTransformation #BusinessStrategy #CIO #ApexTech

🤝 The success of enterprise AI comes down to one thing: the right partnerships. The latest research shows: 66% of AI test cases succeed with strategic co-partnerships vs. only 33% when built alone. Bekir Atahan, VP of the Data & AI Center of Excellence at Experis, shares why: enterprises unlock the real value of AI when they stop going it alone. Inside Experis AI Innovation Lab, powered by Sophie, we co-develop custom AI solutions that align with business priorities, scale with enterprise needs, and deliver measurable impact. Read the blog. 👉 https://bit.ly/4lVFDRu #AI #Innovation #StrategicPartnerships #Experis

How much time does your team waste searching for information from past projects? It's a common problem in the consulting world. We call it "imprisoned knowledge"—valuable insights locked in static reports. Companies like IntraSync Industrial are tackling this head-on with AI. By integrating their platform, you can create a centralized brain for your organization, enabling your team to surface critical data in seconds, not days. This frees up your best minds to focus on what truly matters: solving complex challenges and delivering exceptional value to clients. What are your thoughts on AI's role in the future of engineering and consulting? #AEC #ConsultingLife #EngineeringExcellence #AI #DigitalTransformation #IntraSyncIndustrial https://lnkd.in/gpq3-GBC

Why do so many AI projects succeed in demos but fail in production? Albert Lie, CTO at Forward Labs, presents Eval-Driven Development (EDD) as the solution to “demo hell.” • Pitfalls of traditional AI development • EDD for GenAI: evaluation-first iteration • Case studies from prototype to scale 🎯 Talk: Escaping AI “Demo Hell” 🔗 https://lnkd.in/dRj_kJPR #GenAI #AgenticAI #EvalDrivenDevelopment #AIEngineering #AIPipelines #LLMApplications

#ICYMI Ep. 32 of #UTCTheIntersection featuring Ernest Wohnig is now available! https://loom.ly/FhVGa1g Listen now to discover: ✅The real-world potential of AI in utilities ✅Risks and challenges of implementation ✅Common misconceptions—and a few wild ideas—about AI ✅What utilities can do today to prepare for tomorrow Don’t miss this deep dive into the future of utilities and technology. #AI #Utilities #Technology #EnergyInnovation

ESOMAR’s recent checklist, '20 Questions to Help Buyers of AI-Based Services for Market Research and Insights', urges buyers to start by evaluating a provider’s AI expertise, impact, and track record. Fuel Cycle Autonomous Insights combines decades of market research experience with advanced AI engineering. FC AI cuts research timelines from weeks to minutes — while preserving rigor and accuracy. Our lessons from enterprise deployments ensure transparency, scalability, and trusted results from day one. Get the checklist: https://lnkd.in/d6MQ83Yj #AI #MarketResearch #Insights #ESOMAR #FuelCycle 

Why 95% of Enterprise AI Investments Fail The tech industry is full of hype – and nowhere is this truer than with AI. The latest MIT report is an eye opener. In this blog we reveal: ✅ What the MIT report says ✅ Why 95% of generative AI investments fail ✅ How AI mirrors other enterprise deployments ✅ Examples where AI is delivering tangible value ✅ Why business process integration and ROI alignment are critical 👉 Read it here: https://lnkd.in/ewxMv3n6 #ArtificialIntelligence #EnterpriseAI #GenerativeAI #TechStrategy #DigitalTransformation #AIInvestments #MITResearch #AIinBusiness #TechMarketing #BusinessStrategy

🤖 Why an AI strategy matters more than just use cases At the AI & Data Summit in Berlin, our CTO, Dr. Lars Schwabe, will share key lessons learned from AI implementation projects. His talk titled “Your AI use cases are not your AI strategy: Insights from our AI implementation projects”, will highlight why companies need more than isolated projects to unlock the full potential of AI. 📅 September 17 🕑 2:20 – 2:40 pm 📍 AI in Action Stage Join us to explore how a holistic AI strategy can drive sustainable business value beyond individual use cases. What do you think is the biggest challenge for companies when turning AI pilots into long-term strategy? 🤔 #LHINDKnowsIT #LHINDAI

🚨 Only 5% of custom AI projects deliver measurable business value. That’s the conclusion of a recent MIT Media Lab report. But as Gregory Verlinden, VP Data & AI at Cegeka, explains — we prefer to focus on the success stories, and they’re out there. Because when #AI succeeds, the impact is transformative: from Fluvius smart meters predicting issues before they arise, to Q-Park smart parking making cities more livable, to D-Stress preventing burnout with AI. In his latest blog, Gregory shares why these results don’t happen overnight — and how focus, persistence, and a people-first approach make all the difference. Curious how the long game pays off? 👉 Read the full story here: https://lnkd.in/euWdh2fS #ShapingDigitalTogether

AI Agents vs. Agentic AI: Evolving Taxonomies and Industry Impact A recent paper in Information Fusion offers a comprehensive taxonomy distinguishing AI Agents—modular, task-oriented systems—from Agentic AI, which embraces dynamic multi-agent collaboration and persistent autonomy. The study details architectural differences, application domains ranging from customer support to research automation, and addresses unique challenges such as hallucination and coordination failure with innovative solutions. As organizations build more robust, scalable, and explainable AI, understanding these paradigms is key to strategic adoption and innovation. 🔗 Read more: https://lnkd.in/gsrfvCdu #AIAgents #AgenticAI #AIFuture How does your organization plan to navigate the rise of Agentic AI? Share your strategies below!