ACSILabs的动态

My Connections and Post Followers have often heard me speak about how #Technology does not cure store problems such as #ShrinkLoss. In this 27-minute podcast, McKinsey & Company are discussing the same message. The first 10 minutes are very telling. People using smart technology and proven best practices like the #ProfitTraxSystem to get UnStuck from old Behaviors, Processes, and Practices are the path forward.

Whilst the big end of town gets all the attention, SMEs are quietly making progress with #GenAI. Sometimes more than their large enterprise counterparts. It was a pleasure joining Jeff Waters on the #BusinessEssentalsDaily podcast to talk about #GenAI in #SmallBusiness. https://lnkd.in/gz4jUfgt

?? Scaling up starts with strong operations! If you’re feeling stuck taking two steps forward and one step back, this episode is for you. Yong Kim sits down with Erica Quigley, CEO of Poka-Yoke Solutions, to uncover what it takes to streamline operations for growth. Learn how to prioritize strategic initiatives despite daily demands, leverage AI to boost workflow efficiency, and build a solid operational foundation that supports sustainable growth. Erica also dives into hiring the right people, effective delegation, and creating consistent client experiences. Catch the full conversation here: https://lnkd.in/e8Brf9EG #KOREStrategies #BusinessGrowth #SalesLeadership #AI #ScalableSuccess #Operations

In this episode of BST?Global’s podcast, The Trailblazers, Gannett Fleming CTO Kevin Switala shares his expectations for the AEC industry in the AI age. Check it out now! https://lnkd.in/gaNZP876 ? ? #Trailblazers #Visionaries #Leaders #BSTGlobal #GannettFleming #AEC #AI #Innovation #Podcast?

Thriving in an age of continuous reinvention: From PwC, their annual CEO survey results: the reinvention imperative (articles + podcast, 34 min 30sec). Will your company still be viable in 10 years? https://lnkd.in/enqvZEeP #Reinvention #GlobalMegatrends #RiskAssessment

How is Artificial Intelligence Transforming Construction? Tired of delays and budget overruns? In this new podcast episode, we dive into BuildSync — an AI-powered platform that optimizes processes, enhances communication, and helps complete projects on time. Discover how technology is revolutionizing the construction industry and making it more efficient. ?? Listen now: https://lnkd.in/dfRmRyWB #ConstructionTech #ArtificialIntelligence #ProjectManagement #AIinConstruction #BuildSync #ConstructionInnovation #TechInConstruction #EfficiencyInBuilding #SmartConstruction #ConstructionIndustry #AIForBusiness

?????? Great podcast full of insightful wisdom "Technology alone is not enough. You need to convert it into changes in the way you run your business, and that starts with identifying what the opportunities are" "If you’re looking to automate the workers, they’re not going to help you. If you’re looking to augment them and help them do their job better—with higher quality in a faster, more productive way—they’re going to help you with those tough questions of how to be more creative."

In this episode of BST?Global’s podcast, The Trailblazers, Gannett Fleming CTO Kevin Switala shares his expectations for the AEC industry in the AI age. Check it out now! https://lnkd.in/eRU6U4eV #Trailblazers #Visionaries #Leaders #BSTGlobal #GannettFleming #AEC #AI #Innovation #Podcast

Our SVP of Global Sales, Shihan Fernando, recently joined the CanadianSME Small Business Magazine podcast to discuss future-proofing your business with #AI innovations like Copilot4DevOps Plus. In this insightful session, Shihan shares common challenges businesses face when integrating AI-driven tools and offers expert advice on navigating these complexities successfully. Don't miss out on these valuable insights! Watch the podcast here: https://lnkd.in/dSJS98sY #productivity #artificialintelligence #Innovation #BusinessGrowth #ModernRequirements #Podcast #copilot4devops #devops

An interesting podcast?with CEOs of?Perplexity.at, LlamaIndex & LangChain. Tackling topics such as RAG vs fine-tuning, challenges of RAG. Among other things emphasizing an importance of being able to evaluate whether fine-tuned model /another element in the RAG pipeline (different chunk size, hybrid retrieval, etc.) actually improved the user experience or, well, not. (#llm, #rag)