"AI Deep Dives: Wrappers vs. Multi-Agent Systems"

Is the future of AI truly open source? Many businesses face a pivotal decision: embrace the potential of AI while navigating the complexities of trust and geographical considerations. It was interesting to see one company's approach to helping businesses organically adopt AI, especially given the challenges of usage costs and rate limits associated with cloud-based solutions. The emergence of models like GPT-OSS presents an intriguing option, potentially solving concerns around trust and familiarity for organizations hesitant about international open-source alternatives. Perhaps the key lies in finding a balance between innovation and reliability. Would love to hear your thoughts on the open-source AI movement and its implications for businesses. #OpenSourceAI #AIAdoption #BusinessStrategy #Innovation #ArtificialIntelligence

For clients, the value of agentic AI is clear: faster workflows, lower manual effort, measurable ROI. What excites me most is seeing how quickly these outcomes can scale across industries — turning AI from a concept into business results. #SalesLeadership #AgenticAI #BusinessOutcomes

🚨 AI agents aren’t failing because of the technology. They stumble for much simpler reasons: weak foundations, unclear ownership, and no plan for scale. These aren’t flashy problems — but they’re the ones that decide whether an AI agent becomes indispensable or ends up unused. We’ve unpacked the core reasons AI agents fall short (and what you can do instead) in our latest #HolisticonInsight carousel. 👉 Where do you see the biggest barrier: business case, data, ownership, or scale? #AI #AIagents #DigitalTransformation

🔗 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗰𝗮𝘁𝗰𝗵 𝘁𝗵𝗶𝘀 𝗼𝗻𝗲 𝗳𝗿𝗼𝗺 𝗼𝘂𝗿 𝗯𝗹𝗼𝗴? We launched our 𝗣𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲𝘀 𝗼𝗻 #𝗔𝗜𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝘀𝗲𝗿𝗶𝗲𝘀, diving into the critical elements of responsible AI adoption. Across three posts, we tackled the complexities of AI governance from multiple angles: 1️⃣ 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 & 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀: Building adaptable, human-centric governance frameworks to navigate a fast-evolving AI landscape. 2️⃣ 𝗗𝗼’𝘀 & 𝗗𝗼𝗻’𝘁𝘀: Practical advice on what works—and what to avoid—when developing AI governance strategies. 3️⃣ 𝗘𝘁𝗵𝗶𝗰𝘀 𝗠𝗲𝗲𝘁𝘀 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: Exploring why an ethics-first approach is key to navigating risks and enacting benefits. 💡 Missed out back then? Now’s the perfect time to revisit these insights as AI adoption accelerates globally. 🔗 Catch up with the full series in the comments. #AIRegulation #ResponsibleAI #GovernanceFrameworks #AIInsights #TechPolicy #LumenovaAI

Slow Response Times ❌ Problem: Customers hate waiting for answers. ✅ Solution: IntelliServe AI responds instantly, giving customers what they need in real-time while maintaining a human-like touch. 👉 IntelliServe – Solving everyday problems with AI #CustomerExperience #DigitalTransformation #AI #IntelliServe #IntelliServeAI #AIAustralia #AINewZealand #TradieBusiness #SmallBusinessSolutions #AIAgents #AgenticAI #AIAgent #Agentic #ArtificialIntelligence #AIinBusiness #AIInnovation #ConversationalAI #AIAutomation #MachineLearning #VoiceAI #TechAU #SmartTech #DigitalTransformation

One thing I’ve learned while experimenting with AI automation is that context matters more than anything else. Automation on its own can handle repetitive steps, but when paired with vector databases and AI models, it transforms into something much more powerful. Instead of just following instructions, it can understand documents, extract meaning, and give accurate, context-based responses. This combination is what turns simple workflows into intelligent systems. #AI #Automation #n8n #VectorDatabases #FutureOfWork

Did you know? Almost 70% of LLM calls can be replaced with smaller models (SLMs) cutting costs and improving efficiency 🚀 The future of AI isn’t just bigger models, it’s about using the right model for the right task. Smaller models for speed & scale ⚡ Larger models for depth & reasoning 🧠 Smart hybrid strategies = cost savings + performance gains. #AI #MachineLearning #LLM #Efficiency #ArtificialIntelligence #Innovation #TechTrends

AI & ML are no longer just buzzwords-they're transforming industries in real time. 🚀 At Final Layer, we believe the power of AI & ML lies in solving real-world challenges with data-driven innovation. From predictive analytics to automation, these technologies help businesses make smarter decisions, save time, and create future-ready solutions. The real question isn't whether AI & ML are the future-they're already here. The question is: Are we using them to their fullest potential? #AI #MachineLearning #DataScience #FinalLayer #Innovation #Technology

Most companies focus on the wrong metrics when evaluating AI classification tools. While vendors love to throw around accuracy percentages, the real question you should be asking is: "What's your precision and recall on a confusion matrix?"   Here's the reality check: A model could be 100% accurate but only analyze 100 calls out of millions - making it practically useless. That's why our solution doesn't just deliver 90-94% classification accuracy, but also ensures coverage of over 95% of your customer interactions. Learn how to ask the right questions when evaluating AI vendors and discover what metrics actually matter for scaling insights across your entire customer base.   Ready to stop settling for incomplete AI analysis? https://lnkd.in/d3M-WPr4   #AIAccuracy #CustomerAnalytics #CallAnalysis #MachineLearning #BusinessIntelligence #DataScience #CustomerInsights #AITools #QualityAssurance

IntelePeer & Waterfield Tech Partner to Deliver Agentic AI Frank Fawzi, CEO of IntelePeer, added, “Waterfield Tech has spent decades optimizing complex contact centers. Pairing that expertise with our AI platform, which already processes over 1 billion automated interactions a year, lets enterprises adopt powerful automation at their own pace while maximizing existing investments.” Read More: https://lnkd.in/deMWthdJ #AgenticAIplatform #AI #AITech365 #ConversationalAI #customerexperience #IntelePeer #news #WaterfieldTech