Michael Cutler’s Post

Many AI strategies are too focused on pilots and proofs of concepts that experiment with technology but are difficult to scale beyond the individual use case. My recent article with EY outlines how a well-formed corporate AI strategy must include the creation and management of knowledge assets, creating a powerful foundation for AI as the technology evolves.

It was true for mainframes, true for client server application, and also true for GenAI solutions - good data leads to good results. David Piontek explains the dependency on knowledge management capabilities to scale GenAI. #ShapeTheFutureWithConfidence

Strengthening Gen AI with Iguazio's Data Science Platform Iguazio, acquired by McKinsey in 2023 and integrated into QuantumBlack, enhances AI development with its data science-based platform. As part of QuantumBlack Horizon, McKinsey’s AI development suite, Iguazio addresses key enterprise challenges in moving from AI proofs of concept to live implementations: 1. Scaling: Efficient and effective implementation and scaling of generative AI applications. 2. Governance: Robust guardrails ensure essential monitoring, data privacy, and compliance, mitigating risk. This integration drives AI innovation and experimentation, supporting enterprises in advancing their generative AI solutions. 4o

"DataCebo leverages generative AI to create production-like synthetic enterprise data for robust testing, filling a crucial gap in the market. Discover how their innovative approach is setting a new standard in the industry. #DataCebo #AI #EnterpriseTech"

https://lnkd.in/entri3z8 Enterprise Generative AI: 10+ Use Cases & Best Practices for Enterprises in 2024

Top 5 AI Agent Platforms You Should Know In Giancarlo Mori's latest piece for Substack, he explores five AI agent platforms: crewAI, AutoGen, LangChain, Vertex AI Agent Builder, and Cogniflow. https://lnkd.in/dvF-_G95 #MVYL #EnterpriseAI #AIAgents #crewAI #AutoGen #LangChain #VertextAI #Cogniflow

I’m excited to share my latest blog post about how IAN is on the path to being revolutionized with MLOps! IAN combines multiple models and collective intelligence to deliver unbiased, transparent insights while leveraging a decentralized network. It acknowledges the inherent gaps within individual LLMs and offers a decentralized solution to enhance performance. This integration of MLOps will automate fine-tuning, deployment, and monitoring, paving the way for seamless AI adoption and enhancing the efficiency of IAN for tailored business solutions. Dive into the details to see how MLOps is set to transform the platform's capabilities! 👉 https://lnkd.in/gny-5xZJ I’d love to hear your thoughts and feedback! Let’s discuss the potential impact of these advancements. #AI #MLOps #Innovation #MachineLearning #IAN #ArtificialIntelligence IAN

TL;DR: Generative AI in US State Governments 🚀 Generative AI (Gen AI) is revolutionizing US state governments, offering unprecedented opportunities to enhance service delivery and resident experiences while navigating the challenges of data security and privacy. 🛡️ In October 2023, President Biden's executive order marked a pivotal move towards a "safe, secure, and trustworthy" AI ecosystem, prompting states to follow suit with regulations aimed at leveraging Gen AI's benefits while mitigating its risks. 📜 Key Highlights: - Enhanced Services: States are exploring Gen AI to improve customer experiences, streamline HR processes, and modernize legacy IT systems, potentially saving costs and boosting efficiency. 🌟 - Adoption Roadmap: Leaders are advised to pilot Gen AI in low-risk areas, setting up robust governance frameworks and adoption strategies to scale up effectively. 🗺️ - Busting Myths: Contrary to popular belief, Gen AI is not just for tech experts; it's user-friendly and can significantly contribute to job creation and productivity across various sectors. 💼 - Operational Improvements: From administrative tasks to customer engagement, Gen AI offers tools for decision-making, coding support, and personalized content creation, promising to transform state government operations. 🛠️ Moving Forward: State governments are encouraged to develop Gen AI strategies focusing on adoption, governance, technology and data, talent, and operations. By balancing innovation with caution, states can harness Gen AI's potential to deliver superior services and operational efficiency. 🎯 For a deeper dive into deploying generative AI in US state governments, check out the full article here: https://lnkd.in/emjckHyk

MakinaRocks is proud to be featured in CB Insights’ ‘MLOps Market Map’! As the only Korean company in the ‘AI Development Platform’ category, our Runway platform stands out by automating the full spectrum of AI operations—including DataOps, MLOps, and LLMOps—within a single integrated platform. 🔗 Learn more: https://lnkd.in/gNDWiQht #ai #artificialintelligence #mlops #machinelarningoperations #dataops #llmops #cbinsights #makinarocks

Is your organization prepared for brining AI to all employees? The enterprise landscape is rapidly transforming with the rise of generative AI, and companies are leveraging it to gain a competitive edge. From boosting productivity to streamlining decision-making, this guide from Glean outlines the key strategies and tools every business needs to thrive in the AI-driven future. How is your organization planning to integrate AI in 2024? Learn more in Glean's comprehensive guide on what’s coming next in the world of enterprise AI. https://lnkd.in/gk9MCdUd