Why Executive Visibility into MLOps Matters: Silent Failures, Cloud Spend, and Decisions

What once sounded like hype is now driving real change. Cloud and AI are reshaping how enterprises operate, from speeding up innovation cycles to turning data into decisions that deliver measurable ROI. In this fireside side, our CEO Jay Modh and Praveen Jayakumar, Head of AI/ML Solutions Architecture, Amazon Web Services (AWS) unpack how Fortune 1000s are moving from pilots to production, treating ROI and agility as non-negotiables, and pushing AI into the core of business strategy. The conversation, guided by Bhuvaneswari Subramani, also looked ahead at what’s next for enterprises. Watch the full conversation here: https://lnkd.in/g73qd38Q For those looking to dive deeper into how FinOps is reshaping cloud efficiency, we’re hosting a webinar with Apptio, an IBM Company on October 8. Details here: https://bit.ly/46sCKmK  #CloudNative #AI #EnterpriseAI #DigitalTransformation #BusinessGrowth #TechLeadership

Did you know that the adoption of AI tools in data management has exploded over the past few years? As companies seek to enhance their data-driven decision-making, understanding the innovative open-source Snowflake AI Toolkit becomes essential. In our latest article, we explore how this toolkit empowers data professionals to harness AI capabilities effortlessly, breaking barriers in data analytics and cloud computing. By incorporating AI tools, teams can streamline processes, reduce costs, and ultimately make more informed decisions. This evolution in technology carries significant implications for businesses. Embracing these advancements not only fosters efficiency but also drives shared learning within the developer community. We encourage everyone to dive in and consider how these tools can transform your approach to data science and machine learning. What are your thoughts on leveraging AI in your workflows? Let's discuss! #Snowflake #DataScience #MachineLearning #AI #OpenSource #DataCloud #Innovation #Community https://lnkd.in/gCpkawmT

Repeat with me please, the key considerations for leading a #GenerativeAI strategy within an organization are: 1. Establishing a clear governance framework for responsible AI development and deployment. 2. Fostering a culture of innovation and continuous learning. 3. Identifying high-impact use cases aligned with business objectives. 4. Always avoid: Prioritizing cost savings over ethical considerations as well as relying solely on external vendors for Generative AI solutions (you need at least a couple of AI practitioner in your organization) #cloudcomputing #cloud #cloudsolutionarchitect #platformengineer #AI #ai #aws

Data Myths Are Costing Businesses Big Too many leaders believe “more data = better decisions.” The truth? 73% of company data goes unused because it’s trapped in silos. When data is unified and powered by AI, decisions become faster, smarter, and more accurate. Don’t let myths hold your business back the facts tell a different story. #TechVora #DataStrategy #DigitalTransformation #Cloud #AI #BusinessGrowth

With 92% of companies planning to increase AI investments over the next three years, cloud IT practitioners must plan for the future of analytics. Read the eBook to learn how AI-ready data fuels better BI. #BusinessIntelligence #CloudIT

🚀 Completed Google's Cloud Technical Series: AI Agents edition, and I'm blown away by the depth and practical applications! Here's what made this learning journey exceptional: ✨ **Hands-on Experience**: Building real AI agents, not just theory 🎯 **Enterprise Focus**: Learning how to transform organizations with custom gen AI agents 🛠️ **Google's Expertise**: Taught by the team actually developing cutting-edge AI technology 📈 **Business Impact**: Understanding how AI agents solve specific business challenges Key takeaways: • AI agents aren't just chatbots - they're autonomous systems that can reason, plan, and execute complex tasks • The shift from traditional automation to intelligent, context-aware agents is happening NOW • Google Cloud's Vertex AI platform makes deploying production-ready agents more accessible than ever For anyone looking to stay ahead in the AI revolution, I can't recommend Google's technical series enough. The combination of theoretical depth and practical implementation is exactly what we need to bridge the gap between AI hype and real business value. What's your experience with AI agents? Are you seeing them transform workflows in your organization yet? #AI #MachineLearning #GoogleCloud #AIAgents #TechEducation #FutureOfWork #GenerativeAI

Struggling with slow, costly AI infrastructure that hinders your machine learning projects? In the fast-paced world of AI and ML, deployment speed and scalability can make or break your success, impacting everything from training models to real-time inference. Efficient, flexible GPU cloud solutions are essential to stay competitive and innovate rapidly. Runpod is here to transform your AI development experience. ✔️ Deploy GPU workloads in seconds with ultra-fast cold-starts, reducing wait times from minutes to milliseconds ✔️ Scale your ML inference and training effortlessly with serverless autoscaling across 30+ regions globally ✔️ Manage containers easily with support for public and private image repositories, ensuring a seamless development process Get Started with Runpod Today - https://lnkd.in/dg8xEnvT #DigitalMarketing #marketing #SaaS #B2B #SMB

Don't miss this one! Amazon Web Services (AWS) Enterprise Strategists Arvind Mathur and Matthias Patzak break down 5 key steps for driving real business impact with agentic AI — from choosing the right use case to measuring outcomes that matter. 🔹 Focus on business value, not just tech 🔹 Build cross-functional teams 🔹 Pilot in parallel, at scale 🔹 Measure what moves the needle 🔹 Experiment before the C-suite asks A must-listen for CTOs and business leaders aiming to unlock 10X value from AI. 🎧 https://lnkd.in/eqdrrNXW #AgenticAI #CTO #DigitalTransformation #AWS #AILeadership #EnterpriseAI

Don't miss this one! Amazon Web Services (AWS) Enterprise Strategists Arvind Mathur and Matthias Patzak break down 5 key steps for driving real business impact with agentic AI — from choosing the right use case to measuring outcomes that matter. 🔹 Focus on business value, not just tech 🔹 Build cross-functional teams 🔹 Pilot in parallel, at scale 🔹 Measure what moves the needle 🔹 Experiment before the C-suite asks A must-listen for CTOs and business leaders aiming to unlock 10X value from AI. 🎧 https://lnkd.in/eqdrrNXW #AgenticAI #CTO #DigitalTransformation #AWS #AILeadership #EnterpriseAI

Without the right data, AI is just math. But with a trusted AI Data Cloud, AI becomes truly enterprise-ready—driving real business impact. In this carousel, I unpack: ✅ Why poor or siloed data stalls AI projects ✅ How a modern data cloud provides unified, secure access ✅ The flow of enterprise value: Data → AI → Action ✅ Real-world use cases: Customer 360, Predictive Supply Chain, and AI Agents Snowflake’s AI Data Cloud powers analytics, AI, data engineering, apps, and collaboration—all in one secure and scalable platform. 📍 Want to see it in action? Join us at the Snowflake World Tour in a city near you: 👉 https://lnkd.in/gU7yXS-r #Snowflake #AIDataCloud #SnowflakeWorldTour