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X-WR-CALDESC:Events for DevOps.com
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DTSTART:20240310T070000
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DTSTART;TZID=America/New_York:20240911T110000
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SUMMARY:Predicting Business Outcomes with Enterprise Time Series Data
DESCRIPTION:While Large Language Models have largely solved the unstructured data generation problem\, forecasting and optimization are the next AI frontier to conquer. How can business leaders leverage generative AI to more accurately predict and plan for their products\, sales\, people\, and budgets – especially in today’s dynamic business environment? \nJoin us for a lively discussion where we’ll challenge conventional approaches and dig into what it takes to successfully transform your enterprise decision-making with generative AI. \nWe’ll discuss how to: \n\nPick the right AI approach for the right use case\nUnderstand and unlock the value of your enterprise time series data\nPlan for uncertainty with probabilistic modeling\nEnsure data security and governance of enterprise data\nAdopt a change management approach for scalable AI deployment\n\nKey Takaways: \n\nThe right generative AI approach unlocks business insights from time series data to significantly increase the accuracy and the adaptability of your forecasting and planning\nAI models must train on enterprise data\, not internet data\, to ensure integrity\, security\, and governance\nEnterprises must prepare for generative AI with a comprehensive change management approach focused on innovation\, education\, collaboration\, and ethical use of AI.
URL:https://devops.com/webinars/predicting-business-outcomes-with-enterprise-time-series-data/
LOCATION:Live Webinar\, Boca Raton\, FL\, United States
CATEGORIES:Techstrong Learning Webinar
ATTACH;FMTTYPE=image/png:https://devops.com/wp-content/uploads/2024/08/OnDemand-2024.09.11-IkigaiLabs-LandingPage-1540x660-DO.png
ORGANIZER;CN="DevOps.com":MAILTO:webinars@devops.com
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240911T150000
DTEND;TZID=America/New_York:20240911T160000
DTSTAMP:20260804T231904
CREATED:20240724T023059Z
LAST-MODIFIED:20240725T204302Z
UID:171710-1726066800-1726070400@devops.com
SUMMARY:Accelerating AI/ML Feature Set Engineering and Deployment
DESCRIPTION:The rapid deployment of AI and ML models is pivotal for businesses looking to optimize processes and capitalize on market opportunities. However\, many organizations need better tools for the data engineering and AI/ML pipeline deployment phases\, which can extend the journey from raw data to production-ready models to 2-4 months. Understanding and overcoming these obstacles is crucial for achieving faster and more effective AI/ML outcomes. This webinar will explore the intricacies of data preparation\, feature engineering\, and ML pipeline deployment\, providing attendees with valuable insights into streamlining these processes and improving collaboration across teams. \nWe are gathering a distinguished panel of experts in ML engineering\, data science\, and domain-specific applications to share their knowledge\, experiences\, and insights. Our panelists will engage with the audience in a dynamic and interactive format\, addressing key challenges and discussing practical solutions for accelerating AI/ML deployment. \nWhat You Will Learn: \n\nIdentify the primary challenges in data engineering and pipeline deployment and strategies to address them.\nEffective methods for improving communication and collaboration\, and reducing dependence between domain experts\, data scientists\, and ML engineers.\nInnovative tools\, agents\, and frameworks to automate and streamline data prep\, feature engineering\, and ML model deployment processes.\nBest practices for managing and monitoring ML feature sets to ensure a smooth transition to production.
URL:https://devops.com/webinars/accelerating-ai-ml-feature-set-engineering-and-deployment/
LOCATION:Live Webinar\, Boca Raton\, FL\, United States
CATEGORIES:Techstrong Learning Webinar
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ORGANIZER;CN="DevOps.com":MAILTO:webinars@devops.com
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DTSTART;TZID=America/New_York:20240911T150000
DTEND;TZID=America/New_York:20240911T160000
DTSTAMP:20260804T231904
CREATED:20240912T131517Z
LAST-MODIFIED:20240912T180732Z
UID:172893-1726066800-1726070400@devops.com
SUMMARY:Kubernetes Optimization Strategies
DESCRIPTION:As Kubernetes continues to be a pivotal element of our modern infrastructure\, understanding how to tackle important challenges such as resource management\, scaling\, and complexity becomes indispensable. Join us for an insightful webinar on “Kubernetes Optimization\,” a timely exploration into the strategies crucial for enhancing the performance\, efficiency and operations of Kubernetes environments. \nThis webinar delves into the latest findings from Techstrong Research’s Pulsemeter report\, which gathers data from Techstrong’s cloud native\, DevOps\, platform\, and security audiences. This webinar highlights the hurdles and provides actionable insights and best practices derived from cutting-edge research. Our panel of experts will share their knowledge\, experiences\, and insights in an engaging roundtable discussion. Attendees will have the opportunity to interact with these thought leaders\, gaining broad and deeply technical perspectives. \nKey Takeaways: \n\nBest Practices for Resource Management: Learn how to efficiently manage and utilize resources to avoid wastage and optimize costs.\nScaling Kubernetes Effectively: Strategies to overcome scaling challenges that can hinder the performance of your clusters.\nLeveraging AI for Kubernetes: Insights into how artificial intelligence and machine learning are becoming integral in automating and enhancing Kubernetes environments.\nActionable Recommendations: Concrete recommendations and emerging strategies for your Kubernetes operations.
URL:https://devops.com/webinars/kubernetes-optimization-strategies/
LOCATION:Live Webinar\, Boca Raton\, FL\, United States
CATEGORIES:Techstrong Learning Webinar
ATTACH;FMTTYPE=image/png:https://devops.com/wp-content/uploads/2024/09/OnDemand-2024.08.28-SpotbyNetApp-LandingPage-1540x660-DO.png
ORGANIZER;CN="DevOps.com":MAILTO:webinars@devops.com
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