Discover how AI-powered Copilot in Excel is transforming data cleaning and analytics workflows. This webinar explores practical techniques for cleaning messy datasets, generating formulas, uncovering insights, and automating repetitive tasks using Excel’s built-in AI capabilities. Participants will also gain hands-on experience applying Copilot to real-world analytics scenarios while understanding the differences between free and paid Copilot features.
Without quality, data is just noise. This webinar explores how teams can build a culture of data quality that supports trust, transparency, and performance. The session also covers the implementation of scalable quality frameworks and the importance of driving accountability across the organization.
This webinar explores the real-world applications of Agentic AI through live demonstrations of intelligent automation, adaptive planning, and agent-driven workflows. The session highlights how agentic systems coordinate tasks, support contextual decision-making, and integrate with existing enterprise environments to improve operational efficiency across industries.
AI-native training is reshaping enterprise learning through personalized, scalable, and data-driven experiences. This webinar covers best practices for delivering online and hybrid training programs, improving workforce skill development, and tracking adoption, engagement, and learning progress through analytics.
Synthetic data is emerging as a strategic component in modern AI development, helping organizations accelerate model training, improve testing, and address edge cases beyond the limits of real-world datasets. This webinar covers the role of synthetic data in AI workflows, including stress testing, privacy-safe simulations, model tuning, and governance considerations for maintaining quality, compliance, and reliability.
Data warehousing plays a critical role in supporting scalable AI-powered business intelligence and informed decision-making. This webinar discusses the importance of data quality, strategic planning, and business alignment in successful data warehousing initiatives. The session also covers key practices in data preparation, architecture, and iterative development to help organizations improve operational efficiency and maximize the value of enterprise data.
As generative and agentic AI adoption grows, organizations are facing new challenges in governing both data and AI systems effectively. This webinar examines the evolving landscape of data and AI governance, including the management of structured and unstructured data, model accountability, and responsible AI practices. The session also highlights the organizational and technical foundations required to ensure trust, compliance, and scalable governance.
Modern data platforms are evolving to support the growing demands of AI and analytics workloads with greater scalability, flexibility, and efficiency. This webinar examines approaches to unified data architectures, reducing engineering complexity, and improving cross-domain collaboration. The session also covers composable platforms, cloud-native services, metadata-driven environments, and strategies for supporting AI and analytics applications on integrated data platforms.
