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ADV Webinar: Organizational Change Management: Will It Hold Back Artificial Intelligence Deployments?

  Download the slides here>> This webinar is sponsored by: About the Webinar The disparity between expecting change and managing it – the “change gap” – is growing at an unprecedented pace due largely to artificial intelligence. Investments in artificial intelligence will only pay off if paired with organizational change management. Managing this transformation is […]

DAS Webinar: Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation

  Download the slides here>> About the Webinar Artificial intelligence (AI) and machine learning (ML) are increasing in popularity as more organizations are looking to become more data-driven. To support strong AI/ML models and algorithms, accurate and timely data is needed, supported by a strong Data Architecture. Join this webinar to understand how to create […]

ADV Webinar: Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks

  To view just the slides from this presentation, click HERE>> About the Webinar Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the […]

Webinar: Make Data Work for You

  To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Uncover how your business can save money and find new revenue streams. Driving profitability is a top priority for companies globally, especially in uncertain economic times. It’s imperative that companies reimagine growth strategies and improve process efficiencies […]

ADV Webinar: MLOps – Applying DevOps to Competitive Advantage

  To view just the slides from this presentation, click HERE>> This webinar was sponsored by: About the Webinar MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps applies DevOps principles to ML delivery, enabling the delivery […]