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Who’s Accountable for AI and its Risks? Why Enterprise CEOs Need to Assign AI Ownership Now
Webinar | Tuesday, April 30th | 1pm ET
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Webinar – Create and Deploy Gradient Boosted Machines

 

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Is your organization ready to deploy analytic models at scale? Are your existing systems connected in the right ways to leverage the latest analytics capabilities? Join us for a live webinar detailing the creation and deployment of gradient Boosting machine models using Python, Kafka and FastScore. This webinar, led by Open Data’s Matthew Mahowald, will increase your understanding of the benefits of gradient boosting as well as the easiest way to deploy and maintain a live streaming gradient boosting machine model in production systems.

Our webinar will focus on providing 3 key takeaways:

  • Learn how to create a gradient boosting machine using SciKit Learn and Python
  • Understand the steps required to transform features, train, and deploy a GBM using FastScore, a language agnostic analytic engine
  • See a live demo of a GBM analyzing auto insurance risk

Jan 25, 2017 – 10am PST (1pm EST)

 

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AI Regulations: What to Know & What to Do Now

Global, federal, and state-level governments are moving quickly to implement AI regulations. While reading this, you may be asking, “If I want to use AI, what do I need to do now to prepare my organization now?”

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Govern and Scale Enterprise AI Initiatives
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ModelOp is the leading AI Governance software for Global 2000 enterprises and helps safeguard all AI initiatives — including Large Language Models (LLMs), generative AI, in-house, third-party, and embedded systems — without stifling innovation. Through automation and integrations, ModelOp empowers enterprises to quickly address the critical governance and scale challenges necessary to protect and fully unlock the transformational value of enterprise AI — resulting in accountability, transparency, robustness, and fairness of AI systems.