Five Best Practices that Speed AI Value at Your Organization
Date: Monday, September 16th at 9:00am PT / 12:00am ET
IBM experts offer advice on how to get past top blockers and pitfalls when taking AI from pilot to production
In this webcast we will discuss how to:
- Avoid silos and simplify collaboration
- Streamline data prep and pre-processing
- Choose the optimum algorithms automatically
- Scale ML experimentation and deployment processes
- Get past the "AI is a black box" issue and ensure that outcomes are trusted, fair, and transparent
About the presenters:
Rohan Vaidyanathan, Offering Manager at IBM Watson OpenScale
Rohan Vaidyanathan is the lead Offering Manager for IBM Watson OpenScale. He is focused on building systems that can help bring transparency in AI to business stakeholders and help them trust the AI models infused in their applications. He works closely with IBM Research to productize technologies that can ensure fair, explainable, compliant and measurable outcomes from AI models. Before OpenScale, Rohan built and scaled the business for Hadoop and Spark analytics platform on IBM Cloud. He has a bachelor’s degree in computer science from Mumbai University and an MBA from University of North Carolina, Chapel Hill.
Nicholas McQuire, Vice President, Enterprise Research at CCS Insight
Nick has over 18 years' experience in enterprise technology advisory services, most recently as managing director of the Global Enterprise Mobility Alliance. He is a former vice president at IDC, where he led the enterprise mobility strategies practice in London. Nick leads our enterprise research, focussing on cloud computing, machine learning and the digital workplace, including trends in mobility and end-user computing, productivity, collaboration and IT security. Frequently quoted by the BBC, CNBC and Reuters, he is a regular speaker at leading industry events. He has been named among the top social media influencers in artificial intelligence.
Duration: 1 hr