Some leaders say, “Machine learning is not getting enough traction!” The right talent is in place. You’ve developed top-notch models. The business case is clear. So why aren’t your models producing the desired results?
What You Will Learn
During this webinar, data and analytics experts will address six challenges that derail the productivity of your machine learning initiatives and share why applying MLOps can help solve them.
We’ll share our experience and observations about why so many organizations struggle to get the expected value from machine learning models, even those with experienced teams working on them.
No matter your company’s current machine learning maturity, you can incorporate these practices into your machine learning environments.
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Speakers
Tony Lung, Machine Learning COE Leader, Centric Consulting
Tony Lung has over 11 years of experience as a Data Scientist driving business value with machine learning and advanced analytics. He also has experience in multiple industries, including insurance, healthcare, financial services, energy and utilities, and with the US military. Tony is also a proud USMC veteran.
Faisal Malik, National Data and Analytics Practice Lead, Centric Consulting
Faisal Malik has 28 years of experience in manufacturing, financial services, H&LS, travel and transportation, professional services, entertainment, consumer goods, and utility industries. He has extensive hands-on experience developing and refining strategies across a range of business processes, functional disciplines and industries, where he specializes in developing long-term relationships with partners and assisting organizations in developing insights.