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 is a Senior Data Scientist for our Data & Analytics team with over 20 years of experience helping companies drive sustainable business value through machine learning and advanced analytics. His expertise focuses on Data Science, Six Sigma, Change Leadership and Information Technology and spans many industries, including insurance, healthcare, financial services, energy and utilities, and US military.
Faisal Malik, National Data and Analytics Practice Lead, Centric Consulting
Faisal Malik co-leads our Data & Analytics practice with over 28 years of industry experience focused on artificial intelligence and machine learning competency. Faisal develops and refines strategies across a range of business processes, functional disciplines and industries, helping partners develop insights and fostering long-term business relationships with them.