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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?

It turns out that MLOps is the key to getting real value out of your machine learning investment. But MLOps is more than a bunch of tools and techniques. It’s a blending of carefully thought-out processes, experience and capabilities orchestrated to keep your machine learning assets productive over their entire lifespan.

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.

Viewers will walk away from this webinar with a deeper understanding of what successful companies do to get the most out of their machine learning assets and how MLOps can provide businesses the edge needed to stay competitive.

No matter your company’s current machine learning maturity, you can incorporate these practices into your machine learning environments.



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.

What You Will Learn

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