Machine Learning: 6 Challenges MLOps Can Solve
Join us for our machine learning webinar on Dec. 9 at 12 p.m. EST, where we’ll talk about MLOps and how it can help you overcome your machine learning challenges.
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.
During this webinar, data and analytics experts will address six challenges derailing 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.
Attendees 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.
About the Speakers
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 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. Faisal strives to leverage new technologies and optimize business processes to address business challenges.