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NOW AVAILABLE ON DEMAND
Duration:14 minutes
Abstract:
In the current cognitive era, entirely new brands are being built on distinctive data sets alone.
That data - that closed off, proprietary data that everyone wants to keep safe and sound and away from prying eyes - is what makes corporations unique. And yet, most companies don’t access the vast majority of the accumulated data they’ve created. Why? It’s because they might not know what insights they might look for to extract the value from their data, but also because they might not have the tools needed to help them bring the analytics that can help them to take advantage of their differences.
Join us for this webinar to hear how IBM z14 enables you to employ “machine learning everywhere” so you can deliver real value to your customers in every interaction.
If you're already registered for the IBM z14 in 14! Webcast: Machine Learning, click below:
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Q&A Experts
Alex Feinberg Senior IT Architect/Specialist
IBM
Alex Feinberg is an IBM and Open Group Master Certified IT Specialist within the IBM Competitive Project Office (CPO). Passionate about user experiences, Alex’s current area of focus is performing competitive analysis of IBM versus competitor software and systems, especially in Cloud, Mobile, and Middleware. Alex has 29 years of software experience, including leading the design and development of complex Web applications exploiting state-of-the-art technologies and methodologies.
Emily Farmer Senior Competitive Analyst
IBM
Emily Farmer is a senior competitive analyst and client enablement lead in the IBM IT Economics and Research Team. She studies the competitive advantages of IBM Z and IBM LinuxONE, with focus on pervasive encryption, and architectural and cost benefits. Her role includes presenting customer briefings, webinars, and conference sessions, and publishing whitepapers, presentations and articles.
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IBM z14 in 14! Webcast: Machine Learning
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