Enterprises are seeking to gain competitive advantage by being AI driven and becoming autonomous, bringing automation and intelligence to seek operational excellence. Using machine learning and AI correctly can lead to a competitive advantage quickly, especially in being able to harness all the data to train accurate models.
Ian Swanson dives into problem domains, platform differentiators, ease of use, automation, and scale and shares best practices on quick starts with the right infrastructure choices. Being an AI-driven enterprise earlier than a competitor is an opportunity within your reach. Join in to find out how.
This session is sponsored by Oracle Cloud Infrastructure.
Ian Swanson is vice president of product for AI and machine learning at Oracle, where he oversees the product strategy for the company’s AI/ML PaaS offerings. Previously, Ian was founder and CEO of DataScience.com (acquired by Oracle in 2018)—a company that provided an industry-leading enterprise data science platform that combined the tools, libraries, and languages data scientists loved with the infrastructure and workflows their organizations needed. Earlier in his career, he was an executive at American Express and Sprint and CEO of Sometrics, a company that launched the industry’s first global virtual currency platform (acquired by American Express in 2011). That platform, for which he earned a patent, managed more than 3.3 trillion units of virtual currency and served an online audience of 250 million in more than 180 countries. A sought-after speaker and expert on digital transformation, data science, big data, and performance-based analytics, Ian actively advises Fortune 500 companies and invests in leading startups.
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