AI and Machine Learning: Enterprise Use Cases and Challenges

Watch this on-demand webinar to learn how you can accelerate your AI initiative and deliver faster time-to-value with machine learning. AI has moved into the mainstream. Innovators in every industry are adopting machine learning for AI and digital transformation, with a wide range of different use cases. But these technologies are  difficult to implement for large-scale distributed environments with enterprise requirements. This webinar discusses:  The game-changing business impact of AI and machine learning (ML) in the enterprise .
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OTHER ON-DEMAND WEBINARS

Automated Quotes: The Next Frontier of AI in UX Research

Artificial Intelligence in UX research has come a long way. For years, qualitative researchers had to hand-code data from transcripts and manually generate reports from the large amount of data they collected.
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Securing the Path to 5G: Market Opportunities, Security Challenges & Solutions

Fortinet

Embrace new opportunities with 5G and deliver secure networking capabilities. Find out why security is a critical component for networks and mobile platforms that are evolving from 4G to 5G, and learn how to implement security solutions to maximize visibility and control for IoT devices.
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Smart Coupling of Next Generation A.I. Computing with Hyperscale Low-Cost Flash

Artificial intelligence (AI) is becoming mainstream across a wide range of industries. From self-driving vehicles, to genomics research, to financial data analysis, AI is rapidly weaving through our world in ways both seen and unseen.
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3 Trends for Modernizing Analytics and Data Warehousing in 2019

Arcadia Data

Brand new research published from Dresner Advisory Services digs deeply into the trends in 2018 around big data analytics. Where are organizations heading in 2019? How are analytic and data warehouse architectures evolving to enable faster and deeper self-service analytics and BI for organizations looking to create a competitive edge? How is public, private and hybrid clouds factoring into deployment decisions? What are the hottest open source projects from Apache Spark to Kudu, Kafka, Hadoop, and beyond? Join industry leaders from Dresner Advisory Services, Arcadia Data, and Cloudera as they preview findings from the upcoming 2018 Big Data Analytics research report of over 750 survey respondents in the data and analytics industry.
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