Analytics Workloads for the New Era of AI Applications

Data is fundamental to creating efficient business operations, discovering new revenue opportunities, and delivering exceptional customer experience. As the world continues to become increasingly technology-centric, with an ever-growing number of data sources and streams, enterprises are facing the challenge of making sense of the staggering volume and diversity of data using traditional data processing application software.

One of the most effective and proven way of dealing with such large and complex volume of data is with the help of modern Big Data Analytics workloads solutions using Artificial Intelligence (AI) techniques, implementing Machine Learning (ML) algorithms. In fact, enterprises across the world are embracing an “AI-first” approach. Register for this webinar to learn how your enterprise can mature analytics capabilities and become more data-driven.

On Demand
1h 00min

Attend this webinar and you'll:

  • Discover the importance of maturing your approach to data analysis
  • Understand the implications of an "AI-first" approach to analytics
  • Learn how to be a responsible handler of data, shaping it into a reliable source of revenue and reputation
  • Find out how technologies and economies of scale are making high-volume data-processing a non-negotiable

Featured Speakers

  • Wim Stoop
    Wim Stoop
    Director, Product Marketing

    Wim Stoop is the Director of Product Marketing for Cloudera. In this role, he leads the marketing direction and strategic vision for Cloudera’s mission to let organizations turn data into business value at scale. Prior to Cloudera, Wim spent more than 17 years helping blue-chip companies such as IBM, BP, and HSBC solve their most data-intensive challenges in the context of their business objectives and usage scenarios. Wim is a regular speaker at industry events where organisations are deciding and defining their big data strategy and direction. Wim holds a degree in Chemical Process Technology from the Eindhoven University of Technology in The Netherlands.

  • Mike King
    Mike King
    Big Data Strategist
    Dell Technologies

    Mike is currently a Big Data Strategist with Dell Technologies and been in role on the AI/Big Data team since 2015. He covers all aspects of Big Data including but not limited to Hadoop, splunk, NoSQL, Elastic, AI/ML/DL, GPGPU Databases, Kafka and more. He focuses on solution architecture for high profile customers. Other areas of interest include knowledge management, collaboration, wikis, competitive intelligence, search, databases and k8s. In past lives Mike has worked for some boutique consultancies, Fedex, Xerox, IBM and Autozone. Mike has spoken at various technical conferences and is blogging a bit more these days.

  • Merritte Stidston
    Merritte Stidston
    Technical Solutions Specialist

    Merritte Stidston is a Technical Solutions Specialist at Intel supporting cloud and SDI technologies for advanced analytics platforms & AI, healthcare, retail & eCommerce platforms and data center systems. He is an AWS Solutions Architect (Assoc.), certified SAFe Architect, SAFe Agilist and strong proponent of Dev/Ops. He has 23+ years of IT experience, as a developer, data center manager and as the Chief Information Architect for a Fortune 10 company. He was a McKesson Distinguished Technologist and Fellows Finalist.

  • Peter Krass
    Peter Krass

    Peter Krass is an editor and writer specializing in business technology. Formerly, Peter held senior editorial positions with Inc., Planet IT, Smart Enterprise, TechBuilder, InformationWeek, Dark Reading and the BusinessWeek newsletter group.

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