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The current global pandemic and associated societal unrest bring two important facts into stark relief. 

First, data and trust in data matters. It is the engine that forms both the ability to innovate and the capacity to withstand unanticipated change. 

Second, data, especially data residing on-premises, demands an underlying storage infrastructure that’s capable of accommodating a rich array of data, analytics, cloud-native, and artificial intelligence (AI) workloads securely and reliably at scale. 

In this webinar, Omdia analysts will help enterprise leaders understand how evolving market trends in data warehousing and processing, cloud-native development practices, and converged infrastructures can jointly transform legacy big data deployments into flexible, resilient engines of innovation fit for premises, edge, and beyond. To follow, Cloudera and IBM experts will join Omdia and discuss their partnership and products and solutions that help address this transformation of legacy big data environments.

Speakers


Chief Analyst, AI and Intelligent Automation at Omdia

Bradley Shimmin

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Brad has more than 25 years of experience in IT technology, analyzing data and information architectures. He is skilled in competitive market intelligence, technology selection, business development, and quantitative research. He also has experience as an IT professional, business analyst, book author/editor, and high-tech journalist/editor. Brad helps enterprises and high-tech companies work effectively across a number of market areas, including enterprise data and analytics, artificial intelligence, digital transformation, and DevOps. His expertise also covers market evaluation and go-to-market messaging, and he has a background in software development and database administration.

Senior Analyst, AI and Intelligent Automation at Omdia

Cassandra Mooshian

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With coverage areas including cloud platforms, blockchain, and robotic process automation (RPA), Cassandra produces thought-provoking research for vendor, service provider, and enterprise clients. Although she roots her analysis in data, Cassandra provides value-added insight to translate the data into what it means for these clients. Cassandra joined Omdia, formerly Ovum, in 2019, having spent the 10 years prior in technology and market research at Technology Business Research, Inc. (TBR). At TBR, Cassandra covered topics including the all-encompassing cloud, professional services, hybrid IT, and enterprise software. She led end-user research and spearheaded many reports, benchmarks, and market forecasts. Cassandra has a particular interest in the platform layer, including containers and container management, multicloud management, integration (iPaaS), and blockchain.

IBM Offering Management Executive - Storage for Data, AI and High Performance Computing

Matt Geiser

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Matthew leads offering management for IBM’s Storage for Data, AI and High-Performance Computing solutions. These offerings include Spectrum Scale, Elastic Storage System (ESS), on-premises solutions for IBM Cloud Object Storage and Spectrum Discover. Prior to his current role at IBM, Matthew launched an interactive video surveillance security business as Edgeworth Security's Chief Operating Officer. Prior to Edgeworth, he was the Chief Technology Officer at Legendary Entertainment, where he led Legendary’s information technology, software engineering, virtual reality and site operations initiatives. Prior to Legendary, he held multiple leadership positions in new product development and business line management at IBM in the Systems & Technology Group, Software Group and Global Services. After completing his MBA, Matthew worked as a consultant, project manager and development manager, designing and deploying customer management, billing and energy trading software solutions for retail and wholesale energy clients. He also worked as a product manager in the digital storage services sector.

Senior Technologist, Cloudera

Venkatesh Sellappa

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Senior hands-on technologist interested in helping companies reach business goals effectively using big data and associated technologies. Wide ranging experience with large organizations in defining business strategy, solution selling, business development activities, partner engagement and mentoring. Deeply involved in various Open Source projects as a contributor. Designed and developed architecture and solutions using a variety of approaches in line with performance and resource constraints.

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