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theCUBE Research
Research Agenda
Bio
George Gilbert, lead data & analytics analyst for theCUBE Research. Former Gartner analyst, former lead enterprise software analyst for Credit Suisse First Boston, one of the top investment banks serving the technology sector.
Big Data analyst for Gigaom Research. Co-founded Techalphapartners, a consultancy that advised vendors and institutional investors on market development and product strategy.
George has led conference panels with prominent thought leaders in cloud infrastructure and big data. He has been profiled on the front page of the Wall Street Journal and published as a guest author in a major overview of the evolution of cloud computing in The Economist.
Prior to being an analyst, George was a product manager on Notes at Lotus Development. George received his BA in economics from Harvard University.
George also hosts the podcast ‘Road to Intelligent Data Apps‘
Research
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Snowflake, Databricks & the Transition from Building Discrete Data Products to Systems
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The Vision of Agents in the Enterprise
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Assessing RPA Time-to-Value with UIPath
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Big Data and ML Predictions 2018
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CIO’s Guide to AI – Leveraging Vendor Services
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The CIO’s Guide to AI – Leveraging Scarce Skills
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Applying Machine Learning to IT Operations Management – Part 1 (Updated)
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A Guide to Concepts in Digital Twins
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Effective Approaches for Building IoT Digital Twins: Joint Development With IBM as Case Study
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Applying Machine Learning to IT Operations Management – Part 4: Diagnostics, Remediation, and Optimization
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Applying Machine Learning to IT Operations Management – Part 3: High-Fidelity Root Cause Analysis
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Applying Machine Learning to IT Operations Management – Part 2: End-to-End Visibility
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Extend the Life of Legacy ERP With Machine Learning Applications From New Vendors
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Wikibon Hybrid Cloud Architecture For Big Data Systems
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Wikibon Hybrid Cloud Architecture Using Hadoop
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Creating A Sustainable Competitive Edge With Digital Twins
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Recipe for Building Digital Twins
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A Look at 2017’s Big Data & Machine Learning Database Up & Comers
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Big Data & Analytics Forecast Definitions 2017
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