Big Data Insights March 11, 2019

How to avoid unrealistic data science project expectations: 8 tips Organizations are enthusiastic about hiring data scientists, but must remember that data-driven projects will not solve every problem. Resource of the day Webcast: IBM's Db2 in a Multi-Cloud World - The Data Layer With over 70% of enterprises using three or more clouds, it is important to understand the implications of where your data is stored and how it is managed. Join us for a live webinar, The Data Layer: IBM's Db2 in a Multi-Cloud World Additional TechRepublic resources Data scientists' wages decline for the first time since 2016 ​4 reasons why your company should consider in-memory big data processing Google and Udacity launch free course to help you master machine learning ​Survey: Managing AI and ML in the enterprise The next step for machine learning and AI Cheat sheet: TensorFlow, an open source software library for machine learning Featured Webcast Live Webcast- Keys to Crafting a High-Performing AppSec Strategy Application security is in a time of transition, and security teams need a solid strategy to address new threats, architectures, and the scale of modern applications. On one side, APIs and microservices are greatly expanding the application attack... Featured multimedia Create maximum impact with PowerPoint graphics (free PDF) Working with graphics in PowerPoint doesn’t have to be frustrating or time consuming. This ebook walks through quick and easy tricks to make your presentations more polished and engaging. Today's recommended downloads IBM's Db2 in a Multi-Cloud World - The Data Layer (IBM) Webcast: IBM's Db2 in a Multi-Cloud World - The Data Layer (IBM) ADP RUN Payroll vs. Top Alternatives―Competitive Report (Select Hub) Top Supply Chain Management Software for 2018 (Select Hub) ADP RUN Payroll vs. Top Alternatives―Competitive Report (Select Hub)

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The rise of industrial IoT

Infrastructure around the world is being linked together via sensors, machine learning and analytics. We examine the rise of the digital twin, the new leaders in industrial IoT (IIoT) and case studies that highlight the lessons learned from production IIoT deployments.