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. 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 | 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... |
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How prepared is your staff to implement and support an AI/ML system? Tell us! Take this 5-minute survey and get a free copy of the final research report. A special feature from ZDNet and TechRepublic | 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. Connect with TechRepublic |
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