Technology
The Evolution of Data & Analytics Technologies
The big data technology landscape is evolving at a dizzying pace. Explore how innovations in data platforms, architecture, and processing are changing the game.
Edge Computing for Facial Recognition & Emotion Detection
Explore facial recognition and facial emotion detection technologies, hardware and software tools, and more to help in your selection.
DataOps: Money Multiplier for Industries
DataOps is a combination of processes and technologies that automates quality data delivery to improve data value according to business objectives and requirements.
Analytics Process Automation (APA)
Analytic Process Automation (APA) is key to innovating the insurance industry. Read about APA and its effectiveness in streamlining business processes.
Incorporating smart spaces into factories is crucial for technology innovation and the safety of your workforce. Learn how to effectively create smart spaces.
A Kickstarter for the Test-driven Development Python Django Approach
In their simplest form, test cases are the set of conditions under which a tester determines whether the software satisfies requirements and functions properly. In layman’s terms, these are predefined conditions to check that the output is correct.
Develop Restful API with Go and Gin
Go is a powerful and easy to learn language that any programmer can adapt without difficulty. It’s as simple as its name, Go or Golang.
Global Practices: Security Training for the Development Team
A security training program is crucial for an effective development team. See the central concepts and programs that make a successful security training program.
Cloud Sandboxes: How to Train Your Engineers To Go Cloud-Native
Now more than ever, developers are integrating virtual cloud sandbox learning programs to provide adequate training and improve efficiency.
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Chief Technology Officer, AI
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AVP, Engineering
Consultant, Engineering
Innovators and Laggards: The Technology Landscape of 2019
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