Technology

The Evolution of Data & Analytics Technologies

By Arun Viswanathan

The big data technology landscape is evolving at a dizzying pace. Explore how innovations in data platforms, architecture, and processing are changing the game.

DataOps: Money Multiplier for Industries

By Sunil Singh

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)

By Prachi Dwivedi

Analytic Process Automation (APA) is key to innovating the insurance industry. Read about APA and its effectiveness in streamlining business processes.

A Kickstarter for the Test-driven Development Python Django Approach

By Bhushan Ugale

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

By Akanksha Sharma

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

By Kulbhushan Bhardwaj

A security training program is crucial for an effective development team. See the central concepts and programs that make a successful security training program.

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Yuriy Yuzifovich

Yuriy Yuzifovich

Chief Technology Officer, AI

Richard Lett

Richard Lett

VP of Healthcare Technology

Amit Handoo

Amit Handoo

Vice President, Client Engagement

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Mark Norkin

Mark Norkin

Consultant, Engineering

Top Insights

Innovators and Laggards: The Technology Landscape of 2019

Innovators and Laggards: The Technology Landscape of 2019

Digital TransformationPerspectiveAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMediaTechnology
 
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