Tag: AI
What tech mechanisms Uber is using for steadfast ride in India
Why and how Uber's several innovations initiated from India have been scaled globally...
Transitioning to the Age of Autonomous Digital Enterprise
Service management solutions are expanding beyond their traditional IT context into other parts of the business to deliver business-valued service
Indian States Look to Attract Japanese Investments Amid COVID
“IT, ITES, AI, Machine Tools, Aerospace, Biotechnology, and Engineering Design are areas where Japanese investment can flow in”
AI, ML applications are set to take over the Post-Covid World
By Somraj Bhattacharjee, Head- Products, Vehant Technologies
COVID-19 has changed perspectives and modified the way people look at their lives. Corporates, conglomerates and industries around...
Orange and Google Cloud to form strategic partnership in data, AI and edge computing...
Orange and Google Cloud today announced a strategic partnership to accelerate the transformation of Orange’s IT infrastructure and the development of future cloud services,...
Cloud And AI Tech Rule Innovations In A Virtual World At The NetApp Excellerator...
Startups showcased business-critical solutions using Artificial Intelligence, Kubernetes, Machine Learning, IoT and Blockchain
What Are Data Center Managers Looking Upto Today?
With data becoming the lifeblood of the global digital economy, it’s basically the data centres that are forming the backbone of the data influx....
How Is Technology Acting As The Game Changer In The Defence Sector?
While a lot has been talked about technology in various sectors, the defence sector hasn't really been left behind in the race. In India,...
AVEVA Introduces AI smart app for Manufacturing and Industrial Operations
The smart app provides industrial businesses with an accelerated path toward implementing artificial intelligence in the control room or on the plant floor
Micro Focus Announces Expanded AI-Powered Capabilities for the UFT Family
These new AI-based capabilities ensure application teams can meet growing demands in an effective, efficient and agile way by increasing test coverage and test asset resiliency and reducing test creation time and maintenance efforts