Tata Technolo.

1 month ago | community.nasscom.in | Amit Chadha |Sanjeev Verma |Tata Technolo.

The Engineering Research & Development (ER&D) sector is at an inflection point, poised for unprecedented global growth. With India’s share in the global ER&D sourcing market projected to rise from 17% in FY24 to 22% by 2030 and the overall market expected to reach $170 billion by the same year, we stand on the brink of transformation. India's role in the global ER&D landscape goes far beyond numbers.

Dec 5, 2024 | community.nasscom.in | Tata Technolo.

Let us discuss the following 5 shifts happening that has the potential to change the face of tech industry in the next 5 years. Changing Economic Landscape: There is an economic regime change characterized by volatile interest rates and inflation, which impacts how investors assess opportunities. Traditional fixed-income investments are offering lower returns, driving demand for private credit.

Nov 27, 2024 | community.nasscom.in | Larisa Albanians |Tata Technolo.

The healthcare industry has witnessed a seismic shift toward digitization, with wearables emerging as a game-changing innovation. From fitness trackers to advanced medical devices, wearables have transformed how health data is captured, analyzed, and utilized. When paired with custom healthcare software development, these devices become even more powerful, enabling seamless data integration and enhanced patient care.

Nov 15, 2024 | community.nasscom.in | Abhishek Mishra |Tata Technolo.

12 0 Authored by Abhishek Mishra, Senior Manager, Data Engineering, SnowflakeIn our everyday lives, humans learn from real-world experiences—whether mistakes, successes, or simply observing the world around us. We adapt, process information, and apply that knowledge to make decisions. But how do machines "learn"? The process is different from human learning yet remarkably similar in some ways.

Sep 2, 2024 | community.nasscom.in | Shwetank Saini |Tata Technolo. |Apps Insight

Continued from Blog 1. Amidst the current challenges around legacy data, and computing environments, what does it take to realize the vision of Industry 5.0? How can companies take advantage of the industrial big data that’s out there? What’s the missing link between Industry 5.0, industrial connectivity, and industrial big data? The answer lies in IT-OT convergence.