Asian Paints
2401 -31.10
Cipla
1337.5 -12.30
Eicher Motors
7959.5 -50.00
Nestle India
1279.9 -21.00
Grasim Inds
2883.7 -50.10
Hindalco Inds.
917.9 18.65
Hind. Unilever
2289 -34.50
ITC
328 -4.45
Trent
4066 -121.20
Larsen & Toubro
4298.3 -27.60
M & M
3458 -72.50
Reliance Industries
1418.2 -23.10
Tata Consumer
1160.4 -9.30
Tata Motors PVeh
380 -2.85
Tata Steel
207.05 -1.98
Wipro
212.14 0.19
Apollo Hospitals
7608.5 -39.00
Dr Reddy's Labs
1287 6.70
Titan Company
4229.8 -18.80
SBI
1210.7 -8.20
Shriram Finance
1065.8 -10.40
Bharat Electron
440.3 -7.40
Kotak Mah. Bank
418.7 -7.65
Infosys
1386 12.30
Bajaj Finance
1017.75 -6.05
Adani Enterp.
2167.7 -43.50
Sun Pharma.Inds.
1721.9 -2.50
JSW Steel
1233.4 -17.80
HDFC Bank
921 -3.70
TCS
2700.1 5.20
ICICI Bank
1393.9 -14.30
Power Grid Corpn
295.75 -4.80
Maruti Suzuki
15106 -58.00
Axis Bank
1358.9 -18.10
HCL Technologies
1462.7 -4.50
O N G C
273.85 9.25
NTPC
365.45 -2.95
Coal India
416.25 -1.75
Bharti Airtel
2001.2 -20.60
Tech Mahindra
1489.6 -15.20
Jio Financial
260.1 -4.00
Adani Ports
1528.5 -22.30
HDFC Life Insur.
733.4 3.80
SBI Life Insuran
2044.8 -14.80
Max Healthcare
1078.8 -7.45
UltraTech Cem.
12753 -299.00
Bajaj Auto
9824.5 -155.50
Bajaj Finserv
2047.9 -12.70
Interglobe Aviat
4881.3 -99.10
Eternal
274 -3.35
Kwality Wall's
28.16 -1.17
Delhivery announced that it is advancing the development of digital mapping solutions tailored specifically to Bharat's complex geography and unique addressing systems with NVIDIA AI.
Announced at the India AI Summit, Delhivery aims to leverage NVIDIA accelerated computing, NVIDIA CV-CUDA, and NVIDIA Nemotron open models to design highly accurate, scalable and locally relevant maps to support India's growing digital economy by unlocking the potential of Delhivery's petabytes of proprietary data accumulated over several years. Key capabilities being evaluated include address disambiguation to distinguish between phonetically similar addresses and localities, contextual inference to decipher unstructured descriptions, and predictive sequencing to optimize last-mile routes in dense, unplanned urban areas.
India's geographic diversity, rapid urbanization and unique addressing systems present a distinct challenge for conventional mapping tools built for other nations. Addresses in the Indian subcontinent are often unstructured, relying heavily on community landmarks, variable sequencing, and local vernacular rather than standardized global coordinates. Through this collaboration, Delhivery aims to harness NVIDIA's open models to tackle critical hurdles unique to India.
'Bharat needs mapping solutions that operate at scale and can understand the pulse of its streets. Standard global mapping tools often struggle with nuances of Indian addresses. By combining Delhivery's dataset of billions of shipments with NVIDIA's accelerated computing, we are exploring a location intelligence layer to power India's digital growth,' said Kapil Bharati, Co-founder & Chief Technology Officer, Delhivery.
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