Bengaluru (PTI): Bengaluru’s traffic woes resurfaced after Samajwadi Party MP Rajeev Rai criticised the authorities for the "worst traffic management", calling the city’s roads the "most notorious".
Rai, who was in Bengaluru on Sunday, tagged Karnataka Chief Minister Siddaramaiah in a post on 'X', saying he had been stuck for an hour on Rajkumar Samadhi Road and was at risk of missing his flight.
Reacting to the criticism, Karnataka Deputy Chief Minister D K Shivakumar, who also oversees Bengaluru development, said he would meet the MP in Delhi and show him the traffic situation in the national capital.
"Okay. Let me meet him in Delhi and show him what traffic is like in Delhi. I will also tag him," Shivakumar told reporters.
In his post on November 30, Rai wrote: "I’m sorry, but you have the worst traffic management, and the most irresponsible, useless traffic police. They don’t even pick up phone calls — here is the screenshot of my attempt to speak to them; none of them picked up my call."
"For the last one hour, we were stuck at the same place on Rajkumar Samadhi Road. I am going to miss my flight; tomorrow I have to attend the Parliament session. Not a single policeman was seen around," he added.
"These inefficient officers are enough to spoil the name and charm of this beautiful city. No doubt Bengaluru traffic has earned the reputation of the most notorious traffic," Rai further said, tagging the Bengaluru Police Commissioner.
In recent months, the state government has faced mounting pressure from industry bodies and citizens over Bengaluru’s traffic and infrastructure issues.
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New Delhi (PTI): Conglomerates run by billionaires Mukesh Ambani and Gautam Adani committed USD 210 billion investment to creating infrastructure that will help India emerge as an AI development hub.
At the India AI Impact Summit, Ambani announced a Rs 10 lakh crore (about USD 110 billion) investment in artificial intelligence over the next seven years in gigawatt-scale AI-ready data centres in Jamnagar, leveraging up to 10 GW of green power surplus, and a nationwide edge-compute layer integrated with telecom and digital operator Jio's networks to deliver low-latency AI across India.
"Our resolve is clear: make intelligence as ubiquitous as connectivity," he said. "When compute becomes infrastructure, innovation will become inevitable."
Adani, on the other hand, unveiled a USD 100-billion investment to develop renewable-energy-powered, hyperscale AI-ready data centres by 2035 -- one of the world's largest integrated energy-compute commitments.
The initiative is expected to catalyse an additional USD 150 billion across server manufacturing, cloud platforms, and supporting industries, creating a projected USD 250 billion AI infrastructure ecosystem in India.
India must architect its own artificial intelligence (AI) infrastructure rather than rely on imports, Adani Group executive director Jeet Adani said on Thursday, warning that AI will redefine national sovereignty.
Other major investments announced at the Summit included USD 50 billion commitment by Microsoft by the end of the decade to expand artificial intelligence access across the Global South. "India, not surprisingly, is one of the largest," its vice chair and president, Brad Smith, said.
The firm had unveiled USD 17.5 billion investment in AI investments in India last year.
Google CEO Sundar Pichai announced a new subsea cable initiative to boost AI connectivity between India, the US and other locations, alongside partnerships for cloud infrastructure platform support to over 20 million public servants across 800 districts.
Yotta Data Services, backed by a real estate group headed by Niranjan Hiranandani, announced over USD 2 billion spend on Nvidia's latest chips in an artificial intelligence computing hub it is setting up just outside the national capital.
While Tata Consultancy Services (TCS) signed up ChatGPT parent OpenAI as its first customer for its data centre unit under the global AI infrastructure initiative Stargate, infrastructure major Larsen & Toubro announced a proposed venture with Nvidia to build AI-ready data centre infrastructure, advanced computing platforms, and ecosystem enablement required to support large-scale AI workloads.
