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Delhivery delivers in Q1; Google open to ‘real money'

Delhivery delivers in Q1; Google open to ‘real money'

Time of India3 days ago
Delhivery delivers in Q1; Google open to 'real money'
Also in the letter:
Delhivery Q1 profit jumps 68.5% ahead of festive season
Details:
Net profit up 68.5% year-on-year at Rs 91 crore.
Operating revenue at Rs 2,294 crore, up 6% over the same period last year.
Express parcel volumes hit 208 million in Q1FY26, up from 183 million in Q1FY25 and 177 million in Q4FY25.
The company has also wrapped up the acquisition of its rival Ecom Express.
Quick update:
Quick update:
Currently, the company operates 20 dark stores across Bengaluru, Hyderabad, and Chennai.
By year-end, it plans to enter three new cities and add 30–40 more dark stores.
What's coming:
Board rejig:
Google to allow real-money games on Play if self-declared
Backstory:
Details:
Developers must prove their apps are in good standing with a recognised body such as the All India Gaming Federation (AIGF) or the EGF, which will confirm their legality under Indian law.
These apps will still need to comply with Google's broader developer policies and local regulations.
What's next:
GenAI puts up to 15% of IT services revenue at risk: Motilal Oswal
The details:
What IT leaders are saying:
Margins take a hit:
Why it matters:
Also Read:
Apple hits 3 billion iPhones sold as Q3 sales rise 13%
Q3 snapshot:
Tailwinds and concerns:
Why it matters:
EU eyes Big Tech's acquihires for potential antitrust violations
What's new:
Context:
Why it matters:
What's next:
Delhivery posted a 68.5% rise in net profit in April-June quarter on the back of operational efficiency. This and more in today's ETtech Top 5.■ GenAI impact on IT revenue■ Apple has sold 3 billion iPhones■ Big Tech 'acquihires' under EU lensDelhivery CEO Sahil BaruaLogistics services provider Delhivery delivered a strong first-quarter performance , driven by tighter operations and steady revenue, as it gears up for India's festive rush.On the rapid delivery front, Delhivery is scaling its intracity service , Rapid Commerce, which it launched in January . The service caters to businesses needing time-sensitive fulfilment.'This base network of dark stores and in-city delivery will allow us to build Rapid B2B fulfilment for time-sensitive categories such as automotive spare parts, electronics spares, tyres, critical industrial components, lubricants, specialty chemicals and certain FMCG products,' the company said.CEO Sahil Barua said Delhivery is primed for the festive period. The company noted that while ecommerce volumes have grown 12–15% annually over the past three years, it expects long-term growth to top 15%, with a sharper focus on direct-to-consumer (D2C) brands and small and medium enterprises (SME).Srivatsan Rajan, its longest-serving independent director, will step down effective from September 30, the company said in a filing. Joining as non-executive members are PB Fintech chairman and CEO Yashish Dahiya and IIM Bangalore professor Padmini Srinivasan.Google is set to open up its India Play Store to all real-money games (RMG) legally allowed in the country, provided developers self-declare their compliance and secure backing from a recognised industry body.The move follows a probe by the Competition Commission of India (CCI) last year , triggered by a complaint from gaming platform Winzo. The watchdog had raised concerns that Google's tightly controlled pilot for select RMGs could amount to exclusionary behaviour.Under the proposal, Google will scrap the closed pilot and introduce an open policy for RMG distribution.The proposal is open for public comment until August 20. If the CCI approves it, Google will roll out the changes within 120 days. The shift could unlock fresh monetisation avenues for RMG developers and give Google a smoother regulatory ride in India's fast-growing gaming market.Generative AI (GenAI) could shave 10–15% off Indian IT firms' revenue , brokerage firm Motilal Oswal has warned, as automation of software development eats into billable hours.The biggest hit is likely in Application development and maintenance (ADM), which contributes more than a third of the industry's topline. GenAI can handle up to 45% of coding, testing, and debugging, allowing clients to demand more output without incurring higher costs.IT leaders acknowledge the shift. TCS, for instance, says clients are moving from pilots to production-grade GenAI projects. Yet full-scale deployments remain rare, and unlike previous tech waves, budgets are not ballooning.The pressure is already visible in Q1 FY26. Firms reported softer margins as pricing tightens, deal cycles stretch, and GenAI-led productivity accelerates deflation in legacy services.Indian IT may be staring at a messy realignment. GenAI promises long-term efficiency, but without a new growth engine, the sector's old formula of linear scaling looks increasingly fragile.Apple has crossed a milestone that few companies can dream of. CEO Tim Cook revealed during the Q3 earnings call that the tech giant has now sold over 3 billion iPhones since the device first hit shelves in 2007.The iPhone remains Apple's undisputed cash cow. Sales jumped 13% year-on-year to $44.6 billion in the quarter, helping total revenue climb to $94.04 billion. Net profit rose 12% to $23.4 billion, a sign that the company can still find growth in a mature market.China provided a lift, with revenue ticking from $14.7 billion to $15.3 billion, while India delivered record sales. Apple is now leaning on emerging markets for its next wave of growth, even as looming import tariffs threaten to squeeze demand in the months ahead.Three billion iPhones sold underlines Apple's enduring dominance and its bet that the next billion users may come from outside its traditional strongholds.The European Union is preparing to cast a sharper eye on Big Tech's 'acquihire' deals, where tech giants snap up key talent from startups without buying the entire company. Regulators fear these moves could be a backdoor to skirt antitrust rules.Olivier Guersent, the outgoing head of the European Commission's antitrust unit, told Reuters that such transactions should qualify as mergers because 'staff are part of a company's assets.' He highlighted that national watchdogs in Ireland, Denmark, and Sweden already have 'call-in powers' that allow them to flag even small, below-threshold deals to Brussels.The scrutiny follows a string of headline-making acquihires:The Commission is increasingly focused on preserving competition in emerging sectors such as AI. Guersent, a key architect of the Digital Markets Act, warned that acquihires risk undermining the spirit of EU merger oversight.With more national authorities expected to use their call-in powers, tech firms should brace for a tougher, wider net on talent-driven deals.
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India's embrace of dangerous facial recognition technology is great for AI, terrible for privacy
India's embrace of dangerous facial recognition technology is great for AI, terrible for privacy

Scroll.in

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  • Scroll.in

India's embrace of dangerous facial recognition technology is great for AI, terrible for privacy

In February, India, along with France, co-hosted the AI Action Summit held in Paris. At the end, it was announced that the next edition will be held in India. In its naming, priorities, and focus, the summit witnessed a clear shift from 'safety' to 'innovation' as the principal theme in artificial intelligence discourse. This move aligns with India's lax regulatory stance on AI governance, even in high-risk areas like healthcare and surveillance-driven technologies such as facial recognition technology. In the upcoming summit, this shift will enable the Indian government to steer discussions toward innovation, investment and accessibility while avoiding scrutiny over its weak legal protections, which create an environment conducive to unregulated technological experimentation. 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Understanding Facial Recognition Technology Facial recognition technology is a probabilistic tool developed to automatically identify or verify individuals by analysing their facial features. It enables the comparison of digital facial images, captured via live video cameras (such as CCTV) or photographs, to ascertain whether the images belong to the same person. Facial recognition technology uses algorithms to analyse facial features, such as eye distance and chin shape, creating a unique mathematical 'face template' for identification. This template, similar to a fingerprint, allows facial recognition technology to identify individuals from photos, videos, or real-time feeds using visible or infrared light. Facial recognition technology has two main applications: identifying unknown individuals by comparing their face template to a database (often used by law enforcement) and verifying the identity of a known person, such as unlocking a phone. 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Facial recognition technology systems can produce inaccurate, discriminatory, and biased outcomes due to flawed design and training data. A Georgetown Law study on the use of facial recognition technology in the US showed disproportionate impacts on African Americans and tests revealed frequent false positives, particularly affecting people of color. In 2019, the UK's Science and Technology Committee recommended halting facial recognition technology deployment until bias and effectiveness issues are resolved. The UK government countered the report by stating that the existing legal framework already offered sufficient safeguards regarding the application of facial recognition technology. Civil society organisations have been demanding bans or moratoriums on the use and purchase of facial recognition technology for years, most notably after a New York Times investigation in 2019 revealed that more than 600 law enforcement agencies in the US rely on the technology provided by a secretive company known as Clearview AI. An impact assessment commissioned by the European Commission in 2021 observed that facial recognition technology 'bear[s] new and unprecedentedly stark risks for fundamental rights, most significantly the right to privacy and non-discrimination.' The European Union and UK offer regulatory models for facial recognition technology in law enforcement. The EU's Law Enforcement Directive restricts biometric data processing to strictly necessary cases. While initial drafts of the EU's AI Act banned remote biometrics – such as the use of facial recognition technology – the final version has exceptions for law enforcement. In the UK, the Data Protection Act mirrors Europe's General Data Protection Regulation (GDPR), and a landmark court ruling deemed police facial recognition technology use unlawful, citing violations of human rights and data protection, and the technology's mass, covert nature. The EU's AI Act, while not explicitly banning discriminatory facial recognition technology, mandates data governance and bias checks for high-risk AI systems, potentially forcing developers to implement stronger safeguards. The GDPR generally bans processing biometric data for unique identification, but exceptions exist for data made public by the subject or when processing is for substantial public interest. In Europe, non-law enforcement facial recognition technology often falls under these exceptions. As per EU laws, facial recognition technology use may be permitted under strict circumstances in which a legislator can provide a specific legal basis regulating the deployment of facial recognition technology that is compatible with fundamental rights. US Vice President JD Vance's rebuke against ' excessive regulation ' of AI at the Paris Summit in February telegraphed a lack of intent for the current US federal government to regulate AI. However, there are numerous state-level regulations in operation in the US. Canada's Artificial Intelligence and Data Act (AIDA) follows the EU model of risk regulation. Countries like South Korea have taken a more light-touch approach, with Seoul's AI Basic Act including a smaller subset of protections and ethical considerations than those outlined in the EU law. Japan and Singapore have explored self-regulatory codes rather than command and control regulation. The Indian Supreme Court's Puttaswamy judgment, which upheld a right to privacy, outlines a four-part test for proportionality to test whether state actions violate fundamental rights: a legitimate goal, suitable means, necessity (meaning there are no less restrictive alternatives), and balanced impact on rights. Facial recognition technology applications, like those that use the technology to mark attendance and carry out authentication, often have less intrusive alternatives, suggesting they fail the necessity test. Street surveillance using facial recognition technology inherently involves indiscriminate mass surveillance, not targeted monitoring. India's newly legislated Digital Data Protection Act, whose rules are currently being framed, permits the government to process personal data without consent in certain cases. Section 17(2) grants a broad exemption from its provisions for personal data processing, exempting state entities designated by the Indian government for reasons as broad as sovereignty, security, foreign relations, public order, or preventing incitement to certain offenses. In India, the primary policy document on facial recognition technology is a Niti Aayog paper, ' Responsible AI for All,' which anticipates that India's data protection law will handle facial recognition technology privacy concerns. However, it lacks detailed recommendations for ethical facial recognition technology use. It suggests the government should not exempt law enforcement from data protection oversight. It remains to be seen whether this recommendation will be followed, but this alone would be insufficient protection. 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Stone laid for Rs 45 cr infra boost for Sri City
Stone laid for Rs 45 cr infra boost for Sri City

Hans India

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Stone laid for Rs 45 cr infra boost for Sri City

Sri City: The foundation stone for a long-awaited infrastructure upgrade at the Sri City entry point on National Highway-16 was laid virtually on Sunday by Union Minister for Road Transport and Highways Nitin Gadkari and Andhra Pradesh Chief Minister N Chandrababu Naidu. The Rs 45-crore project includes the construction of a 900-meter grade-separated junction, a critical development aimed at ensuring uninterrupted traffic flow on NH 16 while providing a dedicated underpass for vehicles entering and exiting Sri City. By aligning intersecting roads at different levels, the design eliminates stopping and crossing conflicts, significantly enhancing traffic mobility. Once completed, the upgrade will improve connectivity between Sri City and key destinations such as Chennai, Nellore, and Krishnapatnam Port. It is expected to ease congestion, reduce delays for cargo trucks and commuter buses, and maintain the smooth movement of highway traffic. Currently, heavy traffic at the junction poses challenges for long cargo vehicles and employee buses, causing operational delays. The new grade separator is set to resolve these issues by enabling seamless entry and exit, quicker turnaround times, and more reliable logistics for industries in the region. Sri City Managing Director Dr Ravindra Sannareddy stated that the project will greatly improve the movement of cargo and other vehicles, reducing waiting times and enhancing accessibility for both industries and workers. He said that the development will boost the efficiency of the Vizag-Chennai Industrial Corridor and align with the broader economic goals of the State. With established multi-modal connectivity – by road, rail, and proximity to major ports – Sri City has emerged as a preferred destination for global manufacturers. This infrastructure boost further strengthens its logistical edge, enabling faster and more efficient cargo movement.

Can Cholamandalam Investment maintain its AUM growth target in a challenging market? CFO Arul Selvan answers
Can Cholamandalam Investment maintain its AUM growth target in a challenging market? CFO Arul Selvan answers

Economic Times

time8 minutes ago

  • Economic Times

Can Cholamandalam Investment maintain its AUM growth target in a challenging market? CFO Arul Selvan answers

Arul Selvan, CFO, Cholamandalam Investment, says the company focuses on AUM growth for interest income. Vehicle finance disbursement grew by 7%, and AUM by 18%. Home loan AUM increased by 33% year-on-year, despite a slight dip in disbursement. Slower disbursement in some areas is due to changes in registration processes. The company expects disbursement to improve and maintains its targets for the year. ADVERTISEMENT As per your guidance, your vehicle finance target disbursement growth was 15%, but we did see a decline in that segment. What are your strategies to achieve the target and can we expect any changes in that market? Arul Selvan: Market had been very low in the first quarter and primarily we always try to look at AUM growth rather than independent disbursement growth because that is what results in the interest income. We have achieved a disbursement growth of around 7% in vehicle finance and the AUM growth has been around 18%. So, we are well within the target and compared to peers in the current quarter, our performance on both disbursement and AUM has been fairly good. In your home loan segment, your assets under management (AUM) have grown 33% year-on-year despite a slight decline in disbursement that we have seen. Now with the management guiding for 30% AUM growth and only 15% AUM growth in FY26, could you elaborate on the key factors in terms of what is at play here in terms of these growth numbers? Arul Selvan: The AUM growth has been fairly robust and the disbursement growth in this segment has been lower or moderate in certain geographies where we have a larger presence like Karnataka. Registration processes have changed in the home buying mechanism, and that has resulted in the slower disbursement in these geographies. That is why we are seeing a flattish disbursement growth. We are confident this would go up in the coming quarters and for the full year, we continue to maintain the same target levels. Given the 24% year-on-year growth in your total AUM which is already at the upper end of your earlier guidance of 20% to 25%, what is your revised outlook or guidance for AUM growth and what will be the key drivers to support that trajectory? Arul Selvan: We still maintain the target for the full year in the 20-25% level of AUM growth. Post monsoons, we will see the growth picking up in the Q3 and Q4 when the festival season starts in the vehicle finance as well as the home loan business. We are not changing this target currently. We will stick to this target unless there are large implications of monsoons being not as per projections. Could you throw some light on the company's borrowing plans for the remaining three quarters of this financial year? Arul Selvan: Borrowing is a continuous effort because we need to keep borrowing to repay our existing loans as well as for fuelling the new development with regard to the disbursement and the AUM growth. Approximately, we borrow between Rs 7,000 crore and Rs 10,000 crore every month, and so that plan will continue. We have taken additional resolutions to enhance our borrowings in the coming year. So, we will do these borrowings. We are looking at various avenues of borrowing in the year like ECBs, the CPs, as well as NCDs, apart from our regular mainstay borrowing or bank borrowings. What about your gold loan business? How has that been performing considering it is the newest addition to your bouquet? Arul Selvan: Yes, we just started. End of June, we had around 75 branches and now we will be scaling it up to 120 branches by Q2 and it is a very early stage, but it is a business where we are confident that since the asset is secured and it is an appreciating asset and with the new guidelines from RBI, there will be a level playing field among players. We are confident that we can scale up this business as we move into the future years. ADVERTISEMENT (You can now subscribe to our ETMarkets WhatsApp channel)

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