logo
Logistics firm Allcargo Gati launches 24-hour air delivery service to 8 cities

Logistics firm Allcargo Gati launches 24-hour air delivery service to 8 cities

Time of India19 hours ago

Logistics and supply chain
firm
Allcargo Gati Ltd
on Tuesday announced expanding its direct air services with the launch of
24-hour air delivery service
to eight
key metro cities
.
Backed by connectivity to 34 commercial airports nationwide, Allcargo Gati's
Air Express service
supports high-volume logistics needs across sectors like pharmaceuticals, electronics, garments, automobile and retail, the company said.
The air express service, which has been rolled out for Mumbai, Pune, Kolkata, Delhi, Bengaluru, Chennai, Ahmedabad, and Hyderabad, offers late cut-off times, late pickups and
next-day delivery options
, it said.
by Taboola
by Taboola
Sponsored Links
Sponsored Links
Promoted Links
Promoted Links
You May Like
New mobile air conditioner requires no installation (search now)
Air Condition | Search Ads
Search Now
Undo
Earlier this year,
Allcargo Gati
had launched direct air services to Varanasi and Imphal, thereby connecting tier-2 cities to the national supply chain grid.
The inclusion of these eight new routes, will further strengthen the company's network, making it more robust,
Allcargo Gati
said.
Live Events
"The expansion of our Air Express service to eight key metro cities empowers businesses with the ability to move critical shipments within 24 hours, ensuring we stay ahead of customer expectations. This strategic enhancement strengthens our position as a trusted logistics partner for time-sensitive sectors like pharmaceuticals, electronics and e-commerce," Mayank Dwivedi, National Sales Head at Allcargo Gati, said.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

How AI is revitalising mainframes
How AI is revitalising mainframes

Time of India

timean hour ago

  • Time of India

How AI is revitalising mainframes

Ric Lewis (with mic), senior VP in IBM Infrastructure, says every time he visits India, he leaves super-energised because employees here are so excited, pumped up. 'They're doing deep software, hardware design. And they are so excited about the stuff they are building, I can't wait for the clients to see it,' he says. Here he's with Akhtar Ali, VP in IBM Systems, and others at a conference in Bengaluru Ric Lewis tells us he's on a jet lag schedule, but he's not tired at all. Because all of the excitement of his India teams, and the innovations that he's seen the teams do, he says, is just so invigorating. For IBM's head of infrastructure, the India centre has become central to all of his five businesses – mainframes, Power servers, storage, cloud and customer support. Mainframes! You might wonder what anyone could still be doing there! The reality is, there isn't probably work that's more exciting. Ever since the client-server era, and more so since the cloud era, we barely hear of mainframes. But on your banking app that's running on a public cloud, if you ask for your balance, or you move money, there's a more than 70% chance that the app has to send a message to a mainframe to obtain the information or conduct the transaction. Because some 7080% of the world's transaction data still reside on mainframes. It's similar or more for credit card transactions. Banks, airlines, hospitals, govt, and even retail, many still use mainframes for their most critical applications and data, because almost nothing can still match their resilience, security, uptime, and processing capacity. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like BCP CFD: Tu oportunidad de ingresos extra principales inversores Leer más Undo IBM – which pioneered mainframes and now has an overwhelming share of that market – has over the years worked to ensure mainframes can easily interoperate with cloud, as enterprises moved to a hybrid-cloud strategy . And more recently, it has brought in powerful AI features. AI, Lewis says, is built into the mainframe chip. The previous version of the chip could use AI to do basic fraud detection in realtime. The latest mainframe version launched earlier this year brings in GenAI capabilities too. This means, Lewis says, the system can in real-time not only look at anomalies in transactions (like payments made in two very different geographic locations within a short span), but also check if the company to whom money is being transferred has a registered address, whether it has a good reputation based on public reviews. Insurance companies can check what's been happening to a certain kind of insurance policy in a certain region instantly, and figure out, for instance, if they should raise premiums. AI in the mainframe also helps with managing the entire computing system. 'We have built in something to do inference on optimal configuration of the system, and security parameter settings,' Lewis says. AI has been used to help employees in the support services organisation, as also automate some of the support processes. Customers can now ask a chatbot questions like: 'I saw the following behaviour in this system. Tell me what you think is wrong with it.' India's role A lot of the software/hardware work that's happening with mainframes and Power servers is happening in India. 'We're doing full architecture to implementation, to delivery, to test, to follow up and support. So it's a really critical place for us,' Lewis says. Looks like all of this work is really paying off. IBM's share price has risen 60% in the past year, and 120% in the past two years. That's phenomenal recovery for a company that was struggling for many years prior to this.

Cognizant CEO says AI is not taking away jobs from engineering graduates: My argument is …
Cognizant CEO says AI is not taking away jobs from engineering graduates: My argument is …

Time of India

timean hour ago

  • Time of India

Cognizant CEO says AI is not taking away jobs from engineering graduates: My argument is …

Cognizant CEO Ravi Kumar S Cognizant CEO Ravi Kumar is pushing back against predictions that artificial intelligence will devastate entry-level white-collar jobs, arguing instead that AI will create more opportunities for recent graduates. Kumar, who leads the 350,000-person IT services company, told Business Insider that his "whole thesis" contradicts Anthropic CEO Dario Amodei 's theory that AI will slash entry-level jobs in half. "My argument is you probably need more freshers than less, because as you have more freshers, the expertise levels needed goes down," Kumar said. The former nuclear scientist believes AI is fundamentally different from previous technology disruptions because it puts expertise, not just information, at workers' fingertips. AI levels the playing field for junior developers by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 5 Books Warren Buffett Wants You to Read In 2025 Blinkist: Warren Buffett's Reading List Undo At Cognizant, Kumar's theory appears to be playing out in real-time. The company's bottom 50% of developers have boosted their productivity by 37% using AI tools, compared to just 17% for the top performers, according to Kumar. This productivity leveling suggests that deep expertise is becoming less critical while interdisciplinary skills gain importance. Kumar argues that as AI lowers the barrier to entry, companies will need more junior talent to manage the expanded workload that becomes economically viable. "Tech disruptions so far put information on your fingertips," Kumar explained to Business Insider. "This is a technology which is going to put expertise on your fingertips." Industry remains divided on AI's job impact Kumar's optimism contrasts sharply with other tech leaders' warnings. Klarna CEO Sebastian Siemiatkowski recently echoed Amodei's concerns, predicting AI could trigger a recession by replacing white-collar jobs. His company cut its workforce from 5,500 to 3,000 people over two years due to AI-driven productivity gains. However, Kumar acknowledges uncertainty remains. "I don't know what's the right answer, but I at least know that the model is going to change," he said, emphasizing that multiple outcomes are plausible in the AI era. AI Masterclass for Students. Upskill Young Ones Today!– Join Now

Why deep domain knowledge can make your career AI-proof
Why deep domain knowledge can make your career AI-proof

Time of India

timean hour ago

  • Time of India

Why deep domain knowledge can make your career AI-proof

AI models are evolving fast, but they need the right context, framing Last month, 30 mathematicians convened in Berkeley, California to test the mathematical capabilities of OpenAI's o4mini model. The results stunned them. The model solved some of the hardest problems they could throw at it. With artificial intelligence evolving at break-neck speed, white-collar professionals—particularly technologists—are asking how to stay relevant when exceptional problem-solving is now available by subscription. The consensus from industry thinkers is clear: the moat that matters is deep domain expertise, coupled with a willingness to wield AI as a partner rather than a rival. Heather Dawe, chief data scientist for UST, UK has watched the field mature from statistical curiosity to strategic imperative, and she believes the pendulum is swinging back towards contextual judgement. 'Domain expertise will certainly become more valuable. As AI automates more and more routine activities within a business domain, the ability to validate the processes completed by AI and to combine the use of AI with this expertise is becoming increasingly important. Domain experts who find ways to create and innovate new business models and services with AI will thrive in the new ways of working.' Her conviction is rooted in bruising experience. 'I have been a data scientist for over 20 years and have seen many examples where poor understanding of a business problem led to sub-standard AI,' she recalls, adding that every new project at UST now begins with a business deep dive rather than a model selection workshop. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Giao dịch vàng CFDs với sàn môi giới tin cậy IC Markets Tìm hiểu thêm Undo The same principle underpins an insurance modernisation project at WNS. Gautam Singh, who heads analytics, data and AI, describes how underwriters drowning in fragmented information were paired with an 'agentic' research assistant made up of specialised AI agents. 'AI alone doesn't drive transformation – AIpowered, human-led solutions do,' he says. 'Throughout the process, the domain experts guided the data scientists, validating findings and ensuring the final outputs reflected deep industry knowledge and sound judgement. The partnership resulted in a significant reduction in report turnaround times, improved accuracy, and enhanced decision-making.' For Singh, the moral is unmistakable: continuous feedback between human specialists and evolving models is the only way to keep outputs reliable as regulations, markets and edge cases shift. AI-augmented experts Ramprakash Ramamoorthy at Zoho Corp has coined a phrase for this symbiosis: the AI-augmented expert . In his view, 'the real competitive advantage will belong to those who can apply [foundational AI tools] with a deep, practical understanding of their industry. We will see the rise of the AI-augmented expert.' To get there, he advises newcomers to adopt a T-shaped mindset: 'The most successful careers will be built on a broad understanding of AI tools with a profound depth of expertise in a specific field.' Zoho engineers who straddle both arms of the T, he notes, are the ones spotting subtle anomalies in customerexperience data and framing them as solvable AI tasks. Jayachandran Ramachandran, SVP of Artificial Intelligence Labs at C5i, cautions that expertise today must cover more than facts, it must encompass workflow, integration and softskill storytelling. 'Subject-matter experts with a nuanced understanding of organisational business workflows and integration complexities are essential,' he argues. 'In a world where technology capability is increasingly commoditised, domain expertise will be the key differentiator. Success lies in blending all these dimensions seamlessly.' Ganesh Gopalan, co-founder and chief executive of sees demand surging for specialists who can be both referee and co-pilot to AI. 'AI enhances productivity, but it's domain expertise that drives meaningful, informed action. Professionals who combine domain knowledge with the ability to work alongside AI tools will be in high demand.' Inside his own company, democratic experimentation is the fastest way to build that blend. 'We regularly host internal AI hackathons with exciting prizes. These events have led to incredible ideas built by non-tech and tech teams alike, showing how accessible and powerful AI has become. You don't need to be an AI expert to benefit from it – but you do need to stay curious.' It's also worth noting that it's easier than ever to be curious because AI tools are getting more intuitive to use everyday. Governance, all experts agree, is where domain depth becomes existential. Dawe sees specialists 'advising on possible risks that could occur from the use of AI in their business area and how these risks could be mitigated'. Singh's team relies on airline operations veterans to simulate weather-disruption scenarios or legal officers to catch contract ambiguities invisible to generic models. Ramachandran's SMEs establish guardrails to ensure fairness, privacy and explainability. For Gopalan, domain experts are 'safeguards against misuse or bias.' The thread running through each example is accountability: algorithms may automate judgement, but only people steeped in context can certify that judgement as trustworthy. What, then, should an early-career technologist do? The experts converge on three imperatives. First, pick a domain and learn its language, stakeholders and edge cases— because context remains the ultimate moat. Second, acquire enough AI literacy to question, fine-tune and safely deploy the tools now flooding every workspace. Third, cultivate curiosity and collaboration, because innovation increasingly happens at the intersection of coded patternmatching and lived experience. 'The openness between AI developers and business experts to collaborate together and share their skills to innovate new AI solutions is where I see the most success,' Dawe says. AI Masterclass for Students. Upskill Young Ones Today!– Join Now

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store