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’85 per cent Indians consume video content online every week’

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MUMBAI: Kantar TNS’ recently-conducted Connected Life study has concluded that 85 per cent of Indian consumers consume video content online every week. The study shows that this consumption is spread across various platforms such as video content that appears in social feeds, free video on platforms such as YouTube along with some paid online TV subscription services as well.

What differentiates the Indian video consumer from its global counterparts is, while the weekly trend translates strongly into daily online video consumption as well (global average = 65 per cent), in India, only less than half of these weekly users watch online videos daily (39 per cent).

The barriers that stop online video from becoming a mainstream daily habit are mainly around high data costs and patchy connectivity.

Kantar TNS India executive director Anusheel Shrivastava said on a positive note, “With Jio’s launch the data rates are already seeing a drop; this along with improved availability of public WiFi will help in lowering the barriers. It may not be long before the online video landscape in India will change”.

Connected Life data showed that free online video, such as YouTube, is watched by a large proportion of connected consumers daily, with Cambodian internet users watching the most at 94 per cent, followed by Hong Kong (84 per cent) and China (78 per cent); whereas in India it is at 39 per cent. Two thirds (62 per cent) of people online are also watching videos that appear on their social feed, either from brands, news sources or their friends. Connected consumers in mobile-first markets are consuming a lot of video in this way, with 93 per cent of internet consumers in Cambodia watching social video daily, 80 per cent in Malaysia and 69 per cent in Vietnam. Digital channels are allowing one in three (32 per cent) connected consumers to access on-demand channels, allowing them to catch up on broadcast TV content online. Some are also using paid-for subscription services such as Netflix, viewed by 11 per cent daily across the region.

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Kantar TNS digital director APAC Zoë Lawrence said: “There’s been an explosion in the consumption of online ‘on-demand’ viewing across Asia Pacific, creating new media moments that didn’t exist in a traditional marketing world.Online video provides brands with an opportunity to tell their story in a different way; we’re seeing a lot of brands succeed with long-format video and also great creative work that overcomes some of the challenges of video in a social feed. If the content is good enough, people will watch it. Brands now know that simply putting their TVC online will not work; they need to develop content that works well within the context of the online channel they are using.”

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Why Sam Altman was fired: Microsoft CTO email reveals board failure

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WASHINGTON: At OpenAI, the fight was not about artificial intelligence going rogue—it was about who got the GPUs.
An internal email from Microsoft chief technology officer Kevin Scott, sent on November 19, 2023, offers the clearest account yet of the events that culminated in the sudden firing of Sam Altman as OpenAI’s chief executive. Far from a single ideological rupture, Scott describes a combustible mix of resource wars, bruised egos and a board ill-equipped to manage the world’s hottest AI company.

According to the email, addressed to Microsoft chief executive Satya Nadella, president Brad Smith and other senior leaders, OpenAI co-founder Ilya Sutskever had been “increasingly at odds” with Altman on two fronts.

Read the full email below to find out:

[This document is from Musk v. Altman (2026).]

From: Kevin Scott

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Sent: Sunday, November 19, 2023 7:31 AM

To: Frank X. Shaw, Satya Nadella, Brad Smith, Amy Hood, Caitlin McCabe

Frank,

I can help you with the timeline and with our best understanding of what was going on. I think the reality was that a member of the board, llya Sutskever, had been increasingly at odds with his boss, Sam, over a variety of issues.

One of those issues is that there is a perfectly natural tension inside of the company between Research and Applied over resource allocations. The success of Applied has meant that headcount and GPUs got allocated to things like the API and ChatGPT. Research, which is responsible for training new models, could always use more GPUs because what they’re doing is literally insatiable, and it’s easy for them to look at the success of Applied and believe that in a zero sum game they are responsible for them waiting for GPUs to become available to do their work. I could tell you stories like this from every place l’ve ever worked, and it boils down to, even if you have two important, super successful things you’re trying to work on simultaneously, folks rarely think about the global optima. They believe that their thing is more important, and that to the extent that things are zero sum, that the other thing is a cause of their woes. It’s why Sam has pushed us so hard on capacity: he’s the one thing about the global optima and trying to make things non-zero sum. The researchers at OAl do not appreciate that they would not have anywhere remotely as many GPUs as they do have if there were no Applied at all, and that Applied has a momentum all its own that must be fed. So the only reasonable thing to do is what Sam has been doing: figure out how to get more compute.

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The second of the issues, and one that’s deeply personal to llya, is that Jakub moreso than Ilya has been making the research breakthroughs that are driving things forward, to the point that Sam promoted Jakub, and put him charge of the major model research directions. After he did that, Jakub’s work accelerated, and he’s made some truly stunning progress that has accelerated in the past few weeks. I think that Ilya has had a very, very hard time with this, with this person that used to work for him suddenly becoming the leader, and perhaps more importantly, for solving the problem that Ilya has been trying to solve the past few years with little or no progress. Sam made the right choice as CEO here by promoting Jakub.

Now, in a normal company, if you don’t like these two things, you’d appeal to your boss, and if he/she tells you that they’ve made their decision and that it’s final, your recourse is accept the decision or quit. Here, and this is the piece that everyone should have been thinking harder about, the employee was also a founder and board member, and the board constitution was such that they were highly susceptible to a pitch by Ilya that portrays the decisions that Sam was making as bad. I think the things that made them susceptible, is that two of the board members were effective altruism folks who all things equal would like to have an infinite bag of money to build AGI-like things, just to study and ponder, but not to do anything with. None of them were experienced enough with running things, or understood the dynamic at OAI well enough to understand that firing Sam not only would not solve any of the concerns they had, but would make them worse. And none of them had experience, and didn’t seek experience out, in how to handle something like a CEO transition, certainly not for the hottest company in the world.

The actual timeline of events through Friday afternoon as I understand them:

Thursday late night, the board let’s Mira know what they’re going to do. By board, it’s Ilya, Tash, Helen, and Adam.

Mira calls me and Satya about 10-15 minutes before the board talks to Sam. This is the first either of us had heard of any of this. Mira sounded like she had been run over by a truck as she tells me.

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OAl Board notifies Sam at noon on Friday that he’s out, and that Greg is off the board, and immediately does a blog post.

OAl all hands at 2P to rattled staff.

Greg resigns. He was blindsided and hadn’t been in the board deliberations, and hadn’t agreed to stay.

Jakub and a whole horde of researchers reach out to Sam and Greg trying to understand what happened, expressing loyalty to them, and saying they will resign.

Friday night Jakub and a handful of others resign.

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Loop AI raises $14m series A to boost restaurant delivery operations

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CALIFORNIA: Loop AI has just served itself a sizeable helping of fresh capital. The enterprise AI company focused on the restaurant and retail back office has raised $14 million in a Series A round, led by fintech investor Nyca Partners, signalling growing confidence in the future of food delivery as a profit engine rather than a margin killer.

Alongside the funding, Osama Bedier, former executive at Google and GoDaddy and now an investment partner at Nyca, will take a seat on Loop AI’s board. His arrival adds heavyweight experience as the company enters its next phase of growth.

Loop AI operates where artificial intelligence meets operational grit. Its platform helps restaurants manage the often messy realities of delivery, from margins and workflows to customer behaviour, using what it calls agentic workflows to automate and optimise back-of-house decisions.

Bedier believes the timing could not be better. With restaurants under pressure to deliver better customer experiences while running leaner operations, AI is fast becoming a necessity rather than a nice-to-have. He praised founders Anand Tumuluru and Sundar for building technology he sees as essential to the future of dining.

The backdrop is a delivery market that is ballooning fast. In 2025, the US delivery sector is estimated at $140 billion, accounting for about 10 per cent of the market. By 2035, that figure is expected to swell to $1 trillion, with delivery claiming nearly a third of all restaurant sales. What was once an add-on is quickly becoming the main course.

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For Loop AI, delivery is not just another channel, it is the new drive-through. As eating habits tilt ever further towards takeout and doorstep dining, the company’s mission is to help restaurants grow without watching profits evaporate along the way.

Customers appear to be buying into the pitch. California-based casual dining brand Lazy Dog credits Loop AI with helping power rapid growth in its delivery business, while fast-casual chain Starbird says the platform has turned third-party delivery from a necessary evil into a viable growth lever.

Since 2024, Loop AI has grown sixfold and now supports thousands of restaurants. The new funding will be used to expand its product offering and hire across its offices in New York, San Francisco, Tampa and Bangalore.

In an industry where delivery has long been blamed for thin margins and operational headaches, Loop AI is betting that smarter systems can finally make the maths work. For restaurant operators juggling kitchens, couriers and customers, that could be a recipe worth following.
 

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Food for thought Feeding India serves 23 crore meals and counting

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MUMBAI: Hunger may be stubborn, but Feeding India is proving it is not unbeatable. The not-for-profit has served more than 23 crore meals over the past seven years, turning nourishment into a nationwide movement that now spans over 150 cities, according to its Annual Report for FY 2024–25.

Titled A Year of Nourishing Dreams, the report captures a year in which the organisation sharpened its focus from simply filling plates to shaping futures. At the heart of its work is the fight against child malnutrition, with Feeding India now supporting over 1.4 lakh children every day through its partner network.

Its daily feeding programme has grown into a vast ecosystem, covering 1,097 partner schools and 726 Anganwadi centres. These include 275 formal schools, 720 informal learning centres, 58 schools for children with disabilities, and 32 orphan homes. Menus are tailored to local tastes, from rajma chawal in the North to idli sambhar in the South, ensuring meals are nutritious, culturally familiar and widely accepted. Food is provided through a mix of on-site kitchens and centralised cooking facilities.

Recognising that malnutrition often begins long before children enter classrooms, Feeding India has stepped deeper into early childhood care. Across districts such as Gurugram, Kushinagar and Varanasi, the organisation has worked with 726 Anganwadi centres, impacting around 27,000 children aged 0–6 years. More than 30 Anganwadis have been upgraded using Building as Learning Aid concepts, creating brighter, safer and more child-friendly spaces. In Varanasi, a pilot programme now provides full breakfast and lunch meals, a significant shift from the usual supplementary snacks.

The year also tested the organisation’s ability to respond in crisis. During 2024–25, Feeding India distributed nearly 2,000 ration kits following floods in Assam and landslides in Kerala, and served over 1.9 lakh hot meals after the Uttarakhand cloudburst. Relief operations extended to Bihar, Andhra Pradesh and Tamil Nadu in the wake of Cyclone Fengal.

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Community participation remains central to the model. Events such as the Zomato Feeding India Concert, featuring Dua Lipa, brought together 28,000 people in 2024, while initiatives like Poshan Potli nutrition kits supported tuberculosis patients during recovery in Varanasi.

Funding patterns underline the power of platforms. Zomato users contributed nearly 80 per cent of total funds, amounting to Rs 74 crore, while Blinkit customers added 15 per cent, or Rs 14 crore. The remaining around 5 per cent came from institutional donors, employees and direct website contributions. Donors can track their impact directly via the Zomato or Blinkit apps, seeing how many meals they have funded and where those meals were served.

The report also highlights tangible outcomes. At the Malvi Educational and Charitable Trust in Gujarat, students recorded an average BMI improvement of 9.50 per cent after daily nutritious meals were introduced.

“Every meal represents hope, dignity and opportunity for a child who might otherwise go hungry,” a Feeding India spokesperson said, adding that the focus remains on nourishing potential through nutrition, infrastructure and care.

As the numbers grow, the message is simple but powerful, feeding a child today is an investment in tomorrow, and Feeding India is determined to keep that promise alive, one meal at a time.

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