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Mint
12 hours ago
- Business
- Mint
Bharat Collections Summit & Awards 2025 Spotlights India's ₹55,000 Cr Recovery Market
India's debt collections sector, valued at ₹ 55,000 crore as per a McKinsey and Spocto X report, is emerging as a critical force in the broader credit ecosystem. At a time when conversations around responsible lending and recovery are gaining ground, the Bharat Collections Summit & Awards 2025 provided a timely and focused event to foreground this pivotal but often underrepresented function. As India's largest collections event it brought together some of the nation's major lenders, collections leaders, agencies and policymakers. Held at The Lalit, Mumbai on 12th June 2025, and organised by The Brainalytics, the event brought together more than 200 senior leaders from over 50 financial institutions. Spocto X served as the Presenting Partner, while YuCollect was the Collections Infrastructure Partner. The day-long summit aimed to reframe collections not just as an operational necessity but as a strategic, tech-enabled driver of financial stability. Find the spotlight on leaders reimagining collections Anil Tandon, Senior EVP – Retail Portfolio Management, HDFC Bank, opened the summit with a keynote on the 'AI Revolution in Collections.'His metaphor of'compliance as the third umpire' struck a chord across the room — positioning AI as a strategic partner in driving customer fairness and smarter recoveries. This sentiment carried through the day. Krishnendu Majumdar, CPTO, Yubi Group, challenged the industry to look beyond cost-saving and view collections as a growth driver. He called for'agentic AI' to help institutions scale ethically into underserved Bharat. Sagar Chaudhuri, SVP II & Head – Strategy, HDFC Bank, reinforced the urgency of creating more unified systems and transparent data flows, advocating for infrastructure-level reform that can scale responsibly. In a grounded and highly practical session, Sanju Mangrulkar, General Manager – Credit Monitoring & Policy, Central Bank of India, discussed how his team is already using AI to trace alternate borrower contacts and surface asset-related data to aid recoveries. Sukhvinder Kaur, Chief General Manager, State Bank of India, offered insights into the scale at which SBI is deploying technology. She shared that SBI — with one of the largest retail lending portfolios in the country — is using over 150 in-house AI models across fraud detection, early warning signals, and predictive collections. She emphasised that digital-first lending must be supported by digital-first collections, highlighting how AI enables personalised nudges, life-cycle monitoring, and customer-centric recovery strategies. DS Tripathi, Executive Director, Aadhar Housing Finance, drew attention to the operational realities of small-ticket lending, arguing that inefficient systems increase credit costs and can ultimately threaten business viability. Adding to the conversation on technology-led infrastructure, Bhavin Parekh, Co-Founder of YuCollect, anchored a panel on digital design and collections operations at scale. The discussion focused on how a unified, intelligent framework could create measurable impact across stakeholders. Throughout the day, panel sessions brought together experts from a wide range of institutions including ICICI Home Finance, SBI, John Deere Financial, Cent Bank Home Finance, IDBI Bank, Aadhar Housing Finance, Tyger Capital, Bajaj Capital, NPCI, Bank of Baroda, DBS, Poonawalla Fincorp, DCB Bank, Karnataka Bank, and ranged from regulatory compliance to empathetic borrower engagement, and from vendor management to the future of automation in collections. The Central Bank of India team received the 'Outstanding Achievement in Collections Strategy' award. As the day progressed, a shared consensus began to emerge — that India's collections sector must transition from reactive operations to proactive systems, rooted in ethics, data governance, and long-term sustainability. The evening featured the inaugural Bharat Collections Awards, designed to recognise excellence and innovation within the industry. Devarsh Mapuskar, Business Head, Spocto X, and Kapil Rohilla, Head of Operations, Spocto X, led the awards ceremony. Nilesh Dasri, Product Head – Digital Debt Servicing, ICICI Bank, joined the Spocto X leadership in felicitating the winners. Central Bank of India was named 'Best Collection Team of the Year,' a recognition accepted by Sanju Mangrulkar, Sukesh Jha, R.L. Nayak, and Amit Verma. Other notable awardees included Datta Chavan of Reliance ARC for innovation in collection practices,Vishal Chugh of Tata Capital as Debt Management Innovator, and Binit Jha of IDBI Bank as the 'Most Promising CDO'. Girish Patnaik of Bank of Baroda was honoured for their contributions to digital collections, while Ashish Jain, also from Bank of Baroda, received recognition for 'Ethical Leader in Risk and Debt Management'. What set this summit apart was its clear call to action: the collections function is no longer just a back-end support unit but a strategic pillar that intersects with customer experience, credit health, and institutional trust. As Spocto X and YuCollect continue to shine a spotlight on the sector, the industry is inching closer to a future where collections are not just efficient and tech-driven, but also empathetic and inclusive. This summit wasn't just a one-day gathering. It marked a foundational shift in how collections are viewed, managed, and evolved across institutions — from silos to systems, from paperwork to platforms, and from instinct to intelligence.
Business Insider
15 hours ago
- Business
- Business Insider
Microsoft (MSFT) Layoffs Expand a Major AI Trend
Microsoft (MSFT) will reportedly cut thousands of jobs soon as it looks to reduce its sales team. This comes as the company embraces artificial intelligence (AI), which allows it to offload some responsibilities of workers to AI. The tech giant has also made huge advancements in AI, pledging $80 billion to the sector this year. Confident Investing Starts Here: With its huge investments in AI, Microsoft needs to show investors that its spending is worth something. While it's already using its data centers to increase growing AI demand, utilizing the technology to enhance the efficiency of its operations is another way to show the product of its investment. The latest Microsoft job cuts aren't the only ones it has announced recently. Just last month it laid off 6,000 workers, 3% of its workforce, to streamline organizational layers and boost efficiency. The AI Revolution Strikes the Workforce It's not just Microsoft that is laying off workers with the help of AI. Amazon (AMZN) CEO Andy Jassy said the company will experience a 'total corporate workforce' reduction due to 'efficiency gains from using AI extensively.' Other recent and upcoming Silicon Valley layoffs include: Meta Platforms (META) laid off 3,600 employees in February. Alphabet's (GOOGL) Google cut hundreds of jobs that same month, with rumors of 24,000 cuts being made in 2025. Intel (INTC) reportedly plans to reduce its workforce by more than 10,000 employees this year, following 17,500 cuts in 2024. What Jobs Will AI Come for Next? Silicon Valley inhabitants aren't the only ones threatened by AI-fueled layoffs. A report from McKinsey Global Institute highlights other industries and roles that will be affected by AI over the next five years. It expects support roles to drop 18% by 2030 compared to 2022, sales positions to decrease 13%, a 2% reduction in food service roles, and a 1% decrease in manufacturing jobs. Do AI Layoffs Affect Analyst Ratings? If they do, it's in favor of the companies making them. AI layoffs can reduce payroll spending while cutting layers of management, making companies quicker to react to market and economic trends while saving money. Of the companies mentioned above, all but Intel have consensus Strong Buy ratings. Alphabet's upside potential is the highest at 14.88%, with Amazon right on its heels at 13.7%. INTC lacks behind its tech peers with a consensus Hold rating and possible 0.88% downside.
Mint
15 hours ago
- Business
- Mint
Bharat Collections Summit & Awards 2025 Spotlights India's ₹55,000 Cr Recovery Market
India's debt collections sector, valued at ₹ 55,000 crore as per a McKinsey and Spocto X report, is emerging as a critical force in the broader credit ecosystem. At a time when conversations around responsible lending and recovery are gaining ground, the Bharat Collections Summit & Awards 2025 provided a timely and focused event to foreground this pivotal but often underrepresented function. As India's largest collections event it brought together some of the nation's major lenders, collections leaders, agencies and policymakers. Held at The Lalit, Mumbai on 12th June 2025, and organised by The Brainalytics, the event brought together more than 200 senior leaders from over 50 financial X served as the Presenting Partner, while YuCollect was the Collections Infrastructure Partner. The day-long summit aimed to reframe collections not just as an operational necessity but as a strategic, tech-enabled driver of financial stability. Find the spotlight on leaders reimagining collections Anil Tandon, Senior EVP – Retail Portfolio Management, HDFC Bank, opened the summit with a keynote on the 'AI Revolution in Collections.'His metaphor of'compliance as the third umpire' struck a chord across the room — positioning AI as a strategic partner in driving customer fairness and smarter recoveries. This sentiment carried through the day. Krishnendu Majumdar, CPTO, Yubi Group, challenged the industry to look beyond cost-saving and view collections as a growth driver. He called for'agentic AI' to help institutions scale ethically into underserved Bharat. Sagar Chaudhuri, SVP II & Head – Strategy, HDFC Bank, reinforced the urgency of creating more unified systems and transparent data flows, advocating for infrastructure-level reform that can scale responsibly. In a grounded and highly practical session, Sanju Mangrulkar, General Manager – Credit Monitoring & Policy, Central Bank of India, discussed how his team is already using AI to trace alternate borrower contacts and surface asset-related data to aid recoveries. Sukhvinder Kaur, Chief General Manager, State Bank of India, offered insights into the scale at which SBI is deploying technology.'SBI — with a ₹ 7 trillion AUM in retail lending — is using over 150 in-house AI models across fraud detection, early warning signals, and predictive collections.' She emphasised that digital-first lending must be supported by digital-first collections, highlighting how AI enables personalised nudges, life-cycle monitoring, and customer-centric recovery strategies. DS Tripathi, Executive Director, Aadhar Housing Finance, drew attention to the operational realities of small-ticket lending, arguing that inefficient systems increase credit costs and can ultimately threaten business viability. Adding to the conversation on technology-led infrastructure, Bhavin Parekh, Co-Founder of YuCollect, anchored a panel on digital design and collections operations at scale. The discussion focused on how a unified, intelligent framework could create measurable impact across stakeholders. Throughout the day, panel sessions brought together experts from a wide range of institutions including ICICI Home Finance, SBI, John Deere Financial, Cent Bank Home Finance, IDBI Bank, Aadhar Housing Finance, Tyger Capital, Bajaj Capital, NPCI, Bank of Baroda, DBS, Poonawalla Fincorp, DCB Bank, Karnataka Bank, and ranged from regulatory compliance to empathetic borrower engagement, and from vendor management to the future of automation in collections. The Central Bank of India team received the 'Outstanding Achievement in Collections Strategy' award. As the day progressed, a shared consensus began to emerge — that India's collections sector must transition from reactive operations to proactive systems, rooted in ethics, data governance, and long-term sustainability. The evening featured the inaugural Bharat Collections Awards, designed to recognise excellence and innovation within the industry. Devarsh Mapuskar, Business Head, Spocto X, and Kapil Rohilla, Head of Operations, Spocto X, led the awards ceremony. Nilesh Dasri, Product Head – Digital Debt Servicing, ICICI Bank, joined the Spocto X leadership in felicitating the winners. Central Bank of India was named 'Best Collection Team of the Year,' a recognition accepted by Sanju Mangrulkar, Sukesh Jha, R.L. Nayak, and Amit Verma. Other notable awardees included Datta Chavan of Reliance ARC for innovation in collection practices,Vishal Chugh of Tata Capital as Debt Management Innovator, and Binit Jha of IDBI Bank as the 'Most Promising CDO'. Girish Patnaik of Bank of Baroda was honoured for their contributions to digital collections, while Ashish Jain, also from Bank of Baroda, received recognition for 'Ethical Leader in Risk and Debt Management'. What set this summit apart was its clear call to action: the collections function is no longer just a back-end support unit but a strategic pillar that intersects with customer experience, credit health, and institutional trust. As Spocto X and YuCollect continue to shine a spotlight on the sector, the industry is inching closer to a future where collections are not just efficient and tech-driven, but also empathetic and inclusive. This summit wasn't just a one-day gathering. It marked a foundational shift in how collections are viewed, managed, and evolved across institutions — from silos to systems, from paperwork to platforms, and from instinct to intelligence. Note to the reader: This article is part of Mint's paid consumer connect initiative and is independently created by the brand. Mint assumes no editorial responsibility for the content, including its accuracy, completeness, or any errors or omissions. Readers are advised to verify all information independently.
Yahoo
4 days ago
- Business
- Yahoo
How Business Insider investigated the true cost of data centers
Tech companies are spending hundreds of billions of dollars building data centers, racing to power an AI revolution they say will bring broad benefits and enormous profits. The actual price, though, has never been fully measured. So a team of Business Insider reporters and editors set out to find the true cost of the US data center boom — in water, power, pollution, and tax incentives. We pulled obscure state records, scoured corporate disclosures, and sought analysis and guidance from government researchers in Virginia and elsewhere. We spoke to engineering specialists who study data centers, including Shaolei Ren at the University of California, Riverside, and Vijay Gadepally of the Massachusetts Institute of Technology. We also spoke to researchers who study incentive packages, such as Kasia Tarczynska of Good Jobs First, a research group that advocates for transparency and equality in public subsidies. And we sought input from companies and industry groups. The result is the most complete accounting yet of data centers' impact on our environment, economy, and lives. Here's how we did it. Data centers can never be without power. Developers build backup generators to provide emergency electricity. Since these generators emit air pollution, they are regulated by state environmental agencies and need permits. We requested these air permits and applications from 50 states and Washington, DC, asking agencies to search permits using federal industry codes associated with data centers. To confirm state searches were complete, Business Insider cross-referenced permits against company disclosures, news articles, and data from Baxtel, and other trade websites. Some of the permits we obtained were actually for other types of facilities. If public or corporate records confirmed the facility was not a data center, we removed it from our analysis. We compiled permits for 1,240 existing or planned data centers across the country, the most definitive tally to date. Tracking the year each permit was first issued reveals a construction boom. Until 2010, companies had filed permits for 311 data centers. By 2024, that number had nearly quadrupled. Often the permit holders are subsidiaries of Big Tech companies, with unfamiliar names like Nova Mango Farms. Business Insider determined the owners using emails, addresses, and other information on permit applications, secretary-of-state disclosures, county databases, and SEC filings. Business Insider mapped location information from the permits onto the Aqueduct Water Risk Atlas built by the World Resources Institute, a Washington, DC, group that advocates sustainability. The atlas measures a location's relative water stress — the ratio between demand and available, renewable supplies. Business Insider found that 40% of data centers were sited in areas of high or extremely high water stress. Data centers can use staggering amounts of water. Business Insider requested metered water use records and water supply agreements from dozens of public utility agencies for every data center in areas with extremely high water stress. Data center water use is a closely guarded secret. Many agencies denied our requests for facility-specific water use or released the records only in aggregate for all data centers in a water utility's service area. In Denver and Colorado Springs, Colorado, utility agencies sued Business Insider to prevent the release of metered water use records. Business Insider prevailed in both lawsuits. Business Insider found that some of the largest data center facilities were permitted to use more water a day than you might expect nearly 49,000 Americans to use. Companies also disclose little information on how much power their US data centers consume. Data center power use varies based on factors including the types and frequency of use of servers, cooling systems, and other infrastructure. To account for this, Business Insider calculated a range of estimated annual data center electricity use. To calculate this range, Business Insider used air permit data to identify the total power-generation capacity of every backup generator at each facility. Companies rarely install generator capacity that is more than twice what a data center consumes — and often they install significantly less than that. So Business Insider, in consultation with experts, conservatively estimated that a data center's maximum electricity use is between half and 80% of its generators' capacity. A 2024 federal report estimates that across the industry, data centers operate at just 50% of that maximum electricity use level, to avoid straining their equipment. So Business Insider multiplied the low and high ends of its initial range by 50%. Business Insider's data includes permits for data centers that are not yet built and fully online, and therefore estimates expected electricity use in the near future. If all permitted data centers go online, we estimate, they will use between 149.6 terawatt-hours and 239.3 terawatt-hours a year. Business Insider's low-end estimate is roughly equivalent to the state of Ohio's electricity needs in 2023, and on the high end, is nearly as much power as the entire state of Florida used that same year. Our estimates are conservative. The low end of our estimate is below the federal report's estimate for data center power use in 2023. The federal report estimates data center power use could reach the upper end of our estimate by 2026. Business Insider used the range average to identify the 322 largest facilities in our dataset that, according to our estimate, consume 40 megawatt-hours of electricity or more an hour. An Amazon spokesperson said the methodology "oversimplifies complex data center operations and is based on assumptions that do not account for important differences in how companies build and operate data centers." Google and Meta did not respond to Business Insider's queries about data center power use estimates, and QTS declined to comment. A Microsoft spokesperson acknowledged that its data centers "do not always run at 100% of their installed capacity." Nineteen permits across 10 states — including 12 held by Google — have their generator capacity information fully or partially redacted under public disclosure exemptions for trade secrets. Business Insider was unable to estimate the electricity use of these facilities, so our estimate likely undercounts the true total. The US uses highly polluting fossil-fuel-fired sources for at least 60% of its electricity. Data centers draw power from a wide regional grid, so Business Insider needed to estimate the public health impact attributable to data centers' use of electricity generated from far-away power plants. The US electricity grid is complex and does not map closely to state boundaries. To model the complexity of the US electricity grid, Business Insider used an Environmental Protection Agency tool called AVERT that splits the contiguous 48 states into 14 independent electricity regions that approximate grid regions. Using our estimate for data center power consumption, along with US Energy Information Administration data and the AVERT tool, Business Insider calculated the likely share of total power use attributable to data centers in each of these 14 regions. Then, using another EPA tool with the acronym COBRA, Business Insider estimated the public health cost engendered by that share of total electricity-generation-related pollution in each region. Even a careful calculation like this is inherently imperfect, but in the absence of industry transparency about such emissions it provides a rare and well-founded estimate of the health costs of the data center boom. Business Insider estimated that annual public health costs from electricity generation for data centers could reach between $5.7 billion and $9.2 billion. Power plants are not the only source of data center air pollution. The diesel backup generators installed at data centers emit volatile organic compounds, nitrous oxides, sulfur dioxides, and particulate matter — all regulated air pollutants the EPA labels as hazardous to human health. Air permits issued to these facilities set total annual pollutant emission limits that determine how frequently their generators can be used. Data centers generally run their generators infrequently so emit only a fraction of the pollutants their permits allow. A 2024 report to the state legislature in Virginia — which is home to nearly a third of US data centers with permits — calculated that data center backup generators on average emit 7% of their permitted pollution limits each year. Business Insider used that percentage to estimate each county's air pollutant emissions from data center backup generators. Business Insider then input these county-by-county totals into COBRA, which models how air pollution emitted in a county affects public health nationwide. The tool assigns a dollar figure to what it would cost to avoid negative health outcomes like premature deaths, asthma attacks, heart attacks, and missed school or work days. The COBRA tool estimated that air pollutants emitted by data centers across the country could trigger nearly 20,000 asthma symptom cases a year and create a $385 million annual burden on public health. Generator pollution is more harmful to communities already overburdened by environmental pollutants. A community that already has high levels of air pollution will experience greater negative health impacts from additional pollutants, for example, than a community that isn't already saturated with harmful pollutants. To better understand their impact on these communities, Business Insider mapped all 1,240 data center locations onto a third EPA tool called EJ Screen that combines census and pollutant data within a mile radius of a specified location. We found that more than 230 data center locations were in communities highly overburdened by environmental pollutants. Business Insider requested and obtained the most detailed data-center-related economic development deals and annual tax incentive disclosures for facilities in and around Columbus, Ohio. Some of the oldest data center deals in the state are in Franklin and Licking counties, and companies are required to disclose how much they've saved from these tax exemption agreements each year, which made the state a useful case study for judging data centers' actual economic impact. Business Insider tallied these numbers, then used company-reported property investment totals to calculate total state and local sales and use tax savings (7.5% for Franklin County and 5.75% for Licking County). We did not include personal property tax in our calculations, as Ohio eliminated that tax. Because of fluctuations in the number of jobs employed at data centers, Business Insider also did not include state or local job creation tax credits in the analysis. We nevertheless found that these tax incentive packages given to tech companies were highly lucrative, amounting to as much as $2 million in tax savings per full time job at a data center. Reporting: Hannah Beckler, Dakin Campbell, Daniel Geiger, Rosemarie Ho, Narimes Parakul, Adam Rogers, Ellen Thomas Editing: Jeffrey Cane, Rosalie Chan, Jason Dean, Esther Kaplan, Jake Swearingen Research: Darren Ankrom, Schuyler Mitchell, Trey Strange, Yuheng Zhan Design and visuals: Dan DeLorenzo, Isabel Fernandez-Pujol, Jinpeng Li, Kim Nguyen, Randy Yeip, Rebecca Zisser Photography: Kendrick Brinson, John David-Richardson, Greg Kahn, Brian Palmer, Jesse Rieser Video: Robert Leslie, Gary Moon, Marco Secci Copy editing: Mark Abadi, Kevin Kaplan Read the original article on Business Insider
Yahoo
13-06-2025
- Business
- Yahoo
AI's agentic era will augment worker capacities: Cisco president
Meta Platforms (META) is planning to invest $14 billion into artificial intelligence infrastructure developer Scale AI in a new deal reported by CNBC, the latest headline in the AI Revolution as more firms adopt AI agents onto their platforms. Cisco Systems (CSCO) President and Chief Product Officer Jeetu Patel comes on Catalysts to speak with Madison Mills on the company's investments and acquisition of AI firms, the adoption of AI applications in the workforce, and expansion plans. Catch RBC Capital Markets managing director Rishi Jaluria share his perspective on the software environment and AI adoption amid the Trump administration's economic policies. To watch more expert insights and analysis on the latest market action, check out more Catalysts here. Meta could pay nearly $15 billion for stake in scale AI, according to a report from the Information, as the company looks to expand its AI ambitions. Joining me now on this and more G2 Patel. He is Cisco's President and Chief Product Officer. Great to have you on this morning, G2. The latest AI investment from a tech company with regards to meta. How are company leaders thinking about AI expansion right now? And are you looking at any potential acquisition opportunities in a similar manner? Madison, it's great to see you and you know, this is such a, uh, accelerated time for innovation in the industry where if you think about what's happening, we are moving in AI from this kind of interactive mode of asking a question to a chatbot and intelligently getting an answer to now moving into this agentic era where agents are going to be able to autonomously, you know, complete tasks and jobs and that's going to have a very different level of, you know, appetite for infrastructure whether it be compute, power, networking, security, those are going to be pretty important, underlying kind of infrastructure components to power this movement. So we are seeing a fair amount of innovation across the board. We are pretty heavily invested in the AI industry. We're actually making sure that, you know, we've had strategic investments in multiple different companies. Uh, and uh, we just about a year ago made sure that we, um, we had a great acquisition with Splunk, which is going really well. And then there's a ton of innovation that's going on. So right now I'm tuning in from San Diego where we have 22,000 of our closest customers that we announced the largest innovation payload in the history of the company yesterday. And the reaction has been palpable because there's so much innovation that customers are starting to do to make sure that they stay relevant in this AI movement. Yeah, and G2, you have obviously been consequential in the company sort of two-year turnaround plan or reinnovation plan, I should say. And it's been interesting as someone who talks to investors a lot to hear them go from describing Cisco as a pure software name to describing it as an AI stock. What are you going to do to continue that momentum? To make sure that investors still see you as an AI play? You know, the the easy answer on that one is you have to keep innovating and staying a step ahead of the market. And uh, we are lucky in the sense that the the natural appetite with this agentic era that we're moving into is that there's going to be a demand for two things that we have in spades. The first one is, uh, you know, low latency, high performance, power efficient networking. And then the second one is safety and security so that we can make sure that we have security becoming an accelerant for adoption in this market because right now if you don't establish trust with the user, they're not going to use AI. So this is a prerequisite for AI as we move forward. So those are the two areas that we happen to be among the largest and uh, you know, we're the largest networking company in the world. We're one of the largest security companies in the world. So it happens to be that we've got the core foundation of the technology to continue to fuel this movement. And G2, I've heard you talk about how we are still just in the early innings when it comes to AI, that will move to more of an agentic AI workforce even going forward. Talk to me about how you are thinking about AI reshaping the labor market going forward here. To what degree do you see replacement of jobs? And how do you think the economy could potentially respond to that as well? You know, any such disruption and re-platforming that happens, there's going to be some jobs that change, but, uh, I don't worry as much about AI taking jobs. I worry about people that use AI better than someone else actually being the right people for the job. And so, um, there, you know, if you look at the agentic area, there's a couple things. Firstly, uh, I would I would urge people to worry less about AI taking the job but think about all the areas where we don't get to because we just simply don't have time. This agentic era is going to actually augment capacity so that we can do things that we weren't able to do because we couldn't get to it. And number two, there's going to be certain things that machines do really well, which then allow us to do things at a higher order. So I'll give you an example. Coding is one of those examples where, um, the way that coding happens today and the way that an engineer spends their time might be very different from the way they spend the time in the next three years because you'll actually see that there'll be autonomous code written, but that doesn't mean that we don't need engineers. It just means that engineers don't need to specialize a certain percentage of the time on syntax, and they can specialize on higher order bits. And and it makes me wonder too about, when we talk about your expansion plans, about the partnership with Nvidia, a move to be able to create this kind of unified architecture to simplify the build out of AI ready AI ready data center networks. To what degree does that partnership with Nvidia allow you to sort of own the networking required for AI and do you see Cisco as the leader in that move? So I'm biased and I definitely do, but if you think about the way that this market's evolving is there's an ecosystem of providers. It's ourselves, it's Nvidia, it's OpenAI, it's AMD, and we all kind of work together to make sure that we can build out these very large capacity data centers that are happening all over the world, frankly, wherever there's availability of power, you're seeing these data centers. And it would be great for having American companies be the ones that are powering and fueling these data centers. And so we happen to be one of them. We happen to have, uh, you know, at scale, one of them, one of the most credible businesses for the data centers. And I was just in the Middle East, Madison, just a couple weeks ago and we announced partnerships with, um, the humane project, which is Saudi Arabia's project for their initiative for doing data center build outs. We also announced a partnership with G42, which is the United Arab Emirates and Abu Dhabi's effort to do the same. We've announced a partnership with Stargate UAE. So you could start to expect us to be more and more present in all of these data center build outs because there's so much appetite for networking. These AI workloads are network hungry and if you actually delay the packet getting from point A to point B, that actually keeps the GPU idle and that's not a good thing. And for both training and inferencing workloads, you tend to have a fair amount of demand for high speed, low latency, high performance, energy efficient networking. G2, great overview and congratulations on the new role as well. Our first time speaking with you since that promotion. Really appreciate your time this morning. Thank you so much for having me. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
