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New Delhi: After two <keyword id="19945688" type="General" weightage="20" keywordseo="acquisitions" source="keywords">acquisitions</keyword> this year, India's second-largest IT services company <keyword id="19906778" type="General" weightage="100" keywordseo="Infosys" source="keywords" meta.keywordsubtype="org" meta.entityname="Infosys" meta.hostid="268" meta.entityid="Infosys">Infosys</keyword> is on the lookout to scoop-up more firms and says the acquisition matching scale of recent in-tech buy is certainly a possibility. In an interview to PTI, <keyword id="24144" type="General" weightage="20" keywordseo="infosys-ceo" source="Orion">Infosys CEO</keyword> <keyword id="20115570" type="General" weightage="20" keywordseo="salil-parekh" source="keywords">Salil Parekh</keyword> said the company is keen on acquisitions in areas like data analytics, SAAS, and may look at some geographies within Europe, and the US. Asked if more acquisitions could be of the scale matching in-tech, which came with a price-tag of 450 million euros, <keyword id="20039787" type="General" weightage="20" keywordseo="parekh" source="keywords">Parekh</keyword> said, "Absolutely, I think those would be the size that we will look at in terms of scale, and given our structure we could do a few of those." Back in January, Infosys announced a definitive agreement to acquire 100 per cent of the equity share capital in InSemi Technology Services, a semiconductor design services company headquartered in India, for a consideration (including earn-outs, and management incentives and retention bonuses) totalling up to Rs 280 crore. A bigger acquisition followed in three months. In April, Infosys Germany, a wholly-owned step-down subsidiary, entered into a definitive agreement to acquire 100 per cent of the equity share capital in in-tech Holding -- leading provider of engineering R&amp;D services headquartered in Germany -- for a consideration of up to 450 million euros (about Rs 4,045 crore). "We have very good business in engineering services already within Infosys and then we did those two acquisitions, both of them in engineering services, one on semiconductor side and one on the automotive side... very strong businesses, and we feel quite good about expanding that footprint," Parekh said. Infosys is eyeing more acquisitions, he said, adding that the company is evaluating several firms. "We have a good balance sheet and good cash generation and now we are quite comfortable with the integration of acquisition in different areas. We have done engineering services, we will look at other areas... for example data analytics... may look at SAAS (software as a service) areas, and maybe at some other geographies in Europe, maybe the US as well," he said. Parekh, however, said a lot depends on strategic synergies, financial cost, cultural fit and integration aspects. "We are continuing to look, and we have things that are normally in the pipeline but those take their own time... there are a lot of discussions on strategic fit, on financial cost of it and cultural fit into the company and then how will we integrate them. Many of those discussions are ongoing and we will see what comes out," the Infosys top honcho said. On whether he is hopeful of closing more acquisitions this fiscal year, Parekh indicated that it is tough to put a timeline on the outcome of ongoing discussions. "It is difficult to say... we are evaluating several (of them). But to get a fit on the strategic parameters, financial parameters, culture, integration... all of it may not work out. But these two (InSemi and in-tech) happened relatively quickly... before that for some quarters we had not done anything. It is not a predictable thing, but the evaluation is ongoing," he said. According to the Grant Thornton Bharat Dealtracker Q2 2024 report, Indian dealmaking saw overall 501 deals, valued at USD 21.4 billion. The report said the second quarter of 2024 witnessed the highest quarterly volumes since the second quarter of 2022, while values declined due to the absence of big-ticket merger and acquisition transactions. Grant Thornton Bharat Dealtracker further said the merger and acquisition (M&amp;A) activity during the second quarter saw 132 deals worth USD 6.2 billion, marking a slight increase in volumes but a substantial 50 per cent drop in values. As per the report, domestic deals drove growth with volumes rising 29 per cent and values increasing 2.5 times compared to the first quarter of the current year. In contrast, cross-border deals experienced a decline, with volumes decreasing 24 per cent and values plummeting 85 per cent from the first quarter of 2024.

Infosys is keen on more acquisitions, says CEO Salil Parekh

It's impossible to talk about workforce innovation without addressing artificial intelligence.During a virtual roundtable, we asked Business Insider's <a target="_blank" class="" href="https://www.businessinsider.com/workforce-innovation-board-tackles-topics-such-as-c-suite-innovation-ai-worker-wellness-2024-8">Workforce Innovation board</a> to tell us how AI would transform companies over the next year.One major topic was reskilling and upskilling employees. BI's Tim Paradis, who focuses on the future of work, asked whether there were any fears that <a target="_blank" class="" href="https://www.businessinsider.com/vinod-khosla-universal-basic-income-ai-job-loss-2024-9">dire predictions of AI</a> outpacing human capabilities to learn, like those advanced in a recent article by Sun Microsystems cofounder <a target="_blank" class="" href="https://www.khoslaventures.com/ai-dystopia-or-utopia/">Vinod Khosla</a>, would prove true."The basic drivers of job creation will change with a technology that does not only augment human capabilities, but also may surpass them altogether," Khosla wrote, "leaving education and upskilling — a historical avenue for retraining and relevance — somewhat impotent."Board members rejected the grim prognostication."I disagree with that statement," said Justina Nixon-Saintil, IBM's vice president and chief impact officer, though she agreed that AI would exacerbate the digital divide."We made a commitment to scale 2 million people in AI by 2026," Nixon-Saintil said. "There's a sense of urgency in making sure we are not leaving people behind."AARP's Marjorie Powell argued that the global labor shortage was evidence of an enduring need for human workers but that no one can afford to be complacent. "You're going to have to relearn how to do your job," Powell said.Others described the importance of communicating clearly with workers about what AI means for their jobs now and in the future."We're trying to figure out how this transformation is going to occur," said Chris Deri, the president of the corporate advisory businesses at Weber Shandwick. "There has to be transparent communications and stakeholder engagement alongside figuring out these enterprise and strategic matters."The following has been edited for length and clarity.<h3 id="4a721470-9d79-4540-a871-62ad779b2870">How will the most innovative companies be transformed by AI over the next 12 months?</h3><h2 id="58f968af-3acb-493b-870e-b8d2bf021db1">Justina Nixon-Saintil, vice president and chief impact officer, IBM</h2><h3 id="a436d836-8481-4230-8a70-68bd3cfe6353">"Any tasks or jobs in the company that could be automated by AI will happen within the next year."</h3>A lot is going to change. Any tasks or jobs in the company that could be automated by AI will happen within the next year. For any jobs that cannot be automated, workers will need to understand how to work alongside AI.You need to understand what AI means for your role, how to use it to <a target="_blank" class="" href="https://www.businessinsider.com/how-use-ai-save-time-work-best-ways-use-chatgpt-2024-9">increase productivity or efficiency</a>, and how to create new products and solutions leveraging AI. That's going to be the big shift, and here we actually continue to upskill our employees to prepare for that shift.Last year, we had an AI challenge across the company, and a huge percentage of our employees participated. They had to get training first, and then they were part of a team to come up with innovative solutions leveraging AI. We did it again this summer. So the company is very focused on how to upskill all employees, because it's going to impact every role in the company.<h2 id="82ccd740-f6d2-4536-8e3d-54d9f225dac0">Anant Adya, EVP, service offering head, and head of Americas delivery, Infosys</h2><h3 id="66cbaa75-725e-4e65-880c-285d5d102e74">"How can we eat our own dog food right before we start telling customers to adopt AI?"</h3>We have two objectives. One is to become an AI-first enterprise. The first task is to see how we can start using AI in everything we do, whether it's in our claims or travel expenses, procurement, or handling invoices.Our philosophy is very simple. AI is not about replacing an individual or replacing an employee but how we can amplify our productivity by using the tools. How can we eat our own dog food right before we start telling customers to adopt AI?Second is that for all the offerings that we have today, we want to make sure we infuse AI into them. When we go and talk to our customers about task-level automation, coding or developing an application, or migrating a workload into the cloud — how can we infuse AI into everything that we do? So it doesn't just become a people-based offering but a people-plus-AI-based offering.<h2 id="961badc0-cb06-4d47-9329-ac1f1b2d70dd">Marjorie Powell, chief HR officer and senior vice president, AARP</h2><h3 id="0aee923e-e647-43c9-bf57-4c2ecc03a872">"It's important that everyone learns how to deal with prompt engineering; we are not going to hire prompt engineers."</h3>We believe there's going to be a greater emphasis on <a target="_blank" class="" href="https://www.businessinsider.com/ai-will-change-most-jobs-employers-help-workers-keep-up-2024-8">upskilling and reskilling</a> alongside AI technologies.It's important that everyone learns how to deal with prompt engineering; we are not going to hire prompt engineers. It's going to become a skill for employees to craft clear and specific prompts, adjust to the right audience, and utilize elements and problem-solving skills to identify inaccurate responses.It's about adaptability. Employees are going to have to be open to continuous learning and adapting to new AI tools and technologies in their jobs. So we make sure we're providing some kind of atmosphere and culture for being excited and energetic about learning.The workforce will have to problem-solve regardless of the tool and the technology, and it will require test-and-learn approaches. We created a "community of practice" in the company where individuals can join and help with peer learning and have a sandbox to play around with AI, depending on where they are.They can cross-pollinate across business-unit lines, and that has become very exciting. We also use that group to pilot the new technologies we're considering rolling out to the company.Data literacy is going to be very important — understanding how to read and interpret and tell a story of the data.We're also developing power users in the company, people who are really, really good at this that other employees can tap into when they need help.<h2 id="0ef1d87b-57f3-4474-bfdc-21c4f4fc1b74">Alicia Pittman, global people team chair, Boston Consulting Group</h2><h3 id="dd47519b-c973-4a00-b508-f05159afdea8">"Gen AI also offers an opportunity to avoid leakage of human capital, which obviously we all care quite a lot about."</h3>We have 35,000 employees, and north of 70% are active users of <a target="_blank" class="" href="https://www.businessinsider.com/companies-using-ai-bain-survey-roi-2024-6">generative AI</a> now. We've taken a full-company approach of upskilling and rolling out both custom and off-the-shelf tools, regardless of the job.The bottom-up innovation power of gen AI is super exciting. For example, our teams and employees have created more than a thousand custom GPTs, mini automation machines, to-do scripts, and dashboards to create bespoke analyses and build newsletters — it's super quick, and it doesn't require big investments or processes.That's one thing that's specific to gen AI versus other types of technology innovation — it's sparking a lot of energy and unlocking human capacity.Gen AI also offers an opportunity to avoid leakage of human capital, which obviously we all care quite a lot about. It really changes the game in terms of the amount of learning you can keep within the team and not lose as people move around.We're also seeing how gen AI is creating an exoskeleton for generalists to be able to take on more technical tasks. It's not going to turn a generalist analyst into an expert coder, but actually our analysis would show that they can get 80%-plus there on some coding tasks, which then you still need the expert coder to do quality control.<h2 id="d130e1cc-4600-48d2-941b-e5e5b1eddc1f">Maggie Hulce, chief revenue officer, Indeed</h2><h3 id="d4c2bf89-e522-4f0d-bbff-d8d4f916c1e1">"Do I have to build this huge team of AI engineers? The answer is no."</h3>We're trying to infuse AI in all our externally facing products and solutions to make them more insightful, intuitive, and delightful to use — and, in many ways, to create experiences that mimic what a personalized human experience might be like, but at scale.We also see most roles and workflows becoming augmented with AI. That's becoming more and more obvious as the months go on and as teams engage with AI and find applications and new ways of working.I was at Dreamforce recently in San Francisco. What Salesforce <a target="_blank" class="" href="https://www.salesforce.com/news/press-releases/2024/09/17/google-autonomous-agent-partnership/">unveiled</a> was how it wants to help companies essentially launch AI agents in sales, <a target="_blank" class="" href="https://www.businessinsider.com/verizon-is-using-generative-ai-to-streamline-business-relationships-2024-7">customer service</a>, marketing, and commerce.For many companies to get the full power of what AI can do, you have to be able to link up lots of different datasets that are usually in disparate places. It's hard work, and it's very time-consuming. To hear the stories of companies being like, "Guess what, you don't actually have to move that data around anymore," this is going to change how a lot of companies experiment and start to play with AI-oriented applications that will fundamentally change their operations.There are a lot of companies out there that have already started to light it up. We're thinking a lot about how sales, customer service, marketing, and product have operated for a long time in various silos. When you think about customer experiences, they really shouldn't be that way. They should be much more integrated than they are today. Some of these technologies can be part of the accelerants for how customer experiences can be reimagined.Part of what's been hard for people is like, "OK, but do I have to get all of these disparate parts of my company to all work together in a new way? Do I have to build this huge team of AI engineers?" The answer is no. You don't have to be the tip of the spear in terms of sophistication.<h2 id="8b49bd10-b04d-4857-afbc-b2979d5711e9">Kenon Chen, executive vice president of strategy and growth, Clear Capital</h2><h3 id="550eee1b-ffef-4a90-bbea-a94d7a6ba7a2">"As AI accelerates, you also have to accelerate the handling of data in a way that can produce accurate models."</h3>At Clear Capital, we participate in the highly regulated housing-finance industry. To enable AI to be used in accordance with our clients' expectations of governance and quality control, we've taken a three-pronged approach.First, we've been investing in creating good industry standards and working with the industry to ensure there's agreement on how AI models should be tested, how they ensure compliance with antidiscrimination and fairness practices, and how the data should be handled.Second, we've been investing a lot in higher-quality data. As AI accelerates, you also have to accelerate the handling of data in a way that can produce accurate models. So we've invested quite a bit in better digitization and generation of data.Third is fostering collaboration between innovators, industry players, policymakers, and regulators. We participated this year in the Federal Housing Finance Agency's generative-AI tech sprint, where about 80 leaders from different aspects of the housing industry brainstormed ways to apply generative AI to the lending process to improve borrowers' experience.One thing that became clear after participating in that was where we have more tools and more capabilities to accelerate. We always have to go back to the why: What is the mission? And we have to make the mission at the company level that much more clear so that as we apply these new tools, it's always for the sake of the mission.<h2 id="5e045b5f-3490-4435-8321-bab58740eaa8">Chris Deri, president, corporate advisory businesses, The Weber Shandwick Collective</h2><h3 id="79930c20-445b-4959-b644-53f07e252292">"There's a mega-trend need for all of us to adopt AI and understand it, but that means something different for different parts of our organization."</h3>We're a public-relations firm, so we're looking at AI for ourselves and for our clients.In terms of our own people, one lesson we've already learned is that there was an instinct to take a top-down approach, as in everybody's got to figure out how AI is going to change their business, but we need to take a bottom-up approach.In the simplest sense, we do consumer marketing, healthcare marketing, and corporate advisory work. We really need to design training for each of the different practitioner types.There's a mega-trend need for all of us to adopt AI and understand it, but that means something different for different parts of our organization.Another thing we're doing is creating a futuristic think-tank group in our company — three or four people who have been putting together an ecosystem to give us constant learning. We also have academic institutions, investors, technologists, and other practitioners to help.We're also looking at our business model and how we budget and scope. The classic assignment we get is companies call us and say, "We want to map our stakeholders and what their expectations are of us." That used to be a project that we would figure out with just consultant time. Now we're applying AI to do some of that.We need to figure out how to take advantage of those efficiencies to add new value — that human value. So we need to relook at our entire business and service model, and we haven't figured it all out yet.Anant talked about "eating your own dog food." We've mapped out the implementation of that stack for ourselves to test and learn, and then we will start to use that in how we show up as advisors to our clients on the same journey.<h2 id="3bf33684-0da6-43af-856a-e0d807c42725">Sharawn Tipton, chief people and culture officer, LiveRamp</h2><h3 id="2513253b-1145-4ac9-afad-cb752e1513d8">"What we're trying to do is really keep people at the center of this transformation."</h3>We're thinking a lot about the AI trust gap. I'm in San Francisco today, and I was walking around and I saw all these autonomous vehicles, and it dawned on me that my mother would never ride in one. She just does not trust that technology.As a data company, we're thinking a lot about how do we ensure that our customers, our clients, and our partners trust that we're going to protect their data and use AI when appropriate and be certain that we have safeguards for when it isn't appropriate. And then I think the biggest area that my team is focused on with this trust gap is job security and what this means for the average worker.So what we're trying to do is really keep people at the center of this transformation. We're thinking a lot about employee resource groups. That way we've been able to reach all different types of team members. So how do we target our ERGs and think about who are the slow adapters? Who are the folks that typically get left behind, and how do we give them a little extra push?What we want to do is think about how to continue to have our team members trust their leaders, but also trust AI and where we're going, and get them to understand this isn't about replacing jobs. We are really focused on transforming jobs. That is a huge shift and a huge opportunity for us.<h2 id="c0d7e4c7-96a5-41d7-8c3f-29dee443e291">Shane Koller, senior vice president and chief people officer, Ancestry</h2><h3 id="2fb41060-9718-4c06-940a-5ac8246457b5">"The more people we get thinking about governance, the better AI technology will be used."</h3>There are a lot of different points of view on what AI will and will not do and how quickly.I was reading an article in The Wall Street Journal over the weekend that said for every one person who believes that AI is going to replace everyone's jobs, there are three or four who think there's going to be this boom in AI and then it's going to settle down. And that the promise we think AI is going to deliver will probably take longer than we think to come to fruition.One of the things that we've been doing at Ancestry very intentionally is bringing up the subject of governance, because I think we all think of AI as this steamroller that's going to come and either we're going to step aside from it or we're going to get steamrolled.The more people we get thinking about governance, the better AI technology will be used. And I say that within Ancestry as well as within companies in general and within governments. We have more of a role to play in how this rolls out than we think.We've been building AI into our product for over 10 years now, and we've been giving more thought to how would we govern the use of AI within our own company so that we're not, for example, putting our customers' data at risk. We're very conscious that security and privacy is first and foremost in every discussion. It's really about how you govern such an amazing technology.

Leaders from BCG, Infosys, AARP, and more predict how AI will transform top companies in the next 12 months

<ul><li>TCS and HCL Tech said that they have over a 100 <keyword id="17930214" type="General" weightage="20" keywordseo="genai" source="Orion">genAI</keyword> opportunities in the pipeline.</li><li>They also won a few projects, most of which are in the proof-of-concept or pilot stages.</li><li>Tech companies said they built large-scale genAI capabilities, and are ready to take on projects. </li></ul>Less than a year after ChatGPT was launched, Indian tech majors have started bagging generative AI projects. Even in times when demand is slow, discretionary spends are elusive, the new-age technology is bringing work as well as excitement into the IT outsourcing market. Although the size of the deals is small at the moment, genAI has ‘captured the imagination’ of clients, say top executives of Indian IT companies. TCS and HCL Tech said that most of their <keyword id="19151325" type="General" weightage="20" keywordseo="genai-projects" source="Orion">genAI projects</keyword> are proof-of-concept or pilot stages. “Deal sizes are small and are mostly under $1 million where clients are trying them out. But there is potential to convert a part of our Jaguar Land Rover with AI and ML capabilities,” said N Ganapathy Subramaniam, COO of TCS at the company’s Q2 earnings press conference. HCL Tech’s MD C Vijayakumar too shared that most of the genAI deals they are bagging are either half a million or sub-$1 million deals. But they are currently working on a hundred such opportunities. “We have been selected as a partner by this very large software major for their product testing and sustenance efforts. We are providing GenAI on a private language model to improve resolution rate and speed efficiency,” said Vijayakumar. Infosys CEO Salil Parekh also shared that they are working on some proprietary large language models (LLMs). “AI is a part of almost every deal we do. And, GenAI is getting there. As it expands and more and larger enterprises get into it, it will be very exciting,” he added. A catalog of AI opportunities A few months back, all tech majors announced big moves in the generative AI space. Wipro announced that it will spend as much as $1 billion over three years to build capabilities. TCS, HCL Tech partnered with software major NVIDIA to skill their employees. As of September end, TCS said that they have 100,000-strong GenAI-ready workforce. They said they also have as many as 250 Gen AI opportunities in the pipeline. “When we started generative AI, they were all about knowledge discovery. As clients understand more, the genAI is getting more complicated. We are now working for a co-pilot for a financial advisor on what advice to give clients, help underwriting policies,” explaining K Krithivasan, CEO of TCS. TCS said that it has identified opportunities across various verticals, identified use cases and cataloged them per vertical. With that it says that it’s planning to go and engage with clients and have conversations on the same. “With this, we can have conversations with our clients – be in CRM or payments space and wealth advisory and other use cases,” explained Ganapathy. HCL Tech too is working on use cases related to banking and financial sector. “We signed a generative AI deal with a to improve their risk and compliance efforts – which is a very big effort in financial services. There are a lot of transactions happening on this front, and we have discussed how we can help,” said Vijayakumar. The buzz for cost optimization and automation deals has gone up in the last few months. Clients are looking to ramp down their expenses and intend to use tech to help with their overall cost reduction efforts. As automation gains ground, AI and ML will find more use cases – and most tech companies are confident that a little of it can spill into the new and emerging area of GenAI as well.

Beyond just chats: Indian tech majors start bagging deals in GenAI space

<ul><li>IT major reports 2.3% sequential growth in its constant currency revenues.</li><li>Company’s net profit has grown by 4.5% sequentially to ₹6,212 crore.</li><li><keyword id="6354512" type="General" weightage="100" keywordseo="infosys" source="Orion">Infosys</keyword> reports highest large orders’ total contract value at $7.7 billion.</li></ul> IT major Infosys reported a 2.3% sequential growth in its constant currency revenues for the second quarter on Thursday. While it did beat street expectations of around 1% growth, the Bengaluru-based tech major also slashed the upper end of its constant currency revenue guidance for FY24. The company has also announced wage hikes which will be rolled out from November 1, 2023. The company’s dollar revenues sequentially grew 2.2% to $4,718 million in Q2 as compared to $4,617 million in Q1. It had earlier guided that its constant currency (CC) revenues for FY24 will grow at 1-3.5%. Half way through the fiscal year, it believes that it can grow anywhere between 1-2.5%. It has however retained its operating margin guidance 20-22% for the year. The net profit grew by 4.5% sequentially to ₹6,212 crore in Q2 from ₹5,945 crore in the last quarter. Its operating margin for the quarter increased by 40 basis points sequentially to 21.2%. “Our Q2 operating margin of 21.2% demonstrates the early benefits of the recently unveiled margin improvement plan and is a clear reflection of our ability to continuously identify opportunities for improving operational efficiencies,” said <keyword id="2984280" type="General" weightage="50" keywordseo="nilanjan-roy" source="Orion">Nilanjan Roy</keyword>, CFO. <table style="border-width: initial; border-style: none; table-layout: fixed; width: 468pt;" class="redcator-table-advance"></colgroup><tbody><tr><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">Particulars </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">Q2FY24 </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">Q1FY24 </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">%change </td></tr><tr><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">Dollar revenues </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">$4,718 million </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">$4,617 million </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">2.2% </td></tr><tr><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">Net Profit </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">₹6,212 crore </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">₹5,945 crore </td><td style="border-left:solid #000000 1pt;border-right:solid #000000 1pt;border-bottom:solid #000000 1pt;border-top:solid #000000 1pt;vertical-align:top;padding:5pt 5pt 5pt 5pt;overflow:hidden;overflow-wrap:break-word;">4.5% </td></tr></tbody><tbody></tbody><tbody></tbody></table> Comment on earnings by Prashanth Tapse of Mehta Equities said, “Infosys Q2 earnings are in line with markets expectation but the company trimming its revenue guidance would be negative for the stock. Overall results are not so bad but discounted in prices. FY24 guidance - revised downwards would put pressure on prices to sustain while it has maintained margins." He added that technically the last minute fall in prices shows that results were not in favour of bulls and hence a gap down opening between ₹1,400-1,420 could be seen in the opening trade. Large deal wins The company is also sitting on a robust orderbook of large deals. Its large orders’ total contract value (TCV) of large deals at $7.7 billion. “We had our highest large deals value at $7.7 billion in Q2 spread across all verticals and geographies. This, in an uncertain macro-environment, is a testament to our ability to pivot and stay relevant to the evolving client needs, by delivering the benefits of transformation as well as productivity and cost savings at scale”, said <keyword id="328377" type="General" weightage="50" keywordseo="salil-parekh" source="Orion">Salil Parekh</keyword>, CEO and MD. Like its peer TCS, Infosys also reported a drop in attrition to 14.6%. “Strong H1 performance with significant large deal wins, builds a solid foundation for the future. The growing adoption of our Generative AI offering, Topaz, is helping us deliver consistent value and expand market share”, Parekh added.

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