Latest news with #Capgemini
Entrepreneur
4 hours ago
- Business
- Entrepreneur
Agentic AI Integration to Accelerate this Year Among Gen AI Early Adopters: Capgemini Report
79 per cent of the surveyed Indian executives revealed that their investment in GenAI has increased compared to last year, as compared to 62 per cent of the global executives. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. Artificial Intelligence (AI) is now driving positive returns on investment (ROI), with the average being nearly a 1.7 times return, according to a Capgemini Research Institute report titled 'AI in action: How Gen AI and agentic AI redefine business operations'. Among the early adopter organizations that have implemented generative AI (GenAI), around 30 per cent have already integrated AI agents into their business operations. Agentic AI projects are expected to rise by 48 per cent by the end of 2025. The research also finds that one in five organizations already use AI agents or multi-agent systems, with GenAI and agentic AI already delivering significant cost savings and operational efficiencies in business functions. With businesses planning investments in AI infrastructure, some organizations had expressed concerns about achieving ROI from their large-scale AI and Gen AI rollouts. However, the report finds that these initial concerns are fading fast, as enterprises are now seeing substantial returns, with those surveyed achieving a 1.7 times ROI from their Gen AI and AI investments. As a result, enterprises are increasing their Gen AI investments, with 62 per cent of those surveyed growing their investment in Gen AI this year as compared to last year. "Gen AI and agentic AI can truly transform business services – enabling the shift from traditional cost-focused models towards an AI-enabled, value and insight driven business. Those that adopt an integrated approach with data and AI at its core will be set to achieve a truly connected, frictionless enterprise," said Oliver Pfeil, CEO of Business Services at Capgemini and Member of the Group Executive Committee. "While the research suggests increased adoption of AI agents, organizations still face numerous barriers to implementation at scale. Adopting a pragmatic approach, fostering trust in AI, and creating a strong data foundation will go a long way in transforming business services into a strategic powerhouse to fuel any enterprise." The India Context In the Indian context, 79 per cent of the surveyed Indian executives revealed that their investment in GenAI has increased compared to last year, as compared to 62 per cent of the global executives. 49 per cent of surveyed India executives informed that the increase in Gen AI investment is from both reallocation of budgets from other existing budgets and additional budgets, as compared to 32 per cent global executives. 58 per cent of the overall workforce will work with AI agents or agentic AI systems by 2027-28. The surveyed Indian respondents also revealed that 25 per cent of the overall workforce is already working on AI agents/agentic AI systems. 36 per cent of surveyed Indian executives informed that they are planning to implement AI and Gen AI model, primarily through proprietary models from hyperscalers (e.g., Microsoft Copilot, Google Gemini). At the same time, 33 per cent of surveyed Indian executives informed that they are planning to implement AI and Gen AI models, primarily through proprietary models from niche model developers (e.g., OpenAI GPT-4, Anthropic Claude etc.). 39 per cent of surveyed Indian executives revealed that their leadership is a strong advocate of GenAI. Only 19 per cent of the surveyed Indian executives revealed that their leadership is taking a "wait-and-watch" approach to GenAI, indicating a higher tilt towards those advocating for the technology.
Yahoo
20 hours ago
- Business
- Yahoo
Americans have a new ‘retire comfortably' number for 2025 — but here's why 97% of them miss it completely
According to the 2025 Northwestern Mutual Planning & Progress study, the average American now believes they need $1.26 million to retire. That's $200,000 less than they said they needed last year and nearly the same as the figure quoted in 2022. The fact that the target hasn't moved much in the last three years hasn't made it more accessible, however. The vast majority of U.S. adults are still falling short of this benchmark and are hurtling towards a difficult and uncomfortable retirement. Here's why, and what you can do to help yourself reach that figure. Thanks to Jeff Bezos, you can now become a landlord for as little as $100 — and no, you don't have to deal with tenants or fix freezers. Here's how I'm 49 years old and have nothing saved for retirement — what should I do? Don't panic. Here are 6 of the easiest ways you can catch up (and fast) Nervous about the stock market in 2025? Find out how you can access this $1B private real estate fund (with as little as $10) Although most Americans agree that they need to enter the seven-figure club to retire comfortably, only a small fraction of the population has actually achieved this target. As of 2024, the U.S. was home to 7.9 million millionaires, according to Capgemini Research. That's roughly 3% of the country's total adult population, which means that 97% of Americans haven't yet reached millionaire status. And keep in mind: that figure includes people of all ages and wealth levels, not just those nearing retirement. Several factors contribute to this shortfall. While some Americans may not prioritize retirement savings, many face barriers that make it difficult to set aside money, including rising housing costs, student loan debt and inflation. Even those who are diligently saving can find it challenging to keep up with the growing cost of a comfortable retirement. Although 97% of people aren't millionaires, many could meet that target eventually if they start investing at a young enough age. A 20-year old, for instance, needs to invest just $330 a month into an asset class that delivers a steady 7% annual return to reach $1.26 million by the time they turn 65. Having the luxury of time significantly boosts your chances of becoming a millionaire. This doesn't mean it's too late for middle-aged savers, but it takes a significantly greater investment. If a 50-year-old hasn't started saving for retirement, they'd need to invest $3,958 a month at a steady 7% return to reach $1.26 million by retirement. Read more: Want an extra $1,300,000 when you retire? Dave Ramsey says — and that 'anyone' can do it Saving $1.26 million doesn't guarantee a comfortable retirement for everyone. For example, if your net worth is $1 million but your annual living expenses are $200,000 or $300,000, you need much more than $1 million in savings to continue living the same lifestyle in retirement. In fact, two thirds of millionaires don't consider themselves 'wealthy' and half of them say their financial planning needs improvement, according to another study by Northwestern Mutual. In short, being a millionaire doesn't mean you're ready for retirement. If you live in a state or another country with a lower cost of living, your target might be smaller. According to Empower's calculations of tax burdens and costs of living, states like Alaska and New Hampshire might be ideal for retirees looking to minimize their expenses. Try using a retirement calculator or consulting a financial planner to determine your personal target. With enough time and meticulous planning, you can be on track for almost any type of retirement you might want. Rich, young Americans are ditching the stormy stock market — here are the alternative assets they're banking on instead Robert Kiyosaki warns of a 'Greater Depression' coming to the US — with millions of Americans going poor. But he says these 2 'easy-money' assets will bring in 'great wealth'. How to get in now This tiny hot Costco item has skyrocketed 74% in price in under 2 years — but now the retail giant is restricting purchases. Here's how to buy the coveted asset in bulk Here are 5 'must have' items that Americans (almost) always overpay for — and very quickly regret. How many are hurting you? Like what you read? Join 200,000+ readers and get the best of Moneywise straight to your inbox every week. This article provides information only and should not be construed as advice. It is provided without warranty of any kind.
Yahoo
2 days ago
- Business
- Yahoo
Agentic AI integration set to accelerate this year among Gen AI early adopters
Press contact: Antara NandyTel.: +91 9674515119 Email: Agentic AI integration set to accelerate this year among Gen AI early adopters Two in five organizations expect to achieve positive return on their AI investments in 1-3 years By embedding a targeted set of AI capabilities into core business processes such as procurement, customer service, supply chain optimization, and finance operations, organizations are already achieving significant cost efficiencies Paris, June 18, 2025 – A Capgemini Research Institute report published today, finds that AI is now driving positive returns on investment (ROI), with the average being nearly a 1.7 times return. The report highlights that this has now laid the groundwork for widespread agentic AI implementation. Among those early adopter organizations that have implemented generative AI (Gen AI), around 30% have already integrated AI agents into their business operations. Agentic AI projects are expected to rise by 48% by the end of 2025. The research also finds that one in five organizations already use AI agents or multi-agent systems, with Gen AI and agentic AI already delivering significant cost savings and operational efficiencies in business functions. With businesses planning investments in AI infrastructure, some organizations had expressed concerns about achieving ROI from their large-scale AI and Gen AI rollouts. However, the report finds that these initial concerns are fading fast, as enterprises are now seeing substantial returns, with those surveyed achieving a 1.7 times ROI from their Gen AI and AI investments. As a result, enterprises are increasing their Gen AI investments, with 62% of those surveyed growing their investment in Gen AI this year as compared to last year. 'Gen AI and agentic AI can truly transform business services – enabling the shift from traditional cost-focused models towards an AI-enabled, value and insight driven business. Those that adopt an integrated approach with data and AI at its core will be set to achieve a truly connected, frictionless enterprise,' said Oliver Pfeil, CEO of Business Services at Capgemini and Member of the Group Executive Committee. 'While the research suggests increased adoption of AI agents, organizations still face numerous barriers to implementation at scale. Adopting a pragmatic approach, fostering trust in AI, and creating a strong data foundation will go a long way in transforming business services into a strategic powerhouse to fuel any enterprise.' Gen AI adoption has laid the groundwork for agentic AI implementationGen AI is expected to drive improvements in key metrics such as insight accuracy, productivity, time to market, and customer and employee experience over the next three years. As a result, more businesses are seeing the value of Gen AI, with 36% of organizations already implementing it, up from 20% last year. Among those that have adopted Gen AI at a limited or full scale, around 30% have integrated AI agents into their operations. The total number of AI agent projects in an average organization are expected to grow 48% in 2025. According to the report, AI agents are already delivering significant benefits across business functions, with agents and multi-agent systems reducing errors, improving customer satisfaction levels, increasing operational efficiency, and reducing operational costs. The top five industries adopting AI agents are high tech, industrial manufacturing, consumer products, energy & utilities, and pharma & healthcare. Strong leadership and workforce transformation are key to faster returnsTo achieve strong ROI on Gen AI investments, organizations should focus on developing strong leadership, governance, and AI readiness. According to the report, organizations who establish this foundation achieve ROI 45% faster. However, most enterprises currently lack this strong leadership, with only one in three leaders being a strong advocate of Gen AI. In addition, organizations must also transform their workforce to derive business value cites the report. In the past two years, enterprises that introduced automation and AI-based use cases have been able to automate 30% of operational tasks, and expect to automate further in the next two years. As responsibilities evolve, organizational upskilling, reskilling, training and job role transitions will feature highly, with almost two-thirds of employees expecting to see their job descriptions altered by 2028. According to the report, employee interaction with AI agents is expected to increase by 2028, so training and upskilling will be needed to prepare workforces for effective human-AI collaboration. Report MethodologyThe Capgemini Research Institute conducted a survey of 1,607 executives from organizations with at least $1 billion in global revenue in the last financial year, who are responsible and accountable for one or more AI and gen AI initiatives in business operations. Executives were from supply chain & procurement, finance & accounting, people operations, customer operations, AI leadership and strategy, AI application development and maintenance, AI ethics, regulations, and compliance functions. The executives were from 15 countries across multiple regions and spanning 13 industries. The Institute also interviewed 15 senior executives leading business operations and AI implementation at their respective organizations from across sectors and countries. About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want | About the Capgemini Research InstituteThe Capgemini Research Institute is Capgemini's in-house think-tank on all things digital. The Institute publishes research on the impact of digital technologies on large traditional businesses. The team draws on the worldwide network of Capgemini experts and works closely with academic and technology partners. The Institute has dedicated research centers in India, Singapore, the United Kingdom and the United States. It was ranked #1 in the world for the quality of its research by independent analysts for six consecutive times - an industry first. Visit us at Attachments 06_18_Capgemini news alert_AI in Business Operations CRI report Final-Infographic-AI-in-Business-Operations
Business Standard
3 days ago
- Business
- Business Standard
JECRC University Unveils a New Template for Inclusive Campus Hiring with 35% Female Placements in 2025
In a striking development that reflects evolving hiring practices and the rising aspirations of women in higher education, JECRC University has announced that 35% of all job offers during its 2025 placement cycle were secured by female students. The university, which has consistently positioned itself as an innovation-driven institution, continues to challenge conventional gender dynamics in campus hiring. The 2025 recruitment cycle at JECRC witnessed 2,230+ students placed across 13 schools and 161 programs, with 876 students receiving offers of ₹7 lakh per annum or more. The highest annual package offered this year reached ₹33 LPA, making it the university's most competitive placement season to date. While the overall placement numbers are commendable, it is the gender data that stands out. At a time when many institutions continue to grapple with gender disparity in STEM placements, JECRC's 35% female hiring rate reflects a conscious, systemic shift in both institutional training and corporate preference. Strategic Focus on Employability Yields Results According to JECRC officials, the robust placement outcomes - particularly for women - stem from the university's long-standing focus on skill enhancement, corporate alignment, and personalized training modules. JECRC's Campus Recruitment Training (CRT) initiative is a comprehensive, 300+ hour program that sharpens students' competencies in quantitative aptitude, logical reasoning, coding, soft skills, and professional communication. Conducted in partnership with platforms such as PrepInsta, CoCubes, HackerRank, AMCAT, and TCS iON, CRT ensures students are not just eligible, but employable. 'The future of hiring is skills-first, and that's where we've invested consistently,' said a senior member of JECRC's training and placement cell. 'We don't differentiate in ambition or training based on gender - and that's beginning to reflect in our outcomes.' Cross-Disciplinary Success and Corporate Trust JECRC's female students received offers across technical and non-technical streams. While firms like TCS, Capgemini, LTI Mindtree, and Accenture recruited heavily from engineering backgrounds, several roles were also offered in domains like operations, consulting, and financial services. Notably, 125 offers from Accenture and TCS were made in non-tech programs such as BBA, BCA, and This broad hiring base has been made possible due to targeted industry partnerships that provide students with real-time exposure to tools, platforms, and corporate workflows. More than 450 students each year undergo project-based training with ServiceNow, and AWS-certified cloud computing courses are now embedded in computer science-related programs. Corporate collaborations with Google Cloud, Capgemini, MG Motors, and HPE CTY also bring internship and workshop opportunities to campus, helping students graduate with not just a degree but practical, résumé-worthy experience. National Recognition and Institutional Growth In recognition of its evolving placement ecosystem and commitment to bridging academia-industry gaps, JECRC was featured at multiple national platforms in 2025: HR Success Talk (New Delhi) – Honored for excellence in corporate hiring alignment International Business Conference (Bengaluru) – Cited for graduate readiness and institutional best practices SHRM TECH 2.0 (Mumbai) – Applauded for integrating AI into training and assessments Such recognition has strengthened JECRC's standing among top-tier institutions preparing students for India's rapidly transforming job market. A Template for Inclusive Hiring in Higher Education While the numbers are promising, experts believe that JECRC's 35% women placement figure could serve as a benchmark for similar institutions aiming to improve gender diversity. According to market observers, this is not only an academic milestone but a signal to corporate India that the next generation of female talent is coming from Tier-2 and Tier-3 cities, ready and qualified. 'JECRC's placement strategy has proved that when infrastructure, mentorship, and opportunity align - diversity follows naturally,' noted an HR analyst associated with a leading consulting firm. 'This isn't just about women getting jobs; it's about women emerging as the future workforce leaders.' Looking Forward JECRC has placed over 12,000 students in the last five years, and its current trajectory suggests increasing integration between academia and enterprise. With a growing emphasis on AI, cloud, cybersecurity, digital business, and entrepreneurship, the university is aligning its curriculum with what top employers now seek - diversity, agility, and innovation. As companies double down on inclusive hiring and future-ready skill sets, institutions like JECRC University are not just producing graduates - they are shaping the workforce of tomorrow.
Forbes
13-06-2025
- Business
- Forbes
The Digital Revolution: Unlocking The Power Of Data In Life Sciences
Rajnish Nath, President of Manufacturing, Automotive, Aerospace & Defense, and Life Sciences at Capgemini Americas. The future of healthcare is here—and it's digital. From accelerating research to improving patient care, the integration of AI, data analytics and cutting-edge technologies is driving the industry into a new era where disruption is the norm. However, while digital transformation has the potential to unlock unprecedented value, it's not simply a matter of upgrading technology. It requires a fundamental shift in mindset, with a strong focus on establishing a solid data foundation to drive meaningful progress in a world that is increasingly driven by automation, prediction, and personalization. Data is the cornerstone of today's digital landscape, as it fuels these AI-enabled technologies to learn, adapt and deliver reliable results. As AI becomes more sophisticated, its effectiveness depends entirely on the quality and integrity of the data it's built on. Without strong data, even the most well-designed strategies and initiatives are built on unstable ground. Throughout my 28-year tenure with Capgemini, I've served clients across all sectors and functions. A solid foundation of good data is particularly relevant in the life sciences industry, where advanced technology is bringing us into a new era of R&D and patient care. Our ability to understand how we leverage the power of data has never been more critical to achieving life-changing impact. The life sciences industry generates vast amounts of data, but collecting it alone isn't enough. The real value lies in transforming raw data into actionable insights that drive improvements across the entire value chain—from enhancing patient outcomes to streamlining business operations. Yet, only 37% of life sciences organizations have standardized frameworks and tools in place to effectively collect, analyze and manage the full spectrum of data, including patient records, real-world outcomes and clinical trial results. As the role of data in driving innovation becomes more apparent, many organizations are turning to strategic partnerships to streamline data management and deliver measurable business results. This shift comes at a time when the global life sciences analytics market is projected to nearly double—from $13.78 billion in 2025 to $27.75 billion in 2032—reflecting the growing demand for data-driven solutions. And while life sciences leads the charge, the value of quality data management is gaining importance across all industries, becoming the basis of digital transformation and a key factor in maintaining competitive advantage. Partnerships that bring together functional innovation and precise data integration have the power to be truly transformative. This combination lays the groundwork for scalable, future-ready solutions designed to meet the evolving demands of a digital-first world. After all, it's a saying we know well: Not all data is good data. In an age where information is everywhere, success depends not just on access but on the quality, accuracy and usability of the data at hand. At this stage of mainstream digital transformation, quality data and advanced technologies like AI, machine learning and robotics are deeply interconnected—you simply can't have one without the other. The push to integrate advanced technologies, particularly within software-driven solutions, is motivated by the need to improve R&D efficiency, enhance market intelligence, streamline operations and deliver more personalized, effective patient care. Despite the momentum, and with the global AI market in life sciences projected to reach $14.20 billion by 2034, many organizations still face considerable hurdles. Challenges related to strategy, governance, funding, talent, technology integration, data management and regulatory compliance often slow or complicate progress. In particular, the growing reliance on big data in drug discovery, development and clinical trials is forcing companies to reevaluate their capabilities. Because of these challenges and the growing importance of data management and advanced technologies, here are several best practices that organizations can implement to successfully navigate this evolving landscape. • Data-First Approach: Start AI initiatives by focusing on data quality and readiness to prevent cost overruns and delays and ensure AI readiness. Prioritizing data aligns transformation with business goals. • Leverage Expertise: Utilize proven expertise and methodologies to handle complex data challenges. This includes employing a repeatable data migration approach that minimizes the risk of unsuccessful implementations and ensures high-quality data that aligns with business goals. • Service Excellence: Engage in long-term guidance and services that extend beyond a project's onset. This includes consulting expertise, oversight, on-demand support and deep technical expertise to drive real business value continuously. • Data Competency: Build the practice around the solutions to ensure the data initiatives are aligned with business goals, deliver measurable ROI and meet key performance indicators. • Customer-Centric Focus: Prioritize the client's end-customer success by delivering exceptional value and aligning data outcomes with business outcomes. This approach minimizes risks and drives higher-value outcomes. In today's increasingly digital landscape, validated processes are no longer optional—they're essential in a highly regulated environment where certified systems ensure compliance and data integrity. Regulations such as medical device reporting (MDR) in the EU and unique device identification (UDI) in the U.S. have intensified the demand for accurate data collection and reporting, particularly as they relate to patient safety. At the same time, technological advancements are pushing organizations to continuously evolve their data models and adopt new systems to stay competitive. True effectiveness now lies in bridging regulatory compliance with business acumen, empowering organizations to make informed, scalable decisions backed by reliable data. Looking ahead, data management practices must become more intentional. Where companies once stored every piece of data indefinitely, there's now a clear need to purge outdated or irrelevant information. Retaining only business-critical data helps minimize risk, enhance accuracy and build cleaner, more actionable datasets. As digital transformation continues to reshape the life sciences industry, the ability to leverage quality data alongside advanced technologies will be the key to success. Organizations that build solid data foundations and integrate AI and machine learning effectively can drive faster innovation and better patient outcomes. With the right strategic approach, the future of healthcare is one where data is the driving force behind breakthrough treatments and operational excellence. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
