Ravi Kumar S
Chief Executive Officer at Cognizant Technology Solutions
Thank you, Tyler, and good afternoon, everyone. Thank you for joining our first quarter 2024 earnings call. I'm pleased to report that during the quarter, we continued to make progress against the strategic priorities I laid out last year, while navigating a challenging demand environment. We delivered revenue growth that exceeded the high end of our guidance range and expanded our adjusted operating margin year-over-year. Voluntary attrition improved again, and we ended Q1 with trailing 12-month voluntary attrition for our Technology Services business at 13.1%, representing a decline of 10 percentage points year-over-year. And our NextGen program remains on track as we continue to focus on simplification and operational excellence.
As we have all seen in recent earnings results for our peer companies and economic headlines, the demand environment remains uncertain and geopolitical risks continue. These dynamics are shifting near-term client spending priorities from discretionary projects towards projects that will drive near-term cost savings and fund innovation for the future. Now moving on to Q1 highlights. We delivered revenue of $4.8 billion, which was sequentially flat and represented a decline of 1% year-over-year, both as reported and in constant currency. We expanded our adjusted operating margin by 50 basis points to 15.1% as we continue to execute our cost optimization strategy and take out structural costs.
First year -- first quarter bookings on a trailing 12-month basis were $25.9 billion, an increase of 1% year-over-year. While there is good sustained traction with our large deals, we saw softness in smaller deals in the range of 0 million to 10 million total contract value, reflecting the tight discretionary environment. Our strong deal momentum in the quarter was evidenced by the fact we signed eight deals each with TCV of $100 million or more compared to only four in the prior year period. We've also seen early green shoots in our efforts to diversify our large deals outside of North America. And in quarter one, two of the eight greater than $100 million contracts we signed with in the APJ region. On a trailing 12-month basis, our book-to-bill ratio of 1.3x remains strong, which we believe provides a healthy backlog of opportunities to improve revenue performance over the next several quarters.
We continue to grow our pipeline for larger deals and make progress against our goal of increasing the value of large deals in our bookings. From a segment perspective, demand trends were consistent with what we have seen in recent quarters. We saw sequential growth in Health Sciences and Communications, Media and Technology offset by declines in Financial Services and Products & Resources. While financial services has been impacted more meaningfully than other segments by weaker discretionary spending, we did see sequential growth among our banking and financial services clients, which represents about 60% of our Financial Services segment and are encouraged by the opportunities we are seeing in the overall pipeline, particularly within our intuitive operations and automation practice area.
We see several themes that we believe are helping drive demand for our services. This includes clients' continued investments in developing a modern technology infrastructure related to AI, cloud and digital technologies, data engineering, prioritization of hyper personalization and customer experience projects and the need to deliver innovation. One example of infrastructure modernization this quarter was an agreement we signed with a new client, McCormick & Company, a global leader in flavor. Over the next five years, we will help transform and manages global technology infrastructure, leveraging AI automated tools to enhance McCormick's employee and customer experience while improving productivity and driving financial savings for our clients.
Another example of monetization hyper-personalization is our recently announced new strategic alliance with Shopify and Google Cloud. Under this alliance, we will help drive digital transformation and platform modernization, enabling global retailers and brands to unlock business value from generative AI. We believe today's retailers must drive a modernization agenda while investing in innovation to elevate their end users and customers experiences. Earlier this week, we signed a strategic agreement with Telstra, Australia's leading telecom and technology company to elevate their software engineering capabilities and enhance their customers' experience. We believe this is a key strategic win in our APJ market.
And we will leverage our AI tools to drive innovation, enable more efficient software engineering and ID operations and decommission legacy systems to improve operational efficiency and support their employee experience by building them a superior engineering experience. And as a fourth example, we extended our long-standing relationship with CNO Financial Group during the quarter. Under this expanded agreement, we will implement cloud and digital technologies to help CNO, deliver more personalized digital and convenient solutions to the customers. We'll also leverage gen AI technologies to help drive efficiencies across infrastructure, applications, enterprise software and engineering services.
Our clients' desire and need to drive innovation is apparent in all our client interactions, but funding for that innovation is being impacted by demand uncertainties in our clients' own end markets. The timing of a return in discretionary spending remains unknown, but our thesis remains simple. We plan to be prepared when it returns. But continuing our organic investments in learning and development, people, platforms and innovation while supporting those initiatives with inorganic capability enhancing investments. On the client side, data from our project level client feedback process for the first quarter of this year, shows a 39% improvement in our Net Promoter Score regarding our project delivery quality over the last two years.
We believe this is a result of a self-reinforcing cycle we created through tighter client collaboration since the beginning of 2023. As a testaments to our longtime focus on helping clients innovate, during the quarter, Fortune Magazine recognized Cognizant as one of the America's most innovative companies in 2024. Our focus on innovation is reflected in our Blue Bolt grassroots innovation initiative, which we launched a year ago in April. Blue Bolt has already generated more than 130,000 ideas from our associates, 23,000 of which have been implemented with clients. Overall, more than 220,000 Cognizant associates have been trained on Blue Bolt. In addition, Google named Cognizant at Google Cloud 2024 Breakthrough Partner of the Year. This is one of our industry's most distinguished awards. I will elaborate more on Google Cloud in a moment.
And just this month, LinkedIn recognized Cognizant as a number three on its top company's 2024 employer list in India, which is home to more than 250,000 of our valued associates. This repeat recognition is a reminder that our focus on becoming the employer of choice is paying off in the country that is at the heart of Cognizant's success India. These client wins and industry recognitions demonstrate one of our core differentiators, our collaborative innovation. And nowhere else is the demand for innovation higher than in gen AI. To date, we have more than 450 early client engagements in more than 500 additional opportunities in the pipeline. We have seen increased demand for AI services across four key areas. First, customer and employee experience as clients seek to deliver improved interactions through hyper-personalization.
Second, content summarization and insights to empower decision-making; third, content generation; and finally, leveraging gen AI to accelerate innovation and technology development cycles. We continue to see strong interest from clients as they assess proofs of concept and the return on investment of these opportunities. These efforts are supported by our recently launched advanced artificial intelligence lab in San Francisco, where we are investing in state-of-the-art core AI research aimed to position us at the forefront of innovation in our industry. This builds upon our network of AI innovation studios in London, New York, San Francisco, Dallas and Bangaluru. Incidentally, our advanced artificial intelligence lab has already produced 53 AI patents with applications for many more pending. This quarter alone, we had seven new AI patents approved and granted to us.
In quarter one, we announced a series of new partnerships and co-innovations behind this strategy we announced last year to invest $1 billion in generative AI over three years. This includes our collaboration with Microsoft to infuse Gen AI into healthcare administration. The TriZetto assistant on our Facets platform will leverage Azure open AI service and Symantec canal to provide access to Gen AI within the TriZetto user interface. We are already progressing from proof of concept to the piloting phase and are seeing strong interest from some of our largest healthcare customers. And last week, we announced another element of our expanded partnership with Microsoft. We plan to leverage Microsoft CoPilot and Cognizant's advisory and digital transformation services to help our employees and enterprise customers operationalize generative AI and realize strategic business transformation benefits from this technology.
In addition, as a part of Cognizant Synapse skilling program, Cognizant will train 25,000 developers of the use of GitHub Copilot, doubling the number trained on the technology. We are also collaborating with NVIDIA to leverage our deep life sciences and AI domain expertise with NVIDIA's pre-trend industry-specific general AI models offered as a part of BioNeMo. There -- through this collaboration, we will provide clients access to a suite of model making services, including pre-trained models, cutting-edge frameworks and application programming interfaces. That offer clients an accelerated path to train and customized enterprise models using the proprietary data.
By leveraging gen AI infused models, clinical researchers can rapidly sift through extensive data sets, more accurately predict interactions between drug compounds and create a new viable drug development pathways. We also expanded our partnership with Google Cloud will adopt Gemini for Google Cloud in two ways: first, by training Cognizant associates to use Gemini for software development assistance; and second, by integrating Gemini's advanced capabilities within Cognizant's internal operations and platforms. Using Gemini for Google Cloud, Cognizant's developers will be equipped to write, test and deploy code faster and more effectively with the help of AI powered tools, improving the reliability and cost efficiency of building and managing client applications.
Over the next 12 months, Cognizant expects to upskill more than 70,000 cross-functional associates on Google Cloud's AI offerings. This is another milestone in our Synapse initiative to upscale 1 million individuals globally by 2026. Additionally, Cognizant will work to integrate Gemini into its suite of automated platforms and accelerators beginning with the recently announced Cognizant Flowsource platform for developers. As a part of our social responsibility platform, we recently announced that since 2018, we have awarded $70 million in philanthropic funds to global skilling programs for underrepresented communities. These 117 grants combined Cognizant's culture of continuous scaling our focus on prioritization of empowering diversity through technology and the philosophy that AI and other advanced technologies can be a great equalizer for the future of work.
We intend to continue following and participating in the AI innovation cycles by investing in last mile platform infrastructure productivity studies and capabilities to enable better and faster integration into enterprise landscapes. In the last 12 months, our AI platforms gained significant traction as we onboarded clients on the Neuro Skygrade and Flowsource platforms to cover various phases of AI deployment cycles, by investing in productivity studies, which dissect the anatomy of skills and occupations and map the AI exposure goes to different roles, we have assisted our clients in realizing value and driving the scaled embrace of newer AI use cases. As we continue to navigate this ongoing soft demand environment, we remain focused on investing in areas to help our clients reduce total cost of ownership, boost productivity, enhanced technology intensity and enable better adoption of new age technologies like AI to capture the current demand and be prepared for the future.
And we remain differentiated by investing in industry remain capabilities and platforms in select industries. We also believe inorganic opportunities remain an important element of our investment strategy. We continue to seek to expand and deepen capabilities, diversify our business, including into industries where we are underexposed and improve our geographic mix. For example, we are pleased with the early traction of our Q1 acquisition of Thirdera and industry-leading ServiceNow platform, which has significantly expanded our capabilities and credentials. We already see a healthy pipeline of opportunities as direct result of this acquisition to cross-sell within our existing client base.
In closing, I want to thank our 345,000 employees around the world for their dedication to our clients and Cognizant. In 2024, we will keep working to increase our revenue growth, become the employer of choice in our industry and to simplify our operations. Jatin, over to you.