Excel Services is debuting in Cannes Lions, although the company has been around 26 years. The Global Analytics and Digital Solutions firm uses artificial intelligence and data to help clients from industries from insurance, media and healthcare media to banking, financial services and retail sales, reimaginate their business models to speed up growth.
The executive vice -president, Narasimha Kini, who directs the banking and capital markets of EXL and the units of the diversified industry market, spoke on the cares of the growing importance of the AI and how his company helps clients sailing the uncertain economic landscape.
Q: What is exl mission?
Narasimha Kini: EXL undertakes to promote businesses with data and IA. We believe that there is always a better way. We look more deeply, we find it and we do it. Integrating data and with our deep experience in the industry, EXL allows companies in various sectors, such as insurance, banking and finance, health care, retail, media, entertainment and infrastructure to transform work flows and grow their businesses.
Q: How has the company evolved since it was founded in 1999 and what has propelled its growth?
#: We started as a business process operation company, so we always focused on understanding the details of our clients’ operational workflows and finding ways to improve them. EXL was unique when the AI supercicle began a couple of years ago. Our goal has always been to help our clients incorporate data and in their operational workflows, and the growth of AI really had this strength.
Q: What solutions do you provide for customers?
#: EXL provides a wide range of data, analytics, IAs and operations management solutions to help clients streamline complex work flows, automate manuals, labor intensive processes and improve customer experience.
Q: How do you use exl and data management to help customers?
#: The key to our business and the reason we have positioned ourselves so well to take advantage of the growth of the IA is that we focus on helping large organizations (insurance companies, banks, retail sales and media companies) improving their work flows. We analyze all steps in a complex process, such as insurance subscription or investment management customer experience and find ways to improve each step in the process integrating disparate data sets, which appear important views and automated redundant processes. This is our goal with the IA, embedding it in these flows of work to improve each step of the process.
Q: Can you provide an example of success story?
#: We work with almost all the great sports leagues. The sports industry is adopting digital transformation with a focus on the participation of the fans, the monetization of data and the well -being of the athlete.
To raise the experiences of the fans, we launched a solution driven by AI that unifies the data of fan, the segments of audiences and offers a personalized commitment. Taking advantage of travel analytics rooms and clean data rooms.
For our customers.
In the field, our solution improves the care of the athlete by detecting early risk of 15% reduction in injury rates and an improvement in emergency preparation and performance.
Q: What types of cost savings can you expect brands to work with exl?
#: In our own original research, we have found that many companies are redefining their customer service with a product and a pricing focus. Generally, North -Americans reported 21% income and 20% costs reduction through AI, but they reached priorities more often. More than half say that AI has redefined the customer experience, supported new products and services and accelerated real -time data.
Q: How do you use exl and data management to help customers?
#: EXL uses IA and data management to help customers unlock business value by improving decision -making, automating processes, improving customer experiences and promoting operational efficiency. We combine deep experience in domains with advanced analysis, IA and ownership platforms to help organizations transform functioning and competition.
Q: You have collaborations with some of the largest companies, including the NVIDIA chip maker. How do you work with them?
#: We have recently developed an ex -owner insurance model (LLM), taking advantage of Nvidia Ai Enterprise. It was the first specific LLM in the industry created to support critical claims and subscription -related tasks, such as reclaiming reclaiming, data extraction and interpretation, answering questions, the detection of anomalies and the summary of chronology.
The former Insurance LLM was developed to meet the highly specialized needs of the insurance industry, which has struggled to take advantage of the shelf, General LLMS that has no private insurance data adjustment and the specific understanding of the domain of business process operations.
Generic LLM also does not manage to address the nuanced challenges facing insurance companies during claiming claims, causing inefficiencies, high compensation costs, claims, longer settlement deadlines and increased risk risks. When focusing exclusively on insurance tasks, EXL has incorporated its deep knowledge of the highly tailor-made insurance and property data to create the most accurate LLM in the industry.
EXL customized the LLM through the Punta to Punta Nvidia Nemo platform, part of the Nvidia Ai Enterprise software platform, for training, personalization and deployment and to manage the tasks and summaries of questions and answers.
Q: Do Trump’s rates affect your customers? If so, how? How do you help them navigate?
#: Global commercial dynamics have changed significantly with the increase in sudden tariffs and unpredictable changes in trade policy. For supply chain leaders, these changes create an undulating effect: obtained costs, operational interruptions and risk increase. It combines -with delayed driving times and desalined inventory levels and the challenge is clear.
The solutions driven by the AI of the exL are empowering the leaders of the management of the supply chain to overcome these complexities. From the forecast of demand to the optimization of supply, here is how the AI can create resistant and efficient supply chains in the face of the challenges related to the rates.
Q: How exactly does this work?
NK: AI’s ability to analyze complex data sets, predict scenarios and recommend current strategies that make it indispensable for supply chain resilience. One of the most new AI solutions is a supply chain optimization solution than CPG [consumer packaged goods] Companies are using to quickly identify their exposure to the line line line at the rates, predict cost impacts and optimize their supply chains as tariff news changes to the minute.
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