Company: WNS, Mumbai, India
Nomination Submitted by: WNS North America Inc.
Company Description: WNS delivers an entire spectrum of BPM solutions including industry-specific offerings, customer experience services, finance and accounting, human resources, procurement, and research and analytics to re-imagine the digital future of businesses.
Nomination Category: Company / Organization Categories
Nomination Sub Category: Innovation of the Year - Business Service Industries
 Nomination Title: WNS Analytics adoption of Gen AI
- Which will you submit for your nomination in this category, a video of up to five (5) minutes in length about the achievements of the nominated organization since 1 January 2022, OR written answers to the questions for this category? (Choose one):
Written answers to the questions
- If you are submitting a video of up to five (5) minutes in length, provide the URL of the nominated video here, OR attach it to your entry via the "Add Attachments, Videos, or Links to This Entry" link above, through which you may also upload a copy of your video.
- If you are providing written answers for your submission, you must provide an answer to this first question: Briefly describe the nominated organization: its history and past performance (up to 200 words):
Total 199 words used.
In today's rapidly evolving business landscape, organizations are turning to AI-driven solutions to solve complex business problems, gain competitive edge and drive tangible outcomes. The challenges encompass absence of expertise within client setup, ever-evolving technology landscape, risks associated with AI adoption, delivering expected ROI, scaling AI solutions, and overcoming constraints around resource availability. Finding the right AI service partner that delivers high-impact solutions tailored to client needs is paramount.
WNS Analytics (WNS’ AI, Analytics, Data and Research practice) has over two decades of experience of powering business growth and innovation for 200+ global companies including Fortune 100 and Fortune Global 500 with AI, Analytics, Data and Research. WNS Analytics offers a unique synergy of domain knowledge and AI expertise, guiding organizations through the evolving tech landscape while ensuring security and maximizing ROI.
WNS Analytics consists of three key pillars - proprietary AI-led platforms along with consulting, and center of excellence (CoE). Unified Analytics Platform (UAP), is our Gen AI-enabled, cloud-based, modular platform combining data management, domain analytics, and proprietary pre-built industry-specific AI/ML models. This approach enables clients to develop and deploy AI solutions at scale. WNS Analytics’ platform approach blends strategy, industry-specific nuances, AI / ML operations, and intelligent cloud.
- If you are providing written answers for your submission, you must provide an answer to this second question: Outline the organization's achievements since the beginning of 2022 that you wish to bring to the judges' attention (up to 250 words):
Total 247 words used.
In the last year, with the advent of Gen AI, a panel of experts was set up to identify use cases across the business spectrum to implement Gen AI for delivering impactful business outcomes. WNS Analytics rapidly innovated and adopted Gen AI into its AI-led IP/platforms (such as UAP and WNS SKENSE) for use cases across industries and domains, enabling clients with rapid adoption of Gen AI using our platform approach.
Gen AI-powered UAP recently won the Artificial Intelligence Excellence Award by Business Intelligence Group. UAP– Insurance was awarded in the product category for its significant impact on enhancing claims processing efficiency and overall client operations, powered by ML. UAP has more than 50 client implementations across industries accelerating their AI maturity and delivering business outcomes. Industry-specific platforms for Insurance (UAP – Insurance), Healthcare, Manufacturing and Retail/CPG, Travel, Shipping & Logistics are part of the UAP ecosystem.
WNS SKENSE, an enterprise grade cognitive data capture and processing platform underpinned by AI and ML is also part of UAP ecosystem.
Impact:
1.For a Manufacturing, Retail and CPG Client, 4x CTR for a marketing campaign enabled by Gen AI-driven content creation to influence customer behavior.
2. For an Insurance client, 76% improvements in TAT and 40% improvement in operational efficiency
3. For a Healthcare client, 35-45% improved efficiency in clinical summarization through integration with Gen AI
4. For an S&L client, USD 9 million cost savings in 5 years; 99% enhancement in data accuracy and 40% TAT improvement
- If you are providing written answers for your submission, you must provide an answer to this third question: Explain why the achievements you have highlighted are unique or significant. If possible compare the achievements to the performance of other players in your industry and/or to the organization's past performance (up to 250 words):
Total 250 words used.
WNS Triange’s platform approach is unique because:
Gen AI-powered Platform:
UAP’s ability to harness the power of LLMs elevates its generative, predictive and analytical capacities. UAP leverages all leading LLMs including OpenAI GPT4, Amazon Bedrock, Llama2, PaLM2. It leverages Gen AI for business use cases such as Recovery Opportunity Identification, Vehicle Damage Severity Assessment, Clinical Summarization, Sentiment Analysis, and Advanced Information Extraction etc.
Domain-specific Proprietary AI/ML Models built on responsible AI principles:
UAP’s robust suite of 40+ proprietary industry-specific AI/ML data science models across Insurance, Healthcare, Retail/CPG, Travel, Shipping & Logistics. UAP’s models are built considering Responsible AI principles such as Inclusivity & Non-Discrimination, Reliability & Safety, Privacy, Security, Transparency, Explainability, Accountability, Positive Human Values. These models are integrated with clients’ data to solve specific business use cases.
Optimal energy consumption
UAP leverages automated deployments using Infrastructure as Code to ensure optimal usage of computing resources. This, together with sustainable and energy efficient ML models ensures the solution is delivered with minimal energy consumption. The automation and AI-driven capabilities have streamlined operations, enabling efficient allocation of human resources.
Cloud and data-type agnostic Platform:
It is built on cloud-agnostic architecture which is flexible and scalable, working seamlessly with different cloud systems and can handle both unstructured and structured data.
Microservices-based serverless Architecture:
It helped in bringing cost efficiency to the infrastructure while improving performance and scalability.
Comprehensive Workflow Coverage:
UAP provides end-to-end solution with customizable workflows for human in the loop approach to enable feedback and continuous learning of ML models.
- You have the option to answer this final question: Reference any attachments of supporting materials throughout this nomination and how they provide evidence of the claims you have made in this nomination (up to 250 words):
Total 71 words used.
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