ServiceNow announced that global digital services provider Teleperformance is joining the AI Lighthouse program.
Teleperformance will collaborate on the design, development, and deployment of new industry specific generative AI (GenAI) use cases that boost productivity and help increase customer and employee satisfaction across front‑ and back‑office capabilities in Customer Service Management (CSM) and IT Service Management (ITSM).
Announced in July 2023, AI Lighthouse is a first‑of‑its kind program to fast‑track the development and adoption of enterprise GenAI capabilities. Teleperformance’s participation complements the company’s launch of TP GenAI earlier this year.
“Some of the world’s biggest brands are focused on leveraging generative AI tools to improve efficiencies and strengthen their services,” said Teleperformance Chairman and CEO, Daniel Julien. “Our partnership with ServiceNow will tap into our deep insights based on decades of digital CX experience to create compelling and actionable generative AI use cases for our clients with AI Lighthouse.”
"Generative AI is unveiling a new frontier of human productivity, leading the way to an era of rising prosperity,” said ServiceNow Chairman and CEO Bill McDermott. “AI Lighthouse welcomes brilliant minds across all industries to propel generative AI innovation. We are honored to have Teleperformance as part of our ecosystem, their digital services expertise will help to unleash the potential of AI‑enabled experiences.
Teleperformance brings deep experience in CX consultancy, GenAI, engineering, and development to AI Lighthouse. The company’s initial focus will be to design and develop new GenAI models to support agent interaction with customers. As the most critical part of customer care, Teleperformance will look to automate remedial agent tasks such as case summarization, next steps, and knowledge management for their customer service agents within the AI Lighthouse program.
The Latest
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...
Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...
Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...
OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...
Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...
The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...
The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...
More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey. Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries ...
Real privacy protection thanks to technology and processes is often portrayed as too hard and too costly to implement. So the most common strategy is to do as little as possible just to conform to formal requirements of current and incoming regulations. This is a missed opportunity ...
The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and validity, according to a new report from Information Services Group (ISG) ...