Dive into ‘The Future of Enterprise Data & AI’

See how 100 cross-industry leaders from data, analytics and AI are capitalising on the opportunities – and managing the risks.

Dive into ‘The Future of Enterprise Data & AI’

See how 100 cross-industry leaders from data, analytics and AI are capitalising on the opportunities – and managing the risks.

/ Intro
As advanced data, smarter analytics and Generative AI (GenAI) take every industry by storm, there are still endless questions and complexities.

What’s clear is that businesses can’t afford to wait and watch. So, whether your company is an industry leader, market observer or policymaker, our latest report gives you a deeper understanding of the evolving landscape, its challenges and the strategies leaders deploy.

01
Get clarity around the fundamental opportunities and risks as enterprises seek to capitalize on AI – and safeguard against it
02
Understand the key principles of GenAI, its potential to transform industries and the associated concerns
03
Explore where organizations are already driving value through advanced data practises and talent pipelines
/ Future of AI

The future of AI is now…

0%
planning or currently involved in GenAI projects
0%
extremely concerned about ethical implications of AI decision-making
0%
believe integrity and quality of data is most crucial aspect
/ Action

AI in action

Automation
Transport
Healthcare
Product innovation
/ Key themes

Explore the biggest gAIns and pAIns

Every business leader has huge decisions to make – and fast. How much to invest? Where to focus? What are the risks – to privacy, security, customer loyalty? And what are the ethical implications for humanity?

Through our research with 100 leaders at the very forefront of this decision making, our report gives you clearer perspective to make your next decisions with confidence.

Building the right data ecosystem
  • How to ensure quality data for deeper analytics
  • Overcoming legacy infrastructures, migration and integration
  • The importance of modern data management
Balancing AI’s potential with privacy and ethical concerns
  • Where do you deploy AI for most value?
  • How do you scale quickly yet responsibly?
  • What are the safeguards for AI decision-making, security, bias and accountability?
  • When should you look to external partnerships?
Embracing the promises and challenges of GenAI
  • How do you see beyond the hype to the real possibilities?
  • How do you prevent uses that can have a negative impact on customers?
  • How do you create a talent pipeline that can unleash its full potential?
/ Insights

Expert perspectives

Explore some of the report’s key themes in more detail…

WNS Triange’s Consulting Framework
WNS Triange (Data, Analytics and AI Practice of WNS) enables organizations to build a robust AI foundation by offering...
Capability to Contextualize LLM
Contextualizing LLM by integrating them with industry-specific AI / ML models, deploying them in client environments...
WNS Triange’s Proprietary AI / ML Models
Proprietary, industry-specific pre-built AI / ML models ready-for-use with Gen AI
Application Development Capability
Expertise in building analytics applications to operationalize and scale up the models which are tailored for business use cases
WNS Triange’s Gen AI-powered AI / ML Platforms
Plug-and-play industry and function-specific platforms for clients to customize and achieve speed-to-value...