Dive into 'The Future of Enterprise Data & AI'

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

Intro

As advanced data, smarter analytics and Generative AI (Gen AI) 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

clarity
02

Understand the key principles of Gen AI, its potential to transform industries and the associated concerns

keys
03

Explore where organizations are already driving value through advanced data practises and talent pipelines

explore
Future of AI

The future of AI is now…

0%
planning or currently involved in Gen AI projects
0%
extremely concerned about the ethical implications of AI decision-making in their organizations
0%
believe integrity and quality of data are the most crucial aspects
Action

AI in action

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 a clearer perspective to confidently make your next decisions.

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
right-data building

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?
balancing ai-colored

Embracing the promises and challenges of Gen AI

  • 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?
embracing embracing