Deep dives and data on the themes that matter
Infosys Bank Tech Index – Volume 1
A quarterly report surveying the largest banks globally to benchmark their key technology priorities, performances, spend, and talent changes.
Life Sciences: Trends for the Future
Explore the seven trends intersecting digital technologies and life sciences that will enable leaders to harness rapid change and deliver breakthroughs for life.
Infosys Bank Tech Index Volume 2 - May 2024
A quarterly report surveying the largest banks globally to benchmark their key technology priorities, performances, spend, and talent changes.
Generative AI Radar – Telecommunications
This study uncovers how companies use generative AI, how much they spend on it, how it’s being rolled out in organizations large and small, and where it makes an impact in the telecommunication industry
Generative AI Radar – High tech
This study uncovers how companies use generative AI, how much they spend on it, how it’s being rolled out in organizations large and small, and where it makes an impact in the high tech industry.
Cloud Radar: CPG and Retail Industry Report
CPG and retail businesses can get the most out of cloud adoption if they embed the right business case, master monitoring and prediction, and opt for a value-centric cloud operating model.
Tech Navigator: Building the AI-First Organization
For firms to leapfrog into the AI era, they need to build their organization on four key pillars – reimagining experience and process, AI engineering excellence, responsible AI by design, and AI operating model.
Generative AI Radar – Manufacturing
Spending on generative AI by the Manufacturing industry is set to grow by 103% in 2024 from $1 billion spent in 2023.
Generative AI Radar – Financial Services
Spending on generative AI by the Financial Services industry is set to grow by 164% in 2024 from the $1 billion spent in 2023.
Generative AI Radar – Life sciences
Spending on generative AI by the Life sciences industry is set to grow 36% in 2024 from the $470 million spent in 2023.
Cloud Radar: Manufacturing Industry Report
Cloud computing has moved up the value chain for innovation and new product value development.
Infosys Bank Tech Index – Volume 1
A quarterly report surveying the largest banks globally to benchmark their key technology priorities, performances, spend, and talent changes.
Our research shows that APAC firms spent $1.4 billion in 2023, and that is set to grow by more than 140% to $3.4 billion in 2024.
Our research estimate that European companies are expected to spend $2.8 billion in 2024 on Generative AI initiatives – an increase of 115% compared to an estimated $1.3 billion in 2023.
Generative AI Radar 2023 – North America
Our research shows that businesses in the US and Canada are committing significant investment in generative AI because they see it as a driver of growth.
Data+AI Radar - Financial Services Industry
This is a major study that provides a comprehensive, six-point approach that can improve the financial industry's adoption of AI.
Cloud has become a business imperative, and companies risk losing the benefits of this new era of cloud unless they take a new approach to managing it.
Tech Navigator: Building the AI-First Organization
For firms to leapfrog into the AI era, they need to build their organization on four key pillars – reimagining experience and process, AI engineering excellence, responsible AI by design, and AI operating model.
To retain and increase customers, companies need to go beyond high-quality products at competitive prices, and back them with superior digital experiences
Open Banking in Europe & Asia: A Steady March Forward
Infosys surveyed senior banking executives across Australia and New Zealand (ANZ), ASEAN and Europe to understand how they invested in open banking initiatives.
To compete in these fraught and turbulent times, businesses need to overhaul their strategy and approach.
Data+AI Radar 2022: Telecommunications Industry Report
Telecom has more AI experience than other industries, yet the lowest satisfaction rate with its AI deployments. Focusing on recommended data and AI practices could help fix the issue.
