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This article focuses on the digital investment decisions that can impact EPS growth and the underlying capabilities that enable it. Throughout, outcomes are expressed in EPS terms, giving chief information officers, chief financial officers, and boards a common language for making technology trade-offs. The analysis shows that increasing IT, data, and AI investments can nearly double earnings per share, unlocking a potentially huge competitive advantage
As gen AI programs scale, they’re spotlighting data integrity and model accuracy challenges that may require new strategic solutions to maintain overall software quality and trust. It investigates how organizations can build AI and data environments that address gen AI data integration, privacy, and model accuracy needs. The research draws on an extensive literature review, specialist interviews, and analysis of the survey data from Deloitte’s third- and fourth-quarter 2024 State of Generative AI surveys
The first in a three-part series on maintaining software quality as organizations integrate gen AI and explore common design challenges and opportunities to optimize for quality. For all its potential benefits, gen AI also introduces new challenges to software quality, causing leaders to often act as usage scales. Product and engineering leaders, chief information and technology officers, data professionals, and cyber executives should work to proactively address new challenges and ensure the quality of their digital solutions.
Government’s unique circumstances may lead to an innovative bottom-up approach to scaling generative AI. To gain deeper insights on this, Deloitte conducted its quarterly State of Generative AI in the Enterprise Survey. The survey included 2,770 senior leaders across 14 countries. Respondents were asked about the level of expertise, use cases, barriers, and impact and value created by gen AI
An overview of the ambitions, technologies, and value expected from digital transformation across regions. This research provides a common criterion for organizations to use when assessing their digital maturity against that of global organizations, based on survey data from over 1,600 global leaders. The research extends that global assessment frame to six countries: the United States, Canada, the United Kingdom, Germany, France, and Australia.
A comprehensive framework for identifying and capturing the full value of digital transformation across your organization. The analysis shows 81% of respondents use productivity as the prime measure of digital transformation ROI. Are organizations factoring in the right KPIs to measure the success of digital transformation? Our data shows respondents with a more holistic mindset are 20% more likely to attribute medium-to-high enterprise value to their digital transformations.
How to overcome five ERP implementation challenges? As C-suite leaders navigate technology investments, sustained Enterprise Resource Planning (ERP) investments can help drive growth, stability, and market impact. However, many organizations may be setting themselves up for disruption by taking their foot off the gas on ERP investments. Working to overcome these five common roadblocks can help drive ERP ROI and value for the organization.
Competitive advantage from digital transformation calls for organizations to benchmark their investments within their market context, including global region, industry, and other factors. A Deloitte survey of 1,600 global leaders in six countries provides indicators of trends in various regions that may help executives pressure-test their own digital transformation decisions.
Research has shown that organizations that deliver successful digital transformations bring together strategy, technology, and a strong change capability. When an organization’s strategy is tightly aligned with investments in modern technologies such as AI, cloud, cybersecurity, blockchain, or the Internet of Things (IoT), it can see double the market value compared with those that more broadly articulate their digital strategy, according to the research.
This research presents an overview of the impact of generative artificial intelligence across the software development lifecycle. Through interviews, case study analysis, a thorough literature review, and original analysis of proprietary Deloitte survey data, this research proposes strategic actions that product, engineering, and technology leaders can take today.
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