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Are CIOs an influencer for innovation?
In an era where tech fuels business innovation, chief information officers (CIOs) are uniquely positioned to help guide their organizations toward transformation. How? Focus on human-centric technology to drive modernization and transformation. This shift can enable moving beyond keeping systems operational, to help influence corporate valuation and spearhead innovation. Generative AI (GenAI) can help organizations increase productivity and cost savings by elevating platform modernization from a tactical initiative to a strategic advantage. Prioritizing ongoing improvement over large-scale transformations, CIOs can turn innovative tech into a competitive edge.
In the spotlight
CIOs see AI regulation down the road — and it’s not easy to keep up
With new capabilities and vulnerabilities debuting seemingly daily, it’s no wonder information and technology leaders are thinking about AI. Nearly half (47%) rate keeping up with the expansion of AI policy and standards as a significant challenge, according to our October 2024 Pulse Survey. The growing complexity of these regulations underscores the seriousness of AI-related risks, which are becoming a critical concern for organizations.
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{More than 68%} of tech leaders cite AI legal and reputational risks as a moderate or serious risk to their company
Source: PwC Pulse Survey, October 2024
What to focus on in 2025
Cloud and digital
Prioritize cloud platform modernization
Unlocking the value of cloud goes beyond data migration. Focus on full-stack platform modernization and a cloud-first environment throughout your entire tech ecosystem to help influence more powerful outcomes across your business. By focusing on data modernization, legacy data quality can improve and lead to better reporting and stronger integration.
CIOs should also prioritize platforms that treat data, applications and infrastructure as a unified ecosystem. Equip the business to understand how modern build techniques improve its ability to leverage AI-powered architectures, with an emphasis on how cloud modernization is closely tied to GenAI — a key to operational efficiency. Platform modernization requires expertise to map and engineer the journey — leveraging a managed services solution can help accelerate these investments while managing cloud capabilities to optimize costs and outcomes.
Additional ways to prioritize cloud platform modernization
Cloud and digital
Application modernization: Unlocking greater business impact
Modernize business applications to take advantage of cloud. See how IT leaders can get more value from app modernization.
Cloud and digital
Why cloud quality engineering matters to business outcomes
By investing in quality engineering services early on, businesses can align technology with actual needs and drive better cloud business outcomes.
Cloud engineering
How AI and cloud can power the future of business
How is next-generation cloud redefining outcomes and organizations? PwC's 2024 Cloud and AI Survey reveals what it takes to compete in an AI economy.
Data and analytics
Focus on ERP data modernization
Find out how moving enterprise resource planning (ERP) and enterprise apps to the cloud can enhance data agility and transform your business.
[38%] of CIOs and CTOs say their company’s technology is completely prepared to support a new business model
Source: PwC Pulse Survey, June 2024
Generative AI
Balance the promise and practice of GenAI
Tech leaders have a dual agenda when it comes to GenAI: Make the no-regret moves that can deliver value today while investing to build capabilities for the longer term. And do it all while considering the underlying need for Responsible AI.
Your CEO and board want to see upticks in productivity and cost savings now. Start by addressing technical debt to create a more agile IT environment — freeing up resources that can focus on GenAI-powered transformation and other investments. At the same time, establish a modern data architecture, build an AI factory, upskill the business on new ways of working and how environmental, social and governance (ESG) affects every area of your company.
With the increasing adoption of AI technologies driving a significant rise in energy consumption of data centers, it’s up to you to consider the environmental impact of different tech solutions and how to drive innovation more sustainably.
Additional ways to balance the promise and practice of GenAI
Generative AI
Guide to scaling generative AI for your business
Build a strategy with these guidelines for deploying and scaling generative AI in your business to transform operations, access data and insights.
Generative AI
How generative AI model training and deployment affects sustainability
Learn how GenAI's operational efficiencies can help reduce carbon emissions while balancing its impacts on your carbon footprint.
Risk management
AI hallucinations: what business leaders should know
What are AI hallucinations and how can you prevent them? Learn how they are produced and strategies for reducing them when using generative AI.
Emerging technology
The new Essential Eight technologies: what you need to know
Emerging tech like AI and VR drive business reinvention. Discover which are ready to scale, applicable to new use cases or primed for experimentation.
{Only 11%} of executives report having fully implemented these fundamental Responsible AI capabilities
Governance
Redefine ways of working
As you transform your tech function to support enterprise transformation, resetting business and vendor relationships is crucial. Cloud service providers (CSPs) are instrumental in delivering on strategy and they hold a lot of power. But so do you. With an abundance of options and advanced tech offerings to choose from, how you manage your CSP strategy, contracts and interactions is key. And that includes deciding what you might pull back and manage in-house.
There’s also the need to revamp processes, tools and apps — including GenAI — to help accelerate software development and other IT work. By redefining IT and elevating platform modernization from a tactical initiative into a strategic advantage, organizations can avoid disruptive, large-scale tech transformations in favor of continuous reinvention.
Additional ways to redefine ways of working
Governance
How a chief AI officer can help accelerate your AI strategy
Find out what a chief artificial intelligence officer (CAIO) does and whether you should add one to the C-suite to drive AI and generative AI value.
Governance
Good governance for AI: 5 real-world insights for risk professionals
Learn why AI governance matters and the key elements for risk, compliance, legal and security leaders.
Resilience
Technology risk: So pervasive, it’s hard to see
Managing tech risk needs enterprise-wide coordination — leaders must collaborate across silos to identify and mitigate vulnerabilities.
[39% ] of Top Performers are changing their relationships with CSPs by assessing the sustainability impact of its carbon footprint
Explore executive insights
Identify the key focus areas of your colleagues.
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