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Despite these limitations and concerns among CIOs over AI costs, real progress has been made this year and we can expect to see this grow further in 2025. Focus on data assets Building on the previous point, a companys data assets as well as its employees will become increasingly valuable in 2025.
The report underscores a growing commitment to AI-driven innovation, with 67% of business leaders predicting that gen AI will transform their organizations by 2025. Leaders are putting real dollars behind agents, but with mounting pressure to demonstrate ROI, getting the value story right is critical.
When you reframe the conversation this way, technical debt becomes a strategic business issue that directly impacts the value metrics the board cares about most. Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterprise applications, AI is the primary contributor to tech debt.
I dont think anyone has any excuses going into 2025 not knowing broadly what these tools can do for them, Mason adds. So the organization as a whole has to have a clear way of measuring ROI, creating KPIs and OKRs or whatever framework theyre using. What ROI will AI deliver?
But alongside its promise of significant rewards also comes significant costs and often unclear ROI. Ineffective cost management: Over 22% of IT executives highlight challenges in managing costs and developing clear ROI methodologies. See also: Gen AI in 2025: Playtime is over, time to get practical. million in 2025 to $7.45
They are finding new ways to leverage data analytics and AI technology to maximize their ROI. E-commerce startups are investing most heavily in big data, which is why the e-commerce analytics market will be worth over $22 billion by 2025. Keep reading to learn more about the metrics that data-driven online stores are prioritizing.
More than 90% of IT leaders, in fact, expected their 2025 budgets to increase when surveyed in 2024. AI pressures The rapid adoption of AI over the past two years has demonstrated a need for IT spending to be better connected to business results, Guarini says, as CIOs are under pressure to deliver ROI from AI projects.
Sam Altman, OpenAI CEO, forecasts that agentic AI will be in our daily lives by 2025. Investments in AI agent projects are expected to yield orders of magnitude in ROI and business value if companies select high-impact use cases. But then, that’s where we must dive in slowly. Don’t let that scare you off.
Managers tend to incentivize activity metrics and measure inputs versus outputs,” she adds. At least 30% of gen AI projects will be abandoned by the end of 2025, the research firm predicts, due to unclear business value — as well as poor data quality, inadequate risk controls, and escalating costs.
Resilience frameworks have measurable ROI, but they require a holistic, platform-based approach to curtail threats and guide the safe use of AI, he adds. Perez highlights metrics like reduced security incidents, compliance adherence, and improvements in data governance. Its a business imperative, says Juan Perez, CIO of Salesforce.
According to Informaticas CDO Insights 2025 , 87% of data leaders expect increased investment in generative AI and data governance, yet only a fraction are leveraging these advancements for ESG efforts. This lack of clear ROI can make it challenging for CDOs to justify sustainability investments to key decision-makers.
Gartner also recently predicted that 30% of current gen AI projects will be abandoned after proof-of-concept by 2025. Operating profit gains from AI doubled to nearly 5% between 2022 and 2023, with the figure expected to reach 10% by 2025, she adds. CIOs need to be able to articulate the business value and expected ROI of each project.
Research from IDC predicts that we will move from the experimentation phase, the GenAI scramble that we saw in 2023 and 2024, and mature into the adoption phase in 2025/26 before moving into AI-fuelled businesses in 2027 and beyond. These ROI expectations exist despite many surveyed organisations not having a clear AI strategy.
billion by 2025. More companies are using analytics to expand the reach of their PPC campaigns and improve their ROI. With multiple layers of the campaign to work through and various targeting metrics to consider, it’s easy to get it wrong and waste your budget. The market for web analytics is projected to be worth $9.11
bn by 2025. . Here, the dashboard could include project health elements such as cost, schedule, scope, ROIs, feedback, value to the partner, evaluation of meaningful outcomes, and management hierarchy to name a few. Not to miss, Cloud analytics are increasingly dominating their on-premise predecessors. It is growing at a CAGR of 23.0%
See Roadmap for Data Literacy and Data-Driven Business Transformation: A Gartner Trend Insight Report and also The Future of Data and Analytics: Reengineering the Decision, 2025. See The Future of Data and Analytics: Reengineering the Decision, 2025. Also see The Future of Data and Analytics: Reengineering the Decision, 2025.
Welcome to 2025! 2025 is forecast to be as impactful as any of the last few years, with continuing advancements in financial and business reporting technology promising to help organizations enhance their operational efficiency and effectiveness. Weve survived a lot in the last 25 years.
Metrics and evaluation Establishing clear objectives and metrics for success ensures AI initiatives align with your business goals. Key performance indicators (KPIs) and metrics can be categorized in two ways: Business-level metrics: These directly measure progress towards specific business goals.
Early returns on 2025 hiring for IT leaders suggest a robust market. Were seeing record growth in our search firm almost immediately in 2025, says Kelly Doyle, managing director at Heller Search Associates, an executive recruiting firm in Westborough, Mass., Stories and metrics matter. What of the Great CIO Migration?
To avoid that speed bump, Tanowitz advises CIOs to own the AI governance framework, and to ensure the framework establishes ways to pick and prioritize AI initiatives based on business value and establishes metrics to measure ROIs. Create the right incentives CIOs who want to move faster must provide incentives to do so, Lightman says.
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