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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.
Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Im not suggesting that all of this will happen in 2025, but its the long-term direction.
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.
How does our AI strategy support our business objectives, and how do we measure its value? Meanwhile, he says establishing how the organization will measure the value of its AI strategy ensures that it is poised to deliver impactful outcomes because, to create such measures, teams must name desired outcomes and the value they hope to get.
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
According to the IDC FutureScape: Worldwide Future of Industry Ecosystems 2023 Predictions (October 2022), by 2025 60% of global 2000 organizations will have formed cross-ecosystem environmental sustainability teams responsible for sharing data, applications, operations, and expertise in ways that facilitate sustainable ecosystem practices.
Resilience frameworks have measurableROI, but they require a holistic, platform-based approach to curtail threats and guide the safe use of AI, he adds. However, CIOs must still demonstrate measurable outcomes and communicate these imperatives to senior leadership to secure investment.
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.
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.
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. More companies than ever are shifting towards digital business models. 4 – Gross margins.
Measuring investment and determining ROI plays a big part in this and proving the ROI for customer experience is essential for organisations to continue investment and growth. By 2025, more than 50% of IT organizations will use digital employee experience to prioritize and measure digital initiative success.
trillion by 2025 , these concerns are urgent and certainly not far-fetched fallacies. That’s why it is important to implement a secure BI cloud tool that can leverage proper security measures. In both cases, the return on investment (ROI) is healthy. In an age where cybersecurity is expected to cost a collective $10.5
But unknown to many is Indias meteoric rise to become a global leader in AI adoption and it is one to watch: what happens in the Indian market in 2025 will set the scene for the rest to follow. The first is responsible AI development.
But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes. For example, consider identifying a single, measurable use case for AI that gets you started with a proof of concept (PoC) that could be a stepping stone to other initiatives. Outcomes you can expect.
billion by 2025, according to Forrester research. The RPA center of excellence develops business cases, calculating potential cost optimization and ROI, and measures progress against those goals. Some vendors position their tools as “workflow automation” or “work process management.” billion in 2021 to $6.5
billion on big data by 2025. All software will require some degree of customization, but to control costs and speed time to ROI you want to minimize the amount of customization that’s necessary. A growing number of ecommerce platforms have expressed the benefits of data analytics technology and incorporated them into their solutions.
trillion by 2025. A growing number of advertising platforms such as Facebook are using AI and other big data technology to get more value for their marketers, which means that your ROI will be higher as a marketer of digital products. Reduce risk by choosing a platform that offers up-to-date security measures.
It’s aggressively deploying those to Azure data centers, which won’t require any changes by customers, and expects these investments to come closer to meeting demand by mid 2025. Measuring costs and value The other major issue with gen AI is the price. There’s small models and multimodal models with vision, voice, and text,” he says.
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. measuring value, prioritizing (where to start), and data literacy? See The Future of Data and Analytics: Reengineering the Decision, 2025. Great idea.
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.
As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago. Most of all, the following 10 priorities should be at the top of your 2025 to-do list. Finding value-added agentic AI use cases should be a top priority for CIOs in 2025, Bailey says.
In 2025, IT leaders should invest in AI, but also focus on the cases where they can demonstrate measurable value, and then improve on those cases incrementally. Make mid-scale investments and show ROI both in the short and long term, just like you would on any other project. Where are we heading? How are we making money?
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., CIOs need to be the business and technology translator.
A measurement framework helps ensure your companys business goals are in line with the business strategy. Key performance indicators (KPIs) and metrics can be categorized in two ways: Business-level metrics: These directly measure progress towards specific business goals.
As per Foundrys State of the CIO Study 2025, almost 79% of CIOs respondents say they have additional responsibility of driving AI / Gen AI projects at their organisation. Focus on high-impact AI use cases aligned with business goals, ensuring measurableROI. Myth: AI Delivers Immediate ROI.
IT leaders, data executives, and business decision-makers are moving beyond early GenAI experimentation and shifting their focus to operationalizing AI at scale for measurable impact. How do we prove ROI and justify continued investment in GenAI? How do we implement AI governance without stifling innovation?
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 measureROIs. It gave us back the ability to be creative and to chase new features.
Business consulting firm Deloitte predicts that in 2025, 25% of companies that use generative AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027.The This could be the year agentic AI hits the big time, with many enterprises looking to find value-added use cases. Feaver says.
AI investment and pressure grew upward As AI has moved from emerging to mainstream, and organizations matured in their ability to harness AIs potential over the past year or two, CEOs now expect less experimentation and more AI projects that deliver outcomes with measurable business value.
Internally, the company said that the shift was “not a cost-cutting measure, but rather a way to more efficiently run software operations,” the Detroit Free Press quoted GM spokesman Kevin Kelly saying. “We GM’s layoffs are more than just a cost-cutting measure. This is especially the case with various Generative AI efforts.
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