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So, in keeping with the New Years spirit, we asked multiple CIOs about their professional resolutions for 2025. And ensure effective and secure AI rollouts AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. But its no longer about just standing it up.
Based on those and other criteria, here are three digital transformation practices CIOs might want to increase their focus on in 2025, and three worth replacing with other strategies or practices. 2025 will be the year when generative AI needs to generate value, says Louis Landry, CTO at Teradata.
Gartner’s top predictions for 2025 are as follows: Through 2026, 20% of organizations will use AI to flatten their organizational structure, eliminating more than half of current middle management positions.
CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. Experienced CIOs know there is never a blank check for transformation and innovation investments, and they expect more pressure in 2025 to deliver business value from gen AI investments.
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.
According to a Bank of America survey of global research analysts and strategists released in September, 2024 was the year of ROI determination, and 2025 will be the year of enterprise AI adoption. Anshu Bhardwaj, SVP and COO at Walmart Global Technology says that consumers arent the only ones who stand to benefit from mobile AI.
Research firm IDC projects worldwide spending on technology to support AI strategies will reach $337 billion in 2025 — and more than double to $749 billion by 2028. AI spending on the rise Two-thirds (67%) of projected AI spending in 2025 will come from enterprises embedding AI capabilities into core business operations, IDC claims.
This approach delivers substantial benefits: consistent execution, lower costs, better security, and systems that can be maintained like traditional software. This translates to higher costs and slower response times. But beneath the surface, its a patchwork of brittle improvisation and runaway costs.
Allow me, then, to make five predictions on how emerging technology, including AI, and data and analytics advancements will help businesses meet their top challenges in 2025 particularly how their technology investments will drive future growth. Prediction #4: 2025 will be a RAG to riches AI story.
Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.
Wei also noted that chemical supply costs in the US are substantially higher, citing the need to ship sulfuric acid from Taiwan to Los Angeles and then transport it to Arizona by truck. Supply chain constraints, such as higher material costs and logistical challenges, further increase expenses.
But alongside its promise of significant rewards also comes significant costs and often unclear ROI. For CIOs tasked with managing IT budgets while driving technological innovation, balancing these costs against the benefits of GenAI is essential. See also: Gen AI in 2025: Playtime is over, time to get practical.
The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. Sam Altman, OpenAI CEO, forecasts that agentic AI will be in our daily lives by 2025. Let’s review a case study and see how we can start to realize benefits now.
Agentic AI, the more focused alternative to general-purpose generative AI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. It also has the benefit that as underlying AI costs drop over time service providers can extract more margin for this work.
As Windows 10 nears its end of support, some IT leaders, preparing for PC upgrade cycles, are evaluating the possible cloud cost savings and enhanced security of running AI workloads directly on desktop PCs or laptops. OEMs that have shipped or are readying AI PCs for 2025 or 2026 include Dell, Acer, Asus, HP, Lenovo, Samsung, and Microsoft.
While CIOs understand the crushing weight of technical debt — now costing US companies $2.41 The more strategic concern isn’t just the cost— it’s that technical debt is affecting companies’ abilities to create new business, and saps the means to respond to shifting market conditions. You’re not alone.
Managed cloud services, commonly referred to as software as a service (SaaS), offer many benefits to organizations including significantly reduced labor costs for system administration and maintenance, as many of these costs are shifted to the software vendor.
The key areas we see are having an enterprise AI strategy, a unified governance model and managing the technology costs associated with genAI to present a compelling business case to the executive team. We expect some organizations will make the AI pivot in 2025 out of the experimentation phase.
The trade-off is capability and flexibility versus cost and time to value since third-party tools deal with end-to-end processes that span multiple applications in ways the Infor’s currently cannot. However, the productivity and staff morale benefits of AI-enabled applications are compelling.
CIOs perennially deal with technical debts risks, costs, and complexities. According to the 2025 Open Source Security and Risk Analysis Report from Black Duck, 81% of risk-assessed codebases contained high- or critical-risk vulnerabilities , and 90% contained components more than 10 versions behind the most current version.
million revenue in the second quarter of fiscal 2025. MongoDB has benefited from a focus on the needs of development teams to deliver innovation through the development of data-driven applications.
Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?
In 2024, squeezed by the rising cost of living, inflationary impact, and interest rates, they are now grappling with declining consumer spending and confidence. But 2025 and 2026 will bear good news, according to Deloitte. Fouache is confident retailers can benefit greatly from Akeneos upcoming developments.
The EU AI Act will be implemented in stages over the next two years, starting in February 2025, and the EU Data Act will be implemented in stages starting in fall 2025. Through needs-based shoring, the company can benefit from additional efficiency gains.
Measuring the benefits A strong resilience strategy brings a handful of benefits, one of which is improved productivity , says Rajavel. CIOs can measure the benefits of resilience in various ways, too. Others agree that making the case for resilience hinges on quantifying clear ROI associated with reduced costs.
The business benefit is that attorneys can get through the contracting process faster, respond to customers faster, and transact faster than anyone else. Gaskell expects to see up to 45% improvement in margins by mid 2025. And because these are our lawyers working on our documents, we have a historical record of what they typically do.
According to Westphal, transparent cost structures and contract models, as well as long-term support for partner solutions, are key concerns. This program is expected to significantly reduce the costs and time required for migrating to the new SAP world, for example, by offsetting previous investments in SAP products.
So for all its vaunted benefits to efficiency, gen AI doesn’t always reduce workloads. 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.
3) Cloud Computing Benefits. It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.
When organizations build and follow governance policies, they can deliver great benefits including faster time to value and better business outcomes, risk reduction, guidance and direction, as well as building and fostering trust. The benefits far outweigh the alternative. The cost due to lack of governance is too high to ignore.
There are not many organizations that can take a hit on net profit due to monstrous restructuring costs, yet at the same time raise their operating profit projections for 2025, but SAP is one of them, according to its latest quarterly results released this week.
Looking ahead to the 2025 budget season my futurist colleagues forecast a drama-rich street fight for enterprise IT resources. With 2025 budgets expected to be tight, IT must have its “value story” ready. To wit, the average cost of a 30-second ad spot at Super Bowl LVIII was $7 million. Is this too much to ask?
Gartner also recently predicted that 30% of current gen AI projects will be abandoned after proof-of-concept by 2025. Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts.
It is projected that there will be over 77 million smart homes in the United States by 2025. Technological innovation has proved incredibly useful for this purpose, so we’ve compiled a list of smart energy inventions that are helping us all save energy costs and reduce our reliance on finite resources. Smart grids. The impact.
According to Gartner [1], while only about 10 percent of enterprise-generated data is created and processed outside a traditional data center or cloud, this figure is expected to soar to 75 percent by 2025. All of this adds up to being able to push new boundaries in analytics and do more, faster.
In 2018, IDC predicted that the collective sum of the world’s data would grow from 33 zettabytes (ZB) to 175 ZB by 2025. Business users benefit from automating impact analysis to better examine value and prioritize individual data sets. The Benefits of Data Management Automation. Protecting data came in last place.
If last years Huawei Industrial Digital and Intelligent Transformation Summit was about exploring the opportunities and challenges of industrial intelligent transformation, the 2025 edition was about how rapid AI development has changed the landscape. Can we translate the concept of inclusive AI adoption across all industries into a reality?
A key driver for this is the steep resource cost in keeping customized implementations apace with the latest features — a cost many CIOs forgo in favor of stagnancy, at the risk of falling behind. This is cumbersome and leads to additional cost.
Industry experts are projecting that 50 billion devices will be connected worldwide this year, with the amount of data being generated at the edge slated to increase by over 500% between 2019 and 2025, amounting to a whopping 175 zettabytes worldwide.
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. Demonstrate business value : Frame sustainability initiatives as cost-saving measures that enhance operational efficiency.
Many AI projects have huge upfront costs — up to $200,000 for coding assistants, $1 million to embed generative AI in custom apps, $6.5 Those costs don’t include recurring costs, which can run into the thousands of dollars per user each year. SMBs are particularly vulnerable to these cost increases.”
A fleet must be outfitted with these technologies to benefit, whether natively or after the fact using add-on solutions. billion by the end of 2025 , up from $3.8 Growing requirement or not, there are many benefits of standardizing big data within fleet management operations. Organizations have already realized this.
It’s poised to become a major feature in the hospitality business by 2025 and one of the most important benefits of using big data. NFC benefits both customers and hotel owners for several reasons, including: Security. Guest room automation can bring multiple benefits to both hotel guests and hotel owners alike.
Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. KPIs used: Customer Acquisition Costs. Acquisition Cost. They are customizable and thus offer a powerful means of drilling down deep into very specific pockets of information. click to enlarge**.
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