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Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. CIOs must also drive knowledge management, training, and change management programs to help employees adapt to AI-enabled workflows.
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.
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.
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. By 2029, 10% of global boards will use AI guidance to challenge executive decisions that are material to their business. “The
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. Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible.
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.
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.
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.
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.
Infor offers applications for enterprise resource planning, supply chain management, customer relationship management and human capital management, among others. Use cases are proliferating, including tasks or managing details that outwardly seem trivial but result in a substantial gain in productivity and improved performance.
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.
CIOs perennially deal with technical debts risks, costs, and complexities. Even modest investments in database tooling and paying down some data management debt can relieve database administrators of the tedium of manual updates or reactive monitoring, says Graham McMillan, CTO of Redgate.
UIPaths 2025 Agentic AI Report surveyed US IT execs from companies with $1 billion or more in revenue and found that 93% are highly interested in agentic AI for their business. The study found better oversight of business workflows to be the top perceived benefit of it. High-volume, repetitive tasks are ideal for AI.
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.
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.
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. Companies tend to invest heavily in the data plane where data is stored, organized and managed.
As organizations deal with managing ever more data, the need to automate data management becomes clear. Searching for data was the biggest time-sinking culprit followed by managing, analyzing and preparing data. That’s a lot of data to manage! It’s time to automate data management. How to Automate Data Management.
Despite all the interest in artificial intelligence (AI) and generative AI (GenAI), ISGs Buyers Guide for Data Platforms serves as a reminder of the ongoing importance of product experience functionality to address adaptability, manageability, reliability and usability. million revenue in the second quarter of fiscal 2025.
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. Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions.
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?
Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. Before that, though, ServiceNow announced its AI Agents offering in September, with the first use cases for customer service management and IT service management, available in November.
Cloud architects are responsible for managing the cloud computing architecture in an organization, especially as cloud technologies grow increasingly complex. Organizations have accelerated cloud adoption now that AI tools are readily available, which has driven a demand for cloud architects to help manage cloud infrastructure.
Over the past year, the focus on risk management has evolved significantly, says Meerah Rajavel, CIO of Palo Alto Networks. Why risk management is vital Risks in enterprise IT have significantly evolved in the past year, demanding an emphasis on short- and long-term resilience plans spanning multiple areas.
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. As a result, processes lose speed, innovations are poorly implemented and users are insufficiently empowered, says Jose Pereira, Manager at MHP.
So for all its vaunted benefits to efficiency, gen AI doesn’t always reduce workloads. Managers tend to incentivize activity metrics and measure inputs versus outputs,” she adds. Employees who need to submit reports to their managers might be able to get those reports done faster, and increase the number and length of those reports.
Big data is central to financial management. The market for financial data analytics is expected to reach $10 billion by 2025. One of the biggest uses of big data in finance relates to accounts receivable management. Fortunately, new advances in data technology have made accounts receivable management easier than ever.
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.
Enterprises must reimagine their data and document management to meet the increasing regulatory challenges emerging as part of the digitization era. The cost of compliance These challenges are already leading to higher costs and greater operational risk for enterprises. zettabytes in 2020 to 181 zettabytes in 2025.
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.
Manager, Product Marketing, Aruba Central. Unsurprisingly, more than half of enterprise IT spending in key market segments will shift to the cloud by 2025, according to Gartner. [1] Unsurprisingly, more than half of enterprise IT spending in key market segments will shift to the cloud by 2025, according to Gartner. [1]
Companies are expected to spend over $24 billion on customers analytics technology by 2025. The benefits of analytics to understand the customer journey cannot be overstated. In addition to analytics tools, they must use contact management services to make it easier to accumulate data. Advantages of CCaaS for Customer Analytics.
A 2025 chat interaction is exponentially more productive than a 2010 or 2015 chatbot. While its plausible to assume that extended automation and head count reduction lead to significant cost savings in service operations, there will be brand-management effects that affect the business more broadly.
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.
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. What comes up must come down.”
Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. Also, explore our guide to KPI management and learn from a host of helpful best practices. At the heart of every successful modern business lies a cohesive, well managed, and data-driven financial department.
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. Most data management conferences and forums focus on AI, governance and security, with little emphasis on ESG-related data strategies.
In a perfect world, enterprise IT should be funded at levels that enable existing operations to function outage– and security incident–free with a smattering of investments in a manageable portfolio of competitive advantage–producing innovation initiatives. With 2025 budgets expected to be tight, IT must have its “value story” ready.
It’s making waves in nearly every industry, including commercial fleet management. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. The technology vastly improves fleet management by allowing preventive maintenance, better safety, and enhanced administration and controls.
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.
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?
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 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. For instance, the finance module is a key component of an ERP solution.
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