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If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Lack of oversight establishes a different kind of risk, with shadow IT posing significant security threats to organisations.
Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.
So, in keeping with the New Years spirit, we asked multiple CIOs about their professional resolutions for 2025. One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. She recognizes that the possibilities of AI grow by the day but so do the risks.
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. Before we reach the point where humans can no longer keep up, we must embrace how much better AI can make us.”
Speaker: Claire Grosjean, Global Finance & Operations Executive
Human Oversight 🤖 Why people remain a key part of spend management, and how to strike the right balance between AI-driven analytics and human financial expertise. Compliance and Risk Considerations ✅ Navigating data-driven finance while staying audit-ready. Master the balance between analytics and action.
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. As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps.
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. That means companies can use it on tough code problems, or large-scale project planning where risks have to be compared against each other.
Forrester Research this week unleashed a slate of predictions for 2025. 2025 will be about the pursuit of near-term, bottom-line gains while competing for declining consumer loyalty and digital-first business buyers,” Sharyn Leaver, Forrester chief research officer, wrote in a blog post Tuesday.
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.
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.
In 2025, thats going to change. Here are five keys to addressing these issues for AI success in 2025. What are the associated risks and costs, including operational, reputational, and competitive? Increase adoption through change management. Identify your top genAI use cases. Turn to experts for guidance and support.
With growing demand and increasing emphasis on sustainability, businesses are facing heightened challenges and responsibilities in 2025. These risks underline the importance of robust storage and transportation systems designed to minimise hazards.
The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. Looking ahead to 2025, Lalchandani identifies several technological trends that will define the Middle Easts digital landscape.
Weve been told 2025 will be the Year of Agents, but at the same time theres a growing consensus from the likes of Anthropic , Hugging Face , and other leading voices that complex workflows require more control than simply trusting an LLM to figure everything out. Development velocity grinds to a halt.
This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. To respond, CIOs are doubling down on organizational resilience.
This award-winning access management project uses automation to streamline access requests and curb security risks. Access management is crucial in the legal world because cases depend on financial records, medical records, emails, and other personal information.
These servers are busy storing, managing, and processing data that enables users to expand or upgrade their infrastructure and retrieve files on demand. a) Software as a Service ( SaaS ) – software is owned, delivered, and managed remotely by one or more providers. The capabilities and breadth of the cloud are enormous.
CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.
Managing cybersecurity and other technology risks will be top of mind for CIOs in 2025 across Australia and New Zealand (ANZ), with 82% of 109 respondents saying it is a key priority for next year, according to Gartner.
In early 2025, security researchers uncovered the Murdoc Botnet, a new strain of the infamous Mirai malware. Data privacy risks. Weak encryption or insecure APIs create data leakage risks. Insecure third-party firmware, libraries and components can introduce risks far upstream of deployment. Weak authentication.
As IT landscapes and software delivery processes evolve, the risk of inadvertently creating new vulnerabilities increases. These risks are particularly critical for financial services institutions, which are now under greater scrutiny with the Digital Operational Resilience Act ( DORA ).
I dont think anyone has any excuses going into 2025 not knowing broadly what these tools can do for them, Mason adds. Ethical, legal, and compliance preparedness helps companies anticipate potential legal issues and ethical dilemmas, safeguarding the company against risks and reputational damage, he says.
According to the 2025 State of the CIO survey , 38% of IT leaders say monetizing company data is the most significant business initiative driving their IT investments this year the No. After youre convinced you have a data product or service the market wants, then define the technology required to manage, maintain, and govern the data.
What will the world of data tools be like at the end of 2025? This will drive a new consolidated set of tools the data team will leverage to help them govern, managerisk, and increase team productivity. What will exist at the end of 2025? Data Infrastructure cost management (or FinOps) will become necessary.
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.
Good data governance provides guardrails that enable enterprises to act fast while protecting the business from risks related to regulatory requirements, data-quality issues and data-reliability concerns. Additionally, GenAI systems can exacerbate governance risks. Data governance is integral to an overall data intelligence strategy.
A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025. The Relationship between Big Data and RiskManagement. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse.
Now, chief executives want their CIOs to identify how AI can deliver measurable value to the organization, says Mark Taylor , CEO of the Society for Information Management (SIM), a nonprofit professional association. Are our security operations tuned for resiliency and our organizations risk appetite? How do we get better?
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.
For CIOs tasked with managing IT budgets while driving technological innovation, balancing these costs against the benefits of GenAI is essential. In this article, we will explore the cost-related barriers to GenAI adoption, including high implementation expenses, ineffective cost management, and infrastructure demands.
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.
Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.” 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. Instead, show how leading companies manage it strategically.
While most provisions of the EU AI Act come into effect at the end of a two-year transition period ending in August 2026, some of them enter force as early as February 2, 2025. particular, companies that use AI systems can share their voluntary commitments to transparency and risk control.
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. From chatbots handling customer queries to algorithmic pricing strategies and automated inventory management, retailers are finding innovative ways to leverage AI capabilities.
Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” When it comes to security, though, agentic AI is a double-edged sword with too many risks to count, he says. “We That means the projects are evaluated for the amount of risk they involve.
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. This can be great for technically-savvy customers but has the risk of not being sufficiently abstracted from AI costs to hold value over time, he says.
Organizations big and small, across every industry, need to manage IT risk. trillion annually by 2025. based IT directors and vice presidents in companies with more than 1,000 employees to determine what keeps them up at night—and it comes as no surprise that one of their biggest nightmares is managing IT risk.
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.
Our latest 2025 BARC Score on Data Intelligence Platforms reveals four key trends that are reshaping how organizations harness their data assets. You need tools that provide comprehensive oversight of your AI systems, from cataloging the unstructured data feeding your models to assessing the risks associated with AI-driven decisions.
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. And we’re at risk of being burned out.” It gets beyond what we can manage.”
Meanwhile, Gartner predicts at least 30% of gen AI projects will be abandoned after the proof-of-concept stage by 2025. His customer service department uses Freshworks Customer Service Suite, which includes AI-powered chatbots to manage user requests. Wildeman is a non-IT specialist who has pushed for the implementation of AI.
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. The report suggested that the quality of organizational data remains a top obstacle, with 85% of respondents citing it as the most significant challenge for 2025.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. AI usage may bring the risk of sensitive data exfiltration through AI interactions.
April 30, 2025 insightsoftware , the most comprehensive provider of solutions for the Office of the CFO, introduces EZLease Lessor , a lease lifecycle management solution that reduces risk, cost, and complexity for lessors. This allows teams to focus on higher-value, strategic tasks.
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