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Sondrio People’s Bank (BPS), for example, adopted business relationship management, which deals with translating requests from operational functions to IT and, vice versa, bringing IT into operational functions. BPS also adopts proactive thinking, a risk-based framework for strategic alignment and compliance with businessobjectives.
How does our AI strategy support our businessobjectives, and how do we measure its value? 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?
Jayesh Chaurasia, analyst, and Sudha Maheshwari, VP and research director, wrote in a blog post that businesses were drawn to AI implementations via the allure of quick wins and immediate ROI, but that led many to overlook the need for a comprehensive, long-term business strategy and effective data management practices.
By partnering with industry leaders, businesses can acquire the resources needed for efficient data discovery, multi-environment management, and strong data protection. To fully leverage AI and analytics for achieving key businessobjectives and maximizing return on investment (ROI), modern data management is essential.
Generative AI (GenAI) is reshaping how businesses operate, offering unprecedented opportunities for greater efficiency, streamlined operations, revolutionized customer service, and enhanced decision-making. But alongside its promise of significant rewards also comes significant costs and often unclear ROI. million in 2025 to $7.45
One of the most important parameters for measuring the success of any technology implementation is the return on investment (ROI). Providing a compelling ROI on technology initiatives also puts CIOs in a stronger position for securing support and funds from the business for future projects. Deploy scalable technology.
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.
To do so, we need to first ask ourselves three key questions: Question #1: How will we use AI to meet our specific businessobjectives? ROI quickly becomes DOA. Lets promise ourselves that this will be the year that we adopt a pragmatic approach to harnessing the vast potential of AI.
This is why many enterprises are seeing a lot of energy and excitement around use cases, yet are still struggling to realize ROI. So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation.
Proving the ROI of AI can be elusive , but rushing to achieve it can prove costly. Instead, CIOs must partner with CMOs and other business leaders to help quantify where gen AI can drive other strategic impacts especially those directly connected to the bottom line. Below are five examples of where to start.
Additionally, Deloittes ESG Trends Report highlights fragmented ESG data, inconsistent reporting frameworks and difficulties in measuring sustainability ROI as primary challenges preventing organizations from fully leveraging their data for ESG initiatives.
Technology that minimizes operational risk and provides advanced data management and protection that spans the entire edge-to-core continuum. Transitioning to Business Value . The transition from purchasing based on price and features requires a new approach, one that is focused on business challenges, outcomes, and value.
Combining the insights of business leaders with the technical expertise of the CIO leads to synergistic decision-making that differentiates organizations and brings prized marketplace disruption. Power business decisions with enriched data. Chief Risk Officer (CRO) – Emerging technology brings new risks.
A staged approach enables risk mitigation and resource optimization and ensures modernization efforts bolster operational efficiency and competitive advantage. Plan: Develop a detailed road map considering dependencies, resources, and risk mitigation strategies. Now, let’s delve into the concrete steps and strategies.
Business intelligence implementation is not an easy task, as it requires a lot of preparation work beforehand, gathers many different actors, and will involve expenses. But the rewards outperform by far its costs, and it is well known that business intelligence ROI is real even if it is sometimes hard to quantify.
as likely to say that their ROI on observability tools far exceeded expectations. From these data streams, real-time actionable insights can feed decision-making and risk mitigations at the moment of need. Leaders are 7.9x I call that “digital resilience for the win!” Splunk AI Assistant – Boom!
With more APIs, additional effort is required to maintain design consistency and reduce scalability and end-user experience concerns — not to mention the added security risks stemming from a widened surface area. “It Governance practices guide the organization and its tools to achieve all of these objectives with confidence.”
Salesforce found that 41% of line-of-business leaders feel their organization’s data strategy has little or no alignment with businessobjectives, while 37% of analytics and IT leaders feel the same way. The study suggests that a lack of shared KPIs may be a root cause of this issue.
At what scale do they provide a positive ROI?” Knowledge Graph SAP also unveiled SAP Knowledge Graph, a new solution that SAP’s Alam said “will unlock the full value of SAP data by connecting it with the rich business context captured in SAP applications.” “SAP What prerequisites are required to deploy these autonomous workflows?
Companies that neglect to use data analytics, AI and other forms of big data technology risk falling behind to their competitors. Email marketing automation begins with establishing the set of businessobjectives that you intend to achieve with email marketing automation. Stand out in the subscribers’ inbox.
“We know what we’re trying to achieve, because we know the business goals and objectives,” We want to grow substantially, and we want to do that with speed,” says Bilker, whose clarity on IT’s businessobjectives mirror the top directives CEOs are giving their CIOs, according to the 2024 State of the CIO Study from Foundry, publisher of CIO.com.
With this objective in mind: Determine your organization’s innovation appetite (versus its risk appetite; it is too early to speak of ROI in the metaverse). Align on a businessobjective for the metaverse: Are we trying to engage a specific customer population? Are we trying to improve efficiency?
Data-driven decisions: Leverage data and analytics to assess new technologies’ potential impact and ROI. Cross-functional collaboration: Engage diverse stakeholders and foster external partnerships to align with business goals and stay at the forefront of technological advancements.
Align with business goals: Clearly articulate how IT initiatives can directly support the broader businessobjectives of the company and help gain competitive advantages. Show the short-term and long-term benefits, along with the associated costs and risks. Also spotlight the other side of ROI (return on ignorance).
Chief Risk Officer (CRO) – Complying with regulatory guidelines may be challenging during times of disruption, especially in heavily regulated industries. Commercial insurance is another critical risk-mitigation tool used to reduce operational risks. Director, Risk Assessment. Connect with the authors: Matthew Watson.
Protect: security needs including risk management, fraud detection and cybersecurity initiatives through risk modelling and analysis, regulatory compliance, and financial crime prevention. . Connect: connecting multiple data sources to deliver a more complete understanding of a business and its customer and partner relationships.
They also need to consider their ROI over their data; their Risk of Incarceration (thank you to Karen Lopez for that one!). Without data governance, it is hard to have robust business intelligence, data science and artificial intelligence. ’ in order to understand how it ties to businessobjectives.
“The key objectives of this initiative can be summed up as first aiming to reduce our product development timeline by 20%,” Gopalan says. Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.” This allowed us to derive insights more easily.”
The clear benefit is that data stewards spend less time building and populating the data governance framework and more time realizing value and ROI from it. . agging sensitive information to accelerate compliance efforts and reduce data-related risks.
They have to align with the company’s strategic objectives and priorities, therefore, their realization needs to be thought out. The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus. This is why it is highly important to report correctly.
More than 50% of respondents are concerned about unpredictable risks impacting generative AI initiatives and fear they will create increased potential for business disruption. AI that strays from what it was operationally designed to do can introduce new risks with unforeseen business impacts.
Most CEOs (72%) continue to prioritize digital investments, according to the 2022 CEO Outlook report from KPMG, in part due to concerns about emerging and disruptive technology, a top three risk to organizational growth.
In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. The framework gives CIOs and other IT executives a way to demonstrate the ROI on an IT project and how it will help reach key businessobjectives.
Consider the potential return on investment (ROI) based on improved productivity, reduced downtime and enhanced efficiency. Reduce risk, maintain compliance and increase ROI with applications built on 30+ years of market-leading technology.
They convey information between team members and departments to keep communication flowing regarding goals and businessobjectives. Project Reports Projects are key to keeping a business moving in the right direction while keeping innovation and evolution at the forefront of every plan, communication, or campaign.
However, there are a few risks to take into consideration when choosing a SaaS option. By understanding the strengths and limitations of each option, customers can choose the deployment option that meets their businessobjectives. IBM Maximo customers will be required to move to IBM MAS when Maximo 7.x
Well-trained models can ensure that you adhere to predefined rules, standards and guidelines, reducing the risk of errors and eliminating inconsistencies in these narratives. Start with a pilot project that addresses a specific business problem or challenge. Refine your approach further and scale up to other use cases gradually.
To solve this, we use data science tools to identify the right leading indicators across the different levers that we can pull to support faster decisions—using methods that establish causation to the larger businessobjectives of their clients. Establishing a Reliable Data Layer and Breaking Down Silos is the First Step.
According to a recent survey from IBM, many IT leaders appear to be favoring one approach at the risk of missing out on the other. And while organizations have begun to see ROI on AI implementations, those focused on innovation dont expect to see positive financial results from AI projects anytime soon, IBM found.
In our fast-changing digital world, it’s essential to sync IT strategies with businessobjectives for lasting success. Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage.
A PMOs real job, at any level in the organization, is to accelerate strategy delivery in a way that maximizes ROI, not just manage tasks and timelines. Without this upfront alignment, even the best-executed projects risk falling short of delivering meaningful business outcomes. What should an EPMO do?
As AI technologies evolve, organizations can utilize frameworks to measure short-term ROI from AI initiatives against key performance indicators (KPIs) linked to businessobjectives, says Soumendra Mohanty, chief strategy officer at data science and AI solutions provider Tredence.
Without buy-in, AI risks being underutilized or outright rejected, rendering investments ineffective. Without clear guidelines for responsible AI use, organizations risk deploying biased algorithms, mishandling sensitive data, or pursuing problematic use cases that can trigger regulatory penalties and reputation damage, he says.
On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Leaders who adopt a crawl-walk-run approach, with thoughtful risk-taking and a strategic focus on actions and results, maximize the business value from IT modernization.”
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