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The rise of the cloud continues Global enterprise spend on cloud infrastructure and storage products for cloud deployments grew nearly 40% year-over-year in Q1 of 2024 to $33 billion, according to IDC estimates. This is a form of advanced convergence achieved by following specific methodologies.
Leaders are putting real dollars behind agents, but with mounting pressure to demonstrate ROI, getting the value story right is critical. High expectations, but ROI challenges persist Despite significant investments, only 31% of organizations expect to measure generative AIs return on investment in the next six months.
Controlling costs According to Gartner, more than 90% of CIOs surveyed in 2024 believed that managing costs limited their ability to get value for the enterprise from their AI investments. Measuring AI ROI As the complexity of deploying AI within the enterprise becomes more apparent in 2025, concerns over ROI will also grow.
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. Lets begin by examining the specific cost-related concerns CIOs face when adopting GenAI technologies.
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Many organizations have struggled to find the ROI after launching AI projects, but there’s a danger in demanding too much too soon, according to IT research and advisory firm Forrester. Measure everything Looking for ROI too soon is often a product of poor planning, says Rowan Curran, an AI and data science analyst at Forrester.
Public SaaS companies have seen their valuations compress, with small-cap SaaS significantly underperforming broader market indices in 2024. The appeal of vertical SaaS lies in its ability to provide out-of-the-box solutions that require minimal customization, leading to faster implementation times and quicker ROI.
In a survey of 451 senior technology executives conducted by Gartner in mid-2024, a striking 57% of CIOs reported being tasked with leading AI strategies. However, the real challenge lies in identifying the right use cases where AI can enhance performance and deliver measurable project outcomes that justify the investment.”
An IDC study found that usage of generative AI jumped from 55% of surveyed companies in 2023 to 75% in 2024. Artificial intelligence: Driving ROI across the board AI is the poster child of deep tech making a direct impact on business performance. in returns for every $1 invested , with some seeing over $10 in ROI.
Proving the ROI of AI can be elusive , but rushing to achieve it can prove costly. Set clear, measurable metrics around what you want to improve with generative AI, including the pain points and the opportunities, says Shaown Nandi, director of technology at AWS.
IDC’s Sustainability Readiness Index Survey (August 2024) found that 32% of businesses have created strategic road maps, while 26% have begun embedding sustainability into their operations and 20% say that sustainability has become the “new normal.” There is no denying that environmental sustainability is top of mind for many companies today.
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. Massive growth in proven use cases This year, weve seen some use cases proven to have ROI, says Monteiro.
As bots were developed, deployed and improved, Verint took its initial argument about identifying specific, immediately helpful use cases and added the critical element of ROI. It will be interesting to see how Verint quantifies Genie’s value in ROI terms, as it does for the rest of the bot portfolio. Regards, Keith Dawson
Newly released research from SASs Data and AI Pulse Survey 2024 Asia Pacific finds that only 18% of organisations can be categorised as AI leaders, where the organisation has an AI strategy and long-term investment plans in place. These ROI expectations exist despite many surveyed organisations not having a clear AI strategy.
Similarly, Deloittes 2024 CxO Survey highlights that while CDOs prioritize AI and business efficiency, sustainability remains a secondary focus. Complexity of measuringROI : Unlike traditional business metrics, sustainability initiatives are often difficult to quantify in direct financial terms.
AI promises cost savings, productivity improvements, and better customer experiences, but CIOs need to figure out how to calculate the ROI , McDonald said. Data centers shoulder the load To support AI workloads, spending on data center systems will increase by 10% in 2024, Gartner predicted, compared to a 4% increase in 2023.
One component of corporate IT that has long been ‘in range’ for cyber criminals that is often overlooked when protection measures are being put in place are multifunction printers – widely used in almost every organisation. Fortunately, there are tools available to deal with the specific security challenges presented by printers.
Kenneth Gonzalez, Head of Analyst Relations, Freshworks, highlights some key findings from Freshworks’ Freshservice IT Service Management Benchmark Report 2024 (FBR 2024) , which surveyed more than 9,400 organizations across over 100 countries, that corroborates the value of generative AI in ITSM.
AI agents can, for example, handle customer service issues, such as offering a refund or replacement, autonomously, and they can identify potential threats on an organization’s network and proactively take preventive measures. Agents driving ROI Agentic AI can deliver value to organizations struggling to find the ROI in gen AI, adds Dunaev.
“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 business objectives mirror the top directives CEOs are giving their CIOs, according to the 2024 State of the CIO Study from Foundry, publisher of CIO.com.
The strategy unfolded through careful planning, leveraging technology to enhance the taxpayer experience and ensuring robust cybersecurity measures. IDC, 2024 Implement these phases: Inventory: Maintain an up-to-date application inventory and set objectives. Now, let’s delve into the concrete steps and strategies.
According to IDC research, edge computing is growing worldwide at 15% annually and will reach $232 billion in 2024. To that end, IT leaders should perform a careful analysis of ROI before, during, and after an edge implementation. Despite challenges, the move to the edge is gathering steam. AI is a significant driver.
Looking ahead to the next 12-18 months, two top priorities emerge for IT leaders: developing a strong business case for AI infrastructure spending (cited by 35% of respondents to IDC’s Future Enterprise Resiliency and Spending Survey, Wave 3 , March 2024) and increasing cyber resilience and security (34%).
million by 2024, a CAGR of 25.8% from 2019 to 2024. Fraud is one of the use cases where technology has made a huge, measurable difference: focusing on fraud detection and prevention, Emerj reports insurers have seen ROIs of up to 400% on their investments in fraud technology. . million in 2019 to $7.9
Salesforce’s findings gibe with IDC’s Worldwide C-Suite Survey 2023-2024 , released in September. IT leaders say that the requirements for successful gen AI use include accurate, complete, and unified data (55%); enhanced security measures to avert new threats to the business (54%); and ethical use guidelines (30%).
“A typical candidate for the CAIO role is someone with a proven track record of leading successful innovation programs and with a clear understanding of AI,” says David Weldon, adjunct research advisor with IDC’s Executive Programs (IEP) in IDC PlanScape: Chief AI Officer Role (May 2024).
In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. times higher ROI. times higher ROI.
Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. However, it’s likely that organizations will find it difficult to compete without some level of cloud maturity, since 70% of workloads will be on the cloud by 2024, according to Gartner.
Nearly all respondents reported promising early results from gen AI experiments and planned to increase their spending in 2024 to support production workloads. 46% of survey respondents in 2024 showed a preference for open source models. A key trend is the adoption of multiple models in production.
Nearly half of CIOs and close to a third line-of-business managers have cited AI and machine learning as the most strategically important area of concern this year, according to Foundry’s 2024 State of the CIO Study. An ROI-based value generation approach is the key to a successful adoption of this innovation journey.
AI-driven ROI: Businesses must grow their focus on demonstrating tangible returns from AI investments, integrating advanced analytics to measure performance, optimise operations, and drive decision-making.
First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link?
So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. Show me the ROI.” How do I make sure I can manage risk?”
The 2024 Board of Directors Survey from Gartner , for example, found that 80% of non-executive directors believe their current board practices and structures are inadequate to effectively oversee AI. How does our AI strategy support our business objectives, and how do we measure its value? What ROI will AI deliver?
Deloitte surveyed 2,773 director- to C-suite-level respondents experienced with AI, piloting, or implementing gen AI for the Q4 survey between July and September 2024. Deloitte found almost all organizations had measurableROI for their gen AI efforts over the course of the year, with 20% of respondents generating an ROI of 31% or more.
Opt for tools requiring minimal training to produce meaningful visualizations for wider adoption and better ROI. Evaluate the pricing structure against features and potential ROI. Intuitive interfaces that facilitate quick learning and efficient tool use can greatly boost productivity. Keen to explore the full potential of BI tools?
Gen AI moved past hype and proved its worth ChatGPT and the generative AI revolution marked their second anniversary in November 2024. Given this excitement, there have been higher, sometimes unrealistic, expectations in terms of the ROI and timing of the returns. Heres what they say.
If 2023 was the year of experimentation with gen AI, 2024 was when companies zeroed in on use cases and started putting pilot projects into production. In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI.
Half of CFOs say they plan to cut AI funding if it doesnt show measurableROI within a year, according to a global survey from accounts payable automation firm Basware, which included 400 CFOs and finance leaders. CIOs are under pressure to validate AI investments and assure CFOs of a clear path of implementation that will ensure ROI.
For example, metrics like the percentage of missing values help measure completeness, while deviations from authoritative sources gauge accuracy. Another significant advantage is the ability of these dashboards to provide ROI-driven insights. Timeliness can be assessed by tracking the alignment of data updates with business timelines.
Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.
Nearly all tech surprises last year were related to gen AI, which was so hyped in 2023 that every organization had to try it in one or more projects in 2024. Given everything that was learned in 2024, it would be a shame for CIOs not to commit to three things that could help them prepare for the year ahead.
According to IDCs Future Enterprise Resiliency and Spending Survey, Wave 4 , April 2024, the most significant factors limiting further evaluation or expanded use of GenAI are lack of skills and a lack of clear use cases or initial offerings that align with business needs.
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