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A sharp rise in enterprise investments in generative AI is poised to reshape business operations, with 68% of companies planning to invest between $50 million and $250 million over the next year, according to KPMGs latest AI Quarterly Pulse Survey. However, only 12% have deployed such tools to date.
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. While some of the surveyed employees in the US, the UK, Australia, India, and China reported saving an average of 3.6
By Bryan Kirschner, Vice President, Strategy at DataStax From the Wall Street Journal to the World Economic Forum , it seems like everyone is talking about the urgency of demonstrating ROI from generative AI (genAI). At least as it was reported, it comes across sounding like a flip dismissal of what genAI might have to offer.
The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. What ROI will AI deliver?
Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.
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.
But as enterprises increasingly experience pilot fatigue and pivot toward seeking practical results from their efforts , learnings from these experiments wont be enough the process itself may need to produce more targeted success rates. A lot of efforts are not gen AI, but they are trying to inject some gen AI things into it, he explains.
In our recent report examining technical debt in the age of generative AI , we explored how companies need to break their technical debt down into four categories. 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.
According to a separate study on the AI readiness of Indian enterprises conducted by EY and Indian IT industry body Nasscom, enterprises are also holding back the deployment of AI due to concerns about data security, privacy, brand reputation, and the safety and security of people and equipment.
But this year three changes are likely to drive CIOs operating model transformations and digital strategies: In 2024, enterprise SaaS embedded AI agents to drive workflow evolutions , and leading-edge organizations began developing their own AI agents.
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. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.
Enterprise resource planning (ERP) is ripe for a major makeover thanks to generative AI, as some experts see the tandem as a perfect pairing that could lead to higher profits at enterprises that combine them. At the same time, gen AI will make bill collections faster and cheaper, leading to increased profits, the report adds.
Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. 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. Another area is democratizing data analysis and reporting.
Choose a BI Reporting Tool that Tells You What You Need to Know! The ideal business intelligence and analytics solution includes traditional BI features, modern BI and analytics components and a full suite of reporting capabilities that are easy for your team to use, and will produce clear, concise results for fact-based decision-making.
According to a new IDC report , 98% of business leaders view AI as a priority for their organization and the research firm expects AI to add $20 trillion to the global economy through 2030. So in the short term, employees will have to deal with getting used to a new, limited technology, and companies will have to deal with uncertain ROI.
According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. Proving the ROI of AI can be elusive , but rushing to achieve it can prove costly. That doesnt mean investments will dry up overnight.
Between building gen AI features into almost every enterprise tool it offers, adding the most popular gen AI developer tool to GitHub — GitHub Copilot is already bigger than GitHub when Microsoft bought it — and running the cloud powering OpenAI, Microsoft has taken a commanding lead in enterprise gen AI.
Here are some of the challenges left to resolve in the area of environmental sustainability: Collecting, sharing, and reporting on environmental data: For many organizations, identifying and collecting sustainability data across operations is still a challenge. have their own additional regulations.
In fact, through 2026, more than one-half of enterprises will recognize that modernizing processes will be necessary to capture the data needed to enable new generative AI (GenAI) features that aid in maximizing sales effectiveness to achieve revenue targets.
The top-line good news is that people at all levels of the enterprise seem to be alert to the importance of data quality. Executives see the big picture, not only vis-à-vis operations and strategy, but also with respect to problems—and, especially, complaints —in the units that report to them. Biases, damned biases, and missing data.
Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. More generally, low-quality data can impact productivity, bottom line, and overall ROI. Industry-wide, the positive ROI on quality data is well understood. 4 – Data Reporting.
Investments in AI agent projects are expected to yield orders of magnitude in ROI and business value if companies select high-impact use cases. Forrester, in their Predictions 2025: Artificial Intelligence report, predicted that three-quarters of companies that try to build AI agents in-house will fail. Don’t let that scare you off.
When an enterprise wishes to implement augmented analytics and business intelligence, and make these tools available to its business user community, it must select a solution that uses natural language processing (NLP) search capabilities to allow business users with average technical skills to gather and analyze data and achieve results.
Resilience frameworks have measurable ROI, but they require a holistic, platform-based approach to curtail threats and guide the safe use of AI, he adds. 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.
When I reviewed highlights from last year’s Splunk.conf22 conference in my summary report at that time, I focused a lot on the Splunk Observability Cloud and its incredible suite of Observability and Monitoring products and services. as likely to say that their ROI on observability tools far exceeded expectations.
With the AI revolution underway which has kicked the wave of digital transformation into high gear it is imperative for enterprises to have their cloud infrastructure built on firm foundations that can enable them to scale AI/ML solutions effectively and efficiently.
However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Limited representation of sustainability in CDO priorities A review of industry reports, surveys and conference agendas suggests that sustainability remains a niche topic within the data leadership community.
Or even better: “Which marketing campaign that I did this quarter got the best ROI, and how can I replicate its success?”. Giving the most ROI? How will they apply your reports? Knowing the answers will help you to decide how detailed your data report will be and what data you should focus on. Driving revenue?
A new breed of AI assistant has set its sights on the enterprise user in recent months, with Microsoft and other vendors promising huge productivity gains that offset the cost. The enterprise version of Gemini, Google’s AI assistant, is similarly priced. The ROI of AI assistants is also difficult to measure for many jobs, she adds.
These narratives are taking hold because they capture the imagination faster than anybody actually double-clicking into the technical report, because when they see the details, theyre less glamorous than the headlines made them out to be. Thats not to disregard DeepSeeks innovations, however.
A more operational, business-specific way of leveraging generative AI is beginning to take shape in the form of AI agents that quietly work behind the scenes, moving beyond gen AI’s creational capabilities toward autonomous decision-making in enterprise workflows. In many cases, gen AI still requires significant human intervention, he says.
Business and Market Requirements As organizations and business users embrace analytics, the need for new types of visualization, reporting and features changes quickly. So, it is no surprise that analytics software and tools are also affected by this trend.
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. Lack of resources/expertise.
And Doug Shannon, automation and AI practitioner, and Gartner peer community ambassador, says the vast majority of enterprises are now focused on two categories of use cases that are most likely to deliver positive ROI. Classifiers are provided in the toolkits to allow enterprises to set thresholds. “We
All the analysts agree that were now entering into the tortoise phase of AI, moving from exploration to construction, and that 2025 will be the year of Enterprise AI adoption. First, the hare: Depending on the survey, around 30% of professionals say they use AI at work on a regular basis.
Year 3: Integrate with the business and the GL The final stage is full cost transparency at the enterprise level. It means embedding this allocation logic into your general ledger to automate reporting and show real-time ROI. Done right, this is the holy grail: product-level TCO, enterprise-wide. Always up to date.
UKs largest privately-owned produce supplier aims to improve its enterprise performance management (EPM) capabilities RALEIGH, N.C. JustPerform provides an all-in-one planning, forecasting, and financial close companion that enables finance teams to collaborate seamlessly, close faster, report accurately, and make confident decisions.
SaaS is less robust and less secure than on-premises applications: Despite some SaaS-based teething problems or technical issues reported by the likes of Google, these occurrences are incredibly rare with software as a service applications – and there hasn’t been one major compromise of a SaaS operation documented to date.
Enterprises did not rethink their companies or models to thrive in what was quickly becoming a digital-first world. For example, in my 2017 “ State of Digital Transformation ” report, I learned that only 37% of businesses viewed digital transformation as an investment in the fight against market evolution and disruption.
“The interest in AI that began last year has turned into frenzy as organizations grow even more convinced of its potential to automate everything from business processes and decision-making to software development to creating written content,” Foundry writes in its 2024 CIO Tech Priorities report. That is truly disruptive.”
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. Find out what is working, as you don’t want to totally scrap an already essential report or process. You should be continually measuring and refining your processes, data and reports.
Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8
That’s not hyperbole: TEKsystems’ 2024 State of Digital Transformation report found that 53% of organizations classified as digital leaders are confident that their digital investments will meet expected ROIs. Digital Transformation, Enterprise Applications, IT Strategy, Software Development
People want to see it be real this year,” says Bola Rotibi, chief of enterprise research at CCS Insight. Ready to roll It’s shorter to make a list of organizations that haven’t announced their gen AI investments, pilots, and plans, but relatively few are talking about the specifics of any productivity gains or ROI.
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