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As the chief research officer at IDC, I lead a global team of analysts who develop research and provide advice to help our clients navigate the technology landscape. Our research indicates a scramble to identify and experiment with use cases in most business functions within an enterprise.
The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. About 524 companies now make up the UK’s AI sector, supporting more than 12,000 jobs and generating over $1.3
More about the research For our primary research, we interviewed more than 2,300 executive and senior IT and business leaders from organisations in 34 countries across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The report identifies that most CEOs view GenAI as transformational.
Tay notes that Accenture research shows that enterprises with digital core investments accelerate their reinvention and innovation, achieving up to 60% higher revenue growth rates and a 40% boost in profits. According to our own research , organizations believe it will take an average of four years to transition to PQC, he notes.
For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. According to Forrester Research, only 8% of marketing professionals have confidence that their data is 90-100% accurate. Not so fast, though.
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. So it’s essential to show the ROI to your business from the management of these costs. Instead, show how leading companies manage it strategically.
Gartner’s research shows that productivity improvements depend heavily on factors such as job complexity, employee experience, and personal engagement with AI tools. And the middle contains the trust, risk, and security management (TRiSM) technologies that make it all safe.”
It’s one of those sayings that sticks around: People quit managers, not jobs. When it comes to why your best IT managers quit, the answer is yes, no, and maybe. But top-tier managers may bail for myriad other reasons, too, even if their own bosses are superstar managers. Because when issues pile up, managers will quit.”
Artificial Intelligence continues to dominate this week’s Gartner IT Symposium/Xpo, as well as the research firm’s annual predictions list. “It It is clear that no matter where we go, we cannot avoid the impact of AI,” Daryl Plummer, distinguished vice president analyst, chief of research and Gartner Fellow told attendees. “AI
The promise of a CRM ( customer relationship management ) led organizations to believe each could digitally transform its businesses through tracking touchpoints throughout the buyer’s journey. It’s no secret, only 13% of salespeople are satisfied with their CRM. The result? Less organization, more confusion, and fewer deals closed.
TIAA has launched a generative AI implementation, internally referred to as “Research Buddy,” that pulls together relevant facts and insights from publicly available documents for Nuveen, TIAA’s asset management arm, on an as-needed basis. When the research analysts want the research, that’s when the AI gets activated.
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.
Some did manage to scale agile and leverage frameworks to create process standards and improve IT practices. As SaaS and other technology companies began to abandon traditional project management, product-based IT became a bold shift to business value. But many enterprises stopped their agile transformations at this layer.
Recent research from IDC, undertaken in partnership with Lenovo, found that 88% of observed POCs dont make the cut to widescale deployment. IT managers are leveraging this trend to try to get greenlights for broader technology efforts, Andersen says. For every 33 AI POCs a company launched, only four graduated to production, IDC found.
of companies achieved a score indicating maturity in data management practices in the space.". Check out this latest report to gain insight into best practices (and benefits) for B2B data management including how: Automating tasks and improving data quality would increase sales staff satisfaction and productivity. The primary takeaway?
Knowledge management: GenAI helps organize and retrieve organizational knowledge, making it easier for IT professionals to access the information they need to solve problems and learn new skills. Learn more about IDCs research for technology leaders OR subscribe today to receive industry-leading research directly to your inbox.
When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG. Thorogood reports that his organization’s recent research shows that it takes 7.2
Keep reading for a look at key findings from our research, along with tips on how CISOs can apply them to enhance the effectiveness of the security personnel they manage. CISOs should expect to build and manage multiple teams. We also discovered a variety of approaches to organizing reporting structures for security functions.
While the CIO role has expanded significantly, the metrics used to evaluate their performance often remain tied to traditional IT values like cost management, operational efficiency, and system uptime. Here are three key recommendations for CIOs to share with business management: CIO metrics should align with strategic business outcomes.
Whether we label it as customer-centric or product-led depends on how long we've been doing product management. In this webinar, we won't focus on the research methods for discovering user-needs. Attendance of this webinar will earn one PDH toward your NPDP certification for the Product Development and Management Association.
Importantly, where the EU AI Act identifies different risk levels, the PRC AI Law identifies eight specific scenarios and industries where a higher level of risk management is required for “critical AI.” Learn more about IDC’s research for technology leaders OR subscribe today to receive industry-leading research directly to your inbox.
But recent research by Ivanti reveals an important reason why many organizations fail to achieve those benefits: rank-and-file IT workers lack the funding and the operational know-how to get it done. Managed, measured DEX will ease IT’s workload and make staff more productive.
We spoke with several IT leaders for their insights on what might make an IT worker safe or vulnerable in this environment and what steps CIOs can take to build and manage an IT team for survival. Klemenz: “The obvious answer is to become an expert — in data, development, networking, security, project management, something.
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology. Yet research shows Australians are already using AI without formal policies.
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. For the global risk advisor and insurance broker that includes use cases for drafting emails and documents, coding, translation, and client research.
IDC research reveals that security is the number one concern in any sector, be it the enterprise, academia, or government. In addition, Wong noted, the 24 AI Safety and Security Board members, who represent a who’s who in AI, are probably not the best people to ask how to implement an AI risk management system.
Further Gartner research conducted recently of data management leaders suggests that most organizations arent there yet. Two thirds of the organizations included in the study of over 1,200 either dont have the right data management practices for AI or are unsure if they do.
Forrester Research this week unleashed a slate of predictions for 2025. Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Others won’t — and will come up against the limits of quick fixes.”
A number of obstacles stand in the way of IT leaders looking to address their enterprise content management objectives, but two stand out: a proliferation of tools and an inability to effectively integrate them. The result: numerous content silos and point products that don’t talk to one another. “In
Enterprises must reimagine their data and document management to meet the increasing regulatory challenges emerging as part of the digitization era. Research from Drata suggests that companies spend an average of 4,300 hours annually achieving or maintaining compliance. One particular challenge lies in managing “dark data” (i.e.,
In this context, the promises of genAI can be enticing, particularly in IT service management (ITSM). 89% of IT decision-makers are researching, piloting, or currently using AI-enabled technologies, an increase from 72% in 2023 to demonstrate a high level of trust in AI to simplify and streamline tasks.
Now it’s much more in the spotlight as you’ve got machine identity management, non-human identity management, and post quantum cryptography all becoming hot button items that are going to impact security and compliance across the organization. A single physical device can run hundreds of ephemeral workloads.
Imagine a hacker compromising a healthcare database and simply changing the blood type of every individual in a research study or the entire patient population. Risk of compromised data Another major risk issue for executives is compromised data or data contamination. In any scenario, the results would be disastrous.
Conversations and subscriptions A per-conversation model seems to be an emerging approach, says Sesh Iyer, managing director, senior partner, and North America regional chair at BCG X, Boston Consulting Groups IT building and designing group. Vendors could also charge a small price per audio input or output.
In fact, a new report from Forrester Research found that most healthcare organizations are focused more on short-term experimentation than implementing a broader strategic vision for GenAI. The culprit keeping these aspirations in check? It is still the data.
Were still very early in the journey, but its only going to get better, says Dwight Klappich, a research vice president at Gartner. Gonzlez,researchmanager of industrial IoT and intelligence strategiesat IDC. AI is really the brain driving humanoid robots like Agility, Tesla Optimus, and Boston Dynamics Atlas.
“We chose to go with a few technological partners to help us support the many complexities,” he says, referencing Adyen technology to manage online sales and financial flows, obtain customer insights, and protect the business with cybersecurity systems. Snowflake has also made data management much easier for us,” Paleari adds. “We
trillion in 2024, according to The Business Research Company. The new Professional Services Edition of Acumatica’s cloud ERP software includes tools and applications to support resource management, customer relationship management (CRM) , project planning, scheduling, accounting, and time and expense management.
Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions. The AI Revolution in Australian Retail The enthusiasm for AI adoption among Australian retailers reflects a broader transformation in how businesses approach customer experience, inventory management, and operational efficiency.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Key challenges include designing and deploying AI infrastructure, with priorities such as data security (53%), resilience and uptime (52%), management at scale (51%), and automation (50%).
The launch by SAP of new AI capabilities in its SuccessFactors HCM (human capital management) suite Monday is a case of “better late to the party than never,” according to an analyst with Info-Tech Research Group. Is this because the native skills inferencing functionality is subpar? “The
We are fully funded by the Singapore government with the mission to accelerate AI adoption in industry, groom local AI talent, conduct top-notch AI research and put Singapore on the world map as an AI powerhouse. Like any other hiring manager, we started with the traditional route of putting out a job description and trying to recruit.
Cloud and the importance of cost management Early in our cloud journey, we learned that costs skyrocket without proper FinOps capabilities and overall governance. What were seeing is in line with much of the research, including what IDC has published in relation to the costs about compute, cooling and sustainability.
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