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There are many areas of research and focus sprouting from the capabilities presented through LLMs. A company that adopts agentic AI will gain competitive advantages in innovation, efficiency and responsiveness and may become more agile in operations. In 2024, a new trend called agentic AI emerged.
New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology. “By
At a time when technology innovation cycles are getting shorter, we will struggle to keep pace if we have to navigate around legacy systems that act as barriers to speed and agility. Over time the speed and agility barriers associated with the ERP spread to other systems as they, in turn, formed an expanding wave of technical debt.
With growing concerns over advanced threats, VPN security issues, network complexity, and adversarial AI, enterprises are showing increased interest in a zero trust approach to security and moving away from firewall-and-VPN based architecture.
Technology investments, such as in generative AI, are a priority in addressing the need to meet rising expectations while also driving operational agility and resilience. He advises beginning the new year by revisiting the organizations entire architecture and standards. Are they still fit for purpose?
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. What part of the enterprise architecture do you need to support this, and what part of your IT is creating tech debt and limiting your action on these ambitions?
More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprise architecture journey are detailed in IDC PeerScape: Practices for Enterprise Architecture Frameworks (September 2024).
According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1]
Fresh research from PWC has found that CIOs are far less likely to say that the IT function is prepared for reinvention, compared to 2023. Forresters researchers looked specifically at Security Service Edge (SSE)the category that describes the convergence of cloud-native network and data security servicesfrom Netskope.
These outdated systems are not only costly to maintain but also hinder the integration of new technologies, agility, and business value delivery. It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system. Contact us today to learn more.
Since these technology solutions can’t scale without a modular, well-architected foundation of platform services, she’s set her sights on moving from a set of customized and packaged software to a more modern architecture. We need our architecture to help deliver on that intent.” My team is very proactive and customer-focused.
In the realm of systems, this translates to leveraging architectural patterns that prioritize modularity, scalability, and adaptability. Headless, composable architectures are helping businesses select best-of-breed products and compose them into a system that aligns with business goals. What is a composable architecture?
Without the right cloud architecture, enterprises can be crushed under a mass of operational disruption that impedes their digital transformation. What’s getting in the way of transformation journeys for enterprises? Unfortunately, research shows otherwise.
According to BMC research in partnership with Forbes Insight , more than 80% of IT leaders trust AI output and see a significant role for AI, including but not limited to generative AI outputs. Research respondents believe AI will positively impact IT complexity and improve business outcomes.
The complexity of IT and security infrastructure was highlighted as the greatest obstacle to achieving cyber resilience according to new research, Unlock the Resilience Factor from Zscaler. First and most importantly, it removes IT and cybersecurity complexitythe key impediment to enhancing cyber resilience.
If you think you’re keeping up, think again: One recent study from research firm Gartner found that the majority of CEOs (59%) say digital initiatives take too long and 52% take too long to realize value. The pressure is on to accelerate digital transformation, according to CIOs, researchers, and analysts.
More than ever, senior tech executives must be aware that today, technology is no longer just a function that enables business processes, but in many companies, it is becoming the product, says Jaime Capella, distinguished vice president of CIO research at Gartner. But, he adds, they still need to instill architectural awareness.
Hot technologies for banks also include 5G , natural language processing (NLP) , microservices architecture , and computer vision, according to Forrester’s recent Top Emerging Technologies in Banking In 2022 report. 5G aids customer service.
According to its 2023 research paper Total Enterprise Reinvention , “only 8% of companies are moving to adopt a strategy of Total Enterprise Reinvention.” This reinvention goes beyond the adoption of cloud, agile development principles, and cutting-edge technologies. They’ve become product-centric or use-case centric,” he says.
Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.
In IDCs April 2024 CIO Poll Survey of 105 senior IT professionals and CIOs, developing better IT governance and enterprise architecture emerged as one of the top priorities for 2024, ranking fourth. Centralized governance often results in slower decision-making processes, as decisions are concentrated at the top levels, stifling agility.
Some are rebalancing how they resource, replacing longstanding outsourcing arrangements with a concerted effort to build out internal competencies in areas such as agile development or DevSecOps or for technologies that have become integral to core business functions, notes Jim Alkone, CEO of Oleria, which markets security software.
The discipline of enterprise architecture (EA) is often criticized for forcing technology choices on business users or producing software analyses no one uses. But the practice of EA is booming today, and architects of any description are hard to find and “incredibly expensive,” says Gartner Research VP Marcus Blosch. .
In today’s rapidly evolving digital landscape, agility is no longer just a buzzword — it’s a business imperative. This dynamic framework offers CIOs a powerful tool to continually optimize their technology portfolios, ensuring their organizations remain agile, efficient, and future-ready. This phase maximizes long-term value.
“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As
Product leaders must define a vision statement , research end-user needs, and propose roadmaps. They partner with agile delivery leaders responsible for delivering releases on time and meeting quality standards, including non-functional security, performance, and reliability acceptance criteria.
APMR is key to maintaining agility in today’s fast-changing digital landscape. Embrace cloud-native technologies and agile methodologies Leverage cloud computing : Utilize the scalability, security, and cost benefits of cloud computing for modernized applications. Learn more about IDC’s research for technology leaders.
Consider adopting microservices architecture to make systems more flexible and easier to automate. Apply business-centric thinking: Manage deep automation as a business transformation, prioritizing agility and resilience over mere cost optimization. Learn more about IDC’s research for technology leaders.
The program begins April 12 and will cover aspects of cloud innovation and agility, with Jessica Groopman, founding partner at Kaleido Insights , kicking off the day with a look at three macrotrends reshaping cloud and software innovation. She will also field questions in a live discussion.
Increasingly, innovation relies on the key tenets of agility and speed. But CIOs grapple to reconcile advancing agility and speed with the complexities of managing multicloud and sprawling edge environments built on disparate standards and formats. That is where a universal storage layer comes in.
Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. The talent shortage is particularly acute in two key areas, says Arun Chandrasekaran at Gartner.
automation, integration): 41% Improving employee productivity: 27% Improving profitability: 24% New product development: 22% Enhancing hybrid work technologies: 21% Increasing topline revenue for the business: 20% Meeting compliance requirements: 19% Other researchers have found similar trends in IT spending.
Following are the roles companies are most likely to have added to support their cloud investments, according to Foundry’s research. Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership.
While interviewing 22 CIOs, Constellation Research analyst Dion Hinchcliffe learned that CIOs who incorporated private clouds found them 65% more performant, 50% less expensive, and twice as agile for application development and DevOps cycles compared to similar workloads running in public clouds 2. Cloud rebalancing or optimization?
The demand for high agility and time to market is creating a compelling case for critical portions of their portfolios to be transformed to a more cloud-native form-factor.”. Research firm Gartner has said a cloud center of excellence “is the best-practice approach to drive cloud-enabled transformation.” If they haven’t, they should.
And it is the chain’s hefty multicloud architecture, anchored by Aviatrix’s cloud networking and Equinix’s interconnection technology, that enables Turner to bring the hotel empire much closer to its key customers — business and leisure guests, as well as hotel owners.
For research institutions, a solid IT foundation can prove to be the difference in delivering meaningful results for scientific endeavors — and thereby in securing valuable funding for further research. They have an agile infrastructure. We identified Google as being well aligned with us strategically,” says Gunkel.
By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Layering technology on the overall data architecture introduces more complexity. Waves of change There are waves of change rippling across data architectures to help harness and leverage data for real results.
Digging through research examining the impact of standard conventions like siloed teams and staged gate processes, Arooni began percolating ideas for how to shift IT organizations away from the traditional project-oriented culture to something more agile, with greater business accountability and more responsiveness to changing customer needs. “If
What: Transformed to an agile-first culture that empowers employees to innovate and deliver for customers. But 2016 was the start of a turbulent period for the company; having to defend itself against a hostile acquisition attempt, it struggled to sustain both research and development (R&D) investment and customer and employee confidence.
Companies that make effective use of dashboards are more likely to succeed at digital transformation, according to a new brief from the MIT Center for Information Systems Research. CISR researchers recommend staying persistent on dashboard usage given that, like most cultural shifts, there will be resistance to their introduction.
To ensure that brands and marketers are empowered with modern, scalable, and agile solutions to meet consumer and business demand for engagement, Sitecore, a global leader in end-to-end digital experience software, has released Sitecore Experience Manager (XM) Cloud. Consumer behavior has changed rapidly over the past two years.
There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums.
DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. Research firm Gartner further describes the methodology as one focused on “improving the communication, integration, and automation of data flows between data managers and data consumers across an organization.” What is DataOps?
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