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Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Gen AI tools are advancing quickly, he says.
At next months Optical Fiber Communication Conference and Exhibition (OFC), many of the technologies that are driving current and future Ethernet development will be on full display by the Ethernet Alliance, which is set to unveil its tenth anniversary Ethernet roadmap.
By 2026, 30% of enterprises will automate more than half of their network activities, according to Gartner. Gartner also points to skill acquisition and development as a driver, because infrastructure and operations leaders need to meet increased expectations of reliability and performance.
For enterprises investing heavily in AI infrastructure, this development addresses a growing challenge. The L200, coming in 2026, will be available in 32 Tbps and 64Tbps versions. Customers can expect the M1000 reference platform in the summer of 2025, allowing them to develop custom GPU interconnects.
billion in 2026 though the top use case for the next couple of years will remain research and development in quantum computing. This means that they have developed an application that shows an advantage over a classical approach though not necessarily one that is fully rolled out and commercially viable at scale.
Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. And were likely to see an increase of tech providers keeping large enterprises top of mind when developing the on-device technologies.
As AI gets built into every application and service, organizations will find themselves managing hundreds or thousands of discrete agents. For example, Microsoft has talked about how AI agents will impact applicationdevelopment. More importantly, they introduce probabilistic computing into our technological foundation, he said.
While the articles focus is on GenAI, many of the strategies discussed here are broadly applicable to other innovations in IT, as they provide CIOs with a flexible framework for balancing costs and opportunities presented by emerging technologies. million in 2026, covering infrastructure, models, applications, and services.
While most provisions of the EU AI Act come into effect at the end of a two-year transition period ending in August 2026, some of them enter force as early as February 2, 2025. It will have to be done by mid-2026, which is a tight timeframe, but Cisco only sees benefits to being part of the AI Pact, Quattrocchi points out.
OEMs that have shipped or are readying AI PCs for 2025 or 2026 include Dell, Acer, Asus, HP, Lenovo, Samsung, and Microsoft. Dell also launched Dell Pro AI Studio, a toolkit that enables developers to make use of NPUs horsepower and the massive memory required for AI models.
Through 2026, 20% of organizations will use AI to flatten their organizational structure, eliminating more than half of current middle management positions. GenAI-enabled virtual assistants, such as ChatGPT, have attracted much attention, but a huge number of GenAI applications and use cases go even further.”
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. To determine which ones will impact the business, organizations must develop an enterprise use case roadmap that prioritizes the highest impact use cases AI use cases.
Networking skills are evolving to keep pace with broader technology trends, and network pros need to proactively develop new competencies in areas such as AI and automation to stay relevant. In the big picture, networking pros must have the skills to enable the integration of new AI applications with the underlying AI infrastructure.
Modern applications and multi-cloud strategies drive digital transformations that make this success possible, and businesses are under pressure to get better and faster at delivering applications and services to their customers, employees, and stakeholders.
One approach would be to create an IT capabilities map, develop data-driven scoring metrics, populating a dashboard, and using the result to construct an IT organizational transformation roadmap. At a rough guess the CIO of an average-size enterprise, following this methodology, would be ready to launch sometime in 2026.
But 2025 and 2026 will bear good news, according to Deloitte. Its newly appointed CEO, Romain Fouache, is bringing Australian retailers a collection of cloud-based technologies, including Product Information Management (PIM), Syndication, and Supplier Data Manager capabilities to rapidly scale the depth and maturity of their AI applications.
based Starfish Space today announced that it has raised $29 million to support the development of its first three Otter orbital servicing vehicles for missions serving the U.S. Last month, Starfish won a study contract from the National Reconnaissance Office to look into further applications for Otter. Space Force, NASA and Intelsat.
By 2026, hyperscalers will have spent more on AI-optimized servers than they will have spent on any other server until then, Lovelock predicts. Even though many device makers are pushing hard for customers to buy AI-enabled products, the market hasn’t yet developed, he adds. Next year, that spending is not going away.
“The explosive growth of hyperscale data centers for GenAI applications is creating an unprecedented demand for power,” Bob Johnson, VP Analyst at Gartner said in the research firm’s latest report. Include significant cost increases for data center services when developing plans for new products and services, Johnson added.
As large enterprise and hyperscaler networks process increasingly greater AI workloads and other applications that require high-bandwidth performance, the demand for optical connectivity technologies is growing as well. Efforts to develop more energy efficient technologies for optical networks and interfaces are also in the works.
Today, key vendors xAI, Meta, IBM, Boston Dynamics, Agility Robotics, Apptronik, Figure.ai, FourierIntelligence, and Sanctuary.ai have plans to develop AI humanoid robots that can reason and adapt. The robot, called Rapid 3PRO, has been under development since September.
Developed specifically for AI work, it can handle large amounts of training data, including sensitive data, and with cloud-based access models, it will be particularly user-friendly. Both industry and academia will have quick access to hardware, training and support for AI applications.
Businesses can start small, training small-scale models, fine-tuning models, or deploying applications like chatbots, natural language search, and using forecasting tools using Nvidia L40S and L4 Tensor Core GPUs,” Badlaney wrote. “As In addition, IBM Cloud includes deployment automation capabilities.
Research firm Gartner is also bullish on network automation, forecasting that 30% of enterprises will automate more than half of their network activities by 2026 , up from only 10% in mid-2023. The software was originally developed by a network engineer at DigitalOcean to automate network provisioning.
The Saudi state-owned oil company has significantly invested in research and development compared to its industry peers, allocating approximately 3.5 Additionally, Aramco has internally developed cybersecurity capabilities to safeguard against cyber threats encountered in recent years.
“With the introduction of Cato MSASE Partner Platform, Cato is making it easier for us to help customers fully deploy SASE or seamlessly shift into a full SASE deployment when they’re ready to do so,” said David Humes II, vice president of product development at US Signal, in a statement. US Signal’s SASE services are powered by Cato.
Enterprise resource planning (ERP) software vendor IFS has agreed to acquire Falkonry, the developer of an AI-based time-series data analytics tool, to boost its enterprise asset management (EAM) services portfolio. billion by 2026, from $3.3 Asset Management Software, Enterprise Applications, Mergers and Acquisitions
Faced with a long-running shortage of experienced professional developers, enterprise IT leaders have been exploring fresh ways of unlocking software development talent by training up non-IT staff and deploying tools that enable even business users to build or customize applications to suit their needs.
Founded in 2022, Inflection AI initially focused on developing Pi, a conversational personal assistant. is designed to enable enterprises to fine-tune AI models using proprietary datasets to create customized, enterprise-specific applications. Previously, Inflection AI’s Pi consumer application operated on Nvidia GPUs.
Many developers faced difficulties porting applicationsdeveloped for a particular computing environment decades ago. Consequently, operating system distributions and underlying infrastructure configurations are abstracted from application programs, allowing them to run correctly and identically regardless of the environment.
As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. Our responsibility as CIOs is certainly to fund and empower work to develop and implement AI tools safely in our workplace.”
Smith and others advise developing a culture of learning as among the best ways to achieve this goal. trillion in delays, quality issues, and revenue loss.” But many enterprises’ training efforts are falling short. Business IT Alignment, Hiring, IT Skills, IT Training , Staff Management
This challenge will become more urgent, as IDC predicts the amount of data created will grow to 221 ZB by 2026 3. . For instance, GPUs are more energy-efficient than CPUs because their memory architecture specializes in supporting high-speed data streaming for intensive applications. High-performance computing and supercomputing.
This challenge will become more urgent, as IDC predicts the amount of data created will grow to 221 ZB by 2026 3. . For instance, GPUs are more energy-efficient than CPUs because their memory architecture specializes in supporting high-speed data streaming for intensive applications. High-performance computing and supercomputing.
In fact, in a recent IDC study , 60% of CIOs stated they are already planning to modify their operating model to manage value, agility, and risk by 2026. Expanding the cloud operating model also sets the stage for better collaboration between network, development, and cloud operations.
It’s following in the footsteps of IBM and Microsoft, which like the German telco have an edge over regular companies contemplating a similar move to Rise in that they have their own clouds in which to host the applications and their own IT services divisions to make the move. Some of them are still running on ECC 6.0,
The text of the EU AI Act was published in the Official Journal of the EU on July 12, 2024, and the set of rules around the development and use of AI tools officially entered force at the beginning of August. Mandatory audits for high-risk AI in areas such as lending, human resources or law enforcement will be required from August 2026.
According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. IDC agrees. At its simplest, MLOps is defined as applying the principles of the DevOps movement to machine learning. The approach works.
trillion by 2026. Process automation: the application, evaluation and monitoring of RPA tools to the processes identified above. Low code software development: enables people with little or no expertise in programming languages to produce software applications by using visual interfaces supported by prebuilt software components.
And while 99% of packages have updated versions available, 80% of application dependencies remain un-upgraded for over a year. Considering that over half of tech providers plan to allocate R&D and investments toward AI and automation through 2026, building IT resiliency is critical, says Rajavel.
Recent breakthroughs in generative AI (GenAI) are reshaping the technological landscape at an unprecedented rate, and IDC forecasts that annual worldwide spending on AI-centric systems will exceed 300 billion USD by 2026. We aim to empower the ICT ecosystem to develop their capabilities and thrive in the ever-evolving digital era.”
The deal could be a significant opportunity for Salesforce, according to Park, as it comes at a time when the average enterprise, especially the large ones, have over 1,000 applications and data sources, which throws up the challenge of cleaning up long-tail data and matching it with core enterprise data.
billion revenue to Bahrain’s GDP by 2026, according to IDC’s Economic Impact study. In turn, Bahrain’s investment in digital transformation, and continued focus on attracting key projects like AWS while developing key sectors as part of its overall growth and diversification plans, acted as an economic force multiplier.
Why Cloud Platforms Matter to Marketing Leaders According to IDC, 89% of marketing campaign management applications in Europe are now cloud based rather than on premises. This is expected to rise to an almost ubiquitous level of 96% by 2026. Hundreds of other closed proprietary vendor cloud solutions are in the market.
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