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Security researchers are warning of a significant global rise in Chinese cyber espionage activity against organizations in every industry. But it was financial services, media, manufacturing, industrials, and engineering that saw the biggest surges in China-linked intrusions last year 200-300% growth rates compared to 2023.
Security researchers are warning of a significant global rise in Chinese cyber espionage activity against organizations in every industry. But it was financial services, media, manufacturing, industrials, and engineering that saw the biggest surges in China-linked intrusions last year 200-300% growth rates compared to 2023.
Company executives are well aware that their businesses need to adapt to keep up with the rapid transformation now taking place. Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. Aligning modernisation with the firm’s business results and corporate vision is another key factor.
According to research by Palo Alto, three-quarters of industrial organisations globally have detected malicious cyber activity in their OT environments. The technology also facilitates network slicing, which allows organisations to create wireless virtual networks for specific applications or departments. The threat is widespread.
In the rapidly-evolving world of embedded analytics and businessintelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?
With over two decades in technology and leadership roles, Sewell, whose identity has been anonymized for this article, was confident her skills and experiences would transfer but felt that her resume might not stand out for industries outside the public sector.
Central to cloud strategies across nearly every industry, AWS skills are in high demand as organizations look to make the most of the platforms wide range of offerings. Oracle skills are common for database administrators, database developers, cloud architects, businessintelligence analysts, data engineers, supply chain analysts, and more.
Company executives are well aware that their businesses need to adapt to keep up with the rapid transformation now taking place. Two things play an essential role in a firms ability to adapt successfully: its data and its applications. Aligning modernisation with the firms business results and corporate vision is another key factor.
The rebranding of businessintelligence (BI) platform vendor MicroStrategy that will see the firm aggressively plug Bitcoin comes with significant risks as a result of the digital currencys volatility and the regulatory uncertainties surround the cryptocurrency market, an industry analyst said Thursday.
Its the same story across all industries. But organizations within the energy industry are in an especially precarious situation. Thanks to the sheer volume of asset information within the energy industry, these organizations are especially poised to capture those benefits.
If last years Huawei Industrial Digital and Intelligent Transformation Summit was about exploring the opportunities and challenges of industrialintelligent transformation, the 2025 edition was about how rapid AI development has changed the landscape. The threshold for AI application is also gradually decreasing.
While technology trends come and go, the SaaS industry has been a core buyer priority and industry growth engine for 25+ years. However, its crucial to remember that the SaaS market is a $300B+ industry , projected to reach nearly a trillion dollars with low double-digit growth for years to come.
The new microservices aim to help enterprises improve accuracy, security, and control of agentic AI applications, addressing a key reservation IT leaders have about adopting the technology. Briski noted theyre ideal for scaling AI applications in industries such as healthcare, automotive, and manufacturing.
The excitement has faded so much that the IT analyst firm may not release another hype cycle chart for blockchain, says Adrian Leow, vice president in Gartners applications and software engineering leaders group. Most of us agree that while its an exciting idea , its real-world applications are still limited, Mikadze adds.
This change in business focus is accompanied by an ongoing digital transformation. From COBOL to EVs: The scope of bps digital initiatives As the energy industry goes through multiple mergers and acquisitions over the years, it deals with a wide spectrum of digital apps, legacy systems, and business processes across its functions.
For example, a company could have a best-in-class mainframe system running legacy applications that are homegrown and outdated, he adds. In the banking industry, for example, fintechs are constantly innovating and changing the rules of the game, he says. No one wants to be Blockbuster when Netflix is on the horizon, he says.
Vendor support agreements have long been a sticking point for customers, and the Oracle Applications Unlimited (OAU) program is no different. That, in turn, can lead to system crashes, application errors, degraded performance, and downtime. Understanding your current security posture.
Cloud security takes center stage As businesses migrate more applications and data to the cloud, securing these resources becomes paramount. Zero Trust Network Access will become the standard for secure application access control, not just network access. SD-WAN layered with AI has a role to play here.
They are using the considerable power of this fast-evolving technology to tackle the common challenges of cloud modernization, particularly in projects that involve the migration and modernization of legacy applications a key enabler of digital and business transformation. In this context, GenAI can be used to speed up release times.
With more than 10,000 attendees expected, Dubai AI Week will unite public and private sector leaders, innovators, and experts to explore AIs potential across industries. The Machines Can See summit will address the role of AI in sustainability and safety, exploring its applications in environmental conservation and public infrastructure.
We’ve all heard about how difficult the job market is on the applicant side, with candidates getting very little response from prospective employers. These tools help people gain theoretical knowledge,” says Raj Biswas, global VP of industry solutions. But the hiring side isn’t much easier.
These tools enable employees to develop applications and automate processes without extensive programming knowledge. Additionally, while these tools are excellent for simple applications, they might not be suitable for more complex systems that require specialized IT expertise. Contact us today to learn more.
Leaders across every industry depend on its resilient cloud platform operated by a team of industry veterans and experts with extensive networking, connectivity, and security expertise. These ensure that organizations match the right workloads and applications with the right cloud. It also offers exceptional transparency.
By moving applications back on premises, or using on-premises or hosted private cloud services, CIOs can avoid multi-tenancy while ensuring data privacy. Even after organizations use tools such as RedHats InstructLab to augment those industry-specific models with company-specific data, theyre still small by comparison.
At its Microsoft Ignite 2024 show in Chicago this week, Microsoft and industry partner experts showed off the power of small language models (SLMs) with a new set of fine-tuned, pre-trained AI models using industry-specific data. The company notes that customers can also use the models to configure agents in Microsoft Copilot Studio.
In addition, weve seen the introduction of a wide variety of small language models (SLMs), industry-specific LLMs, and, most recently, agentic AI models. In fact, business spending on AI rose to $13.8 The rise of vertical AI To address that issue, many enterprise AI applications have started to incorporate vertical AI models.
For example, a legacy, expensive, and difficult-to-support system runs on proprietary hardware that runs a proprietary operating system, database, and application. The application leverages functionality in the database so it is difficult to decouple the application and database.
Outdated software applications are creating roadblocks to AI adoption at many organizations, with limited data retention capabilities a central culprit, IT experts say. If the application itself is legacy, with bad code stored in different places, all sorts of problems can come from the app itself, he adds.
Prepare for general use of AI Vendors are integrating AI into their most popular applications. AI-empowered enterprise applications will change the way people work. AI models will be developed differently for different industries, and different data will be used to train for the healthcare industry than for logistics, for example.
The past year was filled with big IT news: The hype surrounding AI and its widespread adoption, huge numbers of tech industry layoffs , major cyberattacks , and major mergers. At the same time, the departments overhaul of the FAFSA form created delays in the financial aid application process.
For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS). Learn more about IDC’s research for technology leaders OR subscribe today to receive industry-leading research directly to your inbox.
Company executives are well aware that their businesses need to adapt to keep up with the rapid transformation now taking place. Two things play an essential role in a firms ability to adapt successfully: its data and its applications. Aligning modernisation with the firms business results and corporate vision is another key factor.
Later, as an enterprise architect in consumer-packaged goods, I could no longer realistically contemplate a world where IT could execute mass application portfolio migrations from data centers to cloud and SaaS-based applications and survive the cost, risk and time-to-market implications.
CIOs and other executives identified familiar IT roles that will need to evolve to stay relevant, including traditional software development, network and database management, and application testing. These skills, along with the knowledge of how to use emerging technology, will empower you regardless of industry, role or company.”
The 15th Global Mobile Broadband Forum (MBBF 2024) in Istanbul has brought together top industry leaders to explore the transformative potential of 5.5G and artificial intelligence (AI). infrastructure and AI-powered applications. Under the theme “5.5G billion unique connections,” he said. Forum attendees explored various 5.5G
To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Operational AI involves applying AI in real-world business operations, enabling end-to-end execution of AI use cases. This is where Operational AI comes into play.
Business leaders dont need to be technology experts to grasp this shift; they need vision and urgency. As a business executive who has led ventures in areas such as space technology or data security and helped bridge research and industry, Ive seen first-hand how rapidly deep tech is moving from the lab into the heart of business strategy.
trillion in 2024, according to The Business Research Company. Acumatica already offers industry-specific editions of its cloud ERP software for construction, manufacturing, distribution, and retail, and now sees the time as ripe to adapt it for a new market.
This enables use cases such as near real-time disaster recovery over photonics-based links in industries like banking and finance, vehicle-to-vehicle communication in an autonomous vehicle scenario, and real-time edge-to-data center connections for robotics applications in factories, or at remote sites in mining or oil and gas industries.
Facing increasing demand and complexity CIOs manage a complex portfolio spanning data centers, enterprise applications, edge computing, and mobile solutions, resulting in a surge of apps generating data that requires analysis. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
If you have modest AI ambitions, in an industry that isn’t being remastered by AI yet, you can afford to go at a more measured pace. For those organizations with bigger AI ambitions, or in an industry that’s being reinvented by AI, the pace will be faster. This is an AI-steady pace. This is an AI-accelerated pace.
The proliferation of open-source AI models more than 1 million are currently listed on the Hugging Face portal is driving innovation particularly at the application end. We can expect attention to shift this year from model developers to those building businessapplications harnessing this low-cost environment for innovation.
A Rocket Software survey found that over half (51%) of IT leaders rely on mainframe systems to handle all, or nearly all, core businessapplications. To ensure their systems are secure without sacrificing the benefits of open-source development, businesses must make their way toward continuous monitoring.
OpenAI is leading the pack with ChatGPT and DeepSeek, both of which pushed the boundaries of artificial intelligence. Amid this AI arms race, OpenAIs latest trademark application with the United States Patent and Trademark Office (USPTO) shows that the organization has other goals beyond LLMs.
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