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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.
She started out as senior director of engineering and climbed the ranks to excel at numerous positions, including senior vice president and general manager of Ciscos Cloud, Compute, and IoT business, chief strategy officer, and general manager of applications. She has worked in media, communications, and networking industries.
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.
Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses – they need to keep pace with the challenges facing trade and commerce nowadays. That’s why the issue is so important today.
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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.
Alcatel-Lucent Enterprise (ALE) has partnered with Celona to offer a turnkey private 5G package for industrial or IoT networks. The Private 5G solution offers large-area wireless coverage, secure and reliable high-speed mobility, supporting real-time, critical industrialapplications, ALE stated.
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.
Two things play an essential role in a firms ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses they need to keep pace with the challenges facing trade and commerce nowadays. Thats why the issue is so important today.
Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face. Learn how you can bring your own LLM or SLM and enhance your application with embedded analytics and BI powered by Logi Symphony.
The Ethernet Alliances roadmap references the consortiums 2024 Technology Exploration Forum (TEF), which highlighted the critical need for collaboration across the Ethernet ecosystem: Industry experts emphasized the importance of uniting different sectors to tackle the engineering challenges posed by the rapid advancement of AI.
At the other end of the speed spectrum, the Ethernet Alliance also produced the first Single Pair Ethernet plugfest to advance seamless interoperability for products and services designed for 10BASE-T1L applications. Ethernet Alliances Rodgers noted that the industry has already begun to chart the path toward 3.2Tb and 400G/lane Ethernet.
adding support for Agilex 3 and Agilex 5 FPGA development for AI inferencing using familiar industry-standard frameworks like TensorFlow and PyTorch along with OpenVino. Agilex 3 FPGAs also support multi-arm robots with multi-axis arms by using machine learning capabilities.
Robbins said Cisco is seeing some enterprise customers begin to build applications in the healthcare industry and manufacturing world. Customer service is a real common application. We were talking about contact center. AI creates a massive demand for infrastructure, he said.
In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. But with Logi Symphony, these challenges become opportunities. But with Logi Symphony, these challenges become opportunities.
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 industrial intelligent transformation, the 2025 edition was about how rapid AI development has changed the landscape. The threshold for AI application is also gradually decreasing.
A pivotal win in a competitive market The deal was finalized in late 2024, and came after a rigorous bidding process that saw HPE competing against industry heavyweights Dell and Supermicro, Bloomberg reported. HPE declined to comment to Network World on the development. Analysts believed Musk would go with Dell for future such requirements.
Its aimed at businesses and developers who need accurate and scalable transcriptions for applications like call centers, video captioning, voice assistants and more. The ability to fine-tune models to accommodate industry-specific jargon. It can transcribe multiple languages and distinguish between speakers.
USMT is a toolkit and specifically won’t transfer applications, a mismatch between IT needs and USMT functionality. The survey asked participants about implementation difficulty, application transfers, vendor assistance, IT labor costs, and technical support.
In a video presentation also released on Monday, Neven added that this weeks breakthrough means that practical commercial applications are as close as five years away. Industry reality check Googles achievement might seem impressive, but industry experts warn that theres still a long way to go before practical use of quantum computers.
And, the company said in its The State of the Enterprise Edge report presenting the survey, the top benefits respondents plan to achieve by implementing edge solutions are faster response times for latency-sensitive applications (68%) and improved bandwidth/reduced network congestion (65%). The way that they use the network is different.
Expect GTC 2025 to further solidify Nvidias position as an AI leader as it showcases practical applications of generative AI, moving beyond theoretical concepts to real-world implementations. You can also expect a focus on edge AI.
OpenTelemetry, or OTel, addresses a key pain point for network managers who must prevent network outages and maintain high levels of application performance across increasing complex and opaque multi-cloud environments. And traces provide visibility into application layer performance in distributed cloud environments.
Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo
Basic search: Easily search using keywords, job title, location, industry, and more. Export results: Easily export candidate data (including contact info) to Excel, shared with colleagues to review or upload in bulk to a recruiter's applicant tracking system. We have added 10's of millions of personal emails and mobile records.
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. This change in business focus is accompanied by an ongoing digital transformation.
Our vision is to be the platform of choice for running AI applications, says Puri. The system integrator has the Topaz AI platform, which includes a set of services and solutions to help enterprises build and deploy AI applications. The updated product also has enhanced security features, including LLM guardrails. I have no idea.
Applications and software: Manage applications software, understand the components of operating systems, and explain the purpose of methods of application architecture. Database fundamentals: Explain database concepts, structures, and purpose and understand methods used to interface with databases.
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.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
Whether you're a seasoned CTO or an industry trailblazer, this webinar will help make your product ready to meet the competition by adopting an architecture that is optimized for innovation. In this webinar, you will learn how to: Take advantage of serverless application architecture.
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.
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.
Companies have historically secured OT systems which include physical security controls, HVAC systems, industrial control systems like factory automation equipment, and medical scanning equipment by air-gapping them. Enterprises also want to extract data from OT systems, which requires network connectivity.
But companies are facing challenges when it comes to integrating the components required to run AI applications, as well as moving from experimentation to deployment. AI applications need to live as close as possible to their data, she says.
These failures can also significantly erode human trust in AI, rendering it ineffective for real-world applications in many industries. This could mean a catastrophic failure by the system down the line, especially without proper guardrails. With the rising stakes, AI systems must be built to be humble, just like humans.
Low latency drivers The biggest impact of 6G will be healthcare, industrial automation, and smart cities, he adds. These are also industries where convergence with Wi-Fi will be particularly useful. These verticals demand reliable, low-latency connectivity and seamless transitions between networks across wide areas, he says.
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.
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 enjoys wide adoption in the enterprise, thanks to a wide span of products and services for businesses across every industry.
While traditional backup software is well-proven, Backup as a Service (BaaS) solutions are rapidly becoming the cross-industry standard. They should also be able to apply to cloud-based applications, including software-as-a-service (SaaS) applications. Here is where industry leaders like Veeam step in.
The onus is on employers to address the disparity through better communication of needs and rationalization of expectations (not expecting professionals to already have unachievable years of experience and industry certifications in a recently relevant discipline like AI, for instance),” the report states.
The report reveals how enterprises worldwide and across industries are using and managing AI/ML tools, highlighting both their benefits and security concerns. 5 key findings: AI usage and threat trends The ThreatLabz research team analyzed activity from over 800 known AI/ML applications between February and December 2024.
update, the technology is gaining a series of improvements including: enhanced observability features, application container improvements, and expanded network interface management functions. While retail was the initial target, today the technology has applicable use cases in any industry vertical imaginable. With Release 2.1,
According to a September report from McKinsey, 55% percent of quantum industry leaders said they had a quantum use case in production this year, up from 33% last year. Two functions remove the need to understand quantum circuits, focusing on optimization and chemistry applications. There is real progress happening.
As years passed new technologies like secure access service edge (SASE) and generative artificial intelligence (genAI) burst onto the scene, and SD-WAN has fallen out of the industry limelight. Why SD-WAN is still critical to the enterprise SD-WAN connects users, applications, and data across locations within a hybrid environment.
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