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At the Open Networking & Edge Summit in London, which is co-located with the Kubecon conference, LF Networking detailed an ambitious strategic roadmap that emphasizes the convergence of opensource, artificial intelligence, and cloud-native technologies as the foundation for next-generation networking infrastructure.
The open-source Kubernetes technology in recent years has become the de facto standard for cloud-native deployments, running on all major cloud hyperscalers and supported by a long list of vendors, including Red Hat. integrates what Red Hat refers to as VM-friendly networking. In particular, OpenShift 4.18
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.
AGNTCY plans to define specifications and reference implementations for an architecture built on open-source code that tackles the requirements for sourcing, creating, scaling, and optimizing agentic workflows. Hypershield uses AI to dynamically refine security policies based on application identity and behavior.
NetBox Labs this week made available a new product that will help network teams detect and remediate configuration drift across sophisticated network environments before costly service disruptions or unplanned downtime affect services or applications. NetBox Labs was founded in 2023 after being spun out of DNS platform provider NS1 in 2023.
For example, Whisper correctly transcribed a speaker’s reference to “two other girls and one lady” but added “which were Black,” despite no such racial context in the original conversation. million downloads on the open-source AI platform HuggingFace in the past month, Whisper has become one of the most popular speech recognition models.
In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications. For example, if an LLM is asked to provide information about a companys product, manuals for that product and other reference materials would be extremely helpful.
Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors. In these uses case, we have enough reference implementations to point to and say, Theres value to be had here.' Now, it will evolve again, says Malhotra.
Whats inside VergeIO and where its deployed While the ESX hypervisor is at the core of the VMware virtualization platform, VergeIO is based on the open-source KVM hypervisor. VergeIO is not, however, using an off-the-shelf version of KVM.
integrates Ciscos Hypershield and AI Defense packages to help protect the development, deployment, and use of AI models and applications, according to Jeetu Patel, Ciscos executive vice president and chief product officer. Hypershield uses AI to dynamically refine security policies based on application identity and behavior.
Take Avantia, for example, a global law firm, which uses both commercial and opensource gen AI to power its agents. That includes a couple of the major opensource models, he says, because they offer privacy, cost advantages, and lower latency. And they dont lend themselves well to an SaaS solution.
Sovereign AI refers to a national or regional effort to develop and control artificial intelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. It is also a way to protect from extra-jurisdictional application of foreign laws.
These patterns encompass a way to deliver value to the business with data; I refer to them collectively as the “data operating model.” In this article, I’ll explore the three execution patterns I’ve come across that have engendered success with data: cloud-native technologies, real-time data, and opensource software.
By Prayson Pate Openness is one of the most-cited advantages of cloud-based applications, Software-Defined Networking (SDN) and Network Functions Virtualization (NFV). In this context, what does open really mean? A good example of this type of openness is the Microsoft Outlook Messaging API (MAPI).
Five European operators as well as vendors Ericsson and Nokia have thrown their weight behind a new opensource networking project that aims to create a cloud software framework to “reduce the infrastructure fragmentation” in Europe. Deutsche Telekom, Orange, Telecom Italia, Telefonica and Vodafone are all backing.
Expectations for AI continue to rise as we move the spotlight from AI application at scale to accelerating towards Artificial General Intelligence (AGI). The threshold for AI application is also gradually decreasing. Lastly, open-source AI models are simply becoming more competitive.
Since then, AI vendors leapfrogged one another in capabilities and features, and a multitude of open-source models hit the scene, offering lower cost or more specialized alternatives. A new memory tiering capability will speed up data-intensive applications such as AI, databases and real-time analytics.
While the term originally referred to a system’s ability to read, it’s since become a colloquialism for all computational linguistics. NLP applications Machine translation is a powerful NLP application, but search is the most used. Transformer models take applications such as language translation and chatbots to a new level.
Alignment AI alignment refers to a set of values that models are trained to uphold, such as safety or courtesy. Companies typically start with either a commercial or open-source model and then fine-tune it on their own data to improve accuracy, avoiding the need to create their own foundation model from scratch.
With each passing day, new devices, systems and applications emerge, driving a relentless surge in demand for robust data storage solutions, efficient management systems and user-friendly front-end applications. Yet, even if we run the same tool on 100 different applications, the tool hardly ‘learns’ from each test!
SAP has unveiled new tools to build AI into business applications across its software platform, including new development tools, database functionality, AI services, and enhancements to its Business Technology Platform, BTP. It’s also adding new logging and telemetry tools to help developers fine-tune their applications.
Creating new insights from data lays the groundwork for a range of applications, from optimizing operations to driving innovation and creativity. By using retrieval-augmented generation (RAG) , enterprises can tap into their own data to build AI applications designed for their specific business needs.
A 15-year-old vulnerability in the Python programming language is making headlines again as new research shows that the vulnerability is estimated to be present in over 350,000 opensource projects and some closed source projects, according to the Trellix Advanced Research Center.
As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful.
Robotic process automation (RPA) is an application of technology, governed by business logic and structured inputs, aimed at automating business processes. Most organizations have business applications that work perfectly well but require users to click on the same boxes in the same patterns all day long. What is RPA?
In a follow up to my popular post on Symfony2 , the opensource PHP framework we use at OpenSky , Iâ??m Bootstrapping your Symfony2 application. If yes, skip to Creating your application. Once that is completed resume with Creating your Application. Creating your application. References. SlideShare.
DDI refers to the trio of core network services in IP networks: DNS, which turns domain names into IP addresses; DHCP, which assigns IP addresses to resources; and IPAM, which manages the network’s IP address infrastructure. In addition, limited visibility across cloud environments can create IP conflicts, triggering application downtime.
The application of LLMs to an organization’s knowledge assets has the potential to accelerate these trends. Open is Better Just as the web is built on open-source software and protocols, it’s likely that many enterprise AI initiatives will be built on open-source models such as LLaMA and freely available techniques such as LoRa.
All reference using Hortonworks Data Platform to build an enterprise-level Hadoop platform. With its efficient use of commodity hardware and its ability to scale linearly, open-source Apache Hadoop is an ideal platform upon which to offload many data processing workloads. You can download this white paper by clicking here.
As a ‘taker,’ you consume generative AI through either an API, like ChatGPT, or through another application, like GitHub Copilot, for software acceleration when you do coding,” he says. Fine-tuning applies to both hosted cloud LLMs and opensource LLM models you run yourself, so this level of ‘shaping’ doesn’t commit you to one approach.
Enter Jim Palermo, who’s been CIO of opensource solution provider Red Hat since 2022, and with the company for 14 years before that. We know our customer engineering teams want to develop applications in one place and deploy them anywhere, whether on-prem or a public cloud,” he says. This is a new role for us.” I get all that.
It’s embedded in the applications we use every day and the security model overall is pretty airtight. For example, half use Azure AI Search to make enterprise data available to gen AI applications and copilots they build. People need to consider this when building their applications. That’s risky.” This isn’t a new issue.
has expanded its Phi line of open-source language models with the introduction of two new algorithms designed for multimodal processing and hardware efficiency: Phi-4-mini and Phi-4-multimodal. For further details on the models and their applications, developers are encouraged to refer to the Phi Cookbook available on GitHub.
These are what I’d refer to as key ingredients to provide delightful customer experiences. For the past 30 years, SUSE has been helping customers realize their business goals through transformative and cutting-edge open-source technologies. Vishal is here on LinkedIn: [link] Application Security, Mobile Development
Paul Speciale is Chief Marketing Officer at Appcara , which is a provider of a model-based cloud application platform. Numerous IT management tools are available today for use with the cloud, but the rubber meets the road at the level of the application because this is what a user will actually “use.” Cloud Application Management.
Having an open-source IVI operating system would create a reusable platform consisting of core services, middleware and openapplication layer interfaces that eliminate the redundant efforts to create separate proprietary systems. By developing an open-source platform, carmakers can share upgrades as they arrive.
A contrasting study by Qlik indicates that 21% of enterprises face real challenges with AI due to lack of trusted data for AI applications , highlighting the need for reliable data platforms. Open-source implementations for machine learning invite obvious and hidden costs if your organization is not prepared to manage them.
For example, our employees can use this platform to: Chat with AI models Generate texts Create images Train their own AI agents with specific skills To fully exploit the potential of AI, InnoGames also relies on an open and experimental approach.
You can download a white paper showing how this can be accomplished, complete with reference architecture, here. CTO analytics Apache Big Data data flow decision event processing hardware acceleration in-line analytics machine data messaging Napatech OpenSource real-time alerting real-time analytics steaming analytics'
An enterprise that focuses on building an event-based architecture for real-time applications will be in a much better position to build a real-time analytics platform. We can, in the semantics of the software world, refer to digitally mediated business activities asreal-time events.
“More than half of our customers use more than one model for a given application.” The field has been made more dynamic by the rise of competitive open-source models, most recently exemplified by Meta’s Llama 3.1. . “There’s going to be no one model that rules the world,” said Sivasubramanian.
As the Russian invasion of Ukraine draws on, consequences are being felt by many parts of the technology sector, including open-source software development. Since open-source libraries are fundamental to software development, a general loss of trust in their integrity could have knock-on effects for users in Russia and elsewhere.
In recent articles, ForAllSecure has discussed how we were able to use our next-generation fuzzing solution, Mayhem, to discover previously unknown vulnerabilities in several opensource projects, including Netflix DIAL reference , Das U-Boot , and more. Who has Fuzzed This Target Before? What to Target?
More recently, Hughes has begun building software to automate application deployment to the Google Cloud Platform and create CI/CD pipelines, while generating code using agents. For example, AI agents use opensource intelligence to hunt for movie leaks and piracy across social media and the dark web.
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