Storm Reply and Audi Set New Standards for Cloud Management with Agentic AI

TURIN, Italy--(BUSINESS WIRE)-- Storm Reply, the Reply Group company specialising in innovative cloud-based solutions and services, is supporting Audi's Cloud Foundation Services team in enhancing its cloud management activities through the introduction of Devbot, a digital assistant powered by Agentic AI technologies. Designed to optimise the use of cloud infrastructure, Devbot automates the handling of recurring support requests. Preparing to deploy a system where Audi employees receive personalized recommendations in real time, while ensuring the secure and efficient use of cloud services across the organization.
Unlike traditional chatbots, Devbot is built on a multi-agent architecture, combining specialised AI agents for different tasks. The platform acts proactively by identifying security vulnerabilities in the cloud infrastructure, suggesting validated Infrastructure-as-Code (IaC) components for the rapid development of new environments, and providing actionable recommendations to optimise cloud costs.
To develop this digital assistant, Storm Reply combined state-of-the-art technologies within the AWS Cloud. The Large Language Model (LLM) Claude enables users to interact through natural language, while a specialised Retrieval-Augmented Generation (RAG) process, developed by Storm Reply, ensures that all responses are based on verifiable and up-to-date information. Tailored access controls further protect sensitive data, guaranteeing that only authorised users have access.
The success of the digital assistant demonstrates the significant potential of Agentic AI when integrated into existing business processes to reduce repetitive and error-prone manual tasks. With Devbot, Audi's Cloud Foundation Services team can now focus on shaping future-proof cloud strategies, while the other departments benefit from faster, more tailored support.
Storm Reply
Storm Reply is specialized in the design and implementation of innovative Cloud-based solutions and services. Through consolidated expertise in the creation and management of Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS) Cloud solutions, Storm Reply supports important companies in Europe and all over the world in the implementation of Cloud-based systems and applications. Storm Reply is AWS Premier Consulting Partner. www.storm.reply.com
Audi
The Audi Group is one of the most successful manufacturers of automobiles and motorcycles in the premium and luxury segment. The brands Audi, Bentley, Lamborghini, and Ducati produce at 21 locations in 12 countries. Audi and its partners are present in more than 100 markets worldwide. In 2024, the Audi Group delivered 1.7 million Audi vehicles, 10,643 Bentley vehicles, 10,687 Lamborghini vehicles, and 54,495 Ducati motorcycles to customers. In the 2024 fiscal year, Audi Group achieved a total revenue of €64.5 billion and an operating profit of €3.9 billion. As of December 31, more than 88,000 people worked for the Audi Group, more than 55,000 of them at AUDI AG in Germany. With its attractive brands and numerous new models, the group is systematically pursuing its path toward becoming a provider of sustainable, fully networked premium mobility.

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This Galaxy A7 Is Not a Samsung Phone, But a Sedan With a Huge Range

Motor 1

37 minutes ago

Motor 1

This Galaxy A7 Is Not a Samsung Phone, But a Sedan With a Huge Range

We rarely cover cars sold exclusively in China, but we're willing to make an exception on occasion if there's a compelling reason. Geely's latest product meets the criteria with its unusual name, impressive driving range, and the simple fact that it's not another SUV. Roughly the same size as a Toyota Camry, this large sedan is called the Galaxy A7, a name that immediately brought to mind Samsung's namesake smartphone from a few years back. Side note: Samsung actually made cars in Korea through a joint venture with Renault. Beyond the unexpected Samsung connection, the Galaxy A7 also evokes thoughts of the Audi A7. In China, Audi offers two versions of its luxury car: the familiar A7 Sportback, a five-door liftback built by FAW, and the lesser-known A7L sedan , which features a traditional trunk. The latter is built by Audi's other local partner, SAIC. Geely's A7 looks upscale enough to compete with cars bearing the fabled Four Rings. It's sold as a Geely Galaxy, a recently launched sub-brand focused on plug-in hybrids and EVs. Photo by: Geely Although our Chinese may be a bit rusty, one detail about the car stood out: a driving range of more than 2,100 kilometers (1,305 miles) on a full tank and a fully charged battery. It's an impressive figure, though it's worth noting it's based on the lenient China Light-Duty Vehicle Test Cycle (CLTC). The Galaxy A7 is a plug-in hybrid that pairs a small 1.5-liter naturally aspirated gasoline engine with an electric motor. Geely claims a combined fuel consumption of just 2 liters per 100 kilometers, a whopping 117.6 miles per gallon. Reports from China indicate Geely will offer the Galaxy A7 with multiple lithium-iron phosphate (LFP) battery options, supplied by CALB and CATL. The largest will be an 18.99-kWh pack, enabling an electric-only range of 75 miles (120 kilometers), again based on the CLTC standard. In terms of size, the car measures 193.6 inches (4918 mm) in length, 75 inches (1905 mm) in width, and 58.8 inches (1495 mm) in height, with a generous 112 inches (2845 mm) wheelbase. It ticks nearly all the boxes for 2025 car trends: front and rear light bars, a massive center screen, and minimal physical controls. The Galaxy A7 comes with 17- to 19-inch wheels and weighs up to 3,825 pounds (1,735 kilograms) in its heaviest configuration. Geely Galaxy A7 Photo by: Geely While not yet official, reports suggest the electrified sedan will start at around 100,000 yuan, rising to 130,000 yuan for the top-tier version. That translates to around $14,000–$18,000, highlighting just how far ahead China is in minimizing production costs while still turning a profit. The Galaxy A7 will be manufactured by the company that owns multiple brands, including Volvo, Polestar, Lotus, Lynk & Co, Zeekr, and Farizon. Geely also owns half of Smart, 49.9% of Proton, 17% of Aston Martin, and a 9.69% stake in Mercedes, through its founder and chairman, Li Shufu. Geely Galaxy A7 12 Source: Geely See Other China-Only Cars: The Nissan N7 Is a Big Electric Sedan You Can't Buy The New Honda GT Is a Screen Nightmare Get the best news, reviews, columns, and more delivered straight to your inbox, daily. back Sign up For more information, read our Privacy Policy and Terms of Use . Source: Geely Share this Story Facebook X LinkedIn Flipboard Reddit WhatsApp E-Mail Got a tip for us? Email: tips@ Join the conversation ( )

The Galaxy A7 Is Not a Samsung Phone, But a Sedan With a Huge Range

Motor 1

2 hours ago

Motor 1

The Galaxy A7 Is Not a Samsung Phone, But a Sedan With a Huge Range

Building Blocks Of Agentic Systems: What Does It Look Like?

Forbes

5 hours ago

Forbes

Building Blocks Of Agentic Systems: What Does It Look Like?

We know that AI agents are going to be redefining business at nearly every level, in every vertical end in every field. But what supports this technology? Why are we now seeing agentic AI explode? There are a number of fundamental ideas getting used by companies and other stakeholders right now. One is that idea that AI can specialize into doing various tasks or operations. We see this with Claude, and agents that can use a computer like humans do. There's also the idea of distillation of systems and ensemble learning, where models interact with each other. And then there's the data side, where companies have to decide how do they deploy systems and where do they keep the data, as well as how they aggregate it for use. At Imagination in Action in April, my colleague Daniela Rus, director of the MIT CSAIL lab, interviewed a number of professionals on their thoughts. Cindy Howson from Thoughtspot, Kevin Shatzkamer of Google Cloud, formerly of Microsoft, and Anshul Ramachandran from Windsurf participated. In terms of big potential, Howson said the underpinnings were already there, and mentioned the 'Internet of AI' as a new paradigm. Shatzkamer talked about productive AI And its capabilities, while noting that although a lot of the technology is here, it's 'not stitched together yet.' Ramachandran talked about generative models getting good at specialization, and the proliferation of agentic systems. 'Even as we are hitting some physical limitations in the real world,' he said, 'it's going to unlock different frontiers of models, power, technology in general, that will enable a new kind of frontier of applications and ways of thinking about things.' In terms of current business limitations, Howson said something about getting clean, consistent data, and talked about moving from the structured data to semi-structured data, such as data assets housed in PDFs. 'I think many companies have clean, consistent structured data,' she said. 'When we talk about semi-structured data, think about the PDFs on your network drives -which employee manual is the right version? It's anyone's guess. … I think some of the data management disciplines that we have applied to structured data, we have not applied to semi-structured, but I think the technology is ready, it is more the people, the mindsets and the processes that are less ready.' She also pointed out that 81% of people fail at basic literacy. The panel also discussed how systems are getting smarter. Ramachandran talked about multiset retrieval, and how the systems can do search the way humans do, with one search after another, to compound accuracy and promote vibrant results. Shatzkamer talked about long memory and contest windows, and research reasoning capabilities. He also mentioned the future value of quantum, and of supervised fine-tuning. 'Look where quantum computing is on the near horizon,' he said. 'I think that's going to be a game changer in terms of AI processing capabilities, right? I think right now we're in a world of more, bigger, faster, and we keep on trying to build as much infrastructure as possible to support the demand. And I think we'll see that trend continue for the foreseeable future.' As for the supervised fine-tuning, he had this to say: 'As much as we've talked about supervised learning … in the ML world, (in) this new supervised fine-tuning world, (you) can build smaller models with human in the loop in a much more meaningful way.' Ramachandran suggested that generative AI is hitting critical mass, with interesting data that doesn't necessarily need huge LLMs. He gave examples of user behavior stats that can unlock a lot of actionable moves for nearly any kind of business, pointing out that you don't need a massive data center or a lot of Nvidia GPUs to do these kinds of research. Shatzkamer opined that the OS community did a good job in fostering all of this to maturity. Howson talked about the cloud getting decentralized and the 'hybrid world' that will result. When Rus asked about the single most interesting emerging tech, the panelists had these responses. Howson brought up agentic analytics. Shatzkamer talked about operational metrics for efficiency. Ramachandran said he's most interested in robotics and physical AI. All of this has big ramifications for our new AI world. Stay with me as we see a lot of this continuing to evolve as the year moves on.