Latest news with #VertexAI
Business Upturn
4 days ago
- Business
- Business Upturn
Nokia launches Autonomous Network Fabric to help customers accelerate network automation
Press release Nokia launches Autonomous Network Fabric to help customers accelerate network automation Nokia Autonomous Network Fabric brings together all the capabilities required to accelerate the journey to full network automation in an open, cloud-native, multi-vendor environment. Key features include a library of cross-domain correlated data products, telco-trained models (LLM/LAM/ML), integrated security, and AI apps for automation workflows. Nokia announces an expanded collaboration with Google Cloud that will make Nokia's Autonomous Network Fabric available to deploy anywhere customers need it, on Google Cloud, on premises, and in hybrid cloud environments. 18 June 2025 Espoo, Finland – Nokia today announced its Autonomous Networks Fabric , the industry's first suite of telco-trained AI models, integrated security, and AI apps to accelerate network automation and enable operators to easily roll out new services. Autonomous Network Fabric is a unifying intelligence layer that weaves together observability, analytics, security, and automation across every network domain; allowing a network to behave as one adaptive system, regardless of vendor, architecture, or deployment model. Additionally, Nokia is announcing an expanded collaboration with Google Cloud to enable customers to deploy Nokia's Autonomous Network Fabric as a SaaS application running on Google Cloud, on-premises with Google Distributed Cloud, and in hybrid cloud environments. Over the past few years, operators have started to move toward fully autonomous networks. However, they are held back by legacy systems, siloed processes, and fragmented data. With Nokia's Autonomous Network Fabric, operators now have a fully integrated suite that features unified data management, 360-degree observability, and explainable AI. Nokia's Autonomous Network Fabric enables automation at scale, reducing the complexity of automation while allowing operators to improve reliability and operational cost savings by quickly testing new ideas and integrating those that deliver desired benefits. 'As networks become more autonomous, they will require different forms of AI—from classical algorithms to language-based systems and intelligent agents—to each contribute distinct capabilities for operators. Nokia's new tools can help operators to manage their infrastructure, services, and cyber risks by applying AI that is trained on industry-specific data and enriched with real-time situational awareness,' said Andy Hicks, Senior Principal Analyst, GlobalData. Nokia's Autonomous Networks Fabric will leverage Google Cloud's generative AI, including Google Cloud's Vertex AI and BigQuery, to deliver agentic-driven workflows for network operations. This includes real-time monitoring and visibility into network traffic patterns, improving subscriber experience, anomaly detection, zero-touch remediation of performance issues, and support for elastic scale-out and disaster recovery to the cloud. Nokia and Google Cloud are making it easier for telecom companies to run Nokia's 5G core network on Google's cloud infrastructure. They are also joining forces with a major European operator to build a smarter, more automated network. By combining Nokia's telecom data and automation capabilities with Google's AI tools, they aim to create an environment where developers can innovate and rapidly scale network automation. 'In an era of increasingly complex and vulnerable networks, customers are eager for fully autonomous networks, which depend on good data. There is no good AI without good data. Nokia's Autonomous Network Fabric lays the foundation and applies our deep network expertise and agentic AI-optimized workflows together with Google Cloud to accelerate customer outcomes,' said Kal De, SVP Product and Engineering, Cloud and Network Services, Nokia. 'This is another step in our deep partnership with Nokia to strengthen network reliability, proactively detect and resolve network issues, and turn data into value for predictable and high-performing networks. Nokia's Autonomous Network Fabric taps Nokia's deep telecom domain knowledge combined with Google Cloud's AI tools to provide operators with a comprehensive approach for accelerating network automation,' said Muninder Singh Sambi, Vice President and General Manager, Networking and Security, Google Cloud. With Nokia's Autonomous Network Fabric, customer will benefit from the following capabilities: Unified Data Management: All relevant network data is collected, curated, correlated, and published as data products leveraging a data mesh architecture. Data is virtually federated with the ability to design and construct new data products rapidly in a low-code/no-code environment. Operators can use logic or AI/ML to create cutting-edge data assets that can be used and reused to power automation. 360-degree Observability: The Autonomous Network Fabric federates the use and distribution of data and AI across the organization, monitoring chain of custody from end to end. This ensures quality and consistency in automation. Explainable AI: Powerful telco-trained LLMs support all automation through a rich knowledge engine that gives a clear reasoning for how data is interpreted, how issues are analyzed, and why certain actions are recommended. Visit Nokia at Booth 306 at Digital Transformation World to find out more about the future of autonomous networks and see a live demo of Nokia AN Fabric in action. Multimedia, technical information and related news Product Page: Nokia Autonomous Networks Product Page: Nokia Data Suite About Nokia At Nokia, we create technology that helps the world act together. As a B2B technology innovation leader, we are pioneering networks that sense, think and act by leveraging our work across mobile, fixed and cloud networks. In addition, we create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs, which is celebrating 100 years of innovation. With truly open architectures that seamlessly integrate into any ecosystem, our high-performance networks create new opportunities for monetization and scale. Service providers, enterprises and partners worldwide trust Nokia to deliver secure, reliable, and sustainable networks today – and work with us to create the digital services and applications of the future. Media inquiries Nokia Press Office Email: [email protected]
Yahoo
14-06-2025
- Business
- Yahoo
SoundHound's Amelia 7.0 Launch: A Turning Point for Voice AI?
SoundHound AI's SOUN rollout of Amelia 7.0, unveiled on May 8, marks a significant milestone, shifting its voice AI suite from reactive assistants to fully agentic, voice-enabled AI agents that understand, reason and act autonomously. Built on the proprietary Agentic+ framework, these agents offer a hybrid of deterministic flows and generative AI. This enables them to complete multi-step tasks, like reordering prescriptions or resetting passwords, without human Amelia 7.0 integrates Polaris ASR, delivering low latency and 99% intent recognition accuracy, alongside seamless LLM interoperability and enterprise-grade guardrails. This positions SoundHound not just as a voice AI player, but as a leader in agentic AI, a rapidly emergent category poised for exponential adoption across timing is strategic. During the first quarter of 2025, SoundHound's revenue jumped 151% year over year to $29.1 million, supported by expanded voice commerce in restaurants and automotive integrations. Though slightly below expectations, the company maintained strong guidance ($157–177 million for 2025), backed by a record pipeline and $246 million in cash with no 7.0 could be a catalyst, offering defenses against commoditization in speech-to-text markets and unlocking new revenue streams via autonomous agents in healthcare, finance, customer service, and more. Still, SoundHound must convert technological leadership into clear monetization, maintain competitive gross margins, and scale enterprise adoption amid macroeconomic 7.0 is a transformative leap. If SoundHound can translate this tech into scale, the stock could enjoy a strong re-rating. However, execution is key, especially in proving ROI and driving profitable growth across diverse verticals. As SoundHound pushes forward with Amelia 7.0, it faces mounting competition from both established tech giants and specialized AI players, who are also sculpting the voice AI Corporation MSFT, through its Azure OpenAI integrations and Nuance Communications unit, remains a formidable force. Nuance's deep roots in healthcare voice automation and conversational AI give Microsoft a strong enterprise footprint. By embedding large language models into voice-enabled workflows, Microsoft is targeting the same high-value verticals, like finance and call centers, that SoundHound seeks to Inc.'s GOOGL Google, with its Assistant and Vertex AI platforms, is another heavyweight rival. Google Assistant is already embedded in millions of devices, and Vertex AI provides developers with customizable voice agents powered by Google's advanced speech-to-text and LLM models. Its scalability and ecosystem—spanning Android, Smart Home, and Workspace—present a serious challenge to SoundHound's adoption in consumer and enterprise environments. SoundHound plunged 52.1% year to date, underperforming the Zacks Computers - IT Services industry's 6.7% decline. Image Source: Zacks Investment Research In terms of its forward 12-month price-to-sales (P/S) ratio, SOUN is trading at 20.65, higher than the industry's 19.32. Image Source: Zacks Investment Research Over the past 60 days, the Zacks Consensus Estimate for SOUN's 2025 loss per share has remained unchanged at 16 cents per share. Nonetheless, the estimated figure reflects an improvement from the year-ago loss of $1.04 per share. Image Source: Zacks Investment Research SOUN stock currently carries a Zacks Rank #3 (Hold).You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Microsoft Corporation (MSFT) : Free Stock Analysis Report Alphabet Inc. (GOOGL) : Free Stock Analysis Report SoundHound AI, Inc. (SOUN) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
Yahoo
12-06-2025
- Business
- Yahoo
Amazon Preps Bedrock Overhaul to Challenge Vertex AI
Amazon (NASDAQ:AMZN) is overhauling its Bedrock AI cloud service to better compete with Google's (NASDAQ:GOOG) Vertex AI and other rivals. Warning! GuruFocus has detected 2 Warning Sign with AMZN. AWS engineers are strengthening Bedrock's runtime environment and adding plug-in components that let customers run models hosted on different cloudslike Microsoft's (NASDAQ:MSFT), OpenAI's and Google'sdirectly through Bedrock's API. Launched in April 2023 by CEO Andy Jassy, Bedrock enables enterprises to customize foundation models with their own data without managing servers. The revamp aims to optimize performance and extensibility, making it effortless for developers to swap in third-party models alongside Amazon's Titan and partners such as Anthropic, AI21Labs and An AWS partner executive says many customers want to keep their preferred models but run them on AWS, and this new Bedrock runtime is designed to deliver exactly that. AWS could unveil these enhancements as soon as next month. Why It Matters: As generative AI adoption accelerates, cloud providers must offer both proprietary model innovation and seamless multi-model support to win enterprise business. Enhanced interoperability could help AWS protect Bedrock's market share against Google Cloud, Microsoft Azure and niche AI platforms. This article first appeared on GuruFocus. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
11-06-2025
- Business
- Yahoo
Cineverse announces commercial availability of cineSearch for Business
Cineverse (CNVS) announced that the newly-formed Cineverse Technology Group has officially launched cineSearch for Business. The AI-powered content search and discovery tool is complete and now available for commercial licensing to OEMs and streaming platforms, both through the Company's growing sales team and through Google Cloud Marketplace. As previously announced, cineSearch was developed using Google Cloud's Vertex AI platform and Gemini 2.0 Pro model. A reference design of cineSearch is currently available for free at Easily unpack a company's performance with TipRanks' new KPI Data for smart investment decisions Receive undervalued, market resilient stocks right to your inbox with TipRanks' Smart Value Newsletter Published first on TheFly – the ultimate source for real-time, market-moving breaking financial news. Try Now>> See Insiders' Hot Stocks on TipRanks >> Read More on CNVS: Disclaimer & DisclosureReport an Issue Cineverse Announces New Employment Agreement with Antonio Huidor Cineverse participates in a conference call with Benchmark Cineverse announces formation of Cineverse Motion Pictures Group Cineverse acquires U.S. rights for Return to Silent Hill Cineverse Updates Executive Employment Agreements
Yahoo
10-06-2025
- Business
- Yahoo
Cineverse Announces Commercial Availability of cineSearch for Business - a Revolutionary, AI-Powered Tool that Solves Search & Discovery for Digital Platforms and Streaming Services
Company's Proprietary, Customizable Product is "AI for your UI" that Improves the Viewer Search Experience, User Retention and Time Spent in a Cost-Effective Way cineSearch Now Available to Platforms and OEMs via Google Cloud Marketplace and through Growing Sales Team LOS ANGELES, June 10, 2025 /PRNewswire/ -- Cineverse (Nasdaq: CNVS), a next-generation entertainment studio, today announced that the newly-formed Cineverse Technology Group has officially launched cineSearch for Business. The revolutionary, AI-powered content search and discovery tool is complete and now available for commercial licensing to OEMs and streaming platforms, both through the Company's growing sales team and through Google Cloud Marketplace. As previously announced, cineSearch was developed using Google Cloud's Vertex AI platform and Gemini 2.0 Pro model. A reference design of cineSearch is currently available for free at Over the past year since its Beta launch, Cineverse has steadily improved and refined cineSearch thanks to continued innovation from the Company's world-class engineering team, partnerships with innovative technology companies, and critical to the superior search results of this new solution, the development of cineCore, a domain-specific dataset comprised of proprietary film & television metadata optimized for AI search. The foundation for an advanced search & discovery solution has been completed, ongoing investment in enriched metadata will continue to improve the search results. The result: an advanced search tool that eliminates 'binge scrolling' by effectively offering viewers personalized and superior content recommendations that do not rely on matching keywords found in the title, cast and genre, but are more accurately determined by the user's mood along with the content's theme, popularity, quality, tone, setting, style, music score, plot, micro-genre, among many other traits. In addition, a viewer's previous viewing history, likes/dislikes, saved watchlists, location, current date, and other factors are used to determine the most relevant movies. By bringing the product to market as a business-to-business offering that is highly customizable based on each streaming platform or OEM's needs, Cineverse is providing third-party partners with a solution that can, for the first time, transform the way their users interact with any streaming service. Most importantly, cineSearch directly addresses key issues affecting the streaming ecosystem, namely the fact that one third of streaming subscribers cancel a service due to poor discovery; viewers spend an average of 10+ minutes searching for what to watch, with 20 percent of viewers abandoning their search; and 50 percent are forced to rely on external social searches for their recommendations, taking them out of the platform's preferred user experience. Plus, cineSearch solves a real problem that is holding the streaming industry back and costing it revenue – testing has shown that it can decrease search time 90%, improve user retention 16% and increase revenue a potential 24% per month. "When we set out to solve the problem of poor search and ineffective content discovery – which we later realized was an industrywide problem – our underlying goal was to 'make deciding what to watch as entertaining as the movie itself.' We not only spent several years developing cineSearch, but also conducted analysis of user behavior, incorporating their feedback to add additional features, improve our search results, and put ourselves in a better position to meet their high expectations," said Cineverse President of Technology and Chief Product Officer Tony Huidor. "For nascent streaming companies that are just getting started and don't have the resources to solve the search and discovery issue themselves, along with established media companies who are struggling to develop an in-house solution, cineSearch is an intuitive, cost-effective, customizable option that can be quickly integrated to improve user retention and effectively solve poor user experience issues." Among the key features available with cineSearch for Business, including some newly-added, are: Improved sorting algorithm with extensive new metadata – Covering more than two million titles including proprietary new AI-generated metadata woven into "cineCore" – cineSearch's proprietary dataset that powers the backbone of the platform. cineCore can be licensed separately by third parties seeking to improve their in-house search and discovery tools. In addition to metadata dating back from the birth of cinema to the present, processes are in place to continually update cineCore with metadata for the latest film and television releases. Deeper contextual information – This newest version includes integration of dynamic movie ratings from the leading online film community, major award and festival honors, box office performance from 1975 to the present, annual television ratings dating back to the 1950s, an overall master ranking for all film and television series, and 100s of "Best of.." movie lists. Q-Point™ – A proprietary new AI-based feature (short for "Quiddity," or the core essence of something) that provides a brief summary that explains why each particular title was recommended, making the logic behind title recommendations easier to comprehend by allowing one to understand the intrinsic relationship between each film. Enhanced filters – To facilitate and improve search results, one can also filter titles saved to Wish Lists by streaming service to more easily discover hidden gems that allow fans to dig deeper into their favorite genres. One can also opt to filter out content they have already watched on any streaming service. Integration of behavioral data – cineSearch allows users to import their behavioral data, including viewing history, favorites, Continue Watching, and personal ratings from more than a dozen leading streaming services. cineSearch uses this behavioral data to inform future recommendations through the use of advanced machine-learning algorithms while also eliminating the "cold start" problem. Unified search – A fundamental feature of cineSearch is the ability to offer quick, consolidated, personalized search results that provide direct links to watch the title on any streaming platform where the title is available. cineSearch offers direct links to more than 60 streaming services. Customizable chatbot – A user can engage with Ava, cineSearch's native chatbot, directly via voice or text. Available as a custom option to third-party customers, this AI-based Video Assistant supports both voice and text input/output, with the ability to let the user choose to engage via one and/or the other. Ava is one of several available persona options, and the length of her responses can be tailored based on preferences. This announcement comes on the heels of the Company forming the Cineverse Technology Group, a dedicated division focused on rapidly scaling its technology monetization efforts and accelerating AI-driven innovation across the global entertainment ecosystem. This builds on Cineverse's long history of being transformative, first-movers in the entertainment technology space. cineSearch is part of Matchpoint™, Cineverse's award-winning media supply chain platform, which is a critical solutions provider for many of the Company's largest partners. By automating complex workflows, streamlining content delivery, and driving significant cost efficiencies, Matchpoint powers one of the most advanced and scalable content distribution infrastructures in the industry today. Under Huidor's leadership, the newly established sales team is charged with aggressively expanding Matchpoint's commercial licensing partnerships, targeting large media companies and studios that want effective modern infrastructure and are seeking significant operational cost savings. Added Huidor, "As an early entrant into the streaming business, we long ago solved the problem of delivering video at scale through the efficiencies that Matchpoint provides. This has allowed us to innovate, iterate, and develop next-generation technology internally without relying on external vendors to meet our needs. This has put us in a unique position of solving issues affecting the streaming industry as a whole then allowing us to license our technology to the industry-at-large in a cost-effective way." cineSearch timeline: February 2024: Cineverse Partners with Google Cloud to Launch a Conversational AI-Powered Search & Discovery Tool for Film and Television Content May 2024: Cineverse Unveils Public Beta of AI-Powered Content Discovery Solution - cineSearch October 2024: Cineverse Launches cineSearch For Public Preview, Revolutionizing Content Discovery Today: Cineverse Launches cineSearch for Business For more information about cineSearch for Business, or to contact Cineverse's sales reps, visit To test cineSearch and see one of the many possible ways it can be personalized for a specific streaming platform or device, visit About Cineverse Technology Group Cineverse develops proprietary technology that powers the future of entertainment, leveraging the Company's position as a pioneer in the video streaming industry along with the industry-leading strength of its development team in India. This team has dedicated years building and refining technology solutions that have pioneered streaming content management and distribution while leaning into advances in AI to set the company apart from the competition. This includes the creation of Matchpoint™, an award-winning media supply chain service that is radically changing the way content is managed and delivered. Matchpoint has replaced today's expensive, and labor-intensive video content processes with a fully transparent, automated workflow that significantly reduces costs, eliminates human error, and effortlessly facilitates content ingestion with delivery across multiple platforms and distribution models. The Company's cineSearch is an AI-powered search and discovery tool for film and television that makes deciding what to watch as entertaining as the entertainment itself. Additionally, the C360 programmatic audience network and ad-tech platform provides brands the opportunity to target and reach key fandoms wherever they are. About Cineverse Cineverse (Nasdaq: CNVS) is a next-generation entertainment studio that empowers creators and entertains fans with a wide breadth of content through the power of technology. It has developed a new blueprint for delivering entertainment experiences to passionate audiences and results for its partners with unprecedented efficiency, and distributes more than 71,000 premium films, series, and podcasts. Cineverse connects fans with bold, authentic, independent stories. Properties include the highest-grossing non-rated film in U.S. history; dozens of streaming fandom channels; a premier podcast network; top horror destination Bloody Disgusting; and more. Powering visionary storytelling with cutting-edge innovation, Cineverse's proprietary streaming tools and AI technology drive revenue and reach to redefine the next era of entertainment. For more information, visit CONTACTS For Media, The Lippin Group for Cineversecineverse@ For Investors, Julie Milsteadinvestorrelations@ View original content to download multimedia: SOURCE Cineverse Corp.
