Latest news with #AIPlatform
Yahoo
4 hours ago
- Business
- Yahoo
Palantir (PLTR) Shares Are Up 80% Since This Congressman Bought Company Shares
Palantir Technologies Inc (NASDAQ:PLTR) shares are buzzing as more and more politicians pile into the stock and the company keeps getting governmental contracts. Congressman James Comer from Kentucky bought Palantir Technologies Inc (NASDAQ:PLTR) shares worth up to $15,000 on January 21 this year. The stock is up 80% since then. Comer is Chairman of the House Oversight Committee. A software engineer manipulating a vast network of code on virtual monitors. Palantir has so far defied conventional valuation metrics thanks to its momentum and strong growth. In Q1 2025, its US commercial revenue jumped 71% year over year, hitting a $1 billion annualized run rate, while total commercial contract value soared 183% to $810 million. Palantir posted a 44% adjusted operating margin and $370 million in free cash flow. The company secured 139 contracts over $1 million and 31 over $10 million, amid AI Platform (AIP) deployments seeing gains. U.S. government revenue, 42% of total sales, rose 45% year over year, and Palantir now supports 32 allied nations with its AI-based command platform. Alger Mid Cap Focus Fund stated the following regarding Palantir Technologies Inc. (NASDAQ:PLTR) in its Q1 2025 investor letter: Palantir Technologies Inc. (NASDAQ:PLTR) builds advanced platforms for data integration, management, and security, enabling interactive, AI assisted analysis for its users. Its core offerings include Palantir Gotham, designed for government clients, and Palantir Foundry, tailored for commercial customers. Originally focused on U.S. intelligence agencies, Palantir has expanded into defense contracts with western governments and entered the commercial market in 2016. During the quarter, the company reported strong fiscal fourth-quarter results, with revenues surpassing analyst estimates due to heightened demand from both U.S. commercial and government clients. Management also raised its fiscal 2025 revenue outlook, citing robust demand in its Artificial Intelligence Platform (AIP), which continues to gain adoption across various industries. Collectively, these developments drove a notable rise in Palantir's share price, positively contributing to performance during the quarter. READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
Techday NZ
4 days ago
- Business
- Techday NZ
Elastic & AWS partner to enable secure generative AI apps
Elastic has entered into a five-year strategic collaboration agreement with Amazon Web Services (AWS) to support organisations in building secure, generative AI-powered applications with greater speed and reduced complexity. The agreement is focused on joint product integrations and go-to-market initiatives that aim to enable customers to transition into AI-native enterprises more efficiently. It brings together Elastic's Search AI Platform and AWS services, with a particular emphasis on facilitating work in highly regulated sectors such as the public sector and financial services. Under this agreement, the companies will invest in technical integrations, including support for Amazon Bedrock and Elastic Cloud Serverless, to help customers drive AI innovation. The collaboration is designed to allow customers to leverage generative AI features by making use of high-performing foundation models available through Amazon Bedrock. It also offers support for migrating Elasticsearch workloads from on-premise data centres to Elastic Cloud on AWS, ongoing cost efficiencies for users of Elastic Cloud Serverless, and enhanced agentic AI capabilities through work on Model Context Protocol (MCP) and agent-to-agent interoperability. Commenting on the collaboration, Ash Kulkarni, Chief Executive Officer at Elastic, said: "As the speed of generative AI adoption accelerates, search has become increasingly relevant. Our collaboration with AWS and integration with Amazon Bedrock brings the power of search directly to generative AI for a host of use cases, including cybersecurity and observability. Together, we're enabling developers to build intelligent, context-aware applications that leverage their own data securely and at scale." Ruba Borno, Vice President, Specialists and Partners at AWS, said: "Together with Elastic, we're helping customers transform how they leverage data and AI to drive innovation. This strategic collaboration delivers particular value for highly regulated industries requiring robust data protection, while our shared commitment to standards like Model Context Protocols enables seamless agent-to-agent interactions. Available through AWS Marketplace, customers will be able to quickly deploy solutions that combine Elastic's powerful search capabilities with Amazon Bedrock on the secure, global AWS infrastructure, helping them build compliant, intelligent applications that accelerate their AI journey." The collaboration is already producing results for organisations such as Generis and BigID. Mariusz Pala, Chief Technology Officer at Generis, said: "The strength of the Elastic and AWS partnership has been fundamental to Generis's mission of delivering secure, compliant, and intelligent solutions for clients in highly regulated industries. By deploying Elastic on AWS, we've reduced average search times by 1000% and cut the time to produce complex, compliance-driven documents from two weeks to just two days, providing our clients real-time insights while upholding the highest standards of data integrity and control." Avior Malkukian, Head of DevOps at BigID, said: "Leveraging Elastic Cloud on AWS has been transformative for BigID. We've achieved a 120x acceleration in query performance, enabling real-time data insights that were previously unattainable. The scalability and flexibility of Elastic Cloud on AWS allow us to efficiently manage vast and complex data landscapes, ensuring our customers can swiftly discover and protect their sensitive information. Elastic Cloud on AWS is a powerful combination that allows us to deliver innovative features, reduce operational costs, and maintain our leadership in data security and compliance." The integration of Elastic's AI-powered solutions with AWS services includes features such as Elastic AI Assistant, Attack Discovery, Automatic Import, Automatic Migration, Automatic Troubleshoot, and AI Playground, all of which interact with Large Language Models through Amazon Bedrock. These integrations help customers to conduct root cause analysis more quickly, synthesise complex data signals, automate data onboarding, and simplify the migration process. Natural language and retrieval-augmented generation (RAG)-powered workflows are designed to enable teams to interact with their data more intuitively and support faster decision-making. Elastic's relationship with AWS has been recognised within the AWS Partner Network. In December 2024, Elastic was named AWS Global Generative AI Infrastructure and Data Partner of the Year, and it was among the first group of AWS software partners acknowledged with the AWS Generative AI Competency. The company has also received AWS competency designations for the government and education sectors earlier this year.
Yahoo
26-05-2025
- Business
- Yahoo
Here's Why You Should Hold Palantir Technologies Stock Now
Palantir Technologies Inc. PLTR stock has rallied 487% in the past year, significantly outperforming the 28.5% growth of the industry. The company has an impressive Growth Score of A. This style score condenses all the essential metrics from the company's financial statements to get a true sense of the quality and sustainability of its growth. The company's 2025 and 2026 earnings are expected to increase 44% and 25%, respectively, year over year. Sales in 2025 and 2026 are expected to rise 37% and 28%, respectively. Palantir Technologies Inc. price | Palantir Technologies Inc. Quote Palantir's AI strategy is comprehensive, combining its proprietary Foundry and Gotham platforms with a solid plan to promote AI adoption across both government and commercial sectors. Its AI Platform (AIP) is the backbone of these capabilities, enabling organizations to process large datasets and derive real-time insights. This is especially valuable in sectors requiring extensive data integration, such as defense, healthcare, finance and intelligence, where operational efficiency and decision-making speed are critical. In the government sector, Palantir is aligning its AI strategy with U.S. defense priorities. Its work in high-profile initiatives, such as the Department of Defense's Open DAGIR project, highlights its ability to modernize military operations through AI-driven solutions where data interoperability and real-time decision-making capabilities are imperative. These capabilities solidify Palantir's position as a key player in the defense sector. In the commercial space, Palantir's AIP boot camps — providing hands-on experience to over 1,000 companies — have proven instrumental in customer acquisition. Boot camps showcase the platform's capabilities and demonstrate its adaptability across logistics, manufacturing and supply chain management. Palantir's core customer base comprises businesses seeking tailored AI/ML services, particularly large government and corporate clients willing to invest heavily in its systems. This has generated solid revenues, registering a 21.3% CAGR from 2020 to 2024. Palantir's modular sales approach expands beyond the core customer base, allowing clients to purchase specific product components instead of committing to the full platform upfront. This model also incorporates usage-based pricing, which lowers the entry barrier for new clients. By starting small, clients can gradually increase spending as they scale their usage of Palantir's solutions. This has expanded its U.S. commercial customer base. PLTR has a strong balance sheet. Cash and equivalents were $5.4 billion as of Jan. 30, 2025. Since there is no debt, most cash is available for investments in growth initiatives. At the end of the first quarter of 2025, PLTR reported a current ratio of 6.49, way above the industry's average of 2.38. A current ratio above 1 suggests that a company is well-positioned to meet its short-term obligations. Palantir stock is currently trading at a significantly elevated valuation, which is a major reason some investors are considering selling the stock. The forward price-to-earnings (P/E) ratio stands at an astonishing 191.27, far exceeding the industry average of 36.89. Similarly, the forward price-to-sales (P/S) ratio is 66.79 compared to the industry benchmark of 5.33. These metrics highlight the premium pricing of Palantir shares, suggesting they are significantly overvalued. Historically, such high valuations have often preceded substantial stock price declines. This overvaluation raises concerns about sustainability and prompts some investors to lock in gains or avoid further exposure. PLTR currently carries a Zacks Rank #3 (Hold). Some better-ranked stocks are AppLovin APP, sporting a Zacks Rank #1 (Strong Buy) and Conduent CNDT, carrying a Zacks Rank #2 (Buy). You can see the complete list of today's Zacks #1 Rank stocks here. AppLovin has a long-term earnings growth expectation of 20%. APP delivered a trailing four-quarter earnings surprise of 22.9%, on average. Conduent has a long-term earnings growth expectation of 8%. CNDT delivered a trailing four-quarter earnings surprise of 5.9%, on average. 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 AppLovin Corporation (APP) : Free Stock Analysis Report Conduent Inc. (CNDT) : Free Stock Analysis Report Palantir Technologies Inc. (PLTR) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
Techday NZ
15-05-2025
- Business
- Techday NZ
Twilio teams with Microsoft to drive enterprise conversational AI
Twilio has announced a multi-year strategic partnership with Microsoft aimed at accelerating the adoption of conversational artificial intelligence (AI) technologies for customer engagement. The collaboration will leverage Twilio's customer engagement platform in conjunction with Microsoft Azure AI Foundry, providing enhanced enterprise-grade infrastructure for conversational AI deployment. This partnership is intended to benefit Twilio's developer community, numbering over 10 million, alongside thousands of Microsoft's managed customers seeking to adopt advanced conversational interfaces. Conversational AI, powered by natural language processing and machine learning, enables machines to interpret and respond to human conversations with increasing sophistication. The technology addresses common business challenges such as limited data precision and integration barriers caused by outdated legacy systems. Twilio's expertise in communications, data, and AI will be paired with Azure's secure and scalable platform to assist enterprises in integrating conversational AI across various business functions. Specific areas of product development will include multi-channel AI agents for customer service automation, AI tools to assist live agents in contact centres, and solutions that enhance digital engagement between businesses and their clients. "Every interaction between a business and their customers is an opportunity to build loyalty and trust, and those interactions have been drastically improved by AI," said Inbal Shani, Chief Product Officer at Twilio. "Conversational AI enhances customer engagement by delivering precision for our customers, and rich and dynamic experiences for their consumers." The partnership will focus on building solutions using both Microsoft Azure AI Foundry and Twilio's engagement platform, which merges communications, contextual data, and AI. These solutions aim to enhance how enterprises automate customer interactions and drive more personalised engagement at scale. Asha Sharma, Corporate Vice President, Azure AI Platform at Microsoft, commented: "Azure AI Foundry enables customers to confidently scale AI including AI agents across their organisation with our enterprise-grade technologies and best practices that help manage risk, improve accuracy, protect privacy, reinforce transparency, and simplify compliance. Customers will see strong business value with the combination of Azure AI Foundry and Twilio's communications and data capabilities – the critical last mile connection between businesses and customers." Twilio is also introducing new conversational AI features, including ConversationRelay, which is now generally available. This tool allows developers to build sophisticated voice AI agents, integrating the latest in speech recognition, real-time streaming, and human-like responses. Additional updates include Conversational Intelligence, offering insights drawn from voice calls and message transcripts, which are available for voice communications and in private beta for messaging. Khozema Shipchandler, Chief Executive Officer at Twilio, spoke on the future of customer engagement: "We are facing the end of customer experience as we know it, and Twilio's heritage in CPaaS, CDP, and AI-powered capabilities has positioned us well for a new era of customer engagement. To be successful, every business needs the right infrastructure: communications channels to connect with customers, contextual data to understand them, and the ability to accelerate it all with AI in a way that's powerful, flexible, and trustworthy." Twilio has also previewed the next generation of its Customer Engagement Platform, designed to serve as the infrastructure underpinning all customer interactions. The platform will offer modular, interoperable systems that integrate with a range of AI ecosystems and support native large language model (LLM) integrations for greater efficiency. Additional product enhancements announced include the expansion of communications channels, with upcoming general availability of Rich Communication Services (RCS) and WhatsApp Business Calling, as well as the introduction of a Compliance Toolkit to help businesses adhere to global regulations such as the Telephone Consumer Protection Act (TCPA). Data residency enhancements were shared, with general availability of EU-based email data storage scheduled for July and SMS data residency in private beta later in 2025. Twilio's Segment Customer Data Platform (CDP) will receive a rearchitected journeys system for real-time, personalised customer engagement, alongside features such as event-triggered journeys, contextual payloads, strengthened observability, and native integrations with Twilio's messaging solutions. Segment announced two new preferred partnerships with Amplitude and Attribution App, expanding the analytics and marketing attribution options available to users of its CDP. Customer feedback was also highlighted. Dugan Winkie, Vice President and Head of Commercial Strategy at Cedar, stated: "ConversationRelay has been instrumental in helping us bring Kora, our AI voice assistant, to life. Twilio's real-time voice infrastructure, combined with our own data and AI, allows us to simplify the financial experience and meet patients with the same level of care, personalisation, and empathy they'd expect from a live agent—at scale." Bob Summers, founder and Chief Executive Officer of Goodcall AI, said: "Being named a Twilio AI Startup Searchlight honoree has super-charged Goodcall's credibility, turning recognition into real revenue growth and an even faster innovation cadence. Twilio's feature-rich, rock-solid platform is the backbone that lets our Voice AI delight customers at scale while we push the boundaries of what conversational automation can do. I'm excited to join the SIGNAL stage to share our journey and inspire developers to build the next wave of voice-first experiences." Twilio's recent developments reflect ongoing efforts to provide flexible, secure, and intelligent tools to support evolving business needs in customer engagement, personalisation, and compliance.
Techday NZ
07-05-2025
- Business
- Techday NZ
ServiceNow unveils AI Platform to unify operations
ServiceNow has introduced a new AI Platform designed to unify intelligence, data, and orchestration capabilities across its business offerings. The ServiceNow AI Platform incorporates several developments, including new solutions and technology integrations with industry partners like NVIDIA, Microsoft, Google, and Oracle. The enhancements aim to facilitate enterprise-wide orchestration and improve operational outcomes for ServiceNow's global clients. Among the new features, the platform now includes the AI Control Tower. This tool is a centralised command centre that enables organisations to govern, manage, and secure ServiceNow and third-party AI agents, models, and workflows via a unified interface. It is intended to provide seamless collaboration and oversight, contributing to automation at scale across enterprise environments. The AI Agent Fabric is another new component that functions as a backbone for enterprise AI ecosystems. Through this, AI agents can communicate and collaborate across varying teams, vendors, and tools within an organisation. The goal is to drive coordination and task sharing, regardless of whether ServiceNow, internal teams, or partners develop AI agents. ServiceNow has also announced an enhanced, AI-powered customer relationship management (CRM) offering. This offering brings together selling, fulfilment, and service operations on a single platform. The new CRM is designed to support customer interactions throughout their lifecycle by enabling businesses to move from reactive support to proactive engagement. Another notable development is the Apriel Nemotron 15B, a large language model (LLM) created in partnership with NVIDIA. This LLM and its data flywheel integration are intended to support scalable and efficient agentic AI, emphasising improved accuracy, lower latency, and reduced costs for businesses deploying advanced AI solutions. The company has also launched ServiceNow University, which aims to provide organisations with a new learner experience built to fuel business transformation and help employees develop the skills necessary to harness AI in their roles. "ServiceNow is igniting a new era of enterprise transformation with the ServiceNow AI Platform. We're unleashing the full power of AI, across any industry, any agent, any workflow. For decades, CEOs have wanted technology to accelerate the speed of business transformation. With this next generation architecture, we finally have the foundation to run the integrated enterprise in real time. We are the only ones who can orchestrate AI, data, and workflows on a single platform. Now is the moment to unlock tomorrow's opportunities with ServiceNow as the AI operating system of the 21st century," Bill McDermott, Chairman and Chief Executive Officer of ServiceNow, commented on the launch. ServiceNow reports that major organisations, including Adobe, Aptiv, the National Hockey League (NHL), Visa, and Wells Fargo, are deploying aspects of the AI Platform to streamline operations and enhance productivity. Adobe is using ServiceNow Agentic AI for workplace and IT automation, reducing ticket volumes and improving resolution times while planning to expand usage through additional ServiceNow solutions. Moreover, Aptiv is collaborating with ServiceNow to bring intelligent automation to mission-critical industrial operations. The NHL is utilising ServiceNow AI to improve issue resolution for staff and enhance fans' experiences during live events. Wells Fargo has adopted the platform's RaptorDB feature for automating complex workflows and enabling real-time data-driven decision making. Visa is rolling out a ServiceNow-built dispute management system that leverages AI agent-based capabilities. Research cited by ServiceNow suggests businesses adopting agentic AI have seen tangible benefits. According to the ServiceNow Enterprise AI Maturity Index 2025, 55% of organisations using agentic AI report improved gross margins, compared to 22% of organisations not considering such approaches. ServiceNow's expanded partner ecosystem and the introduction of thousands of ready-to-work AI agents are intended to help enterprises move from small-scale AI pilots to full implementation across their operations. The AI Engagement Layer, incorporating ServiceNow's Knowledge Graph, Workflow Data Fabric, and AI Agent Fabric, allows customers to execute complex tasks across systems by linking to enterprise data and agentic frameworks.
