Latest news with #ConversationalAI
Geeky Gadgets
2 days ago
- Business
- Geeky Gadgets
ChatGPT Plus vs. Copilot Pro: The Essential AI Decision Guide for 2025
Choosing between ChatGPT Plus and Copilot Pro requires a clear understanding of their unique capabilities and intended use cases. Both tools use advanced artificial intelligence to enhance productivity, but they cater to distinct audiences and purposes. The video below from Simple Alpaca provides an in-depth comparison of their features, strengths, and ideal applications to help you make an informed decision. Watch this video on YouTube. ChatGPT Plus: A Versatile Conversational AI ChatGPT Plus, the premium offering from OpenAI, is designed to elevate conversational AI to new levels of performance. Its core strength lies in its advanced natural language processing (NLP) capabilities, allowing it to generate human-like text with remarkable fluency and coherence. Whether you're brainstorming ideas, drafting content, or seeking answers to complex questions, ChatGPT Plus delivers responses that are both contextually relevant and easy to understand. For professionals aiming to streamline their workflows, ChatGPT Plus offers several advantages over the free version, including faster response times and improved reliability. It is particularly effective for tasks such as: Drafting emails or documents: Save time by generating polished, professional text quickly. Save time by generating polished, professional text quickly. Generating creative content ideas: Explore innovative concepts for projects, articles, or campaigns. Explore innovative concepts for projects, articles, or campaigns. Exploring technical or non-technical topics: Engage in conversational interactions to deepen your understanding of various subjects. While ChatGPT Plus is not specifically designed for programming, it can process and explain technical concepts effectively, making it a flexible tool for users across diverse industries. Its versatility ensures it can adapt to a wide range of professional and personal applications. Copilot Pro: AI-Powered Coding Assistance Copilot Pro, developed by GitHub in collaboration with OpenAI, is a specialized tool tailored for software developers. Its primary focus is on providing intelligent coding assistance, offering features that streamline the development process. By analyzing the context of your codebase, Copilot Pro can: Suggest relevant code snippets: Quickly generate code suggestions that align with your project requirements. Quickly generate code suggestions that align with your project requirements. Automate repetitive coding tasks: Reduce time spent on routine tasks, such as writing boilerplate code. Reduce time spent on routine tasks, such as writing boilerplate code. Help identify and resolve errors: Enhance debugging efficiency by offering insights and solutions. One of Copilot Pro's standout features is its seamless integration with popular development environments like Visual Studio Code. This ensures developers can incorporate it into their workflows without disruption. Whether you're writing new code or maintaining legacy systems, Copilot Pro enhances productivity by allowing you to focus on solving complex challenges rather than getting bogged down by repetitive tasks. Key Factors to Consider When deciding between ChatGPT Plus and Copilot Pro, it's essential to evaluate your specific needs and priorities. Consider the following factors: Target Audience: ChatGPT Plus is ideal for individuals seeking a versatile conversational AI for general tasks, while Copilot Pro is specifically designed for developers working on software projects. ChatGPT Plus is ideal for individuals seeking a versatile conversational AI for general tasks, while Copilot Pro is specifically designed for developers working on software projects. Primary Use Cases: ChatGPT Plus excels in natural language processing, making it suitable for creative writing, brainstorming, and knowledge exploration. Copilot Pro focuses on coding assistance, offering tools for code generation and debugging. ChatGPT Plus excels in natural language processing, making it suitable for creative writing, brainstorming, and knowledge exploration. Copilot Pro focuses on coding assistance, offering tools for code generation and debugging. Workflow Integration: Copilot Pro integrates directly into development environments, streamlining the coding process. ChatGPT Plus operates as a standalone conversational tool, offering flexibility across various tasks. Copilot Pro integrates directly into development environments, streamlining the coding process. ChatGPT Plus operates as a standalone conversational tool, offering flexibility across various tasks. Pricing and Value: Both tools require a subscription, but their value depends on your specific needs. Developers may find Copilot Pro indispensable for its coding features, while ChatGPT Plus appeals to users seeking a broader range of applications. By carefully assessing these factors, you can determine which tool aligns best with your professional or personal objectives. Which Tool Is Right for You? The choice between ChatGPT Plus and Copilot Pro ultimately depends on your goals and the nature of your work. If your focus is on creative tasks, brainstorming, or exploring ideas, ChatGPT Plus offers a robust conversational AI experience. Its versatility makes it a valuable asset for professionals in fields such as content creation, education, and customer support. Conversely, if you are a developer or work extensively with code, Copilot Pro is likely the better fit. Its ability to generate code, debug errors, and integrate seamlessly with development tools can significantly enhance your productivity and simplify your workflow. By automating repetitive tasks and providing intelligent suggestions, Copilot Pro allows you to concentrate on solving complex programming challenges. Both tools represent significant advancements in AI technology, but their strengths cater to different needs. By evaluating your specific requirements—whether they involve natural language processing or programming support—you can choose the tool that best enables you to achieve your goals efficiently and effectively. Below are more guides on ChatGPT Plus from our extensive range of articles. Source & Image Credit: Simple Alpaca Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Geeky Gadgets
4 days ago
- Business
- Geeky Gadgets
ElevenLabs Introduces New Conversational AI 2.0 : Redefining Human-Machine Conversations
What if the next conversation you had with artificial intelligence felt as natural as chatting with a close friend? With the unveiling of ElevenLabs Conversational AI 2.0, this vision is no longer confined to the realm of science fiction. This innovative innovation promises to redefine how we interact with machines, blending advanced language comprehension with an uncanny ability to simulate human-like dialogue. Imagine an AI that not only understands your words but also the subtle context and tone behind them—whether it's resolving a customer service issue, guiding a student through a complex concept, or offering empathetic support in a healthcare setting. This isn't just an upgrade; it's a bold leap toward a future where human-AI collaboration feels seamless and intuitive. In this overview, we'll explore how ElevenLabs' latest breakthrough is setting a new standard for conversational systems. From its enhanced natural language processing to its ability to adapt across industries, Conversational AI 2.0 is as versatile as it is fantastic. Whether you're curious about its potential to transform customer service, streamline content creation, or even draft legal documents, this technology offers something for everyone. But what truly sets it apart is its focus on fostering trust and engagement through lifelike interactions. As we unpack its features and applications, one question lingers: how will this innovation reshape the way we connect with technology—and with each other? ElevenLabs Conversational AI 2.0 Advancing Language Understanding and Generation At the core of Conversational AI 2.0 lies its enhanced natural language understanding (NLU) and natural language generation (NLG) capabilities. These improvements empower the AI to process intricate language patterns with exceptional accuracy, making sure responses are both contextually relevant and precise. For instance: In customer service, the AI can interpret subtle nuances in user queries, minimizing misunderstandings and expediting issue resolution. In technical support, it can follow detailed instructions and deliver accurate, step-by-step solutions tailored to user needs. This advanced level of comprehension and response generation ensures smoother, more efficient interactions, making the technology a critical asset for businesses and end-users alike. By addressing complex communication challenges, Conversational AI 2.0 enhances operational efficiency and user satisfaction. Simulating Human-Like Conversations A standout feature of Conversational AI 2.0 is its ability to simulate human-like dialogue. By incorporating tone, context awareness, and adaptability, the system creates interactions that feel natural and intuitive. This capability bridges the gap between human and machine communication, fostering trust and engagement. Industries that rely on empathy and precision particularly benefit from this innovation: In healthcare, the AI can engage in empathetic conversations, improving patient communication and providing emotional support. In education, it adapts to individual learning styles, offering personalized guidance and enhancing the learning experience. By replicating the nuances of human conversation, this technology not only improves communication but also strengthens relationships between users and AI systems. IElevenLabs Conversational AI 2.0 Overview Watch this video on YouTube. Take a look at other insightful guides from our broad collection that might capture your interest in conversational AI. Versatile Applications Across Industries Conversational AI 2.0 is designed to meet the diverse demands of various industries, showcasing its adaptability and versatility. Its applications span multiple domains, offering practical solutions to complex challenges: Customer Service: Streamlining support processes with quick, accurate responses to inquiries, reducing wait times and improving customer satisfaction. Streamlining support processes with quick, accurate responses to inquiries, reducing wait times and improving customer satisfaction. Content Creation: Assisting writers by generating high-quality material, saving time and enhancing productivity. Assisting writers by generating high-quality material, saving time and enhancing productivity. Specialized Tasks: Drafting legal documents, providing personalized financial advice, and facilitating real-time translation for global communication. These capabilities make Conversational AI 2.0 an indispensable tool for businesses aiming to optimize operations, enhance service delivery, and maintain a competitive edge in their respective markets. Seamless Integration and User-Centric Design A key focus of this update is its user-centric design, making sure that Conversational AI 2.0 integrates effortlessly into existing workflows. Its intuitive interface and responsive design make it accessible across various platforms, including desktops, mobile devices, and integrated systems. For users new to AI, the system's simplicity ensures a smooth onboarding process. Meanwhile, experienced users benefit from its advanced features and customizable options. This balance between accessibility and functionality highlights ElevenLabs' commitment to creating technology that caters to a broad audience, regardless of technical expertise. Driving Innovation Through Technological Advancements Conversational AI 2.0 represents a significant leap in AI development, using innovative machine learning algorithms and robust data processing capabilities. These advancements enable the system to exceed current industry standards and address complex challenges across multiple domains. Beyond conversational capabilities, the system offers additional features: Real-time translation, facilitating seamless global communication. Predictive analytics, empowering businesses with data-driven decision-making tools. Adaptive learning, delivering personalized user experiences tailored to individual preferences. These technological innovations position Conversational AI 2.0 as a fantastic force in the tech landscape, capable of reshaping industries and driving progress in human-AI collaboration. Shaping the Future of Human-AI Collaboration ElevenLabs Conversational AI 2.0 is more than an upgrade—it is a reimagining of how humans interact with artificial intelligence. With its enhanced language capabilities, human-like conversational skills, and broad applicability, this technology is poised to transform industries and redefine user experiences. Whether you are a business leader seeking operational efficiency, a content creator exploring innovative tools, or an individual looking to use AI-driven solutions, Conversational AI 2.0 offers a powerful glimpse into the future of human-AI interaction. Its ability to seamlessly integrate into workflows, adapt to diverse needs, and deliver meaningful results underscores its potential to shape the next era of artificial intelligence. Media Credit: ElevenLabs Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Yahoo
17-05-2025
- Business
- Yahoo
Did Nvidia Make a Colossal Mistake by Selling SoundHound AI Stock?
SoundHound AI stock surged by almost 30% since the company reported its financial results for the first quarter of 2025. Nvidia owned 1.73 million shares in SoundHound AI, but the chip giant sold its entire stake toward the end of 2024. SoundHound's business is growing rapidly, but that doesn't mean Nvidia made the wrong move by selling the stock. 10 stocks we like better than SoundHound AI › Nvidia (NASDAQ: NVDA) added an eye-popping $2.8 trillion to its market capitalization since the start of 2023, thanks to soaring demand for its data center chips that are the best in the world for developing artificial intelligence (AI). The company also invested in a portfolio of other AI stocks, and SoundHound AI (NASDAQ: SOUN) was one of them. SoundHound is a specialist in conversational AI, and it has an impressive list of customers that includes some of the biggest brands in the world from industries like hospitality and car manufacturing. But when Nvidia filed its 13-F with the Securities and Exchange Commission for the final quarter of 2024, SoundHound stock was notably missing -- it turns out the chip giant sold its entire stake toward the end of last year. SoundHound recently reported its latest financial results for the first quarter of 2025 (ended March 31), and its stock soared by almost 30% since. Did Nvidia sell its position too early? SoundHound's conversational AI technology understands voice prompts and can respond in kind, and it has been deployed by some of the biggest businesses in the world to transform the way we interact with our devices, our cars, and even our favorite restaurants. SoundHound is active in almost 13,000 quick-service restaurants, operated by chains like White Castle, Chipotle, and Papa John's. Its Voice AI technology can autonomously take orders from customers over the phone, in-store, and in the drive-thru, reducing the workload on employees so they can spend more time on other tasks. SoundHound also offers a product called Employee Assist, which stands ready to provide workers with information on menu items and in-store procedures. In the automotive industry, SoundHound's Chat AI in-car voice assistant is used by top brands like Hyundai, Kia, and Stellantis (the owner of Chrysler, Jeep, and Dodge). It can answer questions on a broad range of topics, and it can also provide-real time information on sports scores and stock prices. SoundHound also launched a new platform called Voice Commerce earlier this year, which allows drivers to place food orders from the comfort of their vehicle. It can even recommend restaurants and provide directions using the car's GPS system. SoundHound expanded its product portfolio even further when it acquired another AI company called Amelia in August last year. Amelia's platform allows businesses to create custom AI agents that can be deployed to serve customers or even help employees with specific tasks. It's used in industries like healthcare, financial services, insurance, and more, which is helping SoundHound diversify its revenue base. SoundHound generated $29.1 million in total revenue during the first quarter of 2025, which was a whopping 151% increase from the year-ago period. The inclusion of Amelia's revenue boosted the result, but the company also continued to experience broad demand for its core products. Management is no longer updating investors on SoundHound's order backlog, but CFO Nitesh Sharan said it continued to grow from the previous quarter three months earlier, when it was an eye-popping $1.2 billion. The company expects to convert that backlog into revenue over a period of six years, so it could be a great predictor of future top-line results. The strong first-quarter results prompted SoundHound to reaffirm its full-year guidance for 2025, suggesting revenue could soar 97% year over year to $167 million (at the midpoint of the forecasted range). Nvidia never disclosed why it sold SoundHound stock, but its current valuation is one reason investors might want to steer clear for now. It trades at a price-to-sales (P/S) ratio of 40.8 as of this writing, which makes it significantly more expensive than Nvidia itself. That doesn't make much sense considering the AI chip giant is one of the highest-quality companies in the world, with a track record of success spanning decades: SoundHound stock looks a little less expensive if we value it using its future potential revenue. If we assume the company generates $167 million this year as management expects, that places its stock at a forward P/S ratio at 27.1. But considering that figure is still higher than Nvidia's P/S ratio today, I definitely wouldn't say the stock looks attractive. Plus, SoundHound's bottom line poses a key risk. The company generated a rare profit of $129 million on a generally accepted accounting principles (GAAP) basis during the first quarter, but only because of a $176 million benefit relating to one of its acquisitions. On a non-GAAP basis, which excludes one-off and non-cash components, SoundHound still lost $22.3 million, which was a 10% increase from the year-ago period. SoundHound had $246 million in cash and equivalents on hand at the end of the quarter, so it can afford to keep losing money at the current pace for the next couple of years. However, if the company does require more cash in the future, it might have to issue more stock, which would result in significant dilution for existing shareholders. Nvidia only held 1.73 million shares in SoundHound, which would have been worth just $19.5 million based on its current stock price. Considering Nvidia is nearly a $3.3 trillion company, even a complete loss probably wouldn't have affected its finances at all. Even though we don't know why Nvidia sold its entire stake, SoundHound's valuation is enough reason for investors to tread very carefully if they are looking to buy. Before you buy stock in SoundHound AI, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and SoundHound AI wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $620,719!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $829,511!* Now, it's worth noting Stock Advisor's total average return is 959% — a market-crushing outperformance compared to 170% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of May 12, 2025 Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Chipotle Mexican Grill and Nvidia. The Motley Fool recommends Stellantis and recommends the following options: short June 2025 $55 calls on Chipotle Mexican Grill. The Motley Fool has a disclosure policy. Did Nvidia Make a Colossal Mistake by Selling SoundHound AI Stock? was originally published by The Motley Fool
Forbes
16-05-2025
- Business
- Forbes
Why Data Has Never Mattered More For ServiceNow's AI-Driven Strategy
At Knowledge 2025, ServiceNow launched its AI platform, built to use any AI, agent or model across ... More the enterprise — driven by unified, real-time data. At its Knowledge 2025 event last week, ServiceNow made it clear that it is not simply adding AI to existing workflows, but rethinking how enterprise systems operate. Central to this strategy is the new ServiceNow AI Platform, which sits above traditional systems like ERP, SCM and CRM to unify intelligence, data and orchestration across the business. The company has gone even further in CRM specifically. Fully integrated with ServiceNow's Core Business Suite, which covers finance, procurement, HR and customer service, the company's new AI-powered CRM is not a standalone tool but part of a broader system that connects front- and back-office operations in real time. By linking CRM to critical enterprise systems, the platform is designed to break down silos and reduce friction between customer engagement and operational execution. Meanwhile, ServiceNow offerings such as Workflow Data Fabric and AI Agent Fabric, along with features like the AI Control Tower and a conversational AI engagement layer, enable AI agents to coordinate work across tools, teams and vendors. With these innovations, ServiceNow is aiming to fundamentally change how work flows across the enterprise, moving from fragmented AI pilot projects to full-scale, orchestrated AI execution. Let's take a closer look at some of ServiceNow's recent innovations and the impact they could have on its customers. (Note: ServiceNow is an advisory client of my firm, Moor Insights & Strategy.) For years, ServiceNow's strategy has been to provide cloud-based solutions that connect processes, systems and data across the enterprise. With the introduction of the ServiceNow AI Platform, organizations can now embed AI directly into workflows that cut across institutional silos — deploying and managing AI agents and other tools to make AI practical and accessible across business functions. The platform integrates with technology from partners such as Nvidia, Microsoft, Google and Oracle to ensure compatibility with a broad range of AI ecosystems and use cases. This flexibility aims to allow real-time orchestration of thousands of AI agents without vendor lock-in. There are countless operational scenarios for how this could play out, but one example would be a manufacturer integrating ServiceNow AI agents with Microsoft Azure-based forecasting models. Without any human intervention, these agents can automatically flag inventory risks, trigger procurement workflows and open supplier service requests in the SCM system. Meanwhile, a customer support team can deploy autonomous agents trained on Salesforce and ServiceNow data to classify support tickets and generate AI-driven resolutions —working across systems without needing to leave the ServiceNow environment. If it works as planned, this approach could have a major impact on the ways that enterprises create and manage cross-functional workflows — and ServiceNow believes that this kind of orchestration can ultimately unlock trillions of dollars' worth of productivity gains. As businesses use more and more AI tools and agents, ServiceNow has introduced two products to help them manage all this — the AI Control Tower and the AI Agent Fabric. These tools work together to create a secure and structured approach to using AI throughout the organization. The AI Control Tower is a centralized command center that enables companies to oversee all AI models, agents and workflows, regardless of whether they originate from ServiceNow or third parties. This visibility helps ensure that AI deployments are secure, compliant and aligned with business objectives. Enterprises can use AI Control Tower to govern how agents work, what data they use and how well they perform. The AI Control Tower should also help prevent AI from spreading out uncontrollably — and, in the bigger picture, give stakeholders confidence in the decisions made using AI. The AI Agent Fabric enables communication and orchestration among multiple AI agents and models across different vendors and corporate departments. It supports interoperability across ecosystems, allowing agents from ServiceNow to collaborate with agents and systems from partners such as Accenture, Adobe, Cisco, IBM, Microsoft and UKG. Its design supports distributed AI environments, enabling workflows to span CRM, IT, HR, legal and supply chain without silos or duplicated logic. At the Knowledge 2025 conference, ServiceNow announced two other key updates to strengthen how organizations manage and use data. First, it launched the Workflow Data Network, which builds on the existing Workflow Data Fabric by connecting data from more than 100 partners, including AWS, Microsoft, Oracle and Boomi. It enables real-time, two-way data exchange and lets workflows respond to live business events — helping systems across departments stay in sync without manual coordination. Second, ServiceNow shared plans to acquire a cloud-native platform for data cataloging and governance. By adding this to its own platform, ServiceNow will offer stronger tools for tracking data lineage, managing access and ensuring compliance, all of which is especially useful in regulated industries like healthcare, finance and government. Another example of how this could be used would be a global logistics company that uses Oracle for ERP, AWS for SCM and ServiceNow for IT operations. Using the Workflow Data Fabric and Workflow Data Network, the company could unify shipping and billing data in real time. Suppose an order is delayed due to a supplier issue detected in AWS. In that case, a ServiceNow AI agent could immediately flag the disruption, notify the customer via CRM, trigger a supplier service ticket and alert finance to adjust payment timelines — based on live, federated data and executed without duplicating records. ServiceNow also introduced its Core Business Suite, an AI-enabled solution that brings key business functions — such as finance, procurement, HR, legal and facilities management — onto one platform. It is designed to help organizations automate back-office processes and improve coordination across teams without needing a complete ERP replacement. The Core Business Suite, powered by AI agents and real-time data, supports tasks like finance case management, service requests and purchase and expense approvals. It replaces e-mail threads and manual ERP workarounds with AI-driven workflows that automatically create, route and manage cases such as invoice discrepancies or payment delays to the appropriate teams. For instance, if a supplier invoice doesn't match the purchase order, the system flags the issue, opens a case and uses AI to analyze procurement records, contract terms and payment history to suggest a resolution. Suppliers are kept informed through real-time updates, helping reduce delays and miscommunication. The solution brings structure, automation and visibility to unstructured finance tasks without needing to replace the ERP system, providing a single place for teams to monitor and act on finance-related work with AI support. ServiceNow is also expanding its portfolio of industry-specific AI agents and workflow solutions to address the needs of complex vertical industries. These purpose-built capabilities are designed for sectors where process depth, compliance and ecosystem coordination are essential, such as manufacturing, supply chain, banking, telecom and the public sector. A primary focus is on SCM and manufacturing. ServiceNow's Manufacturing Commercial Operations product (as I previously wrote about) helps manufacturers automate core sales, service and support workflows, reducing administrative load and improving response times. Meanwhile, the new Channel Operations module manages and automates warranty claims, resolves product defect complaints, service delays and return authorization issues and fosters collaboration between OEMs and their dealer or distributor networks. In tandem, the platform's Supply Chain Optimization features use real-time data and AI to spot problems, suggest fixes and make logistics smoother. This is especially helpful in fast-paced settings where global delays or mistakes can spread. ServiceNow also launched Industry AI Agents tailored for banking, telecom and public sector use cases. These agents automate specialized workflows such as dispute resolution in financial services (co-developed with Visa), service management for technology providers and case handling in public sector agencies. The company says that these tools allow organizations to handle high volumes of complex cases while improving resolution time, transparency and regulatory compliance. ServiceNow's updates at Knowledge 2025 show a clear push to make AI and data more usable across the enterprise, not just in isolated projects but as an essential part of everyday operations. And by offering tools such as the AI Control Tower, Workflow Data Network and Core Business Suite, ServiceNow is giving organizations a way to modernize without needing to rip out what already works. The real business impact will be measured in how these tools help teams work smarter, with faster issue resolution, better data visibility and less time spent on manual tasks. That said, challenges remain. Integrating AI across departments isn't just a technology issue — it requires strong data governance, change management and accountability. And while ServiceNow definitely makes this easier, companies still need to put in the effort to align systems, people and workflows. Although ServiceNow has achieved impressive growth and customer loyalty in recent years, the jury is still out on whether its new offerings will be as disruptive as it claims. Ultimately, though, the message I take from the new offerings discussed here is simple: if data is the foundation of AI, then making that data usable, governed and connected is the real path to transformation. ServiceNow is moving in that direction — and so should its customers.
