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Analyticsindiamag
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ElevenLabs Powers Voice for Cisco’s Webex AI Agent, Transforming Customer Support
- ElevenLabs partners with Cisco to provide voice technology for the Webex AI Agent, enhancing customer support in enterprises.
- The collaboration focuses on integrating ElevenLabs’ expressive voice technology with Cisco’s Webex AI Agent to create a more engaging customer experience.
- Mati Staniszewski, CEO of ElevenLabs, emphasizes the importance of natural and expressive voices in AI agents to keep customers engaged.
- The Webex AI Agent uses advanced AI to understand customer needs, remember history, and adapt to preferences.
- Integration of ElevenLabs' voice technology allows the AI agent to respond to emotional cues and adapt its tone accordingly.
- Jay Patel from Cisco highlights the role of voice in humanizing interactions, bringing nuance and clarity with ElevenLabs' text-to-speech technology.
- Cisco's research identifies frustrations like repetitive explanations, inadequate chatbots, and long hold times.
- The collaboration aims to improve customer service by providing a more natural and dynamic AI experience.
- ElevenLabs’ technology, combined with Cisco’s systems, enables seamless integration with critical backend platforms.
- Cisco's focus is on delivering natural, responsive, and scalable AI-powered customer experiences.
- The partnership between ElevenLabs and Cisco aims to transform customer support using voice technology.
- The collaboration addresses frustrations like repetitive explanations, inadequate chatbots, and long hold times in customer service.
- Cisco's Webex AI Agent aims to provide human-like interactions through advanced AI.
- ElevenLabs' voice technology enhances the AI agent's ability to adapt its tone based on emotional cues.
- The integration of ElevenLabs' technology with Cisco's systems allows seamless interaction with backend platforms like CRM and ERP.
- Cisco and ElevenLabs focus on creating engaging and meaningful customer interactions through voice technology.
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Analyticsindiamag
2w
358
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Google Rolls Out AI Mode in India for Complex Search Queries
- Google introduces its experimental AI Mode in India on its Labs platform for asking complex, multi-part questions in Search.
- The AI Mode in India extends from a previous trial in the U.S. and incorporates Google's advanced AI capabilities into its search infrastructure.
- The feature uses a custom version of Gemini 2.5 to enable users to ask longer, layered questions, with testers already submitting queries that are two to three times longer than usual.
- Users can ask follow-up questions and access related web content within the AI Mode search experience.
- AI Mode employs advanced reasoning and multimodality to allow users to delve into topics more deeply, including through voice and image inputs.
- The tool dissects queries into subtopics and conducts multiple searches simultaneously, aiding in retrieving more precise information from the web.
- For instance, a user can upload a photo of a plant and ask about its care, to which AI Mode can identify the plant, providing detailed care instructions and relevant web links.
- AI Mode aligns with the increasing interest in AI-powered searches, with features like AI Overviews being used by over 1.5 billion users monthly, leading to over a 10% rise in specific query types in the U.S. and India where AI Overviews are active.
- Users in India, a significant market for Google Lens, can now utilize AI Mode to search via voice, images, or text for enhanced convenience.
- The integration of AI Mode blends AI-provided responses with Google's ranking systems; uncertain responses default to standard web results.
- Google acknowledges that initial AI products might not be perfect, aiming to refine AI Mode through user feedback while launched in Labs.
- This feature is presently accessible in English and requires users in India to sign up on Google Labs to utilize it.
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Medium
2w
260
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Difference Between Artificial Intelligence and Machine Learning
- Artificial Intelligence (AI) is a branch of computer science that aims to create intelligent machines capable of performing tasks requiring human intelligence.
- AI systems simulate human intelligence and can be rule-based or data-driven.
- Examples of AI include voice assistants like Siri, self-driving cars, and chatbots.
- Machine Learning (ML) is a subfield of AI that focuses on developing algorithms allowing computers to learn from data and make predictions without explicit programming.
- Key characteristics of ML include learning from historical data, improving accuracy over time, and requiring large datasets for training.
- Examples of ML include email spam filters, movie recommendations on Netflix, and product recommendations on Amazon.
- Real-life examples of AI vs. ML include a robot vacuum planning its cleaning path (AI) and predicting prices of used cars based on data (ML).
- Differences between AI and ML include the approach to problem-solving and the focus on learning from data.
- Understanding the distinctions between AI and ML is crucial for further advancements and application development in modern computing.
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VentureBeat
2w
103
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75 million deepfakes blocked: Persona leads the corporate fight against hiring fraud
- Sophisticated AI-powered fake candidates pose a significant threat to corporate hiring departments in the current remote work era.
- Persona, a San Francisco-based identity verification platform, is leading the charge against hiring fraud by introducing new tools to detect AI-generated personas and deepfake attacks during the hiring process.
- The company blocked over 75 million AI-based face spoofing attempts in 2024 alone and observed a 50-fold increase in deepfake activity in recent years.
- Cybersecurity professionals warn of an 'identity crisis' in remote hiring, predicting that by 2028, one in four candidate profiles globally will be fake.
- Persona's CEO emphasizes the importance of verifying candidate identities in real-time to combat state-sponsored actors and the insider threat for businesses.
- The enhanced workforce verification solution focuses on a 'multimodal' strategy across three layers: input, environmental context, and population-level patterns to identify fraudulent activity.
- Major technology companies have seen success with Persona's screening tools, achieving high levels of automated screening and preventing bad actors from accessing systems.
- The workforce identity verification market is projected to expand rapidly, with the global identity verification market expected to reach $21.8 billion by 2028.
- Persona's approach envisions a future where digital identity is established through accumulated behavioral history, making it harder for bad actors to create convincing false identities.
- The enhanced Persona Workforce IDV solution is available immediately, offering support for government ID verification in over 200 countries and territories.
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Analyticsindiamag
2w
674
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Vodafone, Cyient Launch AI-Powered Network Management Solution
- Vodafone and Cyient have launched VISMON, an AI-driven network management platform to improve network operations.
- VISMON aims to enhance network management efficiency through data-driven analytics and is a collaboration between Vodafone and Cyient.
- The platform unifies configuration data and inventory across multiple Vodafone markets, improving visibility and decision-making.
- Mostafa Noureldien from Vodafone highlighted VISMON's role in harmonizing practices and optimizing networks more effectively.
- VISMON has resulted in a 70% reduction in report compilation time and three times faster decision-making.
- It is expected to reduce errors from inconsistent configurations by 50%.
- The AI-powered platform integrates configuration data and inventory, boosting network management efficiency.
- Cyient's Joaquim Croca emphasized how the platform drives impact through intelligent automation and data-led insights.
- Vodafone and Microsoft's 10-year strategic partnership focuses on generative AI to provide digital platforms to millions of businesses, public sector organizations, and consumers.
- The partnership involves a $1.5 billion investment by Vodafone in cloud and customer-focused AI services developed with Microsoft.
- The collaboration will enhance Vodafone's customer experience, expand managed IoT connectivity, develop new digital services, and revamp global cloud strategy.
- The solution was highlighted on Analytics India Magazine.
- The eligibleForWebStory value is false since the content lacks a visually engaging or interactive element that is essential for a web story.
- The article provides insights into Vodafone and Cyient's partnership and the launch of the AI-driven networking platform, VISMON, focusing on its features and impacts.
- It also touches upon Vodafone's strategic partnership with Microsoft and their joint efforts in the field of generative AI.
- Overall, the news highlights industry collaborations aimed at leveraging AI and data analytics for network management and digital services.
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Analyticsindiamag
2w
429
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HCLTech Partners with AMD to Develop Future-Ready AI and Cloud Tools
- HCLTech and AMD have entered a strategic alliance to accelerate enterprise digital transformation globally in AI, digital, and cloud solutions.
- The collaboration aims to build a strong digital ecosystem to enhance customer experience and drive enterprise digital transformation.
- HCLTech and AMD plan to co-invest in innovation labs and training programs to offer innovative tools for businesses.
- Joint development centres established through this alliance will facilitate testing of advanced technologies for enterprise tools.
- Training and reskilling initiatives are part of the collaboration to prepare enterprises for the evolving digital landscape.
- Lisa Su, AMD's chair and CEO, highlighted that the alliance will deliver technology solutions to drive innovation and growth.
- Vijayakumar C, CEO of HCLTech, emphasized the collaboration's aim to deliver cloud-native innovation from silicon to application.
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Analyticsindiamag
2w
21
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Greyparrot Launches an AI Platform to Help Brands Track $100 Billion Worth of Lost Recyclables
- Greyparrot has launched Deepnest, an AI platform aiming to help brands track their recyclable waste for insights.
- Deepnest provides brands with real-world data on their products' recyclability, offering advantages in product innovations and competitive benchmarking.
- The platform tracks how packaging moves through the waste system, showing sorting, recycling, and losses based on data-led insights.
- Big conglomerates like Unilever, Amcor, and Asahi Beverages are trialling Greyparrot's technology to adapt to changing waste management scenarios.
- Deepnest utilizes a comprehensive household packaging waste database, processing over 40 billion waste items annually across various countries.
- It aims to uncover up to $100 billion in recyclable value by 2040, enabling scalable and data-driven circularity.
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Analyticsindiamag
2w
209
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GenXAI Acquires SoftGrid Computers to Expand its Innovation
- GenXAI, an AI-powered enterprise performance management (EPM) solution provider, has acquired SoftGrid Computers, a leader in application development and web design.
- The acquisition aligns with GenXAI's vision, innovation, and global ambition, enhancing its capabilities in advanced mobile application development.
- GenXAI aims to build cutting-edge, AI-driven platforms across diverse digital ecosystems through this strategic move.
- The collaboration combines GenXAI's AI-driven expertise with SoftGrid's decade-long legacy in digital solutions.
- Rakesh Agarwal, founder of GenXAI, expressed the vision of redefining the future of technology through the acquisition.
- Ajay Golani, co-founder of SoftGrid, highlighted the opportunity to amplify their vision with AI technology for impactful digital experiences.
- Both companies plan to develop AI-infused technologies, expand globally, and support startups, enterprises, and governments in the digital-first world.
- The acquisition marks a significant step in GenXAI's business strategy and innovation efforts.
- GenXAI is already delivering innovative solutions through collaborations with platforms like Anaplan and SAP.
- The strategic move strengthens GenXAI's position in the market and opens new growth avenues.
- The collaboration represents the beginning of a transformative journey in technology for both GenXAI and SoftGrid.
- The companies aim to leverage AI capabilities to stay ahead in the digital era.
- The combined expertise of GenXAI and SoftGrid aims to drive impactful digital transformations.
- The acquisition is expected to pave the way for enhanced digital experiences and innovative solutions.
- Both companies are focused on developing cutting-edge technologies and expanding their reach in international markets.
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Medium
2w
375
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A 5-Step Prompt To Land More Data Job Interviews
- A 5-step prompt designed for Google Gemini to enhance landing more data job interviews.
- The prompt involves feeding information to an AI Agent, aligning job roles with resume summaries, updating resume for stronger applications, and ranking job matches based on descriptions.
- The strategy includes engaging in conversations with the AI agent for detailed resume refinement and highlighting key skills.
- The approach focuses on iterating over an existing resume for impactful improvements.
- The prompt aims to streamline the data recruiting process and optimize resume content.
- It encourages personalized interactions with AI to enhance application success.
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Medium
2w
220
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AI Is Rewriting the Rules — and We’re Still Playing the Old Game
- Much of the discourse around AI focuses on regulation and guarding against its impact on jobs and skills, as well as its influence on creative fields.
- AI is challenging the long-standing link between economic value and human labor by automating various tasks traditionally performed by humans.
- The rapid evolution of AI surpasses the pace of regulatory frameworks, creating challenges for governance and ethics.
- AI blurs the boundaries between real and artificial through tools like deepfakes, impacting trust in information and conversations.
- Algorithms designed for engagement on platforms like TikTok can lead to a loss of agency, but could potentially be redirected to support user autonomy.
- AI's ability to generate content challenges traditional educational structures, raising questions about the purpose of education in a world of automation.
- The rise of AI prompts reflections on the role of humans in a future where machines may equal or surpass human intelligence across domains.
- The ongoing disruption caused by AI is not just economic but existential, prompting a reexamination of human identity and purpose.
- As AI reshapes societal systems, there is a need to reimagine frameworks to navigate a future that is already changing rapidly.
- While fear is common in response to such transformative change, it also serves as a catalyst for envisioning a new, more adaptive future.
- The current uncertainty may signify the early stages of a profound systemic transformation towards a future yet to be fully understood.
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Analyticsindiamag
2w
276
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When OpenAI Hired an Illusionist and a Magician to Build ChatGPT
- OpenAI recently released a podcast featuring CEO Sam Altman, where the host, Andrew Mayne, a former magician, played a key role in developing ChatGPT.
- Andrew Mayne's career transitioned from being a magician, illusionist, and author to venturing into AI consulting after his time at OpenAI.
- Mayne's expertise in magic and illusion effects, along with being a bestselling novelist, contributed to his work at OpenAI.
- He combined magic and science to teach critical thinking skills in schools through his 'Wizard School' program.
- Mayne's early interest in science and entertainment led him to experiment with chatbots and technology in his magic tricks.
- His involvement in a Discovery Channel project involving shark camouflage paved the way for his interest in AI.
- Mayne's curiosity about AI models and GPT systems led him to OpenAI, where he played a significant role in developing GPT-3.
- He contributed to building prompts for GPT-3, writing documentation, and developing AI chatbots for OpenAI.
- Mayne's diverse background as a magician, author, and science communicator proved valuable in his work at OpenAI.
- After his tenure at OpenAI, Mayne now runs an AI consultancy firm, Interdimensional, helping companies with AI solutions.
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Medium
2w
146
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Agentic AI Training in Ameerpet | Agentic AI Course Online
- Agentic AI systems can perceive environments, make decisions, and take actions independently, revolutionizing data science.
- This advancement allows for autonomous systems in sectors like healthcare, finance, marketing, and logistics, transforming business operations.
- Agentic AI empowers machines to act as decision-making agents, enhancing productivity, accuracy, and scalability in data science.
- Mastering Agentic AI concepts opens doors to advanced roles and impactful projects for data science professionals.
- The course covers foundational data science and advanced Agentic AI concepts with practical, hands-on experience.
- Agentic AI Online Training offers a structured path to mastery from home, featuring interactive sessions, real-time projects, and mentor support.
- Skills gained in Agentic AI find applications in sectors like healthcare, finance, marketing, logistics, and more, boosting career opportunities.
- Course highlights include a balance of theoretical depth and real-world implementation, making it globally accessible.
- The course is suitable for individuals looking to contribute to innovative projects and explore advanced career opportunities.
- Understanding Agentic AI is crucial for those aiming to lead tech transformations, with enrollment in a course offering future tech career prospects.
- Enrolling in an Agentic AI course presents the opportunity to upgrade AI capabilities, boost careers, and enhance data science skills.
- VisualPath offers Agentic AI Online Training designed for global access, providing in-depth knowledge and hands-on experience.
- The course is ideal for professionals across various backgrounds, equipping them with the tools to excel in AI-focused job markets.
- Agentic AI is reshaping and defining the future of technology, with intelligent systems leading autonomous and responsive advancements.
- Learning Agentic AI now prepares individuals for impactful tech careers, emphasizing the importance of skill development for the future.
- To enhance AI capabilities, boost careers, or advance in data science, enrolling in an Agentic AI course at VisualPath is recommended.
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Analyticsindiamag
2w
315
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Salesforce Launches Agentforce 3 with MCP to Tackle AI Agent Scalability in Enterprises
- Salesforce has launched Agentforce 3, an updated AI agent platform aimed at enterprise-scale adoption.
- Agentforce 3 introduces the Agentforce Command Centre for monitoring and optimizing AI agent performance.
- Over 8,000 customers have benefited from Agentforce deployments, including notable companies like Engine, Grupo Globo, and 1-800Accountant.
- Grupo Globo reported a 22% increase in subscriber retention, Engine reduced customer case handle time by 15%, and 1-800Accountant saw autonomous resolution of 70% of chat engagements.
- The Command Centre provides analytics on latency, alerts, and integrates with tools like Datadog and Splunk.
- Agentforce Studio supports AI-assisted development and simulation of agent behavior.
- Agentforce 3 now supports Model Context Protocol (MCP) for interoperability with external systems.
- The AgentExchange platform includes over 30 partners for connecting agents with external services.
- Healthcare institutions like UChicago Medicine are automating routine interactions using AI tools to focus on complex needs.
- AI agent usage has surged 233% in the last six months, driving Salesforce's updates in observability and governance.
- Salesforce plans to roll out department-specific Command Centre configurations starting with Service Cloud to track agent performance.
- Agentforce 3 is globally available now with flexible pricing to accelerate enterprise adoption.
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Medium
2w
680
Healthcare AI Implementation: Lessons from JP Morgan’s $25 Billion AI Agent
- JP Morgan unveiled the technical architecture of an AI agent called “Ask David” for managing investment assets.
- The author, with over 15 years of experience implementing data science in health systems, notes flaws in healthcare AI implementation approaches.
- The healthcare industry handles human lives, complex regulations, and resource constraints, making AI implementation crucial.
- Lessons from JP Morgan's AI implementation can help improve healthcare AI strategies.
- Implementing AI in healthcare necessitates an understanding of data biases, privacy regulations, and ethical implications.
- Healthcare organizations need to consider clinical validation, ethical use, equitable access, and patient privacy when adopting AI.
- The healthcare sector can learn from financial institutions like JP Morgan about AI governance and risk management.
- AI in healthcare requires rigorous testing, stakeholder engagement, and transparency to ensure efficacy and safety.
- AI failures in healthcare can have severe consequences, highlighting the need for robust implementation strategies.
- Regulatory and legal counsel should be consulted by healthcare organizations before integrating AI solutions.
- There are similarities between financial services and healthcare in AI implementation, but healthcare involves higher stakes.
- The article emphasizes that the content does not provide medical advice and should not replace established care protocols.
- The discussion on AI focuses on administrative and operational applications in healthcare settings.
- Implementing AI in healthcare must align with established care protocols and clinical judgment.
- The author highlights the significance of understanding regulatory requirements in healthcare AI implementation.
- The article underlines the importance of consultation with appropriate legal counsel prior to AI integration in healthcare.
- Healthcare organizations should prioritize ethical AI use, patient privacy, and compliance with regulations in their AI strategies.
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Analyticsindiamag
2w
60
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NASA Selects Andhra’s Jahnavi Dangeti for Space Mission in 2029
- Jahnavi Dangeti, a 23-year-old engineer from Andhra Pradesh, has been chosen as an Astronaut Candidate for the Titans Space Astronaut Class of 2025.
- Dangeti will undergo an intensive multi-year training program to prepare for space missions focused on advancing science and human exploration.
- Her training, starting in 2026, will cover various aspects such as spacecraft systems, mission simulations, and emergency procedures, among others.
- The first orbital mission in 2029 will be led by NASA astronaut William McArthur Jr. as the chief astronaut at Titans Space.
- The mission will include multiple Earth orbits, sustained weightlessness, and opportunities for scientific research.
- Dangeti expressed her gratitude to Titans Space Industries Inc. and mentors for the opportunity to be part of this mission.
- She completed NASA's International Air and Space Program at Kennedy Space Centre and was the first Indian to achieve this.
- Dangeti served as the mission director for 'Team Kennedy' successfully launching a miniature rocket during her training.
- Apart from NASA training, she also completed the Analog Astronaut Training Centre programme in Poland, setting a record.
- The Titans Space Astronaut Class of 2025 focuses on preparing astronauts for human spaceflight and scientific research in microgravity.
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