Latest news with #AIStudio
Yahoo
19 hours ago
- Business
- Yahoo
HBAR Climbs 2.1% as Traders Digest ETF Review, AI Launch, and Energy Governance Move
Hedera's native token HBAR HBAR extended its rally on Sunday, trading up 2.1% to $0.1519 as of 19:56 UTC on June 30, according to CoinDesk Research's technical analysis model. The move follows a flurry of ecosystem updates that broaden Hedera's enterprise reach and reinforce its growing footprint in AI, gaming, and sustainability. On June 24, Blockchain for Energy (B4E), a nonprofit focused on sustainability data management in the energy sector, officially joined the Hedera Governing Council. B4E already runs its carbon tracking platform on the Hedera network, and its addition brings domain expertise in emissions reporting and digital MRV (measurement, reporting, and verification) standards. As a council member, B4E will run its own node and contribute to governance decisions—particularly those aligned with environmental transparency and enterprise accountability. Just two days later, Hedera unveiled its AI Studio, an open-source software development kit designed to help developers build decentralized applications powered by artificial intelligence. The suite includes an Agent Kit that integrates with LangChain and enables AI agents to interact directly with Hedera's consensus and token services using natural language commands. The goal is to lower the barrier for AI-native apps while maintaining onchain auditability, transparency, and regulatory alignment. On the gaming front, Hedera Foundation announced on June 19 a partnership with The Binary Holdings (TBH), a Web3 infrastructure firm. The collaboration aims to bring Hedera-based gaming apps to mobile users in Southeast Asia via OneWave, TBH's decentralized app store. Integrated into native telecom platforms across Indonesia and the Philippines, OneWave is expected to onboard over 169 million users with built-in Web3 rewards and onchain verification. Meanwhile, in mid-June, the U.S. Securities and Exchange Commission began a formal review of the Canary HBAR ETF, which would offer direct exposure to HBAR via a regulated investment vehicle. A public comment period is now open ahead of the SEC's July 7 deadline. If approved, the ETF could catalyze broader institutional access and further legitimize HBAR's role in capital markets—though regulatory scrutiny remains high, and analysts remain divided on long-term token utility. Technical Analysis Highlights HBAR traded in a 4.1% range from $0.1478 to $0.1538 between June 29 19:00 UTC and June 30 18:59 UTC. A strong breakout occurred during the 22:00 hour on June 29, with price surging to $0.154 on volume of 104.5M units. Major support formed at $0.148 between 14:00–15:00 UTC on June 30, with 80.6M units traded. From 18:00–18:59 UTC on June 30, HBAR showed a V-shaped recovery, dipping to $0.149 before rebounding. During the 18:20–18:21 UTC window on June 30, price stabilized with 1.3M in volume, forming short-term support at $0.149. As of 19:56 UTC on June 30, HBAR traded at $0.1519, up 2.1% for the day with resistance seen at $0.1538. Parts of this article were generated with the assistance from AI tools and reviewed by our editorial team to ensure accuracy and adherence to our standards. For more information, see CoinDesk's full AI Policy.
Time of India
2 days ago
- Entertainment
- Time of India
Dot Com(plex), Bot Simplex: How AI is Rewriting the Media Mix
Imagination is running a race against artificial intelligence. Every year in June, Cannes is the venue of a glittering celebration of creativity, ambition kept fuelled by very expensive rosé and champagne. This year the techies were all 'demonstrating' AI like fruit merchants at a fresh market. Meta 's Mark Zuckerberg declared that his platform will deliver everything from creative to deployment , end-to-end. He calls it 'Infinite creative'. OpenAI 's Sam Altman claimed that 95% of tasks traditionally performed by agencies and creatives will soon be handled 'easily, instantly, and at nearly no cost' by AI. Reality is probably going to be much less dramatic in terms of the pace and scale of disruption. But the train is definitely headed there. Technology has destabilized the ad world as much as provided it opportunities for growth. From print and billboards to radio . There onwards to TV and to digital platforms in the early 2000s . Each time the rules of media buying and consumer engagement were rewritten. But creative work lived through disruption. Humans had agency. Maverick copywriters, visual artists, and brand strategists ruled the Ad world and they were the ones whose names earned Cannes Lions . But now AI has started to claim that agency. Tools from TikTok , Meta, and Google can now generate video ads, rewrite copy, translate messages into multiple languages, and even customize creative to user segments, all at the click of a button. Meta's new features can personalize ad text across ten languages. Google's Performance Max and TikTok's AI Studio churns out campaigns from simple text prompts. All this and more was on display across tented pavallions, beachside seminars and fancy demos in hotel suites, at Cannes. The cost -quality equation is quite is perfectly suited to the staple humdrum of hardworking mass media run creatives. Over the past few decades, the value chain in advertising was fairly linear: agencies devised the message, media firms distributed it, and tech platforms optimized the spend. But the platforms are no longer content being middlemen. They are targeting, measuring, and increasingly, making the ads too. Search is now becoming a conversation more than a recommendation of sources. AI-powered search doesn't just know what users are searching for , but why. This context-rich data promises even higher ad performance. The industry's power structure is consolidating. In 2019, the four biggest players—Google, Meta, Amazon, and ByteDance—held just over a third of the global ad market. By 2024, that share had surpassed 50%. AI is reshaping targeting, tracking, and creation to add to this concentration. These digital overlords have the infrastructure, the data, and now the creative tools. While DIY tools empower small businesses, the real gains are accruing to the giants. Building and running effective AI systems requires computing power, vast datasets, and technical sophistication . Whether 'buy or build', it is expensive and scale-dependent to win in AI. In this way, AI is less a great equalizer than a great multiplier of existing power. The Rebirth of PR—and Congregational Branding Here lies one of the most surprising twists in AI's rise: it may revive public relations as a core pillar of branding. As users shift from search engines to conversational AI agents like ChatGPT, Bard, or Gemini, the inputs that influence recommendation engines are no longer just ads—they're text, tone, and trust. To influence chatbot recommendations, brands must now influence the sources that feed them. That means press coverage, reviews, and long-form content. Infographics must be translated into readable text. At a collective level , reputation was not developed from the fine print. But, AI systems have the capacity to make every fine print legible. Hence the reputational signals will be picked up irrespective of how upstream they may be. The cruel irony is that the most powerful branding in the AI era may not be flashy visuals, but plain, factual prose. This also brings new value to congregational moments. The human collective is precious. events that draw attention, create conversation, and get into media coverage . Think product launches, partnerships, charity drives, sustainability summits. These generate press, buzz, and backlinks, signals that AIs absorb. As attention fragments, these tentpole moments become focal points of influence, especially in a media ecosystem where LLMs are the new gatekeepers. But this makes it very important for attribution to be strengthened. The corroboration of media efforts to economic value of a brand needs the stature of an axiomatic truth. Agency models are melting like never before Because of the changes afoot, the agency organisation and revenue model both will need to change hugely. From paying for time clients will want to pay for end outcomes Hence, agency stocks have tumbled. Four of the five major holding companies have seen share price declines since 2023. Omnicom and Interpublic are set to merge by year-end in an effort to save costs and stay competitive. WPP is in CEO transition mode. Publicis, the standout, has retained investor confidence by pushing a narrative of deep AI integration. AI won't just create and place ads. It will also read them. Google recently introduced an AI-powered shopping agent that not only alerts users when prices drop but may soon be able to make purchasing decisions on its own. Brands will soon need to optimize not just for human persuasion, but for machine logic. By the way this 'trigger at a threshold' Agentic action exists in many cases even today : auto bill pay, banking instructions, fees, interest computation, insurance renewals and so on.. What happens when the viewer of an ad is an AI agent tasked with buying a product on behalf of its owner? Should the price of an ad impression be different when seen by a bot than by a human? These are the next frontiers of media pricing, targeting, and influence. 'Marketing -Advertising- PR- Media'has survived extinction-level events globally : radio in the 1920s, television in the 1970s, internet ,web , social in the 2000s. AI is doing three things not ever faced earlier .First , human creativity and machine replication is shrinking faster than AI is not democratizing intelligence. It's centralizing it. While small brands gain access to tools, the largest players are securing the most value by leveraging capital, data, and infrastructure at AI is scrambling and reordering the importance of media channels and brand strategies in unpredictable ways. Outdoor, PR, Institutional events and awards will gain strength. LLMs don't care how a consumer feels. They care what they read. (The author is the Global CMO, CVBU at Tata Motors and is part of the Forbes 2025 list of the World's Most Influential CMOs. Opinions are personal)
CNBC
7 days ago
- Business
- CNBC
Asana picks Dan Rogers, formerly of ServiceNow, to replace CEO Dustin Moskovitz
Collaboration software maker Asana said Wednesday it has chosen former Rubrik and ServiceNow executive Dan Rogers to be its new CEO, replacing co-founder Dustin Moskovitz. Rogers will start at San Francisco-based Asana on July 21, the company announced. Rogers will leave his post as CEO of LaunchDarkly, a startup with software for carefully releasing code updates. Rogers joined LaunchDarkly in 2023. Moskovitz co-founded Facebook parent Meta before leaving to start Asana in 2008. In March, Asana said he would retire. Moskovitz will continue as chair of Asana's board of directors as the company works to diversify with artificial intelligence tools. Asana's AI Studio software generated over $1 million in annualized revenue during the April quarter. "This moment represents an unprecedented opportunity for AI to evolve the way people work, and Dan is the leader with the experience, vision, and expertise needed to guide Asana into its next chapter," Moskovitz said in a statement. "I am excited to support Dan." Moskovitz, whom Bloomberg estimates is worth over $11 billion, has received $5 in total compensation for the past five fiscal years. Rogers, by contrast, will receive a $650,000 base salary and $35 million in restricted stock units. Rogers will also be eligible for a $650,000 annual target bonus. Before joining LaunchDarkly, Rogers ran marketing at ServiceNow and Symantec, and he held roles at Amazon Web Services, Microsoft and Salesforce. He arrived at LaunchDarkly after spending three years as president of data management software company Rubrik. LaunchDarkly did not immediately respond to a request for comment on its own succession plans. After going public through a direct listing in 2020, Asana saw shares rise during the pandemic, alongside other software stocks. The stock price gradually drifted downward, and Moskovitz bought up more and more of the company. On Wednesday, the stock closed at $12.93 per share, down from its record close of $142.68 in November 2021. Moskovitz owns about 39% of outstanding Asana shares, according to FactSet. The stock was unchanged after hours following the CEO announcement.
Al Bawaba
13-06-2025
- Business
- Al Bawaba
Zoom Reimagines Customer Experience With Agentic AI
Today, Zoom announced a major advancement for its customer experience platform (ZCX), launching agentic AI capabilities with next-gen contact center solutions — including an upgraded agentic Zoom Virtual Agent — that will reinvent how businesses engage with customers. In addition, Zoom is rolling out new AI tools for real-time analytics and Quality Management (QM) designed to help organizations meet growing customer expectations while reducing operational complexity and cost.'Agentic AI is unlocking advanced intelligent self-service capabilities, and Zoom CX customers can now harness this technology,' said Smita Hashim, chief product officer at Zoom. 'Through our agentic Virtual Agent and effortless AI agent creation with Zoom AI Studio, we aim to empower businesses with AI that proactively takes action on behalf of customers, making it simpler than ever for businesses to deploy scalable, high-quality support solutions.'Reimagining self-service with agentic AI: Zoom Virtual AgentThe next evolution of Zoom Virtual Agent now embeds agentic AI at its core, allowing it to move beyond answering simple customer questions to deliver real resolutions. It combines natural, fluid, and highly scalable automation with proactive reasoning to autonomously solve complex, end-to-end customer scenarios. Now available across both chat and voice channels, the upgraded Zoom Virtual Agent is built to meet the rising demand for self-service that's fast, accurate, and seamless across channels. With 85% of customer service leaders planning to explore or pilot customer-facing conversational generative AI solutions in 2025, the urgency to adopt intelligent automation has never been greater. Built natively within the broader Zoom ecosystem, Zoom Virtual Agent integrates effortlessly with Zoom Contact Center to enable smooth, context-rich handoffs between virtual and live Virtual Agent now delivers:• Autonomous resolution of complex end-to-end tasks, such as processing returns, updating account details, or booking appointments, without the need for human intervention.• Advanced reasoning and memory, allowing the Virtual Agent to understand context across interactions, recall recent conversations, and deliver accurate, personalized support, without starting from scratch.• Context-aware, brand-aligned conversations, adapting tone and language to match a brand's voice while delivering natural, engaging interactions. Uses agentic AI to adjust and determine flow based on customer requests.• Effortless deployment through AI Studio, allowing teams to quickly build and launch specialized virtual agents, accelerating time to value and keeping pace with evolving business and customer latest evolution of Zoom Virtual Agent is now available, launching with seamless integration with Zoom Contact Center, Genesys Cloud, and multiple CRMs like Salesforce, ServiceNow, Zendesk, and Microsoft Dynamics. To learn more about how Zoom Virtual Agent transforms self-service, visit the Zoom insight into action with AI-first supervisor toolsZoom's new analytics and quality management updates give CX leaders the visibility and speed they need to drive meaningful improvements across their contact center operations, enabling simplified workdays for supervisors, expedited contact center agent upskilling, and, ultimately, increased customer Analytics, now available, delivers the next generation of Zoom Contact Center reporting with enhanced data visualization, customizable dashboards, and journey-level insights across both Zoom Phone and Zoom Contact Center. Designed to align with widely accepted industry benchmarks, CX Analytics helps teams assess operational efficiency, agent engagement, and service quality across the Zoom Contact Center platform. Contact center supervisors can tailor visualizations to match their business needs, dive deeper into multi-channel trends, and use real-time or historical views to identify patterns over time. CX Insights, a new intelligence hub for the Zoom CX suite, uses generative AI to automatically analyze data, uncover hidden trends, and surface actionable insights. Contact center leaders and agents will receive AI-powered recommendations in real time to help improve agent performance, customer satisfaction, and operational efficiency. CX Insights is planned to be available later this Scheduling, now available, leverages AI to manage the entire forecasting and scheduling process. First, AI creates a forecast (short or long-term) based on customer interaction history. Then, AI Scheduling automatically creates shifts and assigns agents to those shifts based on preferences like preferred start times. This helps save WFM managers' time by reducing setup and configuration time and automating shift Topic Detection, now available in Zoom Quality Management, automatically identifies trending themes in customer interactions so supervisors can isolate and analyze issues in real time. Traditional topic detection requires supervisors to preemptively identify topics and map keywords and phrases to them. AI Topic Detection intelligently associates natural language with trending themes, eliminating configuration work and allowing for organic topic discovery. These trends can then be taken back to the organization to address common customer issues to get ahead of future pain Quality Management, now available with Zoom Contact Center Elite licenses or as an add-on at $60 per seat, includes:• Auto QM — Uses generative AI to automatically score up to 100% of customer interactions. It replaces manual sampling and removes bias while increasing visibility into agent performance, providing supervisors with a clear readout of where agents can improve to offer more upskilling of talent.• Ask QM — A conversational interface that lets supervisors search transcripts by asking questions like, 'What caused low sentiment on this interaction?' or 'What did my agent do well on this call?' This allows supervisors to spend less time identifying potential issues and more time enhancing contact center operations. These tools shift contact center operations from reactive to proactive, enabling faster feedback loops, data-driven coaching, and ongoing process improvement.
Mid East Info
13-06-2025
- Business
- Mid East Info
Zoom Reimagines Customer Experience With Agentic AI - Middle East Business News and Information
Zoom CX solutions deliver smarter self-service and AI-first tools for customers and contact center supervisors Dubai, United Arab Emirates. June 2025: Today, Zoom announced a major advancement for its customer experience platform (ZCX), launching agentic AI capabilities with next-gen contact center solutions — including an upgraded agentic Zoom Virtual Agent — that will reinvent how businesses engage with customers. In addition, Zoom is rolling out new AI tools for real-time analytics and Quality Management (QM) designed to help organizations meet growing customer expectations while reducing operational complexity and cost. 'Agentic AI is unlocking advanced intelligent self-service capabilities, and Zoom CX customers can now harness this technology,' said Smita Hashim, chief product officer at Zoom. 'Through our agentic Virtual Agent and effortless AI agent creation with Zoom AI Studio, we aim to empower businesses with AI that proactively takes action on behalf of customers, making it simpler than ever for businesses to deploy scalable, high-quality support solutions.' Reimagining self-service with agentic AI: Zoom Virtual Agent The next evolution of Zoom Virtual Agent now embeds agentic AI at its core, allowing it to move beyond answering simple customer questions to deliver real resolutions. It combines natural, fluid, and highly scalable automation with proactive reasoning to autonomously solve complex, end-to-end customer scenarios. Now available across both chat and voice channels, the upgraded Zoom Virtual Agent is built to meet the rising demand for self-service that's fast, accurate, and seamless across channels. With 85% of customer service leaders planning to explore or pilot customer-facing conversational generative AI solutions in 2025, the urgency to adopt intelligent automation has never been greater. Built natively within the broader Zoom ecosystem, Zoom Virtual Agent integrates effortlessly with Zoom Contact Center to enable smooth, context-rich handoffs between virtual and live agents. Zoom Virtual Agent now delivers: Autonomous resolution of complex end-to-end tasks, such as processing returns, updating account details, or booking appointments, without the need for human intervention. Advanced reasoning and memory, allowing the Virtual Agent to understand context across interactions, recall recent conversations, and deliver accurate, personalized support, without starting from scratch. Context-aware, brand-aligned conversations, adapting tone and language to match a brand's voice while delivering natural, engaging interactions. Uses agentic AI to adjust and determine flow based on customer requests. Effortless deployment through AI Studio, allowing teams to quickly build and launch specialized virtual agents, accelerating time to value and keeping pace with evolving business and customer demands. The latest evolution of Zoom Virtual Agent is now available, launching with seamless integration with Zoom Contact Center, Genesys Cloud, and multiple CRMs like Salesforce, ServiceNow, Zendesk, and Microsoft Dynamics. Turning insight into action with AI-first supervisor tools: Zoom's new analytics and quality management updates give CX leaders the visibility and speed they need to drive meaningful improvements across their contact center operations, enabling simplified workdays for supervisors, expedited contact center agent upskilling, and, ultimately, increased customer satisfaction CX Analytics, now available, delivers the next generation of Zoom Contact Center reporting with enhanced data visualization, customizable dashboards, and journey-level insights across both Zoom Phone and Zoom Contact Center. Designed to align with widely accepted industry benchmarks, CX Analytics helps teams assess operational efficiency, agent engagement, and service quality across the Zoom Contact Center platform. Contact center supervisors can tailor visualizations to match their business needs, dive deeper into multi-channel trends, and use real-time or historical views to identify patterns over time. CX Insights, a new intelligence hub for the Zoom CX suite, uses generative AI to automatically analyze data, uncover hidden trends, and surface actionable insights. Contact center leaders and agents will receive AI-powered recommendations in real time to help improve agent performance, customer satisfaction, and operational efficiency. CX Insights is planned to be available later this year. AI Scheduling, now available, leverages AI to manage the entire forecasting and scheduling process. First, AI creates a forecast (short or long-term) based on customer interaction history. Then, AI Scheduling automatically creates shifts and assigns agents to those shifts based on preferences like preferred start times. This helps save WFM managers' time by reducing setup and configuration time and automating shift adjustments. AI Topic Detection, now available in Zoom Quality Management, automatically identifies trending themes in customer interactions so supervisors can isolate and analyze issues in real time. Traditional topic detection requires supervisors to preemptively identify topics and map keywords and phrases to them. AI Topic Detection intelligently associates natural language with trending themes, eliminating configuration work and allowing for organic topic discovery. These trends can then be taken back to the organization to address common customer issues to get ahead of future pain points. Advanced Quality Management, now available with Zoom Contact Center Elite licenses or as an add-on at $60 per seat, includes: Auto QM — Uses generative AI to automatically score up to 100% of customer interactions. It replaces manual sampling and removes bias while increasing visibility into agent performance, providing supervisors with a clear readout of where agents can improve to offer more upskilling of talent. Ask QM — A conversational interface that lets supervisors search transcripts by asking questions like, 'What caused low sentiment on this interaction?' or 'What did my agent do well on this call?' This allows supervisors to spend less time identifying potential issues and more time enhancing contact center operations. These tools shift contact center operations from reactive to proactive, enabling faster feedback loops, data-driven coaching, and ongoing process improvement.
