Latest news with #GenAI-powered
Economic Times
7 days ago
- Entertainment
- Economic Times
Mumbai-based studio reimagines Ramayana with AI. Watch the stunning trailer
Synopsis Cinefai, a Mumbai-based studio, is gaining attention for its visually stunning adaptation of the Ramayana, created using next-generation generative AI tools. The studio has released a trailer and the first episode of its episodic series on YouTube. This project follows Cinefai's previous AI-driven ventures into mythology, including videos on the Mahabharata and a battle between Lord Shiva and Lord Vishnu. A still from the trailer of Ramayana made by Cinefai A Mumbai-based studio, Cinefai, is making waves by developing a visually striking adaptation of the Ramayana using next-generation generative AI tools. The studio recently unveiled the trailer of its episodic series on YouTube, along with the release of the first critic Taran Adarsh shared the news on X (formerly Twitter), writing: "GEN-AI DEVELOPED 'RAMAYANA' TRAILER UNVEILED... #CinefaiStudios – a #Mumbai-based, #GenAI-powered studio – has unveiled the trailer of its episodic series #Ramayana, created entirely using next-gen AI tools. The trailer is now live on the studio's official #Instagram and #YouTube channels, and the first episode has also premiered!" — taran_adarsh (@taran_adarsh) On its YouTube page, Cinefai describes the project as: "This is our own original Ramayana series — rooted in the epic, powered by cinematic visuals, and told in pure Hindi. The journey of Ram, Sita, Lakshman, and Ravan begins here. As the world talks about Ranbir Kapoor's upcoming Ramayana, we offer a raw, immersive experience that stands on its own. If you're searching for Hindi Ramayana content, mythological trailers, or new Indian epics in 2025 — this is your moment." This isn't Cinefai's first foray into AI-driven mythology. The studio previously released GenAI-powered videos on the Mahabharata, as well as an epic showdown between Lord Shiva and Lord Vishnu. Cinefai is part of a broader trend in the entertainment industry. Global players like Netflix are increasingly exploring AI-powered storytelling, and in India, platforms like Pratilipi are also experimenting with the format. Pratilipi recently teamed up with Teevra Studios to launch Bedard Piya, India's first GenAI-animated series, which premiered on YouTube on July 19. A recent report by EY highlighted how generative AI is revolutionizing media and entertainment, marking a transformative era in how stories are created, consumed, and Ranbir Kapoor and Yash starrer Ramayana movie is about to be released around Diwali and is said to be Bollywood's most expensive film series with a production cost of Rs 1,600 crore. The opening part alone has a massive allocation of ?900 crore, while the subsequent chapter is budgeted at Rs 700 first part of Ramayana is scheduled for release during Diwali 2026, with the second installment set to arrive a year later in Diwali 2027.
The Hindu
7 days ago
- Business
- The Hindu
GHMC partners with Google for GenAI pilot
The Greater Hyderabad Municipal Corporation (GHMC) has partnered with Google to launch a Generative AI-based pilot project aimed at solving key civic challenges and improving citizen services across the city. Describing it as a 'groundbreaking move', a statement from GHMC said a virtual meeting was convened on Monday to discuss the road map of the project, attended by Secretary, Metropolitan Area & Urban Development Department, K. Ilambarithi, GHMC Commissioner R.V. Karnan, Additional Commissioner Anuraag Jayanti and a senior representative from Google. The GenAI pilot will explore futuristic, tech-driven solutions to common urban issues and focus on creating a responsive and intelligent city administration, it said. Key areas of focus include AI-enabled government and citizen services, GenAI-powered search bar for government services, conversational chatbots and AI search tools for government employees, AI-based citizen enquiry classification system, blockchain-enabled verifiable credentials for government-to-citizen services, AI-based tender evaluation system, smart parking management using AI, solid waste management optimisation using AI, automated form filing for public applications, real time tracking of public buses via Google Maps, AI driven road safety and traffic models, citywide health analytics platform, AI monitoring of dumping into lakes, and AI for vector borne disease detection and prevention among several others. This collaboration marks a milestone in GHMC's digital transformation journey. Once tested successfully, these AI tools will be scaled city-wide, enabling Hyderabad to serve as a national model for smart, tech-powered urban living, the statement averred.
Time of India
7 days ago
- Entertainment
- Time of India
Mumbai-based studio making Ramayana with AI. Watch the stunning trailer
A Mumbai-based studio, Cinefai, is making waves by developing a visually striking adaptation of the Ramayana using next-generation generative AI tools. The studio recently unveiled the trailer of its episodic series on YouTube, along with the release of the first episode. Film critic Taran Adarsh shared the news on X (formerly Twitter), writing: "GEN-AI DEVELOPED 'RAMAYANA' TRAILER UNVEILED... #CinefaiStudios – a #Mumbai-based, #GenAI-powered studio – has unveiled the trailer of its episodic series #Ramayana, created entirely using next-gen AI tools. The trailer is now live on the studio's official #Instagram and #YouTube channels, and the first episode has also premiered!" Productivity Tool Zero to Hero in Microsoft Excel: Complete Excel guide By Metla Sudha Sekhar View Program Finance Introduction to Technical Analysis & Candlestick Theory By Dinesh Nagpal View Program Finance Financial Literacy i e Lets Crack the Billionaire Code By CA Rahul Gupta View Program Digital Marketing Digital Marketing Masterclass by Neil Patel By Neil Patel View Program Finance Technical Analysis Demystified- A Complete Guide to Trading By Kunal Patel View Program Productivity Tool Excel Essentials to Expert: Your Complete Guide By Study at home View Program Artificial Intelligence AI For Business Professionals Batch 2 By Ansh Mehra View Program — taran_adarsh (@taran_adarsh) by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Book Your Daily Profit By 11 AM With This Superclass By Mr. Bala TradeWise Learn More Undo On its YouTube page, Cinefai describes the project as: "This is our own original Ramayana series — rooted in the epic, powered by cinematic visuals, and told in pure Hindi. The journey of Ram, Sita, Lakshman, and Ravan begins here. As the world talks about Ranbir Kapoor's upcoming Ramayana, we offer a raw, immersive experience that stands on its own. If you're searching for Hindi Ramayana content, mythological trailers, or new Indian epics in 2025 — this is your moment." This isn't Cinefai's first foray into AI-driven mythology. The studio previously released GenAI-powered videos on the Mahabharata , as well as an epic showdown between Lord Shiva and Lord Vishnu. Live Events Cinefai is part of a broader trend in the entertainment industry. Global players like Netflix are increasingly exploring AI-powered storytelling, and in India, platforms like Pratilipi are also experimenting with the format. Pratilipi recently teamed up with Teevra Studios to launch Bedard Piya, India's first GenAI-animated series, which premiered on YouTube on July 19. A recent report by EY highlighted how generative AI is revolutionizing media and entertainment, marking a transformative era in how stories are created, consumed, and experienced. Incidentally, Ranbir Kapoor and Yash starrer Ramayana movie is about to be released around Diwali and is said to be Bollywood's most expensive film series with a production cost of Rs 1,600 crore. The opening part alone has a massive allocation of ?900 crore, while the subsequent chapter is budgeted at Rs 700 crore. The first part of Ramayana is scheduled for release during Diwali 2026, with the second installment set to arrive a year later in Diwali 2027.
Business Wire
7 days ago
- Business
- Business Wire
AppLogic Networks Secures Commitment from Leading MSP to Unlock New Revenue Paths with Edge-Ready, AI-Driven QoE Platform
PLANO, Texas--(BUSINESS WIRE)--AppLogic Networks, a leader in software-based application visibility and performance optimization, today announced that a leading, next-generation managed service provider has adopted its AI-powered visibility platform, focused on end customers' high value, high expectation digital experiences, including for maritime travel. The deployment reflects a pivotal industry shift: Quality of Experience (QoE) is no longer a technical metric; it's a business imperative. Vacationers on cruise ships spending thousands on premium travel experiences now expect premium digital access as part of the package. For many operators, internet connectivity has quietly become one of the most important services on a global scale, both in terms of guest satisfaction and revenue potential. With internet access packages playing an increasingly critical role in the business model, ensuring flawless digital service – including no service leakage, blind spots, and reputational risk – has become essential. 'This isn't just another service integration, it's a commercial unlock for our customers,' said Hashem Eid, Chief Commercial Officer at AppLogic Networks. 'QoE now sits at the heart of brand reputation and revenue realization. We're proud to support our customers as they turn premium connectivity into a competitive advantage.' This deployment brings AppLogic Networks' advanced application classification, real-time QoE scoring, and personalized policy control to a fleet of performance-critical, fair-usage-challenged sites. It represents a growing realization that the digital experience ecosystem has moved from connectivity services to experience-based services. 'Our transition to a software-only model was a deliberate strategy to meet this moment,' said Samir Marwaha, Chief Solutions Officer at AppLogic Networks. 'By untethering our insights and world-class traffic management from proprietary hardware, we're giving operators the flexibility, speed, and reach to support growth across maritime, satellite, telecom, mobile private networks, and managed services. This level of QoE-centric control is vital to satisfy the digital experience users have come to expect.' AppLogic Networks' software suite delivers: Deep application visibility and classification at scale Behavioral and sentiment insights tied to real user experience Seamless integration with world-class traffic and policy engines A foundation for AI, Agentic AI, and GenAI-powered network intelligence As the demand of uninterrupted, high-quality services rises in all corners of the world, AppLogic Networks is helping managed service providers and other network providers to unlock new opportunities by making the internet exceptional, with App QoE everywhere. About AppLogic Networks AppLogic Networks is on a mission to revolutionize network observability while serving as a champion of digital human rights. The company provides AI-powered application and network intelligence software solutions that help network operators analyze, optimize, and monetize their networks with contextual insights and real-time metrics—ultimately enabling the delivery of high-quality online experiences. AppLogic Networks is based in the US, with customers located in democracies around the globe. For more information on AppLogic Networks' Application Classification solutions, visit More about this topic? Please visit our blog.
Business Wire
01-08-2025
- Automotive
- Business Wire
Strategic Insights of Generative AI and Its Automotive Use Cases, 2025 Research Report - AI-Driven Voice Assistants to Become Standard in Vehicles by 2033
DUBLIN--(BUSINESS WIRE)--The "Strategic Insights of Generative AI and Its Automotive Use Cases" report has been added to offering. Generative AI (Gen AI) continues to create an impact across industries including automotive. In the next decade, Gen AI is expected to significantly influence automotive value chains, increase efficiency, productivity, and reduce wastes. In the supply chain, it will be used to optimize inventory and demand forecasting while in product development it can be used to generate design ideas, accelerate prototyping, testing and to shorten the time-to-market. In manufacturing, it can be used to reduce bottlenecks on the assembly line and provide real time insights to production engineers to make informed decisions. In retail, it can be used to provide 24x7 sales support to dealerships executing human- like interactions with potential customers. Inside the vehicle, Gen AI- driven voice assistants will become standard features in the next decade. Beyond the automotive lifecycle, Gen AI will make a significant contribution towards autonomous vehicle development and operation. Gen AI start-ups which focus on solutions for autonomous vehicles will crop up in the coming decade driving innovation and fast tracking the development of such vehicles. Gen AI will support shared mobility by helping increase the efficiency of fleet management, ride booking, pricing, and route planning. In logistics, it will play a key role in choosing the optimal vehicle for a trip, plan routes based on real time traffic data, and customer support functions. Gen AI will also play a key role across various corporate functions including Finance, Human Resources, and Marketing. Growth Drivers The Rapid Technological Transformation in the Automotive Industry: The automotive industry has seen transformational shifts in the past decade, with automakers embracing innovative technologies to digitize operations. GenAI will augment this transformation. The automotive industry has seen transformational shifts in the past decade, with automakers embracing innovative technologies to digitize operations. GenAI will augment this transformation. Endeavor to Enhance the In-Cabin Experience: Automakers are always on the lookout for ways in which they can enhance the in-cabin experience for their customers. GenAI will enable OEMs to offer next-generation human-machine interfaces through GenAI-powered voice assistants. Automakers are always on the lookout for ways in which they can enhance the in-cabin experience for their customers. GenAI will enable OEMs to offer next-generation human-machine interfaces through GenAI-powered voice assistants. Improve Efficiency and Profitability: GenAI can help automate redundant tasks and, coupled with a voice assistant, provide real-time status updates on active tasks, thereby increasing the efficiency of decision-making. This leads to reduced operational tasks and a better bottom line. GenAI can help automate redundant tasks and, coupled with a voice assistant, provide real-time status updates on active tasks, thereby increasing the efficiency of decision-making. This leads to reduced operational tasks and a better bottom line. Focus on Increasing the Quality of Customer Engagement: Companies intend to enhance customer engagement and satisfaction by leveraging new technologies. GenAI enables companies to increase the efficiency of customer support chatbots, facilitating 24/7 support in natural languages. Growth Restraints Data Privacy Concerns: Instances of sensitive company data leaking into the public domain through GenAI applications make companies uneasy and apprehensive about adopting this technology. Instances of sensitive company data leaking into the public domain through GenAI applications make companies uneasy and apprehensive about adopting this technology. Issues with Reliability: GenAI tools have been found to hallucinate and give out factually incorrect information, which could be seen as an unreliable technology in the short term. As the technology matures, the accuracy will improve. GenAI tools have been found to hallucinate and give out factually incorrect information, which could be seen as an unreliable technology in the short term. As the technology matures, the accuracy will improve. Regulatory Issues: Governments could view GenAI suspiciously over the ethics around the use of it by companies and common citizens, and the negative impact it can have on various facets of society. This could result in adverse regulations against the use of GenAI. Governments could view GenAI suspiciously over the ethics around the use of it by companies and common citizens, and the negative impact it can have on various facets of society. This could result in adverse regulations against the use of GenAI. Practicality: For organizations to effectively leverage the power of GenAI, they need large datasets and significant computing power. This could be difficult to achieve for organizations in the short term. Impact of the Top 3 Strategic Imperatives on GenAI in Automotive Market Customer Value Chain Compression Generative AI (GenAI) can automate customer interaction touchpoints that could not be automated efficiently earlier. GenAI can understand customer requirements and respond accordingly, almost creating a humanlike conversation when coupled with a voice assistant. Disruptive Technologies GenAI is a disruptive technology that can ease the workload and support employees in an organization to achieve their goals faster and with greater accuracy and efficiency. Industry Convergence GenAI large language models (LLMs) offer numerous possible use cases for all industries, including automotive. GenAI has the potential to accelerate innovations in next-generation technologies and products. Scope of Analysis Examine possible generative AI use cases in the automotive value chain. Look at evolving use cases and analyze them to understand their impact on the future automotive value chain. Break down the automotive value chain into subsegments and discuss potential applications. Analyze generative AI's potential integration into existing automotive products and solutions. Examine the challenges associated with generative AI in the workplace and use cases that highlight the concerns regarding this technology. Derive growth opportunities and key takeaways stemming from the analysis. Key Topics Covered: Scope Scope of Analysis Why is it Increasingly Difficult to Grow? The Strategic Imperative Impact of the Top 3 Strategic Imperatives on GenAI in Automotive Market Growth Environment: Transformation of GenAI in Automotive Key Takeaways Key Automotive Ecosystem Players Using GenAI Key Automaker GenAI Use Case By Value Chain GenAI Types and Impact on Automotive Use Case by 2030 Potential Applications of GenAI in Key Corporate Functions Car Models with GenAI Voice Assistants Price to Access GenAI Voice Assistants in Cars GenAI in Automotive - Current Adoption vs Future Impact Case Study - Valeo Growth Generator in GenAI in Automotive Growth Drivers Growth Restraints Overview of GenAI Key Reasons for Organizations to Adopt GenAI GenAI Vs Traditional AI The Automotive GenAI Ecosystem - Key Stakeholders Select GenAI Tools by Application Most Popular GenAI Tools IT Decision-Makers' Perception Towards GenAI Challenges - Concerns Around GenAI in Organizations Emerging AI Regulations by Key Regions Overview of GenAI - Key Takeaways GenAI in Supply Chain Snapshot of Possible GenAI Applications in Automotive Possible Use Cases of GenAI in Automotive Supply Chain GenAI in Automotive Supply Chain - Certainty of Application GenAI in Supply Chain - Key Takeaways GenAI in Manufacturing Possible Use Cases of GenAI in Automotive Product Design Select GenAI Image Generator Tools Case Study - Product Design-Toyota Case Study - Ferrari GenAI in Automotive Design - Certainty of Application Possible Use Cases of GenAI in Automotive Production GenAI in Automotive Production - Certainty of Application GenAI Adoption by OEMs in Production Case Study - Mercedes-Benz Overview of GenAI in Manufacturing - Key Takeaways GenAI in Automotive Retail Possible Use Cases of GenAI in Automotive Retail Case Study - Marketing: Lexus/Toyota Automotive Retail - Sales Scenario Using GenAI Case Study - Sales: Fullpath Case Study - Sales: BMW + Accenture Case Study - Customer Management: Ford GenAI in Automotive Retail - Certainty of Application Overview of GenAI in Retail - Key Takeaways In-Vehicle GenAI Possible Use Cases of In-Vehicle GenAI OEMs with GenAI-Powered Voice Assistants Case Study - Nio AI Voice Assistant Case Study - Mercedes-Benz Case Study - Linguistic Localization: KIA Automotive Suppliers Focus on GenAI Voice Assistant Case Study - Soundhound AI Case Study - Continental & Google Case Study - Cerence-Skoda GenAI in the Vehicle Cabin - Certainty of Application GenAI in the Vehicle Cabin - Key Takeaways Beyond the Automotive Life Cycle Possible Use Cases of GenAI in Autonomous Vehicles Evolving GenAI Case Studies in Autonomous Driving Case Study - Forvia Hella Possible Use Cases of GenAI in Shared Mobility Case Study - Turo Possible Use Cases of GenAI in Logistics GenAI Use Case Scenario in Logistics GenAI Beyond Automotive Life Cycle - Key Takeaways Growth Opportunity Universe Growth Opportunity 1: Subscription Revenue Through Generative AI Powered Voice Assistants Growth Opportunity 2: Usher in an Era of AI-driven Manufacturing Growth Opportunity 3: Transform Customer Engagement Appendix & Next Steps Benefits and Impacts of Growth Opportunities Next Steps Companies Featured Accenture BMW Cerence-Skoda Continental Ferrari Ford Forvia Hella Fullpath Google KIA Lexus/Toyota Mercedes-Benz Nio Soundhound AI Toyota Turo Valeo For more information about this report visit About is the world's leading source for international market research reports and market data. 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