The next-generation Lexus ES, offering electric power for the first time, will arrive in Australia in the third quarter of 2026.
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Coherent Market Insights' most recent research study, "Global Edge Computing and Hybrid Computing Market Size, Share, Pricing, Trends, Growth, Opportunities and Forecast 2026-2033," provides a thorough overview of the market for Edge Computing and Hybrid Computing Market on a global
Back on Earth, Artemis II crew still finding their footing The Straits Times The Artemis II astronauts are set to take questions about their moon journey CNN Artemis astronaut describes charring on heat shield during crew's fiery return to Earth CNA NASA to Host Artemis II Crew Postflight News Conference NASA (.gov) Artemis II crew talk about their Moon mission BBC
(MENAFN - GlobeNewsWire - Nasdaq) AI is transforming medicine by improving diagnostics, personalized treatments, and operational efficiency. Key opportunities include AI-powered drug discovery, ...
The GWM Haval H6 GT PHEV now has the same interior as the regular Haval H6, with a larger touchscreen running a new operating system.
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The GWM Haval H6 GT PHEV now has the same interior as the regular Haval H6, with a larger touchscreen running a new operating system.
Google has revealed that Gemini has helped the company in a massive cleanup of the digital advertising space last year, removing over 8.3 billion ads globally. According to the tech giant, during the crackdown in India, its latest AI technology blocked or removed 483.7 million policy-violating advertisements. Google announced these figures in the company’s annual safety report, which highlights a shift in the battle against digital scammers. In 2025, Google’s safety teams utilised Gemini to analyse hundreds of billions of signals, ranging from account age to complex behavioral patterns. This allowed the system to catch 99% of bad ads before [...]
Artificial Intelligence is often spoken about as the future of marketing, but for agencies working on the ground every day, the real question is much simpler. How can AI genuinely improve everyday work and help people focus on what truly matters? At SRV Media, our journey with AI began with a simple observation. While creativity and strategic thinking define marketing success, a large part of the day inside agencies is quietly consumed by repetitive operational work. Tasks such as preparing assessments, checking campaigns before launch, coordinating across departments, managing project timelines, or researching influencers may not seem complex individually, but together they consume a significant portion of productive hours every month. We therefore began integrating AI not as a trend but as a practical solution to remove inefficiencies from our daily workflows. The objective was straightforward. If we could reduce manual effort, improve accuracy, and centralise data, our teams could spend more time on creative thinking and strategic planning for our clients. One of the earliest improvements we introduced was in the area of internal training and evaluations. Like most growing organisations, SRV Media conducts regular learning sessions to upgrade the skills of its teams. Earlier, every training assessment had to be created manually. Preparing the format, structuring the questions, generating forms, and sharing links typically took close to two hours per assessment. With roughly four assessments conducted every month, nearly eight hours of productive time were being spent on this activity alone. To solve this, we developed a unified AI-powered evaluation platform using an AI-enabled development environment. The platform allows questions to be generated directly from presentation decks using AI, and uploading them in a predefined format automatically creates a live test link. Assessments can be customised in terms of duration, question structure, and monitoring parameters, while all results, test links, and leaderboards are stored within one centralised system. The impact has been immediate and measurable. What earlier required almost two hours now takes roughly ten minutes. This represents a 92% reduction in assessment creation time. In operational terms, the agency now saves 7.33 hours every month through this single initiative while also benefiting from a more structured and centralised evaluation system. Another area where AI has created a significant impact is content development. Marketing agencies rely heavily on copywriters who constantly work on campaigns, ad messaging, landing page content, and social media communication. While creativity remains the heart of the process, a large portion of the effort often goes into repetitive research and drafting. To support this function, we created an ecosystem of more than twenty-two specialised GPT-powered bots trained on brand guidelines, copy frameworks, and internal processes used at the agency. These bots assist the team throughout the workflow, starting from research and idea exploration to drafting campaign copy. The outcome has been a noticeable improvement in productivity. The copy automation ecosystem has helped reduce the time spent on repetitive research and drafting by 18%, allowing our teams to focus more on storytelling, creative strategy, and building stronger campaign narratives. Campaign management was another area where AI brought clear operational improvement. Before any digital campaign goes live, teams must carefully review targeting settings, budgets, creatives, and placements to ensure everything is configured correctly. Earlier, these quality checks were conducted manually. A search campaign review could take around fifteen minutes, while display campaign checks required roughly ten minutes. To streamline this process, we developed an automated campaign quality verification system integrated with the Google Ads API. The system automatically retrieves campaign data and creatives and evaluates them against predefined rules. It identifies configuration issues, missing elements, or creative mismatches while also displaying real-time ad previews for quick validation. This automation has significantly improved efficiency. The average quality check time per campaign has reduced from nearly twelve minutes to about two minutes, which translates to an 83% reduction in campaign quality check time. Along with saving time, the system also reduces the chances of human errors that could otherwise affect campaign performance. Video production workflows inside agencies are often complex because they involve multiple teams and several stages before the final output is delivered. At the agency, a single video project can pass through nearly twenty stages involving account managers, copywriters, designers, production specialists, and editors. Earlier, a lack of real-time visibility into these stages meant teams frequently relied on coordination meetings just to understand the progress of a project. To address this challenge, we created an automated video flow tracking system that provides complete visibility into every stage of the production cycle. Each step is clearly assigned to a stakeholder, quality checks are embedded in the process, and progress can be monitored in real time. The results have been remarkable. Time spent in coordination meetings related to video projects has reduced from approximately 46.67 hours per month to 13.33 hours per month, resulting in a 71% reduction in coordination meeting time. Teams now spend far less time discussing project status and far more time producing creative work. As the agency grew, managing multiple client projects simultaneously also became more complex. Different teams often relied on different tools to track tasks, deadlines, and deliverables, which sometimes created fragmented visibility for leadership. To solve this, we built a centralised internal project management platform that tracks all client-related tasks and workflows in one place. Every project step is clearly documented, managers can assign responsibilities and send automated reminders, and dashboards provide real-time visibility for account managers as well as leadership teams. This centralised system has improved accountability, simplified workflow tracking, and created a much more structured execution environment across departments. While these systems have already transformed many internal processes, our AI journey continues to evolve. One of the platforms currently under development is an influencer marketing intelligence system designed to streamline influencer discovery and campaign planning. Influencer campaigns traditionally involve extensive manual research, including identifying creators, evaluating engagement metrics, analysing follower data, and comparing quotation benchmarks. The new platform will maintain a centralised database of influencer collaborations, track real-time engagement metrics, identify creators based on niche and geography, and store historical campaign performance data. Once deployed, it is expected to significantly reduce manual influencer research while enabling more data-driven campaign planning. Looking across all these initiatives, a clear pattern emerges. Artificial Intelligence becomes most powerful when it is applied to solve everyday operational challenges. By reducing repetitive work, improving accuracy, and centralising information, AI enables teams to redirect their energy toward strategy, creativity, and meaningful impact. At the agency, these AI-driven systems are already helping us save dozens of productive hours every month while improving operational accuracy and workflow visibility. More importantly, they are changing how people spend their time. Instead of getting absorbed in repetitive tasks, teams can now focus on ideas, strategy, and innovation. The agencies that will thrive in the coming decade will not simply be the ones that adopt AI tools. They will be the ones who successfully integrate intelligent systems into everyday workflows while keeping human creativity at the centre of everything they do. At the agency, we see AI as an invisible collaborator that quietly handles operational complexity in the background while people focus on the ideas that move brands forward. This article is penned by Dr. Vikram Kumar , Founder and Managing Director, SRV Media Disclaimer: The article features the opinion of the author and does not necessarily reflect the stance of the publication.
WhatsApp Business could potentially start charging users who want to link more than four devices to the same account in a future update.
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