Google Gemini Can Now Summarise Drive Videos with AI-Powered Insights
Google is bringing more convenience to Workspace and Google Drive users with its Gemini AI, now able to summarise video content. The feature, which previously focused on documents and PDFs, is expanding to videos saved in Google Drive, allowing users to gain quick insights without needing to watch complete recordings.
Through a chatbot interface, Gemini can provide video summaries or answer specific questions based on the footage. For instance, it can list action items from a recorded meeting or highlight key announcements, making it easier for users to extract relevant information efficiently. This could be especially helpful for professionals managing long video recordings or product briefings.
To use this functionality, captions must be enabled on the video files. The summaries are accessible via the overlay preview in Drive or in a new browser tab. Currently, this feature is available in English for Google Workspace and Google One AI Premium users, including those with Gemini Business or Enterprise add-ons. Google notes it may take a few weeks for the rollout to reach all users.
Additionally, Google is enhancing video analytics within Drive. The Drive video player now includes engagement data, showing how often a video has been opened, visible under the Analytics section in the Details panel. This update gives users better insight into how their content is being viewed and shared.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Economic Times
an hour ago
- Economic Times
Google says it will appeal online search antitrust decision
Alphabet's Google on Saturday said it will appeal an antitrust decision under which a federal judge proposed less aggressive ways to restore online search competition than the 10-year regime suggested by antitrust enforcers "We will wait for the Court's opinion. And we still strongly believe the Court's original decision was wrong, and look forward to our eventual appeal," Google said in a post on X. — NewsFromGoogle (@NewsFromGoogle) US District Judge Amit Mehta in Washington heard closing arguments on Friday at a trial on proposals to address Google's illegal monopoly in online search and related advertising. In April, a federal judge said that Google illegally dominated two markets for online advertising technology, with the US Department of Justice saying that Google should sell off at least its Google Ad Manager, which includes the company's publisher ad server and its ad exchange. The DOJ and a coalition of states want Google to share search data and cease multibillion-dollar payments to Apple and other smartphone makers to be the default search engine on new devices. Antitrust enforcers are concerned about how Google's search monopoly gives it an advantage in artificial intelligence products like Gemini and vice versa. John Schmidtlein, an attorney for Google, said at the hearing that while generative AI is influencing how search looks, Google has addressed any concerns about competition in AI by no longer entering exclusive agreements with wireless carriers and smartphone makers including Samsung Electronics, leaving them free to load rival search and AI apps on new devices.
Time of India
an hour ago
- Time of India
Google lets Android phones run AI models without internet
Different artificial intelligence (AI) models, which can create images, answer questions, or code, can now be run locally on Android smartphones. Last week, Google launched a new app that enables users to run various AI models from the Hugging Face platform directly on their phones, without an internet connection. The app, named Google AI Edge Gallery , is currently available for Android, and an iOS version is expected soon. It searches, downloads, and runs AI models on the phone, using its built-in processor. AI models that run online in the cloud are usually more powerful, but there could be certain drawbacks. For example, users may be uncomfortable sharing personal or sensitive data with remote servers, or they might want to use AI features when they don't have Wi-Fi or cellular data. Google is calling this an 'experimental Alpha release'. The app can be downloaded from GitHub . Google AI Edge Gallery's home screen shows shortcuts to different AI tools like 'Ask Image' and 'AI Chat.' When you tap on one, you'll see a list of models that work for that task, including Google's own Gemma 3n model . Live Events The app also includes a feature called 'Prompt Lab,' where users can try out single-task prompts — like summarising or rewriting text. It includes task templates and settings that let users customise how the models behave. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories The caveats related to AI operations remain. Google notes that how well the app works depends on the phone. Newer, more powerful phones will run the models faster. Also, larger models take longer to finish tasks, like answering questions about images, compared to smaller models. Google has invited feedback on the app from developers. It has been released under the Apache 2.0 license , which means it is available for public use , and even for commercial purposes.
Economic Times
an hour ago
- Economic Times
DeepSeek can undercut larger ChatGPT, ace investor Mary Meeker warns
Mary Meeker predicts AI will spawn numerous trillion-dollar companies, with competition intensifying from firms like China's DeepSeek. Rising training costs for leading US models, such as OpenAI's GPT, are creating opportunities for cheaper, task-specific alternatives. The current AI landscape resembles a capital-intensive commodity market, demanding deep funding and patient investors for startups to thrive. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads Artificial intelligence (AI) forerunners like OpenAI could soon face serious competition from cheaper rivals such as China's DeepSeek , according to renowned Silicon Valley analyst and investor Mary Meeker Meeker, an early investor in companies like Meta, Spotify, and Airbnb, told the Financial Times that AI will create 'multiple companies worth $10 trillion' — and not all of them will be based in North America. 'The wealth creation will be extraordinary. We've never had a five-billion-user market that was this easy to reach,' she a recent report, Meeker and others point out that US companies, such as OpenAI's GPT and Google's Gemini, leading the development of large language models (LLMs) are now facing rising training costs. At the same time, competition from players like DeepSeek has intensified.'The business model is in flux,' Meeker wrote. 'Smaller, cheaper models tailored for specific tasks are emerging, challenging the idea that one large, general-purpose LLM can do it all.'While AI companies have enjoyed rise in revenues and stock prices, they face growing threats. New, more powerful chips and improved algorithms are lowering the cost of running AI models. This is helping competitors like DeepSeek launch models that are more affordable and goes on to underscore that, in the short term, these AI businesses are starting to look like commodity operations that burn through venture capital at a rapid pace. Despite the advances in the space, training the most advanced AI models is still extremely expensive. Costs have increased 2,400 times in the past eight years, making it nearly impossible for smaller players to compete. Only a few companies can afford to keep up, and even those lack a clear path to lower prices and more model options benefit consumers, they create a tough environment for startups. To survive, these companies need deep funding and patient investors. Meeker compares their situation to companies like Uber, Amazon, and Tesla , which all spent heavily for years before turning a reported earlier this week how several Indian startups may have to tap external funding to scale up their GenAI-based applications as AI companies such as OpenAI and Anthropic pause steep price cuts of their generative AI rose to fame during her time at Morgan Stanley with bets like Google and Apple, earning the moniker "queen of the internet". She joined venture capital firm Kleiner Perkins in 2010 and later co-founded her own firm, Bond, in 2019.
