Latest news with #GoogleCloudAsiaPacific
Techday NZ
18 hours ago
- Business
- Techday NZ
Trend Micro & Google Cloud expand alliance for AI security
Trend Micro has announced the expansion of its strategic alliance with Google Cloud, focusing on enterprise AI security, data sovereignty, and the defence against online scams in multi-cloud environments. The collaboration is intended to combine Trend Micro's cybersecurity expertise with Google Cloud's cloud services and AI capabilities, offering organisations new security controls as digital threats continue to proliferate. Enterprise AI security One of the central elements in the expanded partnership is the provision of enterprise AI security through Trend Vision One Sovereign and Private Cloud, now integrated with Google Cloud Assured Workloads. This service is aimed at giving enterprises greater flexibility in securing workloads across public, hybrid, and air-gapped on-premise environments, while maintaining stringent control over sensitive data. The addition is positioned to help organisations operating in regulated sectors or regions with strict data sovereignty requirements. By allowing these enterprises to optimise security and compliance without hindering digital transformation, Trend Micro and Google Cloud aim to address evolving regulatory and operational demands. "Our long-time partnership with Trend Micro underscores our shared commitment to enterprise-grade security. By seamlessly extending Google Cloud's native security with Trend Micro's specialised defences, we empower organisations to accelerate their cloud transformation journeys. This enables them to innovate securely and scale confidently in a dynamic AI era," said Karan Bajwa, President, Google Cloud Asia Pacific. Chris Zamagias, ANZ Head of Partnerships and Alliances at Trend Micro, said, "Among hyperscalers, we've seen Google Cloud accelerate as the most in tune with real-world demands, standing out not only for its cloud infrastructure but also for its leadership across AI, data analytics and multiple other domains. Google Cloud's hybrid- and multi-cloud approach - seamlessly supporting both public and private cloud models - reflects the growing enterprise demand for flexibility." Cloud marketplace availability To streamline deployment for customers, Trend Micro solutions, including Trend Vision One and Trend Vision One Sovereign and Private Cloud, are now available via the Google Cloud Marketplace. This accessibility is intended to simplify procurement, deployment, and management for businesses that rely on Google Cloud infrastructure. In addition, Trend Micro reports that its Cloud App Security offering has been widely adopted, noting over four million downloads of the solution from the Google Workspace Marketplace. This growth highlights enterprise interest in third-party cybersecurity tools available directly within the Google ecosystem. Fighting online scams with AI The collaboration has also expanded into the consumer protection domain, especially in response to the global challenge posed by online scams. According to Trend Micro, their ScamCheck application is the first of its kind to leverage Gemini models through Google's Vertex AI platform. This update enables ScamCheck to verify the authenticity of images and SMS messages, aiming to curb the tactics used by fraudsters to trick users. The companies referenced recent findings that place global losses to online scams at over USD $1 trillion, underscoring the magnitude of the problem and the need for AI-driven solutions. The expanded alliance points to continued joint efforts between Trend Micro and Google Cloud to protect digital assets for both enterprises and end-users, amid rising regulatory expectations for data management and increased sophistication among cyber threats.
Economic Times
6 days ago
- Business
- Economic Times
Google's AI model Gemini 2.5 Flash to support local processing of data
Indian developers can now access Google's latest AI model Gemini 2.5 Flash, which will support processing of data locally in the company's data centres in Delhi and Mumbai, allowing them to develop solutions for regulated industries like banking and financial services and for low latency applications. This is part of broader efforts from Google as it continues to invest and grow its footprint in India, Google Cloud Asia Pacific vice-president Bikram Singh Bedi told ET on the sidelines of the Google I/O Connect event here on Wednesday. 'A key part of investments is partnerships, the local customers, with the local partners to drive things forward, as far as AI from Google and Google Cloud are concerned,' he said. The company is also working with enterprises and startups where it is seeing momentum. Speaking at the event, Preeti Lobana, country manager, Google India, said to build endearing companies, startups need to solve fundamental issues in areas such as healthcare, climate and sustainability using deep AI solutions. Building trust, privacy and security from day one is also key. Google has been expanding in the country in recent years. The US-based tech giant currently operates two data centres, in Mumbai and Delhi, and is reportedly in talks to acquire land in Mumbai for another data centre. Bedi did not respond to queries about expanding its data centre presence in is second largest in terms of active developers for Google. According to a report by Public First, the Indian app publishers earned Rs 4 lakh crore through Android and Google Play in is integrating Gemini 2.5 Pro with its developer studio Firebase, which will allow developers to use multimodal prompts. Its open-source AI model, Gemma 3, supports 140 languages, including six Indian startups Sarvam, Soket Labs and are using Gemma to build AI models for various use cases. Sarvam, for instance, has built a translation model using week, Google offered a one-year free subscription of Google AI Pro worth Rs 19,500 to students, where they will be able to access a suite of products including Gemini 2.5 Pro, Notebook LLM and video model Veo 3.
Time of India
6 days ago
- Business
- Time of India
Google's AI model Gemini 2.5 Flash to support local processing of data
Synopsis This is part of broader efforts from Google as it continues to invest and grow its footprint in India, Google Cloud Asia Pacific vice-president Bikram Singh Bedi told ET on the sidelines of the Google I/O Connect event here on Wednesday. 'A key part of investments is partnerships, the local customers, with the local partners to drive things forward, as far as AI from Google and Google Cloud are concerned,' he said.
Time of India
6 days ago
- Business
- Time of India
Gemini goes local as Google courts Indian developers
Bengaluru: When Indian developers previously queried Google's AI models, their requests travelled thousands of kilometres to servers in other countries before returning with responses. That status quo changed a bit when Google unveiled four announcements at its developer-focused I/O event in Bengaluru on Wednesday, with one of the announcements being the localisation of AI processing within India's borders. "Indian developers can now use the powerful AI capabilities of Gemini 2.5 Flash here in India," Bikram Singh Bedi, vice president of Google Cloud Asia Pacific, told TOI. "Processing will now be available in India, and this is going to be critical from a perspective of data residency as well as low latency." The announcement addresses two critical concerns for Indian businesses – data residency regulatory concerns and latency issues. Previously, queries to Google's AI models would route through servers in the US or other global regions, not anymore though. "Certain applications need low latency, especially the ones where you're looking for real-time responses," Bedi explained. You Can Also Check: Bengaluru AQI | Weather in Bengaluru | Bank Holidays in Bengaluru | Public Holidays in Bengaluru The importance of low latency becomes clear when considering real-world applications. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like This Could Be the Best Time to Trade Gold in 5 Years IC Markets Learn More Undo For video streaming services, even milliseconds of delay can mean the difference between smooth playback and frustrating buffering. Financial trading platforms require split-second responses, whilst customer service chatbots need immediate responses to maintain natural conversations. Manufacturing systems monitoring equipment breakdowns cannot afford delays that might result in costly production stoppages. The second major announcement centred on Firebase, Google's popular development platform. "We have deeply integrated the Gemini 2.5 Pro into our development platforms - both AI Studio and Firebase Studio," Bedi revealed. "Developers can now use multimodal prompts — video, image, speech, text — and they can build full-stack AI applications with AI-generated templates and powerful agentic features." The integration, Bedi said, allows developers to give simple prompts directly within the code editor to generate complete applications. Hardware constraints, a perennial concern for Indian developers targeting budget smartphones, formed the backdrop to announcement number three. Google unveiled Gemma 3, the newest member of its open-source family, and highlighted the Gemma 3n variant optimised for devices with as little as 2 giga byte of RAM. "Gemma 3 is significantly ahead of anything else out there and they're supporting 140 languages, including six Indian languages," Bedi said. Skills, rather than silicon, framed the final set piece. Last year's Gen AI Exchange programme—an online academy and hackathon series launched by Google and supported by the central govt—registered 270,000 learners and reached five million developers through satellite events. "Courses completed have topped thirty thousand, but that is only the warm-up," Bedi said, announcing a second edition hackathon that opens for entries next month. Winners will receive Google Cloud credits, mentoring, and a fast track to showcase their projects at next year's I/O. The exchange, launched first in India and now spreading worldwide, is designed to close what Google and other analysts peg as a severe skills gap across IT and security roles. According to Bedi, enterprises in India are rapidly adopting AI in a slew of different verticals. "Look at Federal Bank of India - they are leveraging our AI to improve customer service. They have this friendly AI personal assistant called Fedi," Bedi explained. "They are seeing a 25% rise in customer satisfaction and 50% saving in customer care cost." Mahindra & Mahindra is another example of a large Indian conglomerate leveraging AI in diverse ways, said Bedi. "They are using our Google Cloud Vertex AI platform for cutting-edge work in R&D, engineering, simulations, and manufacturing plants. They're looking at use cases like zero breakdown, energy consumption optimization, among others," Bedi said. Uttar Pradesh, Bedi said, is building an open agricultural network on Gemini "to put micro climate data and market prices in every farmer's pocket". Such examples, he argued, show that generative AI has moved from a curiosity to a basic requirement for organisations and state govts that want to stay competitive.
