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Cloudblog

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Cloud CISO Perspectives: How digital sovereignty builds better borders for the future

  • Archana Ramamoorthy, senior director of product management at Google Cloud, discusses the importance of digital sovereignty for data security and control.
  • Google Cloud has been developing technology and solutions to help customers address security, compliance, and privacy needs.
  • Their approach to digital sovereignty aims to provide organizations with stronger controls over data and digital infrastructure.
  • Google Cloud's pillars of sovereignty include data, operational, and software sovereignty to address varying organization requirements.
  • They offer solutions like Google Sovereign Cloud to meet data, operational, and software sovereignty needs for customers.
  • Partnerships with companies like Thales enable the creation of trusted clouds to meet security and compliance goals in Europe.
  • Google Distributed Cloud (GDC) ensures a sovereign data and operational boundary with AI and database services for business continuity.
  • Implementing a digital sovereignty strategy involves clarifying its importance, assessing operational impacts, and aligning with the organization's goals.
  • Google Cloud emphasizes secure AI infrastructure to help customers maintain control over data access and operational aspects.
  • The article also covers other security updates, including threat intelligence news and podcasts from Google Cloud.

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Cloudblog

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How WindTL is transforming wildfire management with Google Cloud

  • WindTL, developed by Improving Aviation, is a tool powered by AI and data to predict wildfire spread and assist first responders in real-time.
  • Through Google Cloud, WindTL leverages scalable infrastructure for data processing and model deployment, enhancing its capabilities.
  • WindTL provides science-based AI decision-making abilities, aiding in understanding wildfire ignition risks and combatting ember spread.
  • The tool integrates with SkyTL, utilizing an architecture with components like AI-driven modeling, data analytics, and cloud scalability.
  • Google Cloud's technologies have accelerated model execution, improved data processing, and enhanced prediction accuracy for WindTL.
  • Improving Aviation's collaboration with Google Cloud has resulted in technical enhancements and lessons on scalability for AI-powered systems.
  • WindTL's innovation in wildfire prediction and management is featured in a Google Cloud video showcasing its impact and capabilities.
  • Lessons learned from the partnership include designing scalable architectures for real-time applications and optimizing AI models collaboratively.
  • WindTL aims to revolutionize disaster management with advanced AI applications supported by Google Cloud infrastructure and tools.
  • Developers can utilize Google Cloud's Vertex AI and learn more about WindTL for building scalable systems to address wildfire challenges.

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Droid-Life

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This is Could be the Pixel 10 Pro Fold and It Looks Just Like the Pixel 9 Pro Fold

  • Leaked renders suggest that the upcoming Google Pixel 10 Pro Fold looks identical to the Pixel 9 Pro Fold from last year.
  • The leaked renders are essentially CAD-based images that are typically accurate representations of official designs.
  • It is speculated that the Pixel 10 series will prominently feature Google's new Tensor G5 chip, focusing on AI capabilities.
  • Other details about the Pixel 10 Pro Fold are not available in the current leak.

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Analyticsindiamag

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Did Google Just Build The Best AI Model for Coding?

  • Google has introduced Gemini 2.5, which is being acclaimed as potentially the best AI model for coding, surpassing Anthropic's Claude.
  • Gemini 2.5 Pro Experimental outperformed other models in the Aider Polyglot leaderboard, scoring 72.9%.
  • Developers have praised Gemini 2.5 for its efficiency in identifying flaws in code and rewriting applications effectively.
  • The model is noted for accurately reproducing user interfaces and handling large codebases.

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Androidauthority

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Google is now letting free users try out Gemini 2.5 Pro

  • Google has made its Gemini 2.5 Pro AI model available to free users.
  • Previously, Gemini 2.5 Pro was only accessible to developers and advanced users.
  • Google plans to expand the Gemini Live video feature.
  • Gemini 2.5 Pro (experimental) can now be found in AI Studio and the Gemini app.

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Androidauthority

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Pixel Screenshots is getting a widget, and we have a first look at it (APK teardown)

  • Google is planning to release a Pixel Screenshots widget, which brings latest screenshots and tools to the homepage.
  • The widget is part of the Pixel Screenshots app, exclusive to Google Pixel 9 series.
  • The app uses AI to organize screenshots and allows users to search for content in past screenshots.
  • The release date for the Pixel Screenshots widget is yet to be announced, but it could debut at Google I/O in May or the June Pixel Drop.

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The Verge

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TikTok, tariffs, and trials: everything happening in tech’s chaotic April

  • April is filled with momentous turns in long-running tech policy stories, some possibly industry-changing.
  • Important events coming up in April include TikTok's sell-by deadline, new tariffs, and juggernaut antitrust cases involving Apple and Meta.
  • Tariffs are set to be announced on April 2nd, and the tech industry faces challenges despite cozying up to President Trump.
  • The coming weeks in April could be extraordinarily busy and bring significant changes to the tech industry.

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Spamresource

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Gmail Tabs: Friend or Foe?

  • Email marketers are concerned about the impact of Apple Mail's categorization functionality on their email campaigns.
  • Gmail tabs, which were introduced in 2013, already provided a similar mechanism for organizing emails.
  • Understanding and experience with Gmail tabs can be applied to the new world of Apple categories.
  • Opinions on Gmail tabs are divided, with some people not liking or wanting this feature.

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Medium

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Google launched Column Granularity for BigQuery

  • Google has introduced column granularity for BigQuery search indexes.
  • Column granularity allows BigQuery to optimize search queries by storing additional column information in the search index.
  • By setting the column granularity for an indexed column, you can improve search query performance.
  • The new feature helps reduce costs and speed up queries for BigQuery users.

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Silicon

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Google Brings Android Development In-House In Major Shift

  • Google has confirmed it will be taking the development of Android entirely in-house, which is a significant change for the open-source mobile operating system.
  • Key components of Android that were previously developed in public on the Android Open Source Project (AOSP) branch will now be developed on Google's internal branch.
  • This change is aimed at streamlining development by eliminating the need for Google to merge the AOSP and internal branches for each final release.
  • The shift has raised concerns about technological fragmentation and the development of competing operating systems, such as Huawei's HarmonyOS.

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Androidauthority

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No, you’re not going crazy: One of the best Pixel Weather app features is now missing

  • Google has removed the handy Weather Map from the Pixel Weather app.
  • The change has been noticed across all Pixel devices.
  • It's unclear if this removal is intentional or a mistake, as other weather features remain unchanged.
  • Users are confused and disappointed as the Weather Map was a useful feature for real-time, visual weather updates.

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Medium

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Evaluating Google’s Hold on Our Digital Lives

  • Google's hold on our digital lives is being evaluated, with concerns about privacy invasion.
  • The subreddit r/degoogle is a platform focusing on alternatives to Google's apps and services, along with discussions on limiting their usage.
  • Valid arguments are made regarding Google's use of personal data for targeted ads.
  • The decision to de-Google involves considering the value of free apps and services, and the trade-off with data privacy.

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Digitaltrends

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I let Gemini turn complex research into podcasts. I’ll never go back

  • Gemini has revolutionized AI interactions with its natural language understanding and fluid app interactions.
  • Audio Overviews feature on Gemini allows users to convert complex research papers into engaging podcasts effortlessly.
  • Engaging with text-based material through audio podcasts offers a more immersive and memory-enhancing learning experience.
  • Podcasts enhance convenience, accessibility, and flexibility in information consumption, making learning more engaging.
  • Gemini's Audio Overviews have proven to be effective in aiding memory retention and understanding complex topics better.
  • However, Gemini's audio overviews may sometimes miss out on details and have limitations in adjusting length and depth of content conversion.
  • Language barriers and pronunciation issues exist in Gemini's AI-hosted podcasts, affecting the overall user experience.
  • While not a perfect solution, Gemini's Audio Overviews offer an alternative and engaging method to consume content beyond traditional reading.
  • Google's Gemini AI model is evolving to provide more natural and personalized interactions, despite some current limitations.
  • Gemini's introduction of audio-based learning methods reflects the growing trend and effectiveness of podcasts in education and entertainment.

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Digitaltrends

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Google’s latest AI model, Gemini 2.5 Pro, is now available for all users

  • Google has released its latest AI model, Gemini 2.5 Pro, to all users.
  • Gemini 2.5 Pro is now available in an experimental state on the web.
  • The model offers enhanced coding, math, and science capabilities.
  • Users can try out Gemini Advanced with a one-month free trial before subscribing.

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Siliconangle

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Security do-over: How Palo Alto Networks sees the reset

  • Automation and AI have rendered traditional cybersecurity approaches ineffective as attackers can scale up attacks at unprecedented rates, overwhelming human capabilities.
  • Palo Alto Networks suggests consolidating security tools into a single platform for real-time AI operation to simplify operations and enhance security.
  • The volatility in global trade policies and supply chains affects IT spending confidence, but cybersecurity investments are seen as more resilient due to the essential role of safeguarding data.
  • Cybersecurity market sees growth with a focus on AI-driven outcomes and automation, while a crowded market presents challenges and opportunities for vendors.
  • Different vendors like Microsoft, Google, CrowdStrike, and Cisco pose competition in the cybersecurity market, emphasizing the need for integrated security platforms.
  • Platformization versus best-of-breed remains a debate in cybersecurity, with Palo Alto's strategy focusing on unified security platforms despite market trends favoring multiple vendors.
  • AI's role in cybersecurity is growing, with vendors emphasizing the need for AI-driven threat detection and response to stay ahead of evolving cyber threats.
  • Cybersecurity sector is expected to see more competitive AI-driven solutions, where success will depend on efficient data pipelines, seamless integrations, and threat correlation at machine speed.
  • Palo Alto's platformization strategy aims to offer simplicity, data efficiency, and reduced latency in threat detection, challenging the momentum of best-of-breed solutions.
  • The cybersecurity industry is evolving with a focus on consolidating security stacks and leveraging AI, but challenges such as quantum threats and market competition remain.
  • The future of cybersecurity remains uncertain, with providers needing to balance innovation and market demands to succeed in the ever-changing landscape.

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