Google Cloud Archives - Liwaiwai

Effective Strategies To Closing The Data-Value Gap

We have been going through a phenomenal amount of technological advances in the space of big data and cloud, driven by the organizations’ needs to get value out of data. It’s a given that data drives innovation, but business needs are changing more rapidly than processes can accommodate, resulting in a widening gap between data and value. Luckily, there are proven strategies that organizations can utilize to close the data-value gap. According to McKinsey, top performing organizations who see the highest returns from Artificial Intelligence (AI) are more likely to follow strategy, data, models, tools, technology and talent best practices.…

Try Bard And Share Your Feedback

We’re starting to open access to Bard, an early experiment that lets you collaborate with generative AI. We’re beginning with the U.S. and the U.K., and will expand to more countries and languages over time. Today we’re starting to open access to Bard, an early experiment that lets you collaborate with generative AI. This follows our announcements from last week as we continue to bring helpful AI experiences to people, businesses and communities. You can use Bard to boost your productivity, accelerate your ideas and fuel your curiosity. You might ask Bard to give you tips to reach your goal of reading more…

Google Data Cloud & AI Summit : In Less Than 12 Hours From Now

The global event by Google Cloud is happening in less than a day now. If you haven’t registered yet, you can do it here. As with most of their events, this is also free. The topic involves AI and data management on the Google Cloud platform. The event has 2 tracks, one for “AI Innovation” and another for “Data Essentials”. These tracks happen at the same time. But don’t worry about missing the other, they usually make the videos available publicly. Some of the products and services that will be included are BigQuery, Vertex AI, MongoDB Atlas on Google Cloud,…

Document AI Introduces Powerful New Custom Document Classifier To Automate Document Processing

Businesses rely on an inflow of documents to drive processes and make decisions. As documents flow into a business, many are not classified by type, which makes it difficult for businesses to manage at scale. At Google Cloud, we’re committed to solving these challenges with continued investment in our state-of-the-art machine learning product for document processing and insights: Document AI Workbench, which helps users quickly build models with world-class accuracy trained for their specific use cases. In February 2023, we launched the Custom Document Extractor (CDE) in GA to help users extract structured data from documents in production use cases.…

How AI Can Improve Digital Security

AI is having a transformative moment and causing profound shifts in what’s possible with technology. It has the power to unlock the potential of communities, companies, and countries around the world, bringing meaningful and positive change that could improve billions of peoples’ lives. Similarly, as these technologies advance, they have the potential to vastly improve how we identify, address, and reduce security risks. We’re at a key moment in our AI journey Breakthroughs in generative AI are fundamentally changing how people interact with technology. At Google Cloud, we’re committed to helping developers and organizations stay on top of these developments.…

Mr. Cooper Is Improving The Home-buyer Experience With AI And ML

As one of the largest home loan servicers in the country, Mr. Cooper has been helping people with homeownership since 1994. Believing that the process could be streamlined, we saw an opportunity to revolutionize the way people bought their dream homes, starting with transforming paper-based processes. And we believed that digitizing and automating as much of that journey as possible was the way forward. Traditionally, mortgage lenders require borrowers to submit various documents such as payslips and W2 wage and tax statements for loan applications. Since each document requires manual classification and verification, the process created significant delays to the…

Peacock: Tackling ML Challenges By Accelerating Skills

At Peacock, we are acutely aware of global trends and changes in adopting machine learning (ML) techniques, particularly in the field of media and entertainment. We anticipate that, within several years, most software applications will have an element of ML and will require fine tuning of a model, putting increasing demand on ML training infrastructure. As the Director of Analytics Tooling at Peacock, I head up a team of engineers whose primary aim is to build scalability into our tools and processes, enabling us to keep up with the ever-changing field of ML engineering and create a better user experience.…

Coop Reduces Food Waste By Forecasting With Google’s AI And Data Cloud

Although Coop has a rich history spanning nearly 160 years, the machine learning (ML) team supporting its modern operations is quite young. Its story began in 2018 with one simple mission: to leverage ML-powered forecasting to help inform business decisions, such as demand planning based on supply chain seasonality and expected customer demand. The end goal? By having insight into not only current data but also projections of what could happen in the future, the business can optimize operations to keep customers happy, save costs, and support its sustainability goals (more on that later!). Coop’s initial forecasting environment was one…

BigQuery Under The Hood: Behind The Serverless Storage And Query Optimizations That Supercharge Performance

Customers love the way BigQuery makes it easy for them to do hard things — from BigQuery Machine Learning (BQML) SQL turning data analysts into data scientists, to rich text analytics using the SEARCH function that unlocks ad-hoc text searches on unstructured data. A key reason for BigQuery’s ease of use is its underlying serverless architecture, which supercharges your analytical queries while making them run faster over time, all without changing a single line of SQL. In this blog, we lift the curtain and share the magic behind BigQuery’s serverless architecture, such as storage and query optimizations as well as…

The Next Generation Of AI For Developers And Google Workspace

We’re bringing the power of generative AI to developers and businesses through Google Cloud and MakerSuite. And we’re introducing new AI-powered features in Google Workspace. Google has been investing in AI for many years and bringing its benefits to individuals, businesses and communities. Whether it’s publishing state-of-the-art research, building helpful products or developing tools and resources that enable others, we’re committed to making AI accessible to everyone. We’re now at a pivotal moment in our AI journey. Breakthroughs in generative AI are fundamentally changing how people interact with technology — and at Google, we’ve been responsibly developing large language models so we can safely bring them to…

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