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GoogleCloud Next 2025 was a showcase of groundbreaking AI advancements. and the Live API Google continues to push the boundaries of AI with their latest “thinking model” Gemini 2.5. The post The AI Future According to GoogleCloud Next ’25: My Interesting Finds appeared first on Xebia.
During his tenure, he helped build GoogleCloud into the fourth-largest enterprise software company by increasing annualized revenue from $7 billion to over $41 billion. In an earnings call with analysts on Wednesday afternoon, ServiceNow CEO Bill McDermott championed Zavery’s hiring.
In this blog, I will show you how you can convert the output of a GoogleCloud Asset query into JSON format using the command line, or to an Python object in a Python program. This transformation will streamline your workflow and make reporting and data handling easier. Image by S.
When it comes to AI, the secret to its success isn’t just in the sophistication of the algorithms — it’s in the quality of the data that powers them. AI has the potential to transform industries, but without reliable, relevant, and high-quality data, even the most advanced models will fall short.
AI in the enterprise has become a strategic imperative for every organization, but for it to be truly effective, CIOs need to manage the data layer in a way that can support the evolutionary breakthroughs in large language models and frameworks. CIOs must ensure that these diverse workloads consistently use a single, shared data copy.
This quarter, we continued to build on that foundation by organizing and contributing to events, meetups, and conferences that are pushing the boundaries of what’s possible in Data, AI, and MLOps. It featured two excellent presentations by Mark Schep (Mark Your Data) and Tristan Guillevin (Ladataviz). at an ASML internal meetup.
GoogleCloud has partnered with SuperGaming to offer the Indian gaming startup’s proprietary gaming engine, SuperPlatform, to developers worldwide, the latest in a series of recent steps from the Android-maker to expand focus into the gaming industry. The two did not disclose financial terms of the deal.
VMware Cloud Foundation on GoogleCloud VMware Engine (GCVE) is now generally available, and there has never been a better time to move your VMware workloads to GoogleCloud, so you can bring down your costs and benefit from a modern cloud experience. TB raw data storage ( ~2.7X TB raw data storage.
Salesforce and Google expanded their strategic partnership on Monday to enable Salesforce customers to use Google Gemini to build Salesforce Agentforce AI agents and to deploy Salesforce on GoogleCloud. The partners said they expect to make this capability available in the coming months.
The early part of 2024 was disappointing when it comes to ROI, says Traci Gusher, data and analytics leader at EY Americas. With these paid versions, our data remains secure within our own tenant, he says. We use AI to generate the first draft of the response to the RFP by using past RFPs and other data sets.
However, trade along the Silk Road was not just a matter of distance; it was shaped by numerous constraints much like todays data movement in cloud environments. Merchants had to navigate complex toll systems imposed by regional rulers, much as cloud providers impose egress fees that make it costly to move data between platforms.
GoogleCloud’s annual Next event is happening in San Francisco next week (and we’ll be on the ground to cover all of the announcements), but ahead of the event, GoogleCloud today put a spotlight on its partner ecosystem. ” When the ISVs grow, GoogleCloud grows, after all. .
Broadcom and GoogleClouds continued commitment to solving our customers most pressing challenges stems from our joint goal to enable every organizations ability to digitally transform through data-powered innovation with the highly secure and cyber-resilient infrastructure, platform, industry solutions and expertise.
In a bid to help retailers transform their in-store, inventory-checking processes and enhance their e-commerce sites, Google on Friday said that it is enhancing GoogleCloud for Retailers with a new shelf-checking, AI-based capability, and updating its Discovery AI and Recommendation AI services.
In an era when artificial intelligence (AI) and other resource-intensive technologies demand unprecedented computing power, data centers are starting to buckle, and CIOs are feeling the budget pressure. To address these issues, IT organizations are increasingly migrating workloads to the cloud to gain operational efficiency and agility.
While overall revenue growth slowed to 6% in the quarter for Alphabet, GoogleCloud grew 38% year-on-year to $6.9 I’ve long shared that cloud is a key priority for the company,” said Sundar Pichai, CEO at Alphabet, while addressing analysts on Tuesday, according to a transcript from Motley Fool. “The
Google on Tuesday said it was updating its AI agent-based technology to add an enterprise-scale translation service, and to further automate document processing. . The Translation Hub, according to the company, is an AI agent-based service that offers self-service document translation with support for 135 languages.
Think about this choice in terms of your own home, imagining your core business applications as the very foundation of your house, says Ken Bocchino, Group Product Manager at GoogleCloud. In this way, IT can employ the clouds ubiquitous access and security features without having to refactor and re-network their applications.
California-based Baffle, a startup that aims to prevent data breaches by keeping data encrypted from production through processing, has raised $20 million in Series B funding. Baffle was founded in 2015 to help thwart the increasing threats to enterprise assets in public and private clouds. Read more: Opaque raises $9.5M
Setup and integration with GoogleCloud Platform (GCP) for AI and chat capabilities by @nomisRev. Adds GoogleCloud Platform Integration and More appeared first on Xebia. Efforts to streamline the CI/CD process, addressing failing actions and CI issues by @victorcrrd. Here’s to more exciting releases ahead!
that was building what it dubbed an “operating system” for data warehouses, has been quietly acquired by Google’s GoogleCloud division. Dataform scores $2M to build an ‘operating system’ for data warehouses. Joining GoogleCloud should enable the team to continue that mission.
By migrating its essential systems to GoogleCloud, Almarai now leverages a scalable, flexible, and cost-effective platform designed to accelerate its pace of innovation and enhance resilience in a competitive global market. “At Our partnership with GoogleCloud reflects our dedication to innovation and excellence.
There are many benefits of running workloads in the cloud, including greater efficiency, stronger performance, the ability to scale, and ubiquitous access to applications, data, and cloud-native services. That said, there are also advantages to a hybrid approach, where applications live both on-premises and in the cloud.
An agentic era needs a platform that brings AI, data, and workflows together, and that should be an open, connected, enterprise-ready platform, said ServiceNows chief innovation officer Dave Wright in a press conference last week. ServiceNow said it expects the new model to be available in Q2 this year.
With the power of real-time data and artificial intelligence (AI), new online tools accelerate, simplify, and enrich insights for better decision-making. For banks, data-driven decisions based on rich customer insight can drive personalized and engaging experiences and provide opportunities to find efficiencies and reduce costs.
In this webinar , Je roen Ov erschie , a M achine L earning E ngineer at Xebia Data, expl ains how RAG works by going through four different levels of complexity. Jeroen will take you along RAG applications, and their implementations on GoogleCloud Platform (GCP). It allows you to insert data unseen to the model before.
Dig , a Tel Aviv-based clouddata security startup, has emerged from stealth with an $11 million investment to help organizations protect data stored in public cloud environments. Companies don’t know what data they hold in the cloud, where it is or most importantly how to protect it.
The big investments in generative AI may eventually rival traditional cloud investments but that does not mean top cloud providers — all of whom are top AI platforms providers — will suffer. According to IDC, 53% of enterprises plan to start with a pretrained model and augment it with enterprise data.
Berlin-based low-code data platform Y42 today announced that it has raised a $31 million Series A funding round co-led by Atomico and Insight Partners. Y42 wants to provide its users with an end-to-end data platform that can replace the various tools they are using today to integrate, transform, orchestrate and visualize their data.
Josh Berman is president of C2C , an independent and vetted GoogleCloud community with a unique pulse on the cloud market. Gartner projects that global spending on cloud services is expected to reach over $482 billion in 2022, up from $313 billion in 2020. Josh Berman. Contributor. Share on Twitter.
Applications can be connected to powerful artificial intelligence (AI) and analytics cloud services, and, in some cases, putting workloads in the cloud moves them closer to the data they need in order to run, improving performance. Theres no downtime, and all networking and dependencies are retained. Refresh cycle.
Comtrade — having sold the intellectual property of data monitoring software it created for Citrix and Microsoft — realized it could develop and sell data protection products through its own channels. “HYCU is … focused on data resiliency,” Taylor said. It’s almost certainly grown since.
Reviewing all your granted IAM permissions in your GoogleCloud organization can become a quite cumbersome task and can be very time-consuming. To simplify permission reviews, we created a bash script to generate a quick and thorough overview of IAM bindings/roles across the entire GoogleCloud Platform.
Reviewing all your granted IAM permissions in your GoogleCloud organization can become a quite cumbersome task and can be very time-consuming. To simplify permission reviews, we created a bash script to generate a quick and thorough overview of IAM bindings/roles across the entire GoogleCloud Platform.
The company was founded in 2019 by two former Google employees, Webb Brown and Ajay Tripathy, who previously worked on infrastructure monitoring solutions for Google infrastructure and GoogleCloud. Kubernetes is at the heart of the modern enterprise tech stack.
Strong domain expertise, solid data foundations and innovative AI capabilities will help organizations accelerate business outcomes and outperform their competitors. The key to driving real impact lies in seamlessly integrating data and AI into the way businesses work, said Rohit Kapoor, chairman and CEO, EXL.
Large language models (LLMs) are very good at spotting patterns in data of all types, and then creating artefacts in response to user prompts that match these patterns. Focus on data assets Building on the previous point, a companys data assets as well as its employees will become increasingly valuable in 2025.
For all the talk about the criticality of data for businesses, enterprise data is commonly siloed, unreconciled and spread across disparate systems, making it challenging to use and analyze. “The siloing of data has historically forced IT teams into a ‘command and control’ posture.
During his one hour forty minute-keynote, Thomas Kurian, CEO of GoogleCloud showcased updates around most of the companys offerings, including new large language models (LLMs) , a new AI accelerator chip, new open source frameworks around agents, and updates to its data analytics, databases, and productivity tools and services among others.
Some cloud architect roles are tailored to AWS or Azure while others may be targeted at specific knowledge areas such as infrastructure or blockchain. Cloud architects also need to be prepared to maintain upskilling through their careers, ready to address and accommodate emerging and trending technology.
What makes graph databases like Neo4j unique is their focus on the connections between individual data entities. Graph-based data models have become central to modern machine learning and artificial intelligence applications, and are now widely used by data analysts in applications as diverse as marketing to fraud detection.
Google’s making the second generation of Imagen, its AI model that can create and edit images given a text prompt, more widely available — at least to GoogleCloud customers using Vertex AI who’ve been approved for access. All rights reserved. For personal use only.
Re-platforming to reduce friction Marsh McLennan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. Simultaneously, major decisions were made to unify the company’s data and analytics platform. The biggest challenge is data.
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