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The increasing adoption of open database standards has highlighted the need for efficient migration tools. This session will showcase how Database Migration Service (DMS) is transforming migrations from Oracle to AlloyDB for PostgreSQL. DMS leverages AI to expedite migrations and enhance developer productivity through code conversion and explainability.

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Impesa worked with Google Cloud to modernize their infrastructure and move their SaaS platform to the cloud. A 28% reduction in costs, increased transaction speeds, and improved scalability are just a few of the benefits they've seen since their migration. Read the full case study to learn more about their journey: https://lnkd.in/ducjiSwv #GoogleCloud https://google.smh.re/4PI2

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Why Choose AWS Control Tower? 🔸 Ensures best practices in security and architecture 🔸 Simplifies expansions and compliance 🔸 Allows teams to focus on innovation, not IT management

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Get to know Gemini in Databases: an #AI-powered assistant that helps across all stages of the database journey and simplifies all aspects of database operations with features like Database Insights, Database Migration Service, and more. #GoogleCloudNext

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Database Center simplifies database management with a single, unified view of all your Google Cloud managed database services, including Bigtable, Memorystore and Firestore. You can monitor these database resources across your entire organization, spanning multiple engines, versions, regions, projects, and environments or applications using labels. https://google.smh.re/4cBW

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Looking to build a data-driven future without the security risks? 🔒 Explore how Google Cloud's Dataplex helps you create a multi-layered, robust security framework for your entire data ecosystem. Dive deeper into the strategies and best practices in this insightful resource: https://lnkd.in/dE4fVRXa #Dataplex #DataSecurity #GoogleCloud #DataEcosystem #Cybersecurity #DataProtection #GoogleDataAnalytics #GoogleData+AI

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GFT and Google Cloud have been collaborating since 2019, helping manufacturers centralize their data and leverage it for innovative AI applications throughout their production processes. Now, we're offering a tangible glimpse into how these applications can be deployed in real-world factory settings at MxD's (Manufacturing x Digital) innovation center. This demonstration showcases practical implementations of Google Cloud's Manufacturing Data Engine (MDE), a cloud-based platform that enables companies to aggregate and analyze data from every machine across their entire factory network. By making this data readily accessible, manufacturers can unlock its potential for various AI-driven use cases. machine learning applications that make these factories run faster and smoother. #cloud #manufacturing #AI #data

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MongoDB and PeerIslands are working closely with FinServ companies to help them achieve their goals. 🎯 Tune into this webinar to learn how to streamline digitization, cut cloud costs, leverage modern databases, and harness AI for modernization—while keeping business value top of mind. 👇 https://lnkd.in/gmH2-bGU

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We're thrilled to share that MongoDB Atlas for Government is the first multi-cloud data platform authorized at FedRAMP Moderate. This is a groundbreaking achievement that highlights our commitment to providing secure and reliable solutions for government agencies. Learn more about this milestone here: #MongoDB #FedRAMP #DataPlatform #GovernmentSolutions

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How Alaska Airlines used #AI to save over 1.2 million gallons of jet fuel It uses the AI platform to optimize flight routes by analyzing data like weather, airspace restrictions, and historical traffic. https://lnkd.in/gtQDa6ns #ArtificialIntelligence

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How Alaska Airlines used #AI to save over 1.2 million gallons of jet fuel It uses the AI platform to optimize flight routes by analyzing data like weather, airspace restrictions, and historical traffic. https://lnkd.in/gtQDa6ns #ArtificialIntelligence

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Excited to share a transformative experience from AWS re:Invent! I had an enlightening one-on-one conversation with Michael Semick , the visionary founder and CTO of BlueOcean, about the intricacies of founding a startup. Michael’s candid insights into the startup journey were eye-opening: 1. Embracing Uncertainty: He emphasized that the early days are filled with ambiguity, and learning to navigate this is crucial. 2. Team Building: Michael stressed the importance of assembling a diverse, passionate team aligned with the company’s vision. 3. Pivot Readiness: He shared how being prepared to pivot quickly in response to market feedback was key to BlueOcean’s growth. 4. Funding Challenges: Michael offered valuable advice on approaching investors and managing finances during lean periods. 5. Work-Life Integration: He discussed the reality of long hours and the need for founders to find sustainable ways to maintain energy and focus. 6. Customer-Centric Approach: Michael emphasized the importance of staying close to your customers and iterating based on their needs. What to look out for: • Scaling Too Fast: Michael shared lessons learned about the pitfalls of premature scaling. • Market Fit: He highlighted the critical nature of continually validating product-market fit. I left our conversation feeling inspired and better prepared for the startup journey. Michael’s experiences and insights were invaluable, offering a realistic yet encouraging perspective on the challenges and rewards of founding a company. Grateful for this opportunity to learn from such an accomplished founder. Thank you, Michael, for your openness and wisdom! #StartupFounder #EntrepreneurshipJourney #AWSTechTalks #StartupChallenges #FounderInsights

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Organizations increasingly adopting open database standards require efficient migration tools, particularly for heterogeneous migrations. Database Migration Service (DMS) addresses this need by revolutionizing migrations from Oracle to AlloyDB for PostgreSQL. Utilizing AI, DMS accelerates migrations and enhances developer productivity through automated code conversion and explainability.

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Explore the potential of MongoDB Atlas CDC and AWS Glue Streaming to transform data strategies. Unveil how businesses can leverage streaming data from legacy systems such as SAP and Mainframe for enhanced analytics and insights. https://lnkd.in/gTNuJjZP

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AWS re:Invent 2024 delivered groundbreaking announcements with significant implications for cloud adoption in the public sector. Here's my perspective as a Chief Architect at Accenture Federal Services: Generative AI Takes Center Stage Amazon Bedrock: Enhanced features like model distillation enable agencies to deploy powerful AI solutions even with limited resources or strict security requirements. Bedrock's focus on data security and privacy is crucial for compliance with federal regulations. Amazon Nova: These new foundation models can revolutionize how agencies process and understand data, opening doors for innovation in areas like natural language processing and synthetic data generation. Trainium2 UltraServers: These servers accelerate complex AI workloads while adhering to stringent security and compliance standards, enhancing the performance of mission-critical applications. Compute Gets a Performance Boost Amazon EC2 Trn2 Instances: These instances offer attractive price-performance benefits for budget-conscious agencies. Thorough evaluation of their security posture is crucial before widespread adoption. AWS Trainium3: This signals AWS's commitment to purpose-built AI acceleration, ensuring federal agencies have continued access to cutting-edge technology. Amazon EC2 P5en Instances: With high bandwidth and networking capabilities, these instances are ideal for demanding federal workloads like high-performance computing. Integration with AWS GovCloud (US) will be key for supporting sensitive applications. Storage and Database Advancements Amazon S3 Innovations: New features like S3 Tables and S3 Metadata offer valuable tools for data management. Implementation must align with federal requirements for data governance and compliance. Amazon Aurora DSQL: This capability offers possibilities for modernizing legacy applications by bridging the gap between relational and document data. Looking Ahead re:Invent 2024 showcased the transformative potential of cloud computing for the public sector. Accenture Federal Services is committed to helping our clients navigate this landscape and leverage these innovations to achieve their mission objectives. https://lnkd.in/eF6jTVsg #AWS #reInvent #GenerativeAI #CloudComputing #FedGov #Innovation #AccentureFederalServices

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Learn how an event-driven microservices architecture works and explore how it’s used to create systems that are #flexible and #scalable. Read more. #CloudComputing https://bit.ly/3M0sw1Y

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