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Voice transcription in the financial markets is a complex endeavor given the highly specialized fast-paced nature of the business, and the security required to protect the confidentiality of business deals and strategy. Off-the-shelf transcription services are not fit for purpose and don’t provide the security required by financial services. To provide high-accuracy voice analytics, Symphony uses Google Cloud’s Vertex AI to help finance and trading teams collaborate across multiple asset classes.

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With BigQuery and AlloyDB you can run high-performance transactional and analytical workloads and tap into world-class AI models on Vertex AI. Learn how to create the next generation of data-driven experiences with intelligence built in.

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​​Discover how customers leverage unified capabilities with BigQuery to enable rapid and seamless connection of data with AI, empowering them to extract greater value from their information.

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Artificial intelligence (AI) systems thrive on massive amounts of data and require extensive computational resources. Databases fuel training with diverse data, data structures, efficient storage and retrieval efficiency needed to power these intelligent models. Engage Google engineers to define infrastructure and data strategies for solving long term business challenges. Optimize your AI foundation for growth and robustness to make it future ready. Learn how to streamline infrastructure management and free up resources for innovation. Hosted by the experts at Google Cloud Consulting.

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Supercharge your processes with Gemini for Google Workspace. Build no-code solutions easily using AppSheet and create custom solutions integrated with BigQuery and Vertex AI. Learn how generative AI is evolving to help users tackle common workflow scenarios with ease.

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Learn how to customize a model with tools like tuning, function calling, and grounding. Explore a wide variety of capabilities including adapter tuning and RLHF, and learn about different ways to augment model responses with enterprise or 3rd party data.

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Step into the modern retail store and manufacturing center and learn how to deliver enterprise-ready use cases such as store analytics, inventory detection, visual inspection, and predictive analytics with Google Distributed Cloud, AI, and open source. Manage complex IT resources at scale, enable developer agility, and ensure the highest levels of data security to deliver modern customer experiences-from fast casual to brick-and-mortar, at global scale.

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Explore 130+ models on Model Garden and learn how Vertex AI supports innovation of new generative AI apps. Learn how to optimize MLOps practices, assess different prompts and model responses, and compare different model variants.

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Traditional enterprises can unlock their full potential and achieve transformative results by adopting a Cloud-first, AI-first approach. In this session, Infosys experts share a comprehensive blueprint powered by Infosys Topaz and Infosys Cobalt offerings on Google Cloud. Gain insights into the power of this dynamic duo and learn how Infosys is uniquely positioned to navigate enterprises through this transformative journey. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Businesses need to predict what customers want and create personalized experiences to gain a competitive advantage and drive revenue. They need to deliver customized, tailored interactions that increase customer acquisition, improve loyalty and increase satisfaction. Join Fullstory’s Head of Data Products to learn how Data + Engineering teams can supercharge tools like DialogFlow and BigQuery with unprecedented behavioral data to accurately forecast and create experiences that outpace the competition and keep customers coming back for more. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.