Go is the language of the cloud: Startups, enterprises, and cloud providers themselves have long relied on Go to build and operate their business-critical systems and infrastructure. Now, with the onset of generative AI, developers can once again leverage Go’s signature capabilities to productively build scalable, secure, and production-ready AI-powered applications.

In this session, we’ll review Go’s growing AI ecosystem and walk through examples of how developers can integrate their Go services with both managed and open-source AI models.

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Enabling generative AI powered applications on-premise can be challenging due to the complexity of managing infrastructure, the massive scale of data, and security and compliance. Customers with stringent data residency requirements can now access large language models (LLMs) that can be easily integrated in their applications automating natural language tasks such as transcription, text classification that make their workforce productive, or other application areas such as network mapping.

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Not every organization is adequately equipped to apply generative AI; you need the best tool for the job. Whether your organization is building security products or you’re a security analyst needing to quickly assess malicious behavior using signals from a variety of systems, this session shows how you can leverage generative AI across different use cases to more effectively and efficiently address your security challenges. Broadcom, a partner and trusted tester for AI security, will also share some best practices and provide insights from their experience.

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The advent of Generative AI has ushered in an unprecedented era of innovation, marked by the transformative potential of Large Language Models (LLMs). The immense capabilities of LLMs open up vast possibilities for revolutionizing business ops and customer interactions. However, integrating them into production environments presents unique orchestration challenges. Successful orchestration of LLMs for Retrieval Augmented Generation (RAG) depends on addressing statelessness and providing access to the most relevant, up-to-date information. This session will dive into how to leverage LangChain and Google Cloud Databases to build context-aware applications that harness the power of LLMs. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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RAG (retrieval-augmented generation) systems ground generative AI models in your own data, ensuring factuality, relevance, and control in the performance of your enterprise applications. However, building a RAG system from scratch is complex. In this session we'll share how Vertex AI Search can serve as an out-of-the-box RAG system for enterprise applications, handling data management, embedding, indexing, and retrieval with minimal setup time. Follow along to see how you can build and deploy a RAG-powered app in minutes and hours.

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Discover the latest innovations within Google's machine learning ecosystem to help you navigate technology to bring ML to any device, website, or app. Uncover the power of generative AI with Gemini. From ideas to accelerated workflows, learn how to leverage Gemini’s capabilities for creative text formats, code generation, and more.

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Alejandro Matamala Ortiz is the Co-Founder and Chief Design Officer of Runway, an applied AI research company shaping the next era of art, entertainment, and human creativity. Runway has pioneered research in multi-modal AI systems by applying deep learning techniques to audiovisual content, building a future where content creation is accessible, controllable and empowering for creatives. Join us as we speak to Alejandro about the intersection of design, technology and creativity as generative AI becomes ubiquitous. Learn his perspective on the importance of designing flexible products and solutions, to deliver value for users today and enable an agile business model for the future.

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Uncover how Accenture leads the charge in harnessing Google's cutting-edge Generative AI technologies to develop innovative client solutions. This session features a captivating live demo that highlights the game-changing potential of Natural Language Search and Q&A functionalities within a client portal. Explore how these tools navigate through technical documentation, incidents, and threat intelligence, providing unparalleled insights into business operations and critical incident management. Witness how Accenture is not just keeping pace with the AI revolution but actively shaping its trajectory, offering a glimpse into the future of business intelligence and operational efficiency.

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Industry leaders from Netflix, Bristol Myers Squibb, Airbus, and Nubank come together to share how generative AI is driving transformative impact and accelerating workflows across industries.

Discover how AI is slashing drug discovery timelines, boosting efficiency in areas like contracting, technical documentation, and customer support. Explore how Google Vertex AI's model garden empowers the creation of custom AI models trained on your own data, and how Google Workspace seamlessly integrates generative AI for a user-friendly experience for all employees.

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Generative AI is a rapidly evolving field with the potential to revolutionize the marketing landscape. By providing insights into customer behavior, accelerating creative workflows and enabling media optimization, generative AI can help marketing leaders reach new audiences, save time and money, and improve campaign effectiveness.

We’ll share Google Cloud’s perspective on how marketing leaders can make the most of this moment – driving real business outcomes today, while also ensuring your organization is set up for success tomorrow.

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Discover how Vertex AI Search leverages generative AI including Google Cloud's latest Gemini models to power high quality search experiences grounded in your data. We’ll share how you can increase customer and employee satisfaction with personalized search and recommendations experiences. Learn how Vertex AI Search can help you ground gen AI apps in your data functioning as an information retrieval and answer generation system. Discover the latest product enhancements and discover how customers are transforming search capabilities in the enterprise.

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SAP, Grow, and RISE users, transform your business: Leverage Google Cloud's BigQuery, Cortex Framework, Vertex AI and generative AI to unlock data's potential. See how Pluto7 integrates for a smarter supply chain for better customer experience with better demand-sensing, forecasting, planning inventory, reducing defects and more. Turn your SAP and non-SAP data into action, simplify processes and drive efficiency with gen AI and Gemini. Join us to elevate your business with real-time insights and strategic decision-making.

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With the surge of new generative AI capabilities, companies and their customers can now interact with systems and data in new ways. To activate AI organizations require a data foundation with the scale and efficiency to bring business data together with AI models and ground them in customer reality. Join this session to learn the latest innovations for data analytics and BI, and why tens of thousands of organizations are fueling their journey with BigQuery and Looker.

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NVIDIA AI on Google Cloud provides all the essential tools, frameworks, and models needed to develop and deploy custom models and generative AI applications. This Cloud Talk will share the latest NVIDIA technologies available on Google Cloud to rapidly enable enterprises to take their LLMs and generative AI applications from pilot into production. 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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Creating captivating generative AI analytics demos is easy. But building a product that consistently delivers value and handles real-life data complexity is challenging. In fact, only 3%-10% of companies effectively utilize LLMs for production. Learn how Cox 2M, the commercial IoT division of Cox Communications has become able to make smarter, faster business decisions using one of the few production-ready implementations of generative AI. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Research indicates that organizations that absorb generative AI fastest will see disproportionate business success. Accelerate and equip your organization to leverage generative AI by understanding a practical and pragmatic framework to build organizational muscle to drive business value. This workshop covers business use cases accelerated by Google Cloud solutions, showcases training opportunities across functional roles, and will include real time brainstorming and identification of actions.

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Creating a business case to modernize applications has historically been a challenge. However, legacy systems need to be modernized to capture the full benefits of the cloud. McKinsey's LegacyX approach focuses on using generative AI to modernize applications faster and more efficiently. Learn how McKinsey is using genAI to streamline app modernization by automating discovery and documentation of functionality, creating target-state code, and performing unit and functional testing.

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A large American insurance company partnered with Cognizant to use Google's Generative AI to streamline claims processing. The MVP, built in 7 weeks, showed how AI agents could identify missing information in claims with 95% accuracy and classify questions with 75% accuracy. This experiment demonstrated tremendous potential increase in efficiency, accuracy, and cost savings in key stages of claims operation. 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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Cost efficiency continues to drive IT decision-making, while businesses are simultaneously compelled to innovate using transformational technologies such as generative AI and CPU-based inferencing. In this session, you’ll learn how customers use the latest Google Cloud products powered by fourth-gen AMD EPYC™ processors to lower cloud operating costs, streamline FinOps, and make room in the budget for new applications.

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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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