Speaker

Yoga Fatwanto

Yoga Fatwanto

Generative AI, Gemini, Vertex AI, Google Cloud Partner, Data Engineer

Jakarta, Indonesia

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A fresh graduate at the beginning of the year, he secured a job before his graduation at Google Cloud partner, Cloud Ace, as a Data Engineer and Gen AI Engineer. In this role, he developed AI solutions, orchestrated data flows and ETL pipelines, managed scalable cloud setups, and implemented data integration strategies. He also collaborated with cross-functional teams to streamline data processing and analytics workflows.

He has teaching experience at three different places and has conducted several workshops for senior professionals, including C-level executives and directors. He fosters a positive work environment, motivates his team, and believes in the importance of a positive atmosphere for creativity and productivity.

Additionally, he has presented findings to supervisors, divisions, and directors, facilitating collaboration and advancing business objectives. He effectively communicates projects to clients, helping convey the value of the company's work.

Moreover, he occasionally conducted webinars, workshops, and training sessions on cloud, data, and AI, empowering participants with practical skills and knowledge. Some of these include being invited as a guest lecturer at a prestigious university in Jakarta and speaking at various GDSC events.

Area of Expertise

  • Information & Communications Technology

Topics

  • Machine Learning and Artificial Intelligence
  • Cloud Computig
  • Data Engineering

Choosing the Best Methods for Your Gemini GenAI App

Gemini offers a uniquely flexible environment for building Generative AI apps. While many developers recognize the potential of Generative AI, they often struggle to choose the best methods for their specific use case. Gemini provides a comprehensive suite of tools that can handle various workflows, especially within the GCP environment from building GenAI apps in BigQuery, PostgreSQL, or AlloyDB, to enabling seamless API integrations within a single environment. This makes it easier to create scalable, robust GenAI solutions without the complexity of moving between multiple platforms.

Although Retrieval-Augmented Generation (RAG) is currently popular for building GenAI apps, it’s not always necessary. Some use cases may simply require document analysis, chat-based applications, summarization, or basic generation tasks. However, challenges can arise when the input context is too large or repetitive, which can significantly increase costs. It’s important to explore how to optimize these processes to avoid unnecessary expenses, especially in scenarios where RAG might not be the ideal solution.

As we know, the basic process of building an RAG typically involves steps like data parsing, chunking, embedding, indexing, and searching. However, Gemini in GCP offers more flexibility for different use cases. For example, what if you want your LLM to search directly via APIs? What if your product data resides in BigQuery, PostgreSQL, or AlloyDB, can you build RAG solutions without needing to migrate data or undergo complex development? How can data analysts, familiar with SQL, build an efficient RAG solution directly in BigQuery? Moreover, if your data changes, do you have to redevelop everything from scratch?

Additionally, there are cases where specific outputs, such as nested JSON responses, or triggering real-world actions like placing orders, are required. With GCP and Gemini, you can seamlessly handle these complexities within a single environment, offering multiple approaches to solve various challenges.

Gen AI Innovator: Creating Cutting-Edge AI Assistants with Vertex AI Agent Builder and Gemini

In this exciting session, we will uncover the inspiring journey of a fresh graduate who has successfully transitioned into a proficient Gen AI engineer, using the cutting-edge tools of Vertex AI Agent Builder and Gemini AI. By delving into several innovative projects, we will showcase how this young talent has developed AI-powered chatbots, contact centers, customer service systems, and search engines, driving significant advancements in Indonesia's generative AI landscape.

Participants will gain a comprehensive understanding of how these projects harness advanced AI technologies to enhance user interactions, streamline customer support processes, and improve search functionalities. This session will demonstrate practical applications that lead to increased operational efficiency, superior customer satisfaction, and overall business growth.

The key highlight of this presentation is to emphasize that even fresh graduates can make substantial contributions to the field of AI. By sharing real-world examples and success stories, we aim to motivate students and recent graduates to believe in their capabilities and pursue innovative projects with confidence. This session is designed to inspire business leaders, IT professionals, and aspiring AI engineers by showcasing the transformative power of AI and the immense opportunities it presents.

Join us to discover how these innovative AI solutions are not only enhancing business operations but also shaping the future of customer service and search in Indonesia. Learn about the tangible benefits of adopting these advanced technologies and see how fresh graduates can drive technological progress and innovation. This session will empower you with the knowledge and confidence to leverage AI in your own endeavors, proving that with the right tools and determination, anyone can make a remarkable impact in the field of generative AI.

Next-Gen AI Assistants Leveraging Vertex AI Agent Builder and Gemini AI: A Fresh Graduate's Journey

In this exciting session, we will uncover the inspiring journey of fresh graduate who have successfully transitioned into proficient Gen AI engineers, using the cutting-edge tools of Vertex AI Agent Builder and Gemini AI. By delving into several innovative projects, we will showcase how these young talents have developed AI-powered chatbots, contact centers, customer service systems, and search engines, driving significant advancements in Indonesia's generative AI landscape.

Participants will gain a comprehensive understanding of how these projects harness advanced AI technologies to enhance user interactions, streamline customer support processes, and improve search functionalities. This session will demonstrate practical applications that lead to increased operational efficiency, superior customer satisfaction, and overall business growth.

The key highlight of this presentation is to emphasize that even fresh graduates can make substantial contributions to the field of AI. By sharing real-world examples and success stories, we aim to motivate students and recent graduates to believe in their capabilities and pursue innovative projects with confidence. This session is designed to inspire business leaders, IT professionals, and aspiring AI engineers by showcasing the transformative power of AI and the immense opportunities it presents.

Join us to discover how these innovative AI solutions are not only enhancing business operations but also shaping the future of customer service and search in Indonesia. Learn about the tangible benefits of adopting these advanced technologies and see how fresh graduates can drive technological progress and innovation. This session will empower you with the knowledge and confidence to leverage AI in your own endeavors, proving that with the right tools and determination, anyone can make a remarkable impact in the field of generative AI.

Google I/O Extended Jakarta 2024 Sessionize Event

June 2024 Jakarta, Indonesia

Yoga Fatwanto

Generative AI, Gemini, Vertex AI, Google Cloud Partner, Data Engineer

Jakarta, Indonesia

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