Join Telkomsel as we unveil how telco data insights are revolutionising decision-making across multiple industries in Indonesia. In this session, we’ll explore real-world applications of telco data—ranging from risk management and customer behaviour analysis to competitive intelligence and digital transformation projects. Discover how businesses across banking, FMCG, fintech, e-commerce, and others, can harness the power of data-driven strategies to stay ahead of the curve, enhance operational efficiency, and unlock new growth opportunities in today’s rapidly evolving digital landscape.

Apache Iceberg provides an open storage standard that can democratize your data stored in disparate data lakes by providing freedom and interoperability to use various data processing engines. Join this session to hear all of the latest Snowflake platform enhancements for Iceberg Tables, along with what’s new in Polaris Catalog that offers flexibility and interoperability.

Join us and explore how two major mega trends – AI and ESG – are transforming the financial services.

Discover how Snowflake’s AI Data Cloud, with its unparalleled FSI eco-system, enables data interoperability and innovation, empowering firms to deliver sustainable financial products and cutting-edge AI-driven solution.

Join this session to hear the latest on Snowflake’s current capabilities for generative AI, and learn how they can empower your applications. We’ll provide an overview of how Snowflake’s generative AI features, including Snowflake Cortex and Copilot, empower customers to build cutting-edge LLM applications with ease.  Hear our perspective, current capabilities, roadmap and vision for AI.

In an age of AI hype and information overload, focusing on data products that deliver immediate value is crucial. In this session, we will share how Otoklix’s product engineering team applies the „just enough“ guiding principle in our approach. We’ll walk you through the processes we use to create and experiment with data products, highlighting how we establish a solid data foundation first, then apply minimal yet effective effort to validate the use case. By the end, we’ll share key takeaways from our experiments before moving to production.

In this session we present the synergy of Snowflake, Amazon Bedrock, and Amazon SageMaker Canvas for building GenAI data apps. Using Snowflake’s data prowess, Bedrock’s scalability, and SageMaker Canvas’s ML will help add your own business context quickly, easily, privately – with the broadest choice of customization options.

Presented by iZeno and Dataiku

Whether you’re a small family business seeking a reliable data warehousing solution or a market giant leveraging data and AI for billions in potential upside, using Snowflake as the backbone of your enterprise data strategy makes perfect sense.

However, many businesses struggle to fully utilize Snowflake because their employees lack SQL proficiency. Even high-performing data engineering teams can find it challenging to develop pipelines quickly using homegrown tools alongside Snowflake.

Dataiku’s user interface and workbench brings together data professionals and subject matter experts to build production-grade analytics and AI applications.

Learn how they work together during this hands-on labs.

When the leader in analytics develops cutting-edge AI, you can finally Talk to Your Data – Snowflake’s easy and intuitive way to get answers from your business data, using everyday language. Find out how Snowflake liberates business leaders to quickly find answers to critical questions they would have previously had to hunt for in a complicated dashboard or rely on a business analyst for. All powered by the latest developments in Cortex AI – Cortex Analyst and Cortex Search – and with the security and governance you need.

In today’s manufacturing landscape, data and AI are driving innovation and efficiency. From streamlining supply chains to fueling the transition toward smarter and more sustainable manufacturing, a robust data and analytics platform is essential for success.

In this session we’ll explore how Snowflake and key industry leaders empower global manufacturers across sectors by providing the necessary capabilities to leverage data and AI to their fullest potential. Discover first hand how Snowflake helps companies create actionable insights and drive transformative change throughout the business.

Data privacy continues to be a paramount consideration for organizations looking to gain more value from their data as data privacy regulations evolve and now exist in over 70% of countries globally, according to the UNCTAD. Data owners are often making a challenging trade-off between not leveraging their sensitive data versus being able to collaborate and generate revenue from that data. Join this session to learn how the latest Snowflake Horizon product innovations in data privacy enable you to unlock more revenue and deeper partnerships with your sensitive, regulated and proprietary data, while protecting it with privacy-enhanced collaboration across multiple parties.

Data clean rooms have evolved from a third-party cookie replacement for media to an advanced, multi-party compute and collaboration system that safely unlocks sensitive and proprietary data across industries in ways never before possible. In this session, we will explore capabilities of Snowflake Global Data Clean Rooms, including how developers can customize code analysis templates for various use cases, integrate with custom data clean room implementations and partners across the ecosystem, and securely integrate and enable AI models into the data clean room.

In this hands-on lab, you will be help the fictitious food truck company, Tasty Bytes, to identify where their customer experience may be falling short at the truck and business level by leveraging Snowflake Cortex within Snowflake Notebook. They collect customer reviews to get customer feedback on their food-trucks which come in from multiple sources and span multiple languages. This enables them to better understand the areas which require improvement and drive up customer loyalty along with satisfaction.

Prerequisites:
– Familiarity with Python
– Familiarity with the DataFrame API
– Familiarity with Snowflake
– Familiarity with Snowpark

What You’ll Build:
You will analyze Tasty Bytes‘ customer reviews using Snowflake Cortex within Snowflake notebook to understand the following.
– How likely their customers are to recommend Tasty Bytes food trucks to someone they know
– How good their overall experience was
– How is the customer sentiment across customer base
– What customers are feel saying about different aspects like food, price etc
– What are the main issues and how to remedy them

You will learn:
– How to translate multilingual customer reviews
– How to categorise unstructured review text data at scale
– How to get rating from reviews
– How to get intent to recommend from reviews
– How to derive customer sentiment from reviews
– How to derive aspect based
customer sentiment from reviews
– How to identify issues
highlighted in customer reviews
– How to take action assisted by LLM