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Snowflake Forum Madrid

Agenda

 

 

 

 

 

 

AGENDA

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Agenda is subject to change

9:00 h - 9:45 h
Registro y Partner Expo
9:45 h - 10:45 h
Business & Product Demo

Únete a esta keynote para descubrir cómo Snowflake está marcando el camino para la Era de la IA Empresarial. Escucha a los líderes de Snowflake hablar de las últimas innovaciones y obtén información de clientes sobre su viaje con AI Data Cloud.

Speakers:

  • Mauro Bonfanti, EMEA Regional VP, Snowflake.
  • José María Alonso Elizo, Regional Director Spain, Snowflake.
  • Miguel Angel Rivera Alonso, Director Sales Engineering, Snowflake.
  • Henrik Nielsen, Principal Sales Engineer, Snowflake.

 

10:45 h - 11:15 h
Caso Cliente - SDG

Boehringer Ingelheim: Leveraging Data Strategy with Snowflake AI

Boehringer Ingelheim, pionera en soluciones innovadoras, adopta la plataforma de datos escalable de Snowflake para mejorar la gestión de datos e impulsar el crecimiento empresarial. Descubre cómo Boehringer Ingelheim mejora la toma de decisiones y la colaboración, impulsando la innovación y la excelencia operativa en toda la organización.

Speakers:
  • Albert Borras: Global Data Modelling Services Coordinator
  • Marcos Buria: Global Data Enablement Services Team Lead
  • Robert Rodriguez: Executive Manager

11:15 h - 11:45 h
Coffee Break
11:45 h - 12:15 h
Caso Cliente - MICROSOFT

David Porta Alonso (Director Data and Artificial Intelligence | Veolia España – AGBAR – Synectic

David explicará cómo, a través de tecnología avanzada y una plataforma tecnológica moderna y escalable (incluyendo Snowflake en Azure), han construido un Modelo de Datos Empresarial para el sector del agua. El equipo orientado al negocio de Veolia utiliza procesos de priorización de valor y un modelo operativo enfocado en el usuario final que facilita la entrega de valor de manera iterativa e incremental.

12:15 h - 12:45 h
Caso Cliente - AWS

How Bigdata.com is revolutionising investment management with Snowflake on AWS

Kevin Crosbie will explain how Bigdata.com allows knowledge workers to use Generative AI in their day-to-day workflows, enabling real-time insights and direct strategic advantage. Central to this is the use of Knowledge Graphs and Data Agents which use Snowflake on AWS and allow structured and unstructured data to be translated into meaningful and relevant information.These insights are then used to make better informed, data-driven decisions.

12:45 h - 13:15 h
WID Panel - Teléfonica Tech Moderador

Participantes confirmadas en el panel Women in Data:


  • Rita Barata Silva, Group IT Director Data & Analytics, MAPFRE


  • Cristina Cid Gil, Subdirectora de Transformación Tecnológica, CORREOS
    CORREOS Logo

  • Elena Gil Lizasoain, Artificial Intelligence & Data | Business Unit Director, TELEFONICA TECH
    TELEFONICA TECH Logo

Moderadora:


  • Raquel Ruiz Lozano, Global Head of Strategic Partnerships & HISPAM Product, TELEFONICA TECH
13:15 h - 14:45 h
Comida y Networking

Disfruta de un almuerzo gratuito y explora el Partner Hall donde los partners de Snowflake estarán exhibiendo y presentando los últimos avances.

1:15 PM - 2:45 PM
Comida y Networking

Disfruta de un almuerzo gratuito y explora el Partner Hall donde los partners de Snowflake estarán exhibiendo y presentando los últimos avances.

Breakout Track 1
AI TRACK

14:45 h - 15:15 h

Overview of AI/ML at Snowflake
セッション記述子

15:15 h - 15:30 h

Change Sessions

15:30 h - 16:00 h

Novedades: Snowflake ML - End to End
セッション記述子

16:00 h - 16:15 h

Change Sessions

16:15 h - 16:45 h

Building Next-Generation GenAI Apps
セッション記述子

14:45 h - 15:15 h

Overview of AI/ML at Snowflake

Únete a esta sesión para conocer las capacidades actuales de Snowflake para la IA generativa y predictiva y descubre cómo pueden impulsar tus aplicaciones. Explicaremos cómo las funciones de IA generativa de Snowflake, incluidas Snowflake Cortex y Copilot, capacitan a los clientes para crear aplicaciones innovadoras de LLM fácilmente. Además, hablaremos de cómo las funcionalidades de IA predictiva de Snowflake, como Snowpark ML y Snowflake Feature Store, se pueden usar con facilidad para crear flujos de trabajo de ML escalables e integrales. Descubrirás nuestro punto de vista, las capacidades actuales y la hoja de ruta de Snowflake, así como nuestra visión para la IA y el ML.

  • Eric Hannell

    Principal Sales Engineer, Snowflake.

  • María José

    Senior Sales Engineer, Snowflake.

15:30 h - 16:00 h

Novedades: Snowflake ML - End to End

Snowflake ML ayuda a científicos de datos e ingenieros de ML a desarrollar e implementar modelos integrales de ML junto a sus datos gobernados con más rapidez y facilidad. Únete a esta sesión en la que expertos de Snowflake explicarán las últimas actualizaciones para flujos de trabajo de ML, como Notebooks, Model Registry, Feature Store y Snowpark ML.

  • Rafael Caballero

    Rafael Caballero

    Senior Sales Engineer, Snowflake.

  • Carlos Carrero

    Global Principal Architect - AI/ML - Partners, Snowflake.

16:15 h - 16:45 h

Building Next-Generation GenAI Apps

En esta sesión nos centraremos en usar diferentes servicios de IA de Snowflake para implementar modelos de LLM en Snowflake de forma segura y sencilla. Las demos mostrarán los retos que plantea gestionar una gran cantidad de información de los clientes de manera simple y escalable.

  • Carlos Carrero

    Global Principal Architect - AI/ML - Partners, Snowflake.

  • Daniel Sánchez

    Senior Sales Engineer, Snowflake.

Breakout Track 2
PLATFORM TRACK

14:45 h - 15:15 h

Building Open Lakehouses with Microsoft Fabric and Snowflake
セッション記述子

15:15 h - 15:30 h

Change Sessions

15:30 h - 16:00 h

Novedades: Python Data Pipelines
セッション記述子

16:00 h - 16:15 h

Change Sessions

16:15 h - 16:45 h

How to Build Enterprise-Grade Snowflake Native Apps
セッション記述子

14:45 h - 15:15 h

Building Open Lakehouses with Microsoft Fabric and Snowflake

Apache Iceberg proporciona un estándar de almacenamiento abierto que puede democratizar los datos que tengas almacenados en diferentes data lakes ofreciendo libertad e interoperabilidad para utilizar distintos motores de procesamiento de datos. Únete a esta sesión para conocer todas las mejoras que hemos aplicado a nuestra plataforma para Iceberg Tables, junto con mejoras de incorporación y nuevas integraciones, y para saber cómo Microsoft y Snowflake son mejores juntos.

  • Daniel Sánchez

    Senior Sales Engineer, Snowflake.

  • Isabel Delgado

    Senior Technical Specialist Azure Data & AI, Microsoft.

15:30 h - 16:00 h

Novedades: Python Data Pipelines

¿Quieres experimentar Python con Snowflake? Únete a esta sesión en la que anunciaremos algunas de las novedades que te capacitarán para crear flujos de datos en Python. Explicaremos cómo puedes transformar los datos en Python con Snowpark, ahora con algunas de las bibliotecas de Python más populares, una API de Python, una experiencia con cuadernos nativa y las últimas capacidades para operacionalizar tus flujos.

  • Pablo Saenz de Tejada

    Senior Partner Sales Engineer, Snowflake.

  • David Tinoco

    Senior Sales Engineer, Snowflake.

16:15 h - 16:45 h

How to Build Enterprise-Grade Snowflake Native Apps

Crear aplicaciones de clase empresarial puede ser bastante complejo. Acompáñanos en esta sesión para conocer las prácticas recomendadas y las últimas capacidades que Snowflake Native App Framework proporciona para impulsar el desarrollo de aplicaciones. Descubre el modelo de seguridad y las diferentes funciones de Snowflake Native App Framework que permiten crear aplicaciones seguras, como el SDK de permisos de Streamlit. Explora las diversas opciones de extensibilidad disponibles para Snowflake Native Apps con Snowpark Container Services, Streamlit en Snowsight y otros SDK.

  • Rafael Caballero

    Rafael Caballero

    Senior Sales Engineer, Snowflake.

  • David Tinoco

    Senior Sales Engineer, Snowflake.

Safe Harbor and Disclaimers

Other than statements of historical fact, all information contained in these materials and any accompanying oral commentary (collectively, the “Materials”), including statements regarding (i) Snowflake’s business strategy, plans or priorities, (ii) Snowflake’s new or enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, (iv) our vision for Snowpark, the Data Cloud, and industry-specific Data Clouds, including the expected benefits and network effects of the Data Cloud; and (v) the integration, interoperability, and availability of Snowflake’s products, services, or technology offerings with or on third-party platforms or products, are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Annual Reports on Form 10-K and the Quarterly Reports on Form 10-Q that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, the future events and trends discussed in the Materials may not occur, and actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forwarding-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are first made and are based on information available to us at the time those statements are made and/or management’s good faith belief as of that time. Except as required by law, we undertake no obligation, and do not intend, to update the forward-looking statements in these Materials.

Any future product or roadmap information (collectively, the “Roadmap”) is intended to outline general product direction. The Roadmap is not a commitment, promise, or legal obligation for Snowflake to deliver any future products, features, or functionality; and is not intended to be, and shall not be deemed to be, incorporated into any contract. The actual timing of any product, feature, or functionality that is ultimately made available may be different from what is presented in the Roadmap. The Roadmap information should not be used when making a purchasing decision. In case of conflict between the information contained in the Materials and official Snowflake documentation, official Snowflake documentation should take precedence over these Materials. Further, note that Snowflake has made no determination as to whether separate fees will be charged for any future products, features, and/or functionality which may ultimately be made available. Snowflake may, in its own discretion, choose to charge separate fees for the delivery of any future products, features, and/or functionality which are ultimately made available.

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