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Entre en contacto con LeanApp:

Detalles del Evento

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Evento virtual de lanzamiento
Miércoles 04 de agosto de 2021
9:00am PE | 10:00am CO | 11:00am ARG

Las empresas están adoptando rápidamente servicios en la nube para ganar agilidad, reducir gastos e innovar. Sin embargo, algunas cargas de trabajo deben permanecer en instalaciones locales debido a las necesidades de baja latencia, procesamiento de datos locales, y requerimientos de residencia de datos. Así como soportar una estrategia de migración de bajo riesgo, o desplegar una arquitectura híbrida de nube de manera consistente.

¿Qué es AWS Outposts?


AWS Outposts es un servicio totalmente administrado que ofrece la misma infraestructura de hardware que los servicios de AWS, APIs, panel único y integrado, así como herramientas para construir y ejecutar aplicaciones en las instalaciones locales y en la nube. Logrando de esta forma, una experiencia híbrida verdaderamente consistente para desarrolladores y personal de TI. Ideal para cargas de trabajo que requieren acceso de baja latencia a sistemas, procesamiento de datos y almacenamiento de datos locales.

¡AWS Outposts ahora disponible en Chile, Argentina y Perú! Súmese a nuestro evento de lanzamiento para conocer los detalles del servicio.






Event Agenda

Última validación técnica de AWS:
Nivel AWS Partner Network (APN)
Cobertura:

Detalles de la solución

  • Una solución de LeanApp
  • Caso de Uso
  • En la voz del cliente
  • En la voz del cliente
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Una solución de LeanApp

Una solución de LeanApp

MonitorApp® podemos calcular de forma automática más de 20 KPI’s y visualizar 60 variables de desempeño para el piso de producción. Actualmente contamos con herramientas web, interactivas y colaborativas para apoyar la transformación digital de las empresas e incrementar su eficiencia operativa.
MonitorApp garantiza que sus clientes pueden digitalizar el indicador más importante de la manufactura; el OEE en menos de una semana y con el costo más accesible del mercado nacional e internacional.

Caso de Uso

En la voz del cliente

   

"Nuestras plantas automotrices necesitaban avanzar hacia la Industria 4.0 y el monitoreo en tiempo real, pero tenían recursos limitados para la implementación de un sistema complejo. Con una solución innovadora y pragmática, Monitor App nos ofrece 80% de los beneficios de una solución tradicional por 20% de la inversión. Después de una prueba piloto exitosa en México, decidimos replicar Monitor en nuestras instalaciones europeas. La sencillez de su interfaz y el uso de la plataforma permite una implementación fluida en cuestión de minutos, con retorno de la inversión inmediato gracias a su modelo SaaS"

 

Sylvain Lassalle, Director Unidad de Negocios, Walor Beyond Technics

.

En la voz del cliente

Caso de Uso

Pya Automotive es una empresa de origen mexicano con operación internacional proveedora de las principales armadoras automotrices. Debido a su enfoque al cliente y su cultura de mejora continua, buscaron proveedores para su transformación digital.
Encontraron la plataforma todo en uno MonitorApp, una herramienta de extracción, procesamiento y despliegue de datos de piso. Gracias a que es un producto “plug & play”, la implementación en 20 máquinas se completó en una semana sin necesidad de parar líneas o trabajar tiempos extras.
Hoy, el plant manager lidera la implementación de varias actividades que generan una mejora de 19.9% en el tiempo productivo de la planta y 7.87% en el OEE (Overall Equipment Effectiveness). Lo que se traduce en ahorros de miles de dólares.
.

En la voz del cliente

Track5 Session 1

Tab 5 content

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Track6 Session 1

Tab 6 content

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Track7 Session 1

Tab 7 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track8 Session 1

Tab 8 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track9 Session 1

Tab 9 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track10 Session 1

Tab 10 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

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Venue

The Meteropolitian
233 south wacker drive, 67th floor, Chicago, Illinois 60606

Session Proficiency Levels Explained

  • Level 100

    Introductory

    Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

  • Level 200

    Intermediate

    Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics

  • Level 300

    Advanced

    Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution

  • Level 400

    Expert

    Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations

Video Demo


Información Técnica

Última validación técnica de AWS:

16-04-21 Validated by Deshpande Stuti

Nivel AWS Partner Network (APN):

ISV Technology Path

Cobertura:

América, Europa y Asia


¿Por qué MonitorApp?

MonitorApp es una aplicación no “misión crítica”, ya que no nos conectamos a actividades críticas de nuestro cliente, ni tenemos acceso a ninguna cuenta o datos confidenciales de ningún tipo. Tampoco nos conectamos al PLC de las máquinas que monitoreamos. Todos nuestros productos han sido diseñados para una integración no invasiva. Trabajamos bajo Industrial Internet of Things para cuidar la salud del piso productivo de nuestros clientes. Somos la plataforma más fácil de usar, implementar e integrar del mercado.

  • Ayuda a las empresas de manufactura a aumentar la productividad de máquinas u operaciones. Concilia y valida una gran cantidad de datos operativos de piso.
  • Utiliza sensores inteligentes a través de métodos no invasivos que no ponen en riesgo tus equipos y sus garantías.
  • Se puede conectar con el 95% de las máquinas de la industria, sin importar marca, modelo o sistema operativo.
  • Calcula de forma automática, más de 20 indicadores clave en la industria automotriz, como por ejemplo el OEE.






Featured Speakers

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

Customer Highlights

Epic Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Epics Games

Yelp Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Yelp

Airbnb Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Airbnb

Lyft Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Lyft

FAQS

  1. Where is AWS Innovate hosted?
  2. What is the price of attending AWS Innovate?
  3. Who should attend AWS Innovate?
  4. How do I get the certificate of attendance?
Q: Where is this event?

A: This event is an online event, hosted by AWS on the INXPO platform.

Q: Who should attend this event?

A: Developers building data-driven apps; DBAs and data engineers who are building analytics infrastructure and data pipelines; Analysts and data scientists who are deriving insights that answer complex business quesions and building/trainining machine learning models.

Q: How much does this event cost?

A: There is no cost to attend this event.

Q: What are the prerequisites before attending the event?

A: There are no prerequisites for attending the event. We encourage attendees to browse the Database and Analytics pages on the AWS website to get a brief overview of the services available to them.