En un mundo donde la única constante es el cambio, los gobiernos y actores locales necesitan estar equipados para responder de forma transparente, ágil y eficiente a las demandas de la ciudadanía.
A pesar de la urgencia, la entrada de la justicia digital en Latinoamérica es más lenta que en otras áreas del sector público. Esto se debe a la complejidad del sector, la resistencia al cambio y especialmente, a la interacción de las distintas entidades implicadas –fiscalías, juzgados, entre otros.
La transformación digital del sistema judicial debe ser entendida con un enfoque holístico, sistémico e integral que sobrepasa el componente tecnológico.
Descrição do evento:
DigiJustice Latinoamérica contará con la participación de líderes en el campo de la justicia de la región, quienes compartirán su perspectiva para un futuro tecnológico exitoso de los sistemas judiciales en América Latina.
Adicionalmente, contaremos con la presentación de varios Casos de Estudio que detallarán la manera en que organizaciones han utilizado la nube de AWS para solucionar problemas y ofrecer una mejor experiencia para el ciudadano.
Esta experiencia educativa gratuita explora cómo el sistema judicial puede beneficiarse de la tecnología para aumentar la transparencia y la eficiencia de sus procesos.
Quem deve participar:
AWS DigiJustice LATAM está pensado para directores de todos los niveles, ejecutivos de la tecnología, innovación y nuevos negocios de empresas y organizaciones del sector de la justicia y en Latinoamérica.
Palestrantes:
Agenda:
Este curso será impartido por expertos de AWS e invitados de instituciones de justicia alrrededor de la región, con el objetivo de ayudar e inspirar a tomadores de decisions del sector judicial a transformar sus organizaciones y convertirse en líderes digitales.
Haz clic aquí para decargar la agenda del evento.*Agenda sujeta a cambios.
Session Details
- Track1 Session 1
- Track2 Session 1
- Track3 Session 1
- Track4 Session 1
- Track5 Session 1
- Track6 Session 1
- Track7 Session 1
- Track8 Session 1
- Track9 Session 1
- Track10 Session 1
Track1 Session 1
Migrate your Oracle and SQL Server databases to
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.
Track2 Session 1
Migrate your Oracle and SQL Server databases to
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.
Track3 Session 1
Tab 3 content
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Track4 Session 1
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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.
Multiple City Registration
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Session Proficiency Levels Explained
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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
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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
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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
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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
¿Qué aprenderá durante el evento?
DigiJustice Latinoamérica contará con la participación de líderes en el campo de la justicia de la región, quienes compartirán su perspectiva para un futuro tecnológico exitoso de los sistemas judiciales en América Latina.
Adicionalmente, contaremos con la presentación de varios Casos de Estudio que detallarán la manera en que organizaciones han utilizado la nube de AWS para solucionar problemas y ofrecer una mejor experiencia para el ciudadano.
Esta experiencia educativa gratuita explora cómo el sistema judicial puede beneficiarse de la tecnología para aumentar la transparencia y la eficiencia de sus procesos.
¿Quién debería asistir?
AWS DigiJustice LATAM está pensado para directores de todos los niveles, ejecutivos de la tecnología, innovación y nuevos negocios de empresas y organizaciones del sector de la justicia y en Latinoamérica.
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Oradores:
Este curso será impartido por expertos de AWS e invitados de instituciones de la salud para ayudar a tomadores de decisions del sector salud a transformar sus organizaciones y convertirse en líderes digitales.
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João Marcelo Uchôa de Alencar
Professor Adjunto da Universidade Federal do Ceará | UFC
Concluiu o Bacharelado em Ciências da Computação pela Universidade Estadual do Ceará (UECE) em 2007. Possui o título de mestre pelo programa de pós-graduação do Departamento de Computação na Universidade Federal do Ceará (UFC), obtido em 2010, e doutorado pelo mesmo programa obtido em 2017. Atualmente, é professor adjunto da Universidade Federal do Ceará, Campus Quixadá. Tem experiência na área de sistemas distribuídos com ênfase em computação de alto desempenho, computação em nuvem, grades computacionais, redes peer-to-peer, e serviços web.
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RubeM Paulo Torri Saldanha
Gerente de Desenvolvimento de Negócios | AWS
Formado em Ciências da Computação pela Universidade Federal de Mato Grosso (UFMT) e com mestrado em Educação e Currículo pela Pontificia Universidade Católica de São Paulo (PUC-SP), Rubem trabalha na área de educação e tecnologia a mais de 20 anos, tendo passado por diferentes instituições como Microsoft, Intel e Fundação Telefonica. Atualmente, trabalha como Gerente de Desenvolvimento de Negócios para Setor Público na AWS, onde ajuda governos a desenvolverem a sua jornada de transformação digital.
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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.
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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.
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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
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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.
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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.
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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
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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.
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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.
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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
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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
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’ 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’ 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’ 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.
FAQS
- Where is AWS Innovate hosted?
- What is the price of attending AWS Innovate?
- Who should attend AWS Innovate?
- 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.