Américo de Paula - eCommerce Day Ecuador Online [Live] Experience
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Américo de Paula - eCommerce Day Ecuador Online [Live] Experience
- 1. © 2020, Amazon Web Services, Inc. or its Affiliates. AC/DC Amazon Web Services Américo De Paula Head of Solutions Architecture – LATAM Multi-Country Organization
- 2. © 2020, Amazon Web Services, Inc. or its Affiliates. Aprendizajes AC/DC • Aceleración de la Transformación Digital • Supuestos históricos descartados 🡪 WFH • Cloud: Moverse de la experimentación a obtener resultados de negocio • Escalabilidad técnica del e-commerce ya no es un tema
- 3. © 2020, Amazon Web Services, Inc. or its Affiliates. Desafios DC • Mayores expectativas de los clientes en un mundo hyperconectado • Digital Customer Engagement, como mejorar aspecto transaccional de la mayoria de los e-commerce actuales • El rol futuro de la tienda • Vulnerabilidad del Supply Chain y la promesa a los clientes
- 4. © 2020, Amazon Web Services, Inc. or its Affiliates. Desafios durante la Pandemia • Muchas compañías tuvieron que adaptarse muy rápido a cambios bruscos en la demanda • Zoom: Aumentó 30X videoconferencias • Instacart: Creció 500% sus órdenes • AWS está colaborando con agencias de salud, gobiernos y centros de investigacion
- 5. Agilidad es más importante que nunca antes
- 6. © 2020, Amazon Web Services, Inc. or its Affiliates. El 3er minorista más grande en Latinoamerica. Cencosud maneja su cadena de valor con un modelo de negocio basedo en 4 pilares: desarrollo ambiental, gestion de cambios climaticos, desarrollo de empleados, y ofertas sostenibles. “Adoptamos la solución Amazon Personalize para generar una experiencia de compra aún más personalizada para los compradores online. Factores clave fueron la escalabilidad y el alcance del servicio, así como la opción de probarlo sin tener que desarrollar un gran proyecto para esto.” En los primeros 2 meses, Jumbo logró un incremento de 136% en click-through rate (CTR), 257% de incremento en ingresos, y 98% en el valor promedio por ticket. También logramos incremento de 105% en conversión de compras, comparado con el abordaje prévio, que no usaba Machine Learning.” Javiera Valenzuela Rivera CRO Corporate Lead, Cencosud
- 7. © 2020, Amazon Web Services, Inc. or its Affiliates. f(I) = (mechanisms * architecture) (culture * organization) ^ Amazon: Ecuación de la innovación
- 8. © 2020, Amazon Web Services, Inc. or its Affiliates. Gracias! Américo De Paula Head of Solutions Architecture – LATAM Multi-Country Organization
Editor's Notes
- Tranformacion digital paso de ser un concepto a una necesidad de adaptacion y supervicencia de los negocios. La mayoria de los negocio esta preocupado de los aspectos culturales y organizacionales que implica la transformacion Latam aun esta al inicio del viaje al cloud, por lo tanto aun es posible subirse y liderar la transformacion Los CEO ahora demandan resultados tangibles de la nube y esto significa poder utilizar cada vez más rapido los componentes en la nube y obetener resultados de negocio Lo único constante es el cambio, incluso dentro de la pandemia nuestras vidas y forma de trabajar cambia continuamente, adaptandonos al cambio
- Digital customer: como verdaderamente enlazarse con los clientes: contenido correcto, tiempo correcto, canal correcto. Pasar de la experiencia transaccional (venta) a una experiencia de servicio completa (antes de la compra, durante y despues) AWS esta trabajando con retailers y CPG para mejorar este proceso de engagement con herramientas que usan AIML para mejorar el engagement digital En supply chain las compañías están muy enfocadas en mejorar sus capacidades de Forecast y Replishment, las grandes variaciones de demanda hacen que los mecanismos tradicionales no puedan ajustarse a estas variaciones Central a estas estrategias son los datos. Las organizaciones deben avanzar en formar los datalakes que les permitiran explotar estas capacidades.
- La nube a permitido a nuestros clientes rapidamente ajustarse en costos y reducir su infraestructura de acuerdo a la variacion de demanda y pagar solo por lo que usan Todas la compañias están tratando de ser más eficientes en costos Zoom: As a leading video conferencing service, Zoom had to move at lightning speed in order to meet the rising demand during the pandemic, and AWS was there to help them dramatically increase their capacity. They had to scale from 10 million daily meeting participants to 300 million in only a matter of weeks. AWS enabled Zoom to set up hundreds of thousands of servers in less than a month instead of the several months it would have taken to set them up physically. Instacart: Together with more than 25,000 local retail partner stores across North America, Instacart is helping Americans reliably get their groceries and household essentials at a time when some feel their risk of infection makes it unsafe to leave the house. Instacart has more than doubled the size of the paid shopper community it employs to reach 500,000 shoppers, and plans to bring on an additional 250,000 shoppers. Powered by AWS, Instacart has seen order volume grow more than 500 percent year-over-year in 2020. Behind the scenes, Instacart is working closely with AWS to tune and scale its cloud architecture. How is AWS contributing to solving the COVID crisis? AWS is collaborating with healthcare providers, public health organizations, government agencies, and life science businesses around the globe to support their efforts to cope with the effects of COVID-19 and to help with medical research, diagnostics, and vaccine and treatment development efforts. With the AWS Diagnostic Development Initiative, a program to support customers working to bring more accurate diagnostic solutions to market for COVID-19, we committed $20 million to accelerate this work and help our customers harness the cloud to tackle this challenge. We’re now seeing we’re now seeing organizations like Chan Zuckerburg Bio hub putting their credits to use to understand the fundamental mechanisms underlying disease like COVID-19, and to develop new technologies that will lead to actionable diagnostics and effective therapies.
- 1/You can’t predict the future, but you can put in place the infrastructure and the tools required to adjust to changes as quickly as possible. Data helps you identify changes, and the right data and analytics approach helps you make the right decisions quickly as changes occur. 2/Our AWS Analytics customers are doing just that, allowing them to navigate what has been a challenging year, and helping in the fight against COVID-19. We’ve seen customers in segments like travel and lodging who had to scale down their footprints when things spiked in March/April, then scale up rapidly, as their segments recovered, and we’ve seen others in segments like e-learning and healthcare who have seen the need for scale and analytics at levels they hadn’t imagined at the start of the year. Two great examples are: VYAIRE When demand for ventilators soared during the COVID-19 pandemic, medical device manufacturer Vyaire Medical found itself handling manufacturing volumes it never would have imagined just weeks before. Order volume suddenly increased by a factor of 20x, including a US government order for more than 20,000 ventilators. If the pandemic had occurred just two years earlier, Vyaire would have been caught unprepared. Before the COVID-19 pandemic, Vyaire was producing 30 ventilators a week. A few months into the pandemic, the company was producing about 600 a day. Every product had to meet tight regulations, even as urgent demand skyrocketed in the United States and around the world. For Vyaire’s biggest project—the US government order of over 20,000 ventilators—it partnered with aerospace company Spirit AeroSystems to temporarily convert an airplane component factory into a critical care ventilator factory. They had to replicate, from both a process and an engineering perspective, a highly customized manufacturing process for this line of ventilators. It was 20 times beyond what had ever been done before, all in 6 or 7 months. That ability to scale was only possible because of Vyaire’s newly modernized analytics solution, build on Amazon S3 with Amazon Redshift as their data warehouse. For example, their ability to analyze data quickly at scale enabled them to greatly increase the first pass yield (FPY), which measures the rate at which products pass the final test on the first attempt and are ready for distribution. In near real-time, Vyaire was able to load data into the data warehouse and push it to relevant parts of the production line. By doing so, it could provide supervisors the information they needed to iterate their pieces of the process and improve total throughput. MODERNA Bringing new drugs to market can take a decade and cost in excess of $1 billion. Scientists may need years of basic research, screen thousands of compounds, and then move on to lab testing and trials. Often, siloed data and limited scalability of on prem systems for scientific and high-performance computing is a challenge. Moderna Therapeutics was founded in 2010 with the goal of delivering on the promise of messenger RNA (mRNA) science to create novel medicines for unmet patient needs. As you may have heard in the headlines, Moderna’s now one of the leading companies working on a COVID-19 vaccine and they just applied for US and EU approvals. They invented proprietary technologies and methods that run on AWS to create mRNA constructs that cells recognize as if they were produced in the body. This invention has empowered Moderna to experiment rapidly on virtually any mRNA sequence, easily shifting between research priorities, without investing in new technology. Moderna runs its Drug Design Studio on AWS’s highly scalable compute and storage infrastructure to quickly design mRNA sequences for protein targets. It then uses analytics and machine learning to optimize those sequences for production so that the company’s automated manufacturing platform can successfully convert them into physical mRNA for testing. Moderna is using Amazon Redshift for simple, cost-effective data warehousing to avoid silos and establish a single source of truth for company data. By using Amazon Redshift as a central repository, the company can capture all its data once, with little manual effort, and use business intelligence data-science tools to give its scientists access to informative visualizations that help them find correlations, develop insights, and make decisions. Backups are pushed to Amazon S3, which is highly scalable and durable (designed for eleven nines), versioning, cross-region replication, and robust backup and disaster recovery capabilities. Redshift, along with other AWS technology, is helping scientists and engineers aggregate results from dozens of experiments that are running in parallel and can easily query and share insights to refine their design and production cycle quickly. It operates as their source of truth for the data collected from various data sources, and that data is then consumed by other analytics tools. We’re humbled and grateful to be supporting our customers as they navigate 2020. Link to 2017 case study: https://aws.amazon.com/solutions/case-studies/moderna-therapeutics/ Link to 2020 press release: https://www.businesswire.com/news/home/20200805005965/en/ TRANSITION: So, let’s talk about how customers are evolving their data architectures to analyze vast amounts of data in an easy and cost-effective manner…
- This is Amazon’s equation for innovation. We show it against this image, as it highlights our history and legacy that’s been engrained in everything we do from the very beginning. It’s important, because each element adds unique value for our customers. The uniqueness of Amazon’s culture isn’t a secret, but when customers here things about us like “working backward”, “every day is Day 1”, “serverless microservices”, it’s important to note that they aren’t words generated for effect. They are part of a deliberate innovation equation that allows for speed and innovation on an unprecedented scale. We invite our customers to invent the future of retail with us and to “lead, never follow”, because we understand how to work in that capacity in a sustainable, successful way.
- This is Amazon’s equation for innovation. We show it against this image, as it highlights our history and legacy that’s been engrained in everything we do from the very beginning. It’s important, because each element adds unique value for our customers. The uniqueness of Amazon’s culture isn’t a secret, but when customers here things about us like “working backward”, “every day is Day 1”, “serverless microservices”, it’s important to note that they aren’t words generated for effect. They are part of a deliberate innovation equation that allows for speed and innovation on an unprecedented scale. We invite our customers to invent the future of retail with us and to “lead, never follow”, because we understand how to work in that capacity in a sustainable, successful way.