At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years. Machine learning (ML) algorithms drive many of our internal systems. It's also core to the capabilities our customers experience – from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, our drone initiative Prime Air, and our new retail experience Amazon Go. This is just the beginning. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every developer and data scientist.
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas. Con AWS no necesita hacer grandes inversiones iniciales de tiempo o dinero para crear y mantener la infraestructura. En su lugar, puede aprovisionar exactamente el tipo y el tamaño adecuado de los recursos que necesita para impulsar sus aplicaciones de análisis de big data. Puede obtener acceso a tantos recursos como necesite, prácticamente al instante, y pagar únicamente por los utilice.
Independientemente de que usted sea un banco inversor mundial o una startup emergente del sector tecnológico-financiero, AWS puede ayudarlo a reinventar y optimizar su relación con la tecnología para disminuir los plazos de ingreso al mercado, automatizar y fortalecer la seguridad, aumentar los beneficios de los accionistas, mejorar las experiencias de los clientes y reducir los costos.
Los clientes de los servicios financieros como Capital One, FINRA, y Pacific Life transfieren cargas de trabajo críticas a AWS y perciben mayores niveles de eficiencia en áreas como informática de alto rendimiento, análisis de datos, transformación digital, seguridad y conformidad, y recuperación de desastres.
En vez de estar limitados por la tecnología, los clientes de AWS la están haciendo trabajar para ellos, con el objetivo de incorporar innovaciones y obtener nuevas oportunidades comerciales.
https://aws.amazon.com/es/financial-services/
Today Financial Services Industry organisations are using AWS to both develop new sources of customer value as well as reinventing their core. In this session we will provide insights into the successful adoption patterns and trends that have emerged. We will also discuss how organisations in the FSI space have successfully navigated the people and processes challenges that initially inhibited enterprise wide adoption. Finally, through our experience in helping enterprises navigate this change, AWS has developed the Cloud Adoption Framework (CAF) to assist with planning, creating, managing and supporting the shift. We will spend time taking you through this framework to assess where you are on your Cloud journey and tangible takeaways that will help you accelerate.
Agility is the number one goal for FS customers moving to AWS, but why is agility important and how can AWS help you achieve agility with control. In this presentation we will tell you why FS customer choose AWS and how they achieve agility with the control that is required working in a regulated environment.
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas.
https://aws.amazon.com/es/big-data/
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas. Con AWS no necesita hacer grandes inversiones iniciales de tiempo o dinero para crear y mantener la infraestructura. En su lugar, puede aprovisionar exactamente el tipo y el tamaño adecuado de los recursos que necesita para impulsar sus aplicaciones de análisis de big data. Puede obtener acceso a tantos recursos como necesite, prácticamente al instante, y pagar únicamente por los utilice.
Independientemente de que usted sea un banco inversor mundial o una startup emergente del sector tecnológico-financiero, AWS puede ayudarlo a reinventar y optimizar su relación con la tecnología para disminuir los plazos de ingreso al mercado, automatizar y fortalecer la seguridad, aumentar los beneficios de los accionistas, mejorar las experiencias de los clientes y reducir los costos.
Los clientes de los servicios financieros como Capital One, FINRA, y Pacific Life transfieren cargas de trabajo críticas a AWS y perciben mayores niveles de eficiencia en áreas como informática de alto rendimiento, análisis de datos, transformación digital, seguridad y conformidad, y recuperación de desastres.
En vez de estar limitados por la tecnología, los clientes de AWS la están haciendo trabajar para ellos, con el objetivo de incorporar innovaciones y obtener nuevas oportunidades comerciales.
https://aws.amazon.com/es/financial-services/
Today Financial Services Industry organisations are using AWS to both develop new sources of customer value as well as reinventing their core. In this session we will provide insights into the successful adoption patterns and trends that have emerged. We will also discuss how organisations in the FSI space have successfully navigated the people and processes challenges that initially inhibited enterprise wide adoption. Finally, through our experience in helping enterprises navigate this change, AWS has developed the Cloud Adoption Framework (CAF) to assist with planning, creating, managing and supporting the shift. We will spend time taking you through this framework to assess where you are on your Cloud journey and tangible takeaways that will help you accelerate.
Agility is the number one goal for FS customers moving to AWS, but why is agility important and how can AWS help you achieve agility with control. In this presentation we will tell you why FS customer choose AWS and how they achieve agility with the control that is required working in a regulated environment.
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas.
https://aws.amazon.com/es/big-data/
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Laurence Thiery, Head of Business Development - Financial Services, APAC, AWS
Transforming Consumer Banking with a 100% Cloud-Based Bank (FSV204) - AWS re:...Amazon Web Services
Customer demands for higher levels of service and value, constantly evolving technology capabilities, and stringent regulatory requirements are all powerful forces reshaping retail banking. Built exclusively on AWS, Starling Bank’s 100% cloud-based, mobile-only banking solution satisfies regulators in terms of its resilience, security, and reliability. It also satisfies consumers by giving them greater control over their data, streamlining the account opening process, accelerating payments, and providing access to innovative new services developed from scratch with open APIs, a developer platform, integration with Apple Pay, Google Pay, and Fitbit Pay and a custom backend ledger and payments integrations. Starling Bank is leading the open banking revolution. In this session, learn how Starling Bank delivers value to their customers and innovates at a very fast pace in a sector that can be slow to evolve.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speakers:
Myles Hosford, Security Solutions Architect APAC, AWS
Anthony Hodge, Head, Cloud Engineering and Delivery, Standard Chartered Bank
Learn how cloud is the "New Normal" and the benefits of a cloud environment, with benefits for every industry, customer type, and stage of cloud adoption.
As the financial services industry goes through fundamental transition, we see digitalization as becoming a critical success factor. This talk will cover trends around how cloud and web services can enable you to transform your operating platforms to provide your customers and partners with better experiences.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Lijia Xu, Big Data Practice Lead, Professional Services, AWS
Financial Services Industry (FSI) globally is actively looking for ways to adopt cloud to quicken go-to-market speeds, automate and strengthen security, increase stakeholder value, improve customer experiences, and lower costs. Regulators are changing gears and are encouraging the industry to adopt cloud to build efficiencies, and scale and move faster.
We understand that most of the financial services companies are in the ‘How to’ phase of cloud adoption. Financial Services customers like Capital One, FINRA, Nasdaq, and Pacific Life are moving critical workloads to AWS and realizing efficiencies in areas such as high performance computing, data analytics, digital transformation, security and compliance, and disaster recovery.
To inspire you like we inspired these major FSI players, we are hosting the AWS Financial Services Cloud Symposium again in Hong Kong. Subsequent to the success from last year, you will continue to gain insights on the latest technology trends, best practices and use cases of cloud computing and learn how AWS is inceasingly helping financial institutions realize the benefits. Through discussions led by customers, partners, industry leaders and AWS subject matter experts, we'll explore innovative techniques and solutions to increase agility and operational excellence in your organization. No matter who you are, from business stakeholders to technology drivers, rest assured you will learn something new, specific and useful.
Speaker: Zane Moi, Head of Business Development, Hong Kong & Taiwan, AWS
Building a Customer-Centric Contact Center in a Regulated EnvironmentAmazon Web Services
This session will demonstrate how Amazon AI services enable Financial Services firms to deliver transformational customer experiences while still meeting regulatory obligations. Instead of human-intensive quality assurance and training processes, Amazon AI services provide data on customer sentiment and the most common issues raised during service interactions – all without the need to host any infrastructure, and while maintaining a scalable, elastic solution to align the cost of providing service with the demand.
Presenter: Kenneth Jackson, Global Account Solutions Architect, AWS and Hanybal Jajoo, Global Account Solutions Architect, AWS
With cloud, you have the flexibility to acquire and use IT resources and services on-demand, which represents a major shift from traditional approaches managing cost. A key first step on your organization’s cloud journey is to establish best practices for cost management in the cloud. AWS' cost optimization techniques help our customers understand cost drivers and effectively manage the cost of running existing application workloads or new ones in the cloud.
Financial Services institutions are harnessing AWS capabilities to transform their existing businesses and bring innovative solutions to market. In this session, AWS experts will provide an overview of how public cloud is enabling innovations and improvements, such as new digital channels, core systems modernization, and the integration of machine learning technologies at scale.
HBX: Harvard Business School's Digital Education Goes Data-Centric with Amaz...Amazon Web Services
Learn how HBX, the digital learning initiative of Harvard Business School, became data-centric to deliver an innovative online business learning experience that improves student outcomes, teaching process and staff effectiveness while promoting continuous innovation across teams.
In this webinar, you’ll find out how Informatica and Amazon Redshift helped HBX deliver a solution to:
Rapidly and automatically integrate and unify multiple siloed data sources into a trusted cloud data warehouse.
Accelerate reporting, dashboarding, and self-service analytics for data-informed decisions, ongoing agile experimentation, and business enhancement, and much more.
In addition, learn how AWS and Informatica can help you deliver your own agile analytics initiative and use the power of scalable cloud data warehousing environments to fuel all of your data-centric initiatives.
Distinguishing the hype from reality can be a bit confusing, especially when you consider the attention that AI gets from the media and commentators. So, how can your organisation get started and put AI to work for you? That is the question I will answer in this talk. From greater customer intimacy, increasing competitive advantage and improving efficiency, I will discuss and show how AI can be used today and help the organisation in more impactful ways.
Taming Cloud Cost Complexity: AWS Billing and Invoicing Strategies That Scale...Amazon Web Services
Taming Cloud Cost Complexity: AWS Billing and Invoicing Strategies That Scale - CloudCheckr
In order to run a successful AWS practice, you must manage costs, optimize spending, and automate billing to increase margins. Although AWS offers many useful tools to help with this, CloudCheckr provides a single pane of glass view across all activity within your environment—giving you the visibility and insights to make the most of your cloud spend. During this presentation, Director of Global Sales Elissa Livingston and Senior Account Executive Ashley Ernst will run through the following:
- The biggest cost pitfalls public cloud users encounter
- Common challenges with AWS invoicing
- Strategic advice to increase margins while growing your business
- Actionable tips to optimize cloud spend
Speakers:
Elissa Livingston, CloudCheckr
Ashley Ernst, CloudCheckr
SRV211_Building Smart Applications Leveraging AWS to Drive Customer and Worke...Amazon Web Services
In this session, attain knowledge about how AWS can help create a differentiated customer experience for your end users and employees, at scale and at the speed of innovation to meet your customer’s expectations. Hear from a panel of enterprise IT executives, including Glenn Weinstein, CIO of Appirio, who are innovating and driving real transformations of their business via the AWS Cloud. They are leveraging AWS offerings to build, migrate and run their applications on AWS, including AWS Lex, AWS Lambda, Amazon Kinesis, and Amazon Redshift.
Session sponsored by Wipro
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Laurence Thiery, Head of Business Development - Financial Services, APAC, AWS
Transforming Consumer Banking with a 100% Cloud-Based Bank (FSV204) - AWS re:...Amazon Web Services
Customer demands for higher levels of service and value, constantly evolving technology capabilities, and stringent regulatory requirements are all powerful forces reshaping retail banking. Built exclusively on AWS, Starling Bank’s 100% cloud-based, mobile-only banking solution satisfies regulators in terms of its resilience, security, and reliability. It also satisfies consumers by giving them greater control over their data, streamlining the account opening process, accelerating payments, and providing access to innovative new services developed from scratch with open APIs, a developer platform, integration with Apple Pay, Google Pay, and Fitbit Pay and a custom backend ledger and payments integrations. Starling Bank is leading the open banking revolution. In this session, learn how Starling Bank delivers value to their customers and innovates at a very fast pace in a sector that can be slow to evolve.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speakers:
Myles Hosford, Security Solutions Architect APAC, AWS
Anthony Hodge, Head, Cloud Engineering and Delivery, Standard Chartered Bank
Learn how cloud is the "New Normal" and the benefits of a cloud environment, with benefits for every industry, customer type, and stage of cloud adoption.
As the financial services industry goes through fundamental transition, we see digitalization as becoming a critical success factor. This talk will cover trends around how cloud and web services can enable you to transform your operating platforms to provide your customers and partners with better experiences.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Lijia Xu, Big Data Practice Lead, Professional Services, AWS
Financial Services Industry (FSI) globally is actively looking for ways to adopt cloud to quicken go-to-market speeds, automate and strengthen security, increase stakeholder value, improve customer experiences, and lower costs. Regulators are changing gears and are encouraging the industry to adopt cloud to build efficiencies, and scale and move faster.
We understand that most of the financial services companies are in the ‘How to’ phase of cloud adoption. Financial Services customers like Capital One, FINRA, Nasdaq, and Pacific Life are moving critical workloads to AWS and realizing efficiencies in areas such as high performance computing, data analytics, digital transformation, security and compliance, and disaster recovery.
To inspire you like we inspired these major FSI players, we are hosting the AWS Financial Services Cloud Symposium again in Hong Kong. Subsequent to the success from last year, you will continue to gain insights on the latest technology trends, best practices and use cases of cloud computing and learn how AWS is inceasingly helping financial institutions realize the benefits. Through discussions led by customers, partners, industry leaders and AWS subject matter experts, we'll explore innovative techniques and solutions to increase agility and operational excellence in your organization. No matter who you are, from business stakeholders to technology drivers, rest assured you will learn something new, specific and useful.
Speaker: Zane Moi, Head of Business Development, Hong Kong & Taiwan, AWS
Building a Customer-Centric Contact Center in a Regulated EnvironmentAmazon Web Services
This session will demonstrate how Amazon AI services enable Financial Services firms to deliver transformational customer experiences while still meeting regulatory obligations. Instead of human-intensive quality assurance and training processes, Amazon AI services provide data on customer sentiment and the most common issues raised during service interactions – all without the need to host any infrastructure, and while maintaining a scalable, elastic solution to align the cost of providing service with the demand.
Presenter: Kenneth Jackson, Global Account Solutions Architect, AWS and Hanybal Jajoo, Global Account Solutions Architect, AWS
With cloud, you have the flexibility to acquire and use IT resources and services on-demand, which represents a major shift from traditional approaches managing cost. A key first step on your organization’s cloud journey is to establish best practices for cost management in the cloud. AWS' cost optimization techniques help our customers understand cost drivers and effectively manage the cost of running existing application workloads or new ones in the cloud.
Financial Services institutions are harnessing AWS capabilities to transform their existing businesses and bring innovative solutions to market. In this session, AWS experts will provide an overview of how public cloud is enabling innovations and improvements, such as new digital channels, core systems modernization, and the integration of machine learning technologies at scale.
HBX: Harvard Business School's Digital Education Goes Data-Centric with Amaz...Amazon Web Services
Learn how HBX, the digital learning initiative of Harvard Business School, became data-centric to deliver an innovative online business learning experience that improves student outcomes, teaching process and staff effectiveness while promoting continuous innovation across teams.
In this webinar, you’ll find out how Informatica and Amazon Redshift helped HBX deliver a solution to:
Rapidly and automatically integrate and unify multiple siloed data sources into a trusted cloud data warehouse.
Accelerate reporting, dashboarding, and self-service analytics for data-informed decisions, ongoing agile experimentation, and business enhancement, and much more.
In addition, learn how AWS and Informatica can help you deliver your own agile analytics initiative and use the power of scalable cloud data warehousing environments to fuel all of your data-centric initiatives.
Distinguishing the hype from reality can be a bit confusing, especially when you consider the attention that AI gets from the media and commentators. So, how can your organisation get started and put AI to work for you? That is the question I will answer in this talk. From greater customer intimacy, increasing competitive advantage and improving efficiency, I will discuss and show how AI can be used today and help the organisation in more impactful ways.
Taming Cloud Cost Complexity: AWS Billing and Invoicing Strategies That Scale...Amazon Web Services
Taming Cloud Cost Complexity: AWS Billing and Invoicing Strategies That Scale - CloudCheckr
In order to run a successful AWS practice, you must manage costs, optimize spending, and automate billing to increase margins. Although AWS offers many useful tools to help with this, CloudCheckr provides a single pane of glass view across all activity within your environment—giving you the visibility and insights to make the most of your cloud spend. During this presentation, Director of Global Sales Elissa Livingston and Senior Account Executive Ashley Ernst will run through the following:
- The biggest cost pitfalls public cloud users encounter
- Common challenges with AWS invoicing
- Strategic advice to increase margins while growing your business
- Actionable tips to optimize cloud spend
Speakers:
Elissa Livingston, CloudCheckr
Ashley Ernst, CloudCheckr
SRV211_Building Smart Applications Leveraging AWS to Drive Customer and Worke...Amazon Web Services
In this session, attain knowledge about how AWS can help create a differentiated customer experience for your end users and employees, at scale and at the speed of innovation to meet your customer’s expectations. Hear from a panel of enterprise IT executives, including Glenn Weinstein, CIO of Appirio, who are innovating and driving real transformations of their business via the AWS Cloud. They are leveraging AWS offerings to build, migrate and run their applications on AWS, including AWS Lex, AWS Lambda, Amazon Kinesis, and Amazon Redshift.
Session sponsored by Wipro
Deliver New Customer Experiences Through AI-enabled ChatbotsAmazon Web Services
Chatbots allow companies to mimic human conversations with their customers. Built upon artificial intelligence (AI) and machine learning (ML), they provide instantly available support that is adaptive to user needs and improves with use over time.
Learn how organizations are leveraging this new technology to improve customer engagement by better tailoring their marketing efforts, while at the same time reducing costs and overhead.
Deloitte Digital will showcase their conversational chatbot solution built on Amazon Web Services (AWS) and utilizing Amazon Lex. Discover how companies can rapidly build a proof of concept prior to integrating, launching, and rapidly scaling them to the market.
Create an ML Factory in Financial Services with CI CD - FSI301 - New York AWS...Amazon Web Services
Financial institutions want to accelerate and scale their use of machine learning (ML), but going from a hypothesis to a working ML model that infers answers in production requires much time and effort. Continuous integration and deployment techniques can help by accelerating the ML development process while providing a way to answer questions about data lineage, such as, “What version of the code and data produced this particular inference?” In this session, learn how to combine Amazon SageMaker with AWS CodeCommit, AWS CodeBuild, and AWS CodePipeline to create a workflow that helps provide the reproducibility and auditability that financial institutions need without constraining the tools and methods that data scientists use to build their ML models.
Automated Frameworks to Deliver DevOps at Speed and Scale on AWSAmazon Web Services
Global technical consultancy Contino discovered they were solving the same DevOps problems for their enterprise financial services clients again and again – so they created automated frameworks to help financial services clients accelerate their journey to DevOps.
In this webinar, you will learn how Continuum, an automated framework for creating an end-to-end DevOps pipeline in minutes on Amazon Web Services (AWS), and Momentum, a data-driven, five-phase roadmap for accelerated enterprise DevOps adoption, are helping enterprises to move faster and innovate more quickly.
Ben Wootton, Contino Co-founder and CTO, will demonstrate how Contino used Continuum to create an automated, secure continuous integration and continuous delivery (CI/CD) pipeline on AWS in under 10 minutes.
How Deloitte Uses AI to Simplify Reporting and Increase ValueAmazon Web Services
In this webinar, you’ll learn how Deloitte, a multinational consultancy, solves client pain points around employee efficiency, scale, regulatory compliance, and customer engagement using Quill, a NLG solution created by Narrative Science and deployed on AWS. You’ll learn how you can easily get started with artificial intelligence on AWS to derive deeper insights, improve operational efficiency, enhance customer experiences, and meet compliance requirements.
Join our webinar to learn:
- How NLG can solve problems around internal reporting, operational efficiency, and regulatory compliance
- How Deloitte delivered transformative solutions both internally and to clients on AWS while saving over $600K
- How to get started with NLG in your organization
IBM i & digital transformation - Presentation & basic demo
IBM Watson Studio, IBM DSX Local w/ Open Source (Spark) & IBM Technology (OpenPower, CAPI, NVLINK)
AI/ML with Data Lakes: Counterintuitive Consumer Insights in Retail (RET206) ...Amazon Web Services
In this session, learn how data scientists in the retail industry, from companies like Tapestry, Coach, and Kate Spade, are finding new, counterintuitive consumer insights using AWS artificial intelligence services in a data lake. By leveraging data from various retail systems, including CRM, marketing, e-commerce, point of sale, order management, merchandising, and customer care, we show you how these consumer insights might influence new and interesting retail use cases while establishing a data-driven culture within the organization. Services referenced include Amazon S3, Amazon Machine Learning, Amazon QuickSight, Amazon SageMaker, among others.
Enterprises that are embracing cloud computing are interested in driving fundamental changes in their business so they can compete in the future. IT transformation, enabled by cloud adoption, is a key component of this future success—from tighter alignment with business unit stakeholders to increased agility and pace of innovation. In this session, we explore the potential for transformation that comes with cloud adoption and discuss how some of the world’s leading enterprises were able to transform. We also explore organizational and technology best practices that you can implement to support transformation in your organization.
Artificial intelligence in actions: delivering a new experience to Formula 1 ...GoDataDriven
At GoDataFest 2019, Guy Kfir presented how AI delivers a new experience to Formula 1 fans across the world. AWS fuels the analytics through machine learning. Did you know a Formula 1 race car contains 120 sensors and generated 3 GB of data every race at 1,500 data points per second? AWS developed several applications, including overtake possibility, pitstop advantage. How important is it for your company to invest in Machine Learning and AI? There are three scenario's for AI/ML success: Automation, Enrichment and Invention. So, what are you waiting for: create the loop, advance your data strategy and organize for succes. To get started identify AI/ML use cases, educate yourself, start with AI services and move to Amazon Sagemaker, engage with AWS, consider the partner eco system (like GoDataDriven or Binx).
1. Cloud Adoption Journey reference framework to help Teams move to Cloud and become Cloud Native
2. Define basic Pillars to include Security & Compliance, Costs Optimization, Scalability and Performance as well as Operational Excellence, AWS Well-Architected as guidance
3. Goal is to assess and guide Companies/Teams in Portfolio to faster adopt and evolve Cloud concepts to focus on Business value
4. Governance as a key driver to boost flexibility, reduce risks and foster efficiency
5. Enterprise Transformation Architecture offerings
Drive innovation in Financial Services with Amazon EC2 - CMP204 - New York AW...Amazon Web Services
The landscape of the Financial Services industry is changing through new types of risks, an explosion of data, and evolving customer expectations. Join this session to learn how compute solutions powered by Amazon EC2 are helping financial services companies drive innovation and transform their businesses. We highlight how financial services companies are leveraging machine learning and grid computing to minimize risk, optimize investments, and meet customer demands. We also cover how AWS Outposts extends the AWS Cloud on-premises for a consistent hybrid cloud experience.
AWS Data-Driven Insights Learning Series_ANZ Sep 2019 Part 2Amazon Web Services
AWS has been supporting companies across Australia and New Zealand to put their most innovative tools and technologies to work to achieve their business needs and goals. AWS and our ecosystem of partners has helped the likes of CP Mining, IntelliHQ, WesCEF, Oz Minerals, Woodside and many more to modernise their analytics and data architecture in order to successfully generate business value from their data.
This event series aimed to educate customers with a broader understanding of how to build next-gen data lakes and analytics platforms and make connections with AWS.
Recommendation is one of the most popular applications in machine learning (ML). In this workshop, we’ll show you how to build a movie recommendation model based on factorization machines — one of the built-in algorithms of Amazon SageMaker — and the popular MovieLens dataset.
(Diapositivas de presentación son en inglés.)
El uso del cloud en entornos empresariales representa una gran oportunidad. En esta sesión hablaremos de como grandes corporaciones están definiendo las mejores practicas para organizar y acelerar la adopción de la nube en entornos complejos en colaboración con AWS.
Learning Objectives:
- Learn how Amazon SageMaker can be used for exploratory data analysis before training
- Learn how Amazon SageMaker provides managed distributed training with flexibility
- Learn how easy it is to deploy your models for hosting within Amazon SageMaker
Similar to Mining Intelligent Insights: AI/ML for Financial Services (20)
En este webinar, aprenderá cómo las empresas pueden aprovechar la nube de AWS para automatizar los pipelines de desarrollo de software. Este enfoque permite que su equipo sea más ágil, mejorando su capacidad para entregar aplicaciones y servicios rápidamente.
Neste webinar, você aprenderá como as empresas podem se valer da nuvem da AWS para automatizar os pipelines de desenvolvimento de software. Essa abordagem permite que sua equipe seja mais ágil, melhorando sua capacidade para entregar aplicações e serviços mais rapidamente.
Las tecnologías como los contenedores y kubernetes pueden hacer que sus procesos de entrega de software sean más fáciles y más rápidos. En este webinar, hablaremos sobre cómo usar el Amazon Kubernetes Service (EKS) para construir aplicaciones modernas con grupos Kubernetes totalmente administrados.
Tecnologias como containers e Kubernetes podem tornar seus processos de entrega de software mais fáceis e rápidos. Neste webinar, falaremos sobre como usar o Amazon Elastic Kubernetes Service (EKS) para criar aplicativos modernos com clusters de Kubernetes totalmente gerenciados.
Ransomware é uma das ameaças de crescimento mais rápido para qualquer organização. Nenhuma empresa, grande ou pequena, está imune a ataques de cibercriminosos. Nesta sessão, mostramos como você pode aproveitar os serviços e recursos da nuvem AWS para proteger seus dados mais valiosos de ataques cibernéticos e acelerar a restauração de operações.
El ransomware es una de las amenazas de más rápido crecimiento para cualquier organización. Ninguna empresa, grande o pequeña, es inmune a los ataques de los ciberdelincuentes. En esta sesión, mostramos cómo puede aprovechar los servicios y las capacidades de la nube AWS para proteger sus datos más valiosos de los ataques cibernéticos y acelerar la restauración de las operaciones.
Ransomware é uma prática maliciosa que tem se popularizado nos últimos anos. Nessa sessão, mostraremos como através da Amazon Web Services nossos clientes podem desenvolver uma estratégia pró-ativa de mitigação a ataques de ransomware, tanto em cenários on-premises como operando na nuvem.
El ransomware es una práctica maliciosa que se ha popularizado en los últimos años. En esta sesión les mostraremos cómo desde Amazon Web Services nuestros clientes pueden desarrollar una estrategia proactiva de mitigación frente a ataques de ransomware, tanto en escenarios on-premises, como operando en la nube.
Al mover datos a la nube, los clientes deben comprender los métodos óptimos para los diferentes casos de uso, los tipos de datos que están moviendo y los recursos disponibles en la red, entre otros. Las soluciones de migración y transferencia de AWS contemplan desde la migración de datos con conectividad limitada, almacenamiento en la nube híbrida, transferencias frecuentes de archivos B2B, hasta transferencias de datos en línea y sin conexión. En esta sesión, le mostramos cómo puede acelerar la migración y transferencia de datos de manera simplificada desde y hacia la nube de AWS.
Ao mover dados para a nuvem, os clientes precisam entender os métodos ideais de movê-los para diferentes casos de uso, os tipos de dados que estão movendo e os recursos de rede disponíveis, entre outras considerações. As soluções de migração e transferência da AWS atendem desde a migração de dados com conectividade limitada, armazenamento em nuvem híbrida, transferências frequentes de arquivos B2B até transferências de dados online e offline. Nessa sessão, mostraremos como você pode simplificar e acelerar sua migração e transferência de dados de e para a nuvem AWS.
El almacenamiento de archivos tiene diversos casos de uso; como directorios de usuarios, datos de aplicaciones, archivos multimedia y almacenamiento compartido para cargas de trabajo de alto rendimiento. La administración del almacenamiento de archivos en instalaciones propias suele ser un trabajo pesado, indiferenciado, con altos costos de adquisición, carga operativa para configurar y administra, lo que conlleva a desafíos de escalabilidad. En esta sesión, le mostramos cómo puede aprovechar las soluciones de archivos totalmente administradas de AWS para dejar de preocuparse por la sobrecarga administrativa de configurar, proteger, mantener y realizar copias de seguridad de su infraestructura de archivos.
La visualización de datos analíticos es un reto al que se enfrentan muchas organizaciones, el poder crear tableros, alertas, agregar predicciones a sus datos y actuar de acuerdo a estas de manera rápida es una necesidad de todos los negocios actuales. Únase a nuestros arquitectos para aprender como Amazon QuickSight le permite agregar inteligencia de negocios a sus aplicaciones y crear predicciones a futuro de sus datos. Amazon QuickSight es un servicio de inteligencia de negocios escalable y serverless creado para la nube, a través del cual podrá explotar sus datos de negocio para convertirlos en insights para hacer decisiones informadas sobre su negocio sin preocuparse de la gestión, escalamiento y la disponibilidad de la infraestructura de cómputo.
A visualização de dados é um desafio que muitas organizações enfrentam hoje. Criar dashboards, alertas, fazer previsões e agir rapidamente de acordo com os insights dos dados é uma necessidade de todas as empresas. Junte-se aos nossos arquitetos para aprender como o Amazon QuickSight o ajudará a adicionar BI aos seus aplicativos. O Amazon Quicksight é um serviço de BI escalável e serverless criado para a nuvem. Com ele, você pode explorar seus dados para obter insights e tomar decisões embasadas em seus negócios, sem se preocupar em gerenciar e dimensionar servidores e manter a disponibilidade de sua infraestrutura.
Executar projetos de Big Data nunca foi tão simples. Com a AWS, você pode executar Hadoop, Spark, Hive, Flink e frameworks semelhantes de maneira mais rápida e econômica. Neste webinar, você aprenderá como melhorar o desempenho do processamento de seus dados e reduzir custos, especialmente quando comparado a um ambiente on-premises.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
2. Breakthrough
advances
Optimization and
automation
AI and ML enable innovation at scale…
New features
for existing products
“After decades of false starts, artificial intelligence is on the verge of a
breakthrough, with the latest progress propelled by machine learning.”
McKinsey Global Institute, Artificial Intelligence The Next Digital Frontier? June 2017
3. …and could revolutionize Financial Services
The Economist, May 25, 2017
“AI could contribute up to $15.7
trillion to the global economy in
2030…. Healthcare, automotive
and financial services are the
sectors with the greatest potential
for product enhancement and
disruption due to AI.”
Sizing the prize: What’s the real value of AI for your
business and how can you capitalise? PwC report,
June 2017
Immense opportunities… …but huge risks of disruption
4. The potential impact of AI/ML is enterprise-wide
Compliance,
Surveillance, and
Fraud Detection
Pricing and
Product
Recommendation
Document
Processing
Trading Customer
Experience
• Credit card/account fraud
detection
• Anti-money laundering/
Sanctions
• Investigations optimization
• Sales practices/
transaction surveillance
• Compliance processes
optimization
• Regulatory mapping
• Enhanced customer
service through voice
services and chatbots
• Call center
optimization
• Personal financial
management
• Loan/Insurance
underwriting
• Sales/recommendations of
financial products
• Credit assessments
• Contract ingestion and
analytics
• Financial information
extraction
• Common financial
instrument taxonomy
• Corporate actions
• Portfolio management/
robo-advising
• Algorithmic trading
• Sentiment/news analysis
• Geospatial image analysis
• Predictive grid computing
capacity management
AI/ML use cases are gaining traction in Financial Services
5. But overall the industry has been slow to invest
Source: McKinsey Global Institute, Artificial
Intelligence The Next Digital Frontier?
An ambivalent response to AI
• Strong overall appetite for adopting AI
• History of digital investment and
strong foundation for integrating AI
technologies
• Large volumes of data to support
model training and development
• Comparatively low investment in AI
6. What is preventing the industry from moving ahead?
AI/ML
expertise is
rare
Building and
scaling AI/ML
technology is hard
Deploying and operating
models in production is
time-consuming and
expensive
A lack of cost-effective,
easy-to-use, and
scalable AI/ML services
7. AWS offers a range of solutions to make AI/ML more accessible
PollyLex Rekognition
Deep Learning FrameworksMachine Learning PlatformsAmazon AI/ML Services
Usability/simplicity:
leverages AWS AI/ML expertise
Greater control:
customer-specific models
Amazon ML
Spark & EMR
Kinesis
Batch
ECS
Customization of
offerings at scale
More personal and
efficient customer
interactions
Operational
efficiencies
Novel investment/
trading opportunities
Benefits for Financial Services Institutions
and others...
8. Our deep experience with AI/ML differentiates our services
Product
recommendation
engine
Robot-enabled
fulfillment
centers
New
product
categories
Amazon has invested in AI/ML since our
inception, and we share our knowledge and
capabilities with our customers
20171995
Natural language
processing-supported
contact centers
ML-driven supply
chain and
capacity planning
Checkout-free
shopping
using deep learning
20. Fraud.net is running AI/ML on AWS to predict financial crime
“Amazon Machine Learning helps us reduce complexity and make sense of emerging fraud patterns.
We can see correlations we wouldn’t have been able to see otherwise and answer questions it would
have taken us way too long to answer ourselves.
”
Fraud.net is the world’s leading
crowdsourced fraud prevention
platform, aggregating and
analyzing large amounts of
fraud data from thousands of
online merchants in real time.
The platform protects more
than 2 percent of all U.S. e-
commerce.
- Oliver Clark, CTO, Fraud.net
• To address its scalability needs, Fraud.net chose AWS to host its customer
platform, relying on services including DynamoDB, Lambda, S3, and Redshift
• Recently, Fraud.net started using Amazon Machine Learning, which helps its
developers build models and enables the use of APIs to get predictions for
applications without having to deploy prediction generation code
• Fraud.net can now easily launch and train new machine-learning models to target
evolving forms of fraud
• Using AWS, Fraud.net can maintain its fast application response times of under
200 milliseconds and save its customers about $1 million a week through fraud
detection and prevention
21. BuildFax uses Amazon ML to help insurers avoid losses
“Amazon Machine Learning democratizes the process of building predictive models. It’s easy and fast
to use and has machine-learning best practices encapsulated in the product, which lets us deliver
results significantly faster than in the past.
”
BuildFax aggregates dispersed
building permit data from across
the United States and provides it
to other businesses, especially
insurance companies, and
economic analysts. The
company also tracks trends like
housing remodels and new
commercial construction.
- Joe Emison, Founder & Chief Technology Officer, BuildFax
• BuildFax’s core customer base is insurance companies, which spend billions of
dollars annually on roof losses
• The company initially built predictive models based on ZIP codes and other general
data, but building the models was complex and the results did not provide enough
differentiators
• BuildFax now uses Amazon Machine Learning to provide roof-age and job-cost
estimations for insurers and builders, with property-specific values that don’t need
to rely on broad, ZIP code-level estimate
• Models that previously took six months or longer to create are now complete in four
weeks or fewer