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- 5. Entrevista Televisiva TEC – América Televisión
- 6. Entrevista En revista Somos 2013 – El Comercio
- 7. EMPODERE A CADA PERSONA Y ORGANIZACIÓN A LOGRAR MÁS
- 8. CREAR REINVENTAR LA PRODUCTIVIDAD Y PROCESOS DE NEGOCIOS CONSTRUYENDO UNA NUBE INTELIGENTE EMPODERE A CADA PERSONA Y ORGANIZACIÓN A LOGRAR MÁS
- 10. La nube es donde está el ahorro…
- 11. Evolucione su modelo de negocio Los líderes de Negocios Adoptarán la tecnología Los líderes tecnológicos Liderarán la estratégia de negocios. Los usuarios finales Priorizarán las inversiones en tecnología.
- 13. A look inside Gartner Magic Quadrants… • Microsoft leads in core cloud technologies, IaaS, PaaS, Private and Public Clouds • Microsoft leads in 19 Gartner MQ’s (and a Visionary or Challenger in 17 others) What do others say..? Magic Quadrant for Cloud Infrastructure as a Service Worldwide (May 2015) *Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Topic Area Magic Quadrant Last Release Microsoft Amazon Application Development Application Development Life Cycle Management Feb-15 Leader Business Applications Business Intelligence and Analytics Platforms Feb-15 Leader Software Infrastructure Client Management Tools May-15 Leader Software Infrastructure Cloud Infrastructure as a Service May-15 Leader Leader Business Applications CRM Customer Engagement Center Apr-15 Leader Software Infrastructure Data Warehouse Database Management Systems Feb-15 Leader Challenger Software Infrastructure Enterprise Application Platform as a Service Mar-15 Leader Business Applications Enterprise Content Management Oct-15 Leader Software Infrastructure Horizontal Portals Sep-15 Leader Application Development Integrated Software Quality Suites Aug-14 Leader Software Infrastructure On-premises Application Integration Suites Jul-14 Leader Software Infrastructure Operational Database Management Systems Oct-15 Leader Leader Software Infrastructure Public Cloud Storage Services Jun-15 Leader Leader Business Applications Sales Force Automation Jul-15 Leader Software Infrastructure Secure Email Gateways Jun-15 Leader Business Applications Social Software in the Workplace Oct-15 Leader Communications Equipment Unified Communications Aug-15 Leader Software Infrastructure Web Conferencing Dec-15 Leader Software Infrastructure x86 Server Virtualization Infrastructure Jul-15 Leader LEADER Magic Quadrant for Public Cloud Storage Services (June 2015) Magic Quadrant for Enterprise Application Platform as a Service (March 2015) Magic Quadrant for X86 Server Virtualization Infrastructure (July 2015) Magic Quadrant for Operational Database Management Systems (Oct 2015) LEADER LEADER LEADER LEADER Magic Quadrant for Business Intelligence and Analytics Platforms (Feb 2015) LEADER
- 14. Hyper scale Infrastructure is the enabler 100+ Datacenters across 30 Regions (22 Generally Available) Worldwide Top 3 networks in the world 2.5x AWS, 7x Google DC Regions G Series – Largest VM in World, 32 cores, 448GB Ram, SSD… Operational Announced/Not Operational Central US Iowa West US California East US Virginia US Gov Virginia North Central US Illinois US Gov Iowa South Central US Texas Brazil South Sao Paulo State West Europe Netherlands China North * Beijing China South * Shanghai Japan East Tokyo, Saitama Japan West Osaka India South Chennai East Asia Hong Kong SE Asia Singapore Australia South East Victoria Australia East New South Wales India Central Pune Canada East Quebec City Canada Central Toronto India West Mumbai Germany North East ** Magdeburg Germany Central ** Frankfurt North Europe Ireland East US 2 Virginia United Kingdom RegionsUnited Kingdom Regions US DoD East TBD US DoD West TBD * Operated by 21Vianet ** Data Stewardship by Deutsche Telekom
- 15. Cloud Management and Systems Platform Services Infrastructure Services Web Apps Infrastructure Mobile Backends API Management API App Infrastructure Business Process Automation Push Notifications Content Delivery Network (CDN) Live & OD Media Streaming B2B Integration Hybrid Connections Pub/Sub Queuing Simple Queuing Hybrid Operations Server Data Backup Hybrid/Intelligent Data Backup Disaster Recovery Bulk Data Import And Export Relational SQL Database Document Database Service Distributed In-Memory Cache Search Simple Key/Value Store Data Warehouse Directory Health Monitoring Privileged Identity Management Operational Analytics Stateless Compute Scheduled Compute Jobs Virtual App Streaming Distributed Compute Development Tools Application Instrumentation Software Development Kits Software Lifecycle Management Domain Join & Policy Management Big Data Analytics Predictive Analytics Data Stream Analytics Data Pipelines Device Data Collection Mobile Analytics Big Data Storage IoT Device Management Data Source Management Security & Management User/Group Directory Store Multi-Factor Authentication Scheduled Service Management Service Creation & Configuration Encryption Key Store Software/Solution Marketplace Pre-Build VM Images Identity Sign-Up and sign-in Task Scheduler
- 16. Applications Clients Infrastructure Management Databases & Middleware App Frameworks & Tools DevOps PaaS & DevOps
- 17. Cloud Management and Systems Azure Compliance The largest compliance portfolio in the industry HIPAA / HITECH FedRAMP JAB P-ATO FIPS 140-2 FERPA DISA Level 2 ITAR-readyCJIS21 CFR Part 11 IRS 1075 Section 508 VPAT ISO 27001 PCI DSS Level 1SOC 1 Type 2 SOC 2 Type 2 ISO 27018Cloud Controls Matrix Content Delivery and Security Association Shared Assessments European Union Model Clauses United Kingdom G-Cloud Singapore MTCS Level 3 Australian Signals Directorate Japan Financial Services China Multi Layer Protection Scheme China CCCPPF New Zealand GCIO China GB 18030 EU Safe Harbor ENISA IAF
- 21. Tendencias de Transformación de los Negocios IntelligenceCloudBig Data
- 22. Analytics APIs Soluciones para el Análisis Avanzado R-based analytics Cloud analytics Azure Machine LearningMicrosoft R Cognitive Services Soluciones Big Data Platform HDInsight/Spark Data ScientistData Scientist Developer Data Engineer /Data Scientist Solutions BDM/TDM Finished Apps & Solutions
- 24. Arquitectura de Servicios y Datos Ingest Store Interact Analyze Govern Secure Monitor
- 25. Arquitectura de Servicios y Datos Ingest Store Interact Analyze Govern Secure Monitor Data Factory Data Catalog HDI / ADLA Active Directory Op / App Insights Data Warehouse ADLS / Blob ML / R / CS / Spark PowerBI App Svcs
- 26. Transforma los datos de inteligencia Intelligence Dashboards & Visualizations Information Management Big Data Stores Machine Learning and Analytics CortanaEvent Hubs HDInsight (Hadoop and Spark) Stream Analytics Data Intelligence Action People Automated Systems Apps Web Mobile Bots Bot Framework SQL Data WarehouseData Catalog Data Lake Analytics Data Factory Machine Learning Data Lake Store Cognitive Services Power BI Data Sources Apps Sensors and devices Data
- 28. Value Difficulty What Happened ? Descriptive Analytics Diagnostic Analytics Predictive Analytics Prescriptive Analytics Why did it Happen? What Will Happen? How can we Make it Happen?
- 30. R studio Python Jupyter notebook Load Data From Different Location Clean data Machine Learning Algorithms R and Python Language Web services
- 34. 1. Definir modelo inicial 2. Entrenar modelo 3. Validación de modelo Encontrar el modelo ideal evaluando resultados Despliegue como Web Service (REST) 5. Validar y Actualizar
- 36. Red de fibra óptica NuestraOportunidadde TransformaciónDigital Plataforma Operativa Centro de Datos (DC) Centralización de Datos Gestión y Almacenamiento de Datos Servicios al Ciudadano Apps Web Mobil e Bots Gestión de Software Servicios al Ciudadano Cloud analytics Indicadores de Control Gobernabilidad Toma de decisiones
- 38. • Francis Urteaga • Gerente Comercial • francis.urteaga@cmscloud.pe Gracias Cusco! • Hugo Sandoval • Gerente Comercial • hugo.sandoval@btech.com.pe
Notas do Editor
- Slide Objective: Our mission. The source of this transformation is the enduring mission of Microsoft. It is to empower every person and every organization on the planet to achieve more. We are the only company that cares deeply about both individuals and organizations, and bringing them together to achieve transformation. We're the only company that cares deeply about taking the technology that we have and making it available to every company in every vertical industry in all parts of the globe.
- Slide Objective: Introduce our core ambitions in context of how we empower customers to thrive and differentiate in the new digital age. These ambitions reflect a unique set of assets that span productivity services, cloud platform, our device platform and our family of devices. There is an explicit path dependence on how we achieve the “inter-connectedness” between the various elements of our strategy to gain momentum. Reinvent productivity and business processes People, at work or at home, in teams or alone, need to make the most of their time. Since people, and what they can produce together, are the engine of human progress, their ability to be productive is, in many ways, a governor on what we, as humans, can achieve. So, we are reinventing the services that people use to be productive. We will continue to extend and enhance these services to fit into the changing, real-world business processes that reflect how people work today -- as dynamic teams and groups working toward a shared outcome, with the need to collaborate, rapidly iterate on ideas and content, staying connected securely, on every device. And, in a world that generates more information than it can consume, people need help focusing, so they can turn noise into signal and infinite information becomes actionable insight. These services will have broad appeal and wide use, from the home to when we work, wherever that may be; because they are designed to make anyone productive. In a world where time is our most finite resource, our services will help people live a more productive life, so they can achieve more. Build the intelligent cloud: These experiences will be powered by our cloud platform – a cloud that provides you (our customers) faster time to value, improved agility and cost reduction, and solutions that differentiate their business. We will further provide a powerful extensibility model that is attractive to third-party developers and enterprises that will enhance your ability to differentiate your business with capabilities such as identity management, rich data management, machine learning and advanced analytics. And, so you can bring new capabilities into your organization without having to retrain IT or re-architect core systems, our intelligent cloud must be ready for anything and built for every organization. It must connect whatever you need – apps, data, devices, hardware, networks, clouds – old, new, non-Microsoft, custom – whatever. More personal computing Finally, we will build the best instantiation of this vision through our Windows device platform and our devices, Creating a new era of more personal computing where you interact more easily, more naturally and more securely with all the devices surrounding you and give you experiences that are about the mobility of your experience, not the mobility of the device. And where you can differentiate with stronger customer engagements. The breadth and boldness of these ambitions enables us help you innovate - empowering you to be and stay nimble, and to prosper in the digital-first world.
- As we think about a new model for customer engagement, let’s keep some things in mind. Companies no longer fully control the customer journey, customers do Customer engagement is no longer a static, one-size fits all model. Companies need to meet their customers on the channels their customers are using - email, chat, social, web , phone, or in store. Companies need to maintain context and know the customer across all touchpoints – marketing, sales, service. And, perhaps most importantly, in the modern world, customer engagement isn’t about a single transaction, it’s about building relationships with customers over time. We believe that the ideal new model is that of intelligent customer engagement. By using technologies such as big data, predictive analytics, and IoT services, companies can harness the power of information available from devices, people, things, and the web to provide personalized, proactive, and predictive customer experiences that drive long-lasting relationships with their customers built on trust, knowledge and insight. Let’s talk more about what we mean by personalized, proactive, and predictive. Personalized – understanding who the customer is, the context in which companies are engaging them, and the channel on which they are engaging so that they can deliver the right message or information on the right channel at the right time, and maintain context throughout the customer’s journey. Example – a company’s marketing team could tailor an offer based on their comprehensive understanding of the customer’s past buying behavior, knowledge of people with profiles similar to theirs and the buying habits of those people, and market information that may shed new light on trends relevant to the buyer. By delivering a personalized offer – on the channel or channels that the customer uses – the company stands a greater chance of connecting with that customer in a meaningful way. Proactive – gathering information to identify patterns and trends, determining the next best action to take, and ultimately taking action without prompting from the customer. This could be applied in a variety of ways, but one example is the collection and analysis of data coming from a solar panel. In this scenario, the sensor on a solar panel indicates that the panel isn’t operating as efficiently as it should. The anomaly is detected by the company supporting it, and the company proactively sends a technician with the right skills and right tools to fix the problem, all without the customer noticing a problem. Predictive – similar to Proactive, here we’re talking about applying machine learning to both internal and external data to identify patterns and predict outcomes, then make recommendations or suggestions for how to optimize. An example of this is Line of Business Sales processes. Through machine learning technology, recommendations for cross-sell or up-sell can be made to a sales person based on an understanding of the characteristics of the current customer, as well as the historical buying patterns of customers with a similar profile. The sales person could make an informed recommendation to the customer that the customer may not have previously considered, which may add value and enhance the customer’s experience with the company. Now let’s take a look at what Microsoft offers to enable intelligent customer engagement.
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