Este documento presenta el resumen biográfico y experiencia laboral de una persona. Detalla sus roles como miembro de grupos de usuarios de Microsoft, consultor de soluciones empresariales, y director de tecnología. También incluye entrevistas y reconocimientos relacionados a su trabajo con plataformas en la nube y soluciones de productividad.
2. ¿Quién soy?
De Marzo 2006 -Enero 2011:
Miembro del MUG Cajamarca.
Microsoft Student Partner Senior
2010 - 2011
De Enero del 2011 a Enero 2013
Microsoft MVP (Most Valuable
Professional).
De Enero 2011-Diciembre 2012:
Consultor en Soluciones de Negocio -
G&S Gestión y Sistemas.
De Enero 2012-Diciembre 2012:
Technical Solution Professional
Information Worker - Microsoft Perú.
De Enero 2013-Agosto 2013:
Consultor en Soluciones de Negocio
en Cloud 365 S.A.C.
De Septiembre 2013 – Actualidad IT
Director & Senior Consultant
Microsoft, CMS
3. ¿Quién soy?
En la cual hablamos de Internet
Explorer 9 y su seguridad y
como pueden aprovechar los
Pined Sites en sus
computadoras con Windows 7.
Entrevista Televisiva TEC – América Televisión
4. ¿Quién soy?
Entrevista En revista Somos 2013 – El Comercio
En la cual hablamos de
productividad basada en
servicios empresariales
alojados en la nube.
Plataformas integradas
basadas en colaboración
extendida que aprovechan la
necesidad social de los
usuarios.
22.
Includes sync from
multiple forests including
merging duplicate users
in these forests
In addition to AD, can
sync from LDAP v3, SQL
Server (coming soon)
Enables selective OU sync
with using UX in the
setup
Enables selective attribute
sync
Enables transforming of
attributes using UX in the
setup
Installer that deploys
Azure AD Sync and
optionally AD FS
A superset of Azure AD
In preview now
Inversiones Lima
Athos
SUNAT
Minsur
Feria del Hogar
Microsoft
Apega
Chemifabrik
Pestalozzi
Skynet
REP
Feria del hogar
Kunay
Plaza San Miguel
Ayllu Perú
Hudbays
Incloud
Provincia Mercedaria
Inversiones Lima
Athos
SUNAT
Minsur
Feria del Hogar
Microsoft
Apega
Chemifabrik
Pestalozzi
Skynet
REP
Feria del hogar
Kunay
Plaza San Miguel
Ayllu Perú
Hudbays
Incloud
Provincia Mercedaria
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.