#Ignite – A couple of personal highlights on Microsoft Ignite 2018

Hi!

So, the 1st day of MS Ignite is over and I’m putting all together the most interesting topics for me.

Digital transformation is how you compete and win today. It’s the path to better serve customers, build better products, and empower employees. And it’s data that is the foundational resource that allows you to transform and uncover the insights you need to drive business forward.

Adobe, Microsoft, and SAP are partnering on the Open Data Initiative to enable data to be exchanged—and enriched—across systems, making it a renewable resource that flows into intelligent applications.

With a single, comprehensive view of data, you’ll discover in real-time more about your customers, identify ways to maximize operations, and find new ways to provide the amazing experiences that your customers deserve.

And finally, Modern Workplace. I’ve been spending a lot of time on this topic. Helping clients to improve their culture around workplace, collaboration, sharing and more it’s an exciting time. Inside Avanade we have a full offering around this, we called Workplace Experience.

And I really like this article [10 new ways for everyone to achieve more in the modern workplace], specially where they talked about the new feature in Microsoft Teams: Blurred Background. (I tweeted about this a couple of days ago)

And, the following video will never became viral if this feature were available 😀

10-new-ways-for-everyone-to-achieve-more-in-the-modern-workplace-1.gif

 

Greetings @ Toronto

El Bruno

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#Ignite – Algunos puntos interesantes de Microsoft Ignite 2018

Buenas!

Pues ha pasado el 1er día de Microsoft Ignite 2018 y la verdad es que un post no da para repasar todo lo que se ha presentado. Aquí van un par de links interesantes.

Digital transformation is how you compete and win today. It’s the path to better serve customers, build better products, and empower employees. And it’s data that is the foundational resource that allows you to transform and uncover the insights you need to drive business forward.

Adobe, Microsoft, and SAP are partnering on the Open Data Initiative to enable data to be exchanged—and enriched—across systems, making it a renewable resource that flows into intelligent applications.

With a single, comprehensive view of data, you’ll discover in real-time more about your customers, identify ways to maximize operations, and find new ways to provide the amazing experiences that your customers deserve.

  • Y por último, me parece que este año también me tocara dedicar mucho tiempo a Modern Workplace. En Avanade estamos trabajando mucho en lo que llamamos Workplace Experience.

Y sobre este tema, me ha llamado la atencion en el siguiente articulo [10 new ways for everyone to achieve more in the modern workplace] la version muy especial del tweet de Blurred Background en Microsoft Teams que publique hace unos días.

Con Teams este video nunca hubiese sido viral

10-new-ways-for-everyone-to-achieve-more-in-the-modern-workplace-1.gif

 

Saludos @ Toronto

El Bruno

#Opinion – News and more news on Artificial Intelligence and we can expect in the near future

Hello!

At the beginning of this year, I participated in a meeting with the general manager of Avanade Canada at the Microsoft Technology Center, where we presented our global Vision on technologies and trends for this year. It’s named “Avanade Techvision 2017” and this year is the first time that all the topics we talked about were covered under a general theme: Artificial Intelligence.

Avanade-Tech-Vision

Over the next 5/10 years evolution in AI will impact on the way the society works. Obviously here we need to talk about topics such as creating new jobs, augmenting and optimizing existing jobs with devices like Hololens, and many other changes. In example, in the near future, thanks to artificial intelligence, we can detect signs of diabetes in our body, only using the camera of our smartphone. A photo analyzed in the device, supported by a DNN, can quickly tell us if we are at risk for diabetes. (See references)

However, an interesting detail in this aspect is that the current hardware needs to upgrade at lot to get there. Nowadays, the consumer focused hardware is the one that has to accelerate to be able to live up to it. In one hand we have big players, like specialized laboratories with enough money, and they already have special computers which give them the ability to apply AI algorithms. The big challenge is like bringing the IA to the final consumer in an affordable way. Without large data exchange costs using the cloud, and with processors which are battery efficient.

Yesterday I wrote about the new HPU processor with AI capabilities that will be incorporated in the new version of Hololens. Microsoft has already been responsible for developing the V1 of this HPU processor, and it is no wonder that this new processor, which some call “AI co-processor”, not only has applications in Hololens, but also in other devices such as smartphones, laptops and tablets.

Today I read in Wired the article “The rise of AI is forcing Google and Microsoft to become Chipmakers“, which describes the approach that Google also has about it. HPU incorporates the concept of a re-programmable chip, where for example for Hololens you can add AI capabilities for voice recognition and recognition of movements and gestures with the hands (naturally necessary in Hololens).

Another example is Google. Google works on a processor called Tensor Processor Unit. This processor also implements DNN capabilities, and has saved Google the creation of 15 Data Centers for speech-recognition-related activities. I guess, that 15 Data Centers out of the house improvement budget, should be an interesting savings for the board of directors of Google.

Note: TPU is nominated based on TensorFlow. TensorFlow is an AI system originally created by the Google Brain team and was published in open source mode a few years ago. It’s the core of a lot of Google’s internal work and is widely supported by the AI developer community.

 

And if this were not enough, the CEOs of a couple of big companies start to have some not nice words between each others on the Artificial Intelligence world. In this case it is Elon Musk (aka Tony Stark) who in tweet said that the knowledge of Mark Zuckerberg on AI is limited.

In reality, this arises because they both have two very different views on how to use and legislate artificial intelligence. Elon Musk wants to regulate the use of AI, in his words:

(AI) presents fundamental risk to the existence of human civilization.

According to Elon, you won’t have to spend much time before we see robots killing people down the street. (If you are thinking on a Terminator Rise of the Machines scenarios, you are wrong, I’ll write about this later in a new post)

Marc Zuckerberg has another completely different view, MZ says:

I’m optimistic. And I think people who oppose and try to paint these apocalyptic scenarios, I just don’t get it. It’s really negative and, in fact, somehow I think it’s pretty irresponsible.

Beyond all this, what is clear is that all the biggest Tech companies in the world are investing (one way or another) in something related to Artificial Intelligence. Every little advance that is made on the subject will affect the way we live and work.

I am almost sure that my children will not have the need to learn how to drive. In 10 years, cars will be electric and most will be autonomous. Depending on where you live, you probably don’t have the need to learn how to drive, because a car (which doesn’t have to be yours) will be the one to help you move when you need to travel from one place to another.

Scenarios like the previous one, are not far from being a reality. And what today seems to us science fiction, in a few years will be our day to day.

Greetings @ Burlington

El Bruno

References

#Opinión – Lo que invierten los grandes en Inteligencia Artificial y que podemos esperar en un futuro cercano

Hola!

A principio de este año, participe en una reunión con el General Manager de Avanade Canada en el Microsoft Technology Centre, donde presentamos la visión global de Avanade sobre tecnologías para este año. La llamamos “Avanade TechVision 2017” y este año es la primera vez que todos los tópicos sobre los que hablamos estaban englobados bajo un tema general, la Inteligencia Artificial.

Avanade-Tech-Vision

Nosotros sabemos que durante los próximos 5/10 años la evolución en este aspecto impactara en la forma en la que nos desenvolvemos en la sociedad. Obviamente aquí tocamos temas como la creación de nuevos trabajos, la especialización y optimización de trabajos existentes con dispositivos como Hololens, y muchos otros cambios más. En pocos años, y gracias a la Inteligencia Artificial, podremos detectar signos de diabetes en nuestro organismo, solamente utilizando la cámara de nuestro smartphone. Una foto analizada localmente por un proceso de DNN, nos comunicara si tenemos riesgo de padecer diabetes. (ver referencias)

Sin embargo, un detalle interesante en este aspecto es que el hardware se está quedando atrás. En realidad, el hardware de consumo es el que tiene que acelerar para poder estar a la altura. A mi entender, laboratorios especializados con el dinero suficiente, desde hace tiempo que poseen ordenadores especiales, que les brindan la capacidad de aplicar algoritmos de AI. El gran reto es como llevar la IA al consumidor final de forma barata, sin grandes gastos de datos utilizando el cloud, y con procesadores que no consuman mucha bateria.

Ayer escribí sobre el nuevo procesador HPU con capacidades de AI que se incorporara en la nueva versión de Hololens. Microsoft ya se ha encargado de desarrollar la V1 de este procesador HPU, y no es de extrañar que este nuevo procesador, al que algunos llaman “AI co-processor”, no solo tenga aplicaciones en Hololens, sino también en otros dispositivos como smartphones, laptops y tablets.

Hoy leo en Wired el artículo “The rise of AI is forcing Google and Microsoft to become Chipmakers”, donde describe el enfoque que también tiene Google al respecto. HPU incorpora el concepto de un chip reprogramable, donde por ejemplo para Hololens se pueden agregar capacidades de AI para reconocimiento de voz y reconocimiento de movimientos y gestos con las manos (naturalmente necesarios en Hololens).

Google, por su parte, trabaja en un procesador llamado Tensor Processor Unit. Este procesador también implementa capacidades de DNN, y ha ahorrado a Google la creación de 15 data centers para actividades relacionadas con el reconocimiento de voz. Supongo yo, que 15 data centers fuera del presupuesto de gastos del hogar, debe ser un ahorro interesante para el Board of Directors de Google.

Nota: TPU viene nominado en base a Tensor Flow. TensorFlow es un sistema de AI creado originalmente por el equipo de Google Brain y que fue publicado en modo Open Source hace unos años. Es el core de mucho del trabajo interno de Google y está ampliamente soportado por la comunidad de desarrolladores de AI.

Y por si esto fuera poco, los CEOs de un par de grandes empresas se comienzan a dar palos relacionados con la Inteligencia Artificial. En este caso se trata de Elon Musk (aka Tony Stark) que en tweet dijo que el conocimiento de Mark Zuckerberg sobre AI es limitado.

En realidad, esto surge porque ambos tienen 2 visiones muy diferentes respecto a cómo utilizar y legislar la inteligencia artificial. Elon Musk quiere regular la utilización de AI, en sus palabras:

(AI) presents fundamental risk to the existence of human civilization.

Según Elon, no tendrá que pasar mucho tiempo antes que veamos robots matando personas por la calle.

Marc Zuckerberg tiene otra visión completamente diferente, MZ comenta:

Soy optimista. Y creo que la gente que se opone y trata de pintar estos escenarios apocalípticos, simplemente, no lo entiendo. Es realmente negativo y, de hecho, de alguna manera pienso que es bastante irresponsable.

Mas allá de todo esto, lo que si está claro es que todos los grandes están invirtiendo (de una forma u otra) en algo relacionado con la Inteligencia Artificial. Cada pequeño avance que se haga en el tema incidirá en la forma en la que vivimos y trabajamos. Yo estoy casi seguro, que mis niños no tendrán la necesidad de aprender a conducir. Dentro de 10 años, los coches serán eléctricos y la mayoría serán autónomos. Dependiendo del sitio donde vivas, es muy probable que no tengas la necesidad de aprender a conducir, ya que un coche (que no tiene porque ser el tuyo) será el que te ayude a moverte cuando necesites viajar de un sitio a otro.

Escenarios como el anterior, no están lejos de ser una realidad. Y lo que hoy nos parece ciencia ficción, en unos años será nuestro día a día.

Saludos @ Burlington

El Bruno

References