This document discusses Microsoft's approach to artificial intelligence (AI) and democratizing it. It outlines Microsoft's strategy to develop AI agents, applications, services, and infrastructure. The goal is to harness AI to change how people interact with technology and infuse intelligence into every application. Microsoft aims to make powerful AI capabilities available to all developers to solve challenges and create new experiences through human-machine collaboration.
2. Consultant, Slalom Consulting
Pursuing MS in Computer Science with a Specialization in Interactive Intelligence
BS in Computer Science with an Area of Emphasis in Artificial Intelligence
BA in Cognitive Science with a Focused Foundation in Artificial Intelligence
www.paulprae.com
@Praeducer
3.
4.
5. “As we think about the
future of technology, it resides
in the notion of intelligence. At
Microsoft, we have an approach
that’s both ambitious and
broad, an approach that seeks
to democratize Artificial
Intelligence (AI), to take it
from the ivory towers and
make it accessible for all.”
9. In the midst of this abundance of
information, we’re still constrained by our human
capacity to absorb it.
The question is, how can we use all we have
in terms of computational power to make better
sense of the world?
That’s the essence of what AI is.
10. “Our approach to this fundamental shift is to
democratize AI and to make it accessible and
valuable to everyone. We’re focused on building
an AI stack spanning infrastructure, services, apps
and agents and reaching key customer audiences
— consumers, enterprises, developers.”
11. Augment Human Abilities and Experiences:
• Humans and machines as teams
Trustworthy:
• Transparent, private, compliant, secure
Respectful and Inclusive:
• Bring out the best of humanity
• Seek to unite and include everyone
12. “When Bill Gates created Microsoft
Research 25 years ago, some of the very
first work focused on AI, including speech,
natural language and computer vision.
Since that time, we’ve continued to invest
in AI research, pushing the boundaries of
AI. This work feeds into so many of our
products.”
Harry Shum - Executive Vice President,
Microsoft AI and Research Group
15. We are at the cusp of the intelligence
revolution today. When the steam engine
was first invented more than 200 years
ago, nobody knew that it would herald the
industrial revolution. Today, the cloud
and the intelligence platforms you’re
seeing on the cloud, be it from Microsoft
or others, represent the “steam engine” of
our intelligent future.
16.
17.
18. “The cloud is truly becoming the ‘brain’
for our connected planet. By bringing data
into the cloud, you can integrate all of the
information, apply ML and AI on top of
that, and deliver apps that are
continuously learning and evolving in the
cloud.” – Dr. Joseph Sirosh
22. “We’re taking a four-
pronged approach to how we
think about Microsoft AI and how
we pursue this bold ambition to
democratize AI for all. It’s agents,
applications, services, and
infrastructure.”
The Strategy
23.
24. “We’re going to harness artificial
intelligence to fundamentally change how
we interact with the ambient computing,
the agents, in our lives.”
It’s agents
27. “We’re going to infuse every application
that we interact with, on any device, at any
point in time, with intelligence.”
It’s applications
28.
29.
30. “We’ll make these same intelligent
capabilities that are infused in our own
apps — the cognitive capabilities —
available to every application developer in
the world.”
It’s services
31.
32. “We’re building the world’s most powerful
AI supercomputer and making it available
to anyone, via the cloud, to enable all to
harness its power and tackle AI
challenges, large and small.”
It’s infrastructure
33.
34. It’s not just about celebrating new
technology, it’s about the human ingenuity
and human passion being brought
together with amazing new technology to
go and tackle some of the fundamental
challenges of humanity.
35. “Today, we are only
scratching the surface of what
AI can help us accomplish.
Ultimately, we believe
humans and machines will
work together to solve
society’s greatest challenges,
to create magical experiences
and change the world.”
38. Consultant, Slalom Consulting
Pursuing MS in Computer Science with a Specialization in Interactive Intelligence
BS in Computer Science with an Area of Emphasis in Artificial Intelligence
BA in Cognitive Science with a Focused Foundation in Artificial Intelligence
www.paulprae.com
@Praeducer
Notas do Editor
Today, I’m going to walkthrough Microsoft’s AI strategy and how it will impact us as organizations, developers, and consumers.
I love AI.
I’m currently taking courses at Georgia Tech in pursuit of the OMSCS. My AI studies began about 8 years ago at UGA.
I recently attended Microsoft Ignite and the Data Science and Machine Learning Summit. And Satya certainly did answer, “What’s next in tech?”
What’s next in tech? Well according to Satya Nadella: Artificial Intelligence. Satya Nadella, the CEO of Microsoft, framed his entire Innovation Keynote around AI.
Image: http://news.microsoft.com/features/democratizing-ai/#sm.00000m3p4fmfl1e0bznn1xl9z26it#fpmWezjp3vR836Hq.97
This is what his entire keynote was framed around: Democratizing AI. Putting AI in the hands of everyone, everywhere. Reminiscent of Microsoft’s original vision.
“We talked about a computer on every desk and in every home.” – Bill Gates
http://www.telegraph.co.uk/technology/3357701/Bill-Gatess-dream-A-computer-in-every-home.html
And this is just in Europe. I hardly ever hear about numbers that big from that long ago.
“Let’s consider the beginning of the modern era of information. With the advent of the printing press in the 1400s we have an explosion of information — the first democratizing event around access that made it possible for humans everywhere to start learning.”
http://news.microsoft.com/features/democratizing-ai/#sm.00000m3p4fmfl1e0bznn1xl9z26it#fpmWezjp3vR836Hq.97
Image: https://commons.wikimedia.org/wiki/File:European_Output_of_Printed_Books_ca._1450%E2%80%931800.png
“Access to information has only spread from there. Every walk of life has changed because of our ability to create knowledge and distribute knowledge.”
Now we get numbers like that everyday. And this is actually from 2010! And they’re growing exponentially. Updated numbers:
+ 2,311 Skype calls every second
+ 7,378 Tweets sent every second
+ 38,812 GB of Internet traffic every second
+ 56,765 Google searches every second
+ 133,401 YouTube videos viewed every second
+ 2,531,937 Emails sent every second (now that’s some Office 365 data to play with!)
http://www.internetlivestats.com/one-second/
Despite all of this data, “one thing has remained constant and scarce: time.”
http://news.microsoft.com/features/democratizing-ai/#sm.00000m3p4fmfl1e0bznn1xl9z26it#fpmWezjp3vR836Hq.97
Image: https://www.good.is/infographics/the-world-of-data-we-re-creating-on-the-internet
Despite all of this data, “one thing has remained constant and scarce: time.”
Problem: Too much data, too little time.
http://news.microsoft.com/features/democratizing-ai/#sm.00000m3p4fmfl1e0bznn1xl9z26it#fpmWezjp3vR836Hq.97
Image: https://cdn.vectorstock.com/i/composite/78,49/black-wall-clock-vector-657849.jpg
Solution: AI
“It’s about helping everyone achieve more — humans and machines working together to make the world a better place.”
http://news.microsoft.com/features/democratizing-ai/#sm.00000m3p4fmfl1e0bznn1xl9z26it#fpmWezjp3vR836Hq.97
I wanted to take a step back and look at AI from Microsoft Research’s perspective on AI.
I like this because of it’s focus on human-machine collaboration. Similarly, to the original purpose of many of the tools within Office 365 and SharePoint, it’s not just about more effective collaboration with the people in an organization but also how effectively those people collaborate with machines.
Text: https://www.microsoft.com/en-us/research/video/edge-artificial-intelligence-welcome-ai-perspectives-microsoft/
Microsoft has been working towards this for 25 years. It’s part of so many products and the technology is being exposed so people can build intelligent systems too.
Text: http://blogs.microsoft.com/blog/2016/09/29/the-next-milestone-in-microsofts-journey/#FwGWXOcap0HR2DMp.99
Image: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/05/MSR_FacultySummit2016-Banner-Desktop-1920x720_2.jpg
Even innovation can be exponential.
Text: https://www.microsoft.com/en-us/research/event/faculty-summit-2016/
Image: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/05/Faculty-Summit-Day-2-007.jpg
“The Intelligent Revolution is truly beginning.” ~ Satya Nadella
This was the theme at the Data Science and Machine Learning Summit, which was during the first two days of Ignite.
Text: http://news.microsoft.com/features/democratizing-ai/#sm.00000m3p4fmfl1e0bznn1xl9z26it#fpmWezjp3vR836Hq.97
The days were packed with talks about AI and related topics. Of particular focus was AI in the cloud.
I was lucky enough to attend, with Slalom’s support and the fact that I convinced Microsoft to get me a free pass. I exchanged my regular Ignite days.
Image: https://msdnshared.blob.core.windows.net/media/2016/07/072716_0730_RegisterNow1.png
Dr. Joseph Sirosh gave the Keynote at the Data Science and Machine Learning Summit. He’s the Corporate Vice President of the Data Group at Microsoft.
Image: https://channel9.msdn.com/Events/Machine-Learning-and-Data-Sciences-Conference/Data-Science-Summit-2016/K001
That Summit was a data science nerds dream. Especially one like me that loves the Microsoft ecosystem so much. Dr. Sirosh and many of the other speakers did a deep dive into these innovations.
Everything you see here is packaged up into what Microsoft calls the Cortana Intelligence Suite.
Image: https://msdnshared.blob.core.windows.net/media/2016/10/100516_1927_MicrosoftMa2.png
As a fully managed big data and advanced analytics suite, Cortana Intelligence is a powerful solution to transform your data into intelligent action.
This Suite exposes many of the same technologies Microsoft uses to create intelligence in the tools we use everyday.
https://www.microsoft.com/en-us/cloud-platform/what-is-cortana-intelligence-suite
Here are the products that make up the Cortana Intelligence Suite. They have a lot going on! The suite covers data management, big data, machine learning, cognitive computing, and data visualization.
+ Orchestrate data movement on a fully managed, end-to-end platform.
+ Design and publish predictive models with Azure Machine Learning, use Azure HDInsight to analyze data in Storm and Spark for Hadoop environments, integrate your code from R or Python, and analyze any kind or any size of data you need with Azure Data Lake Analytics and Azure Stream Analytics. Plus, use Microsoft Power BI to create rich visualizations that bring your data to life.
+ Explore Cognitive Services and learn how to enable natural and contextual interactions in your apps.
https://www.microsoft.com/en-us/cloud-platform/what-is-cortana-intelligence-suite
What are agents? They’re Intelligent Bots, or Intelligent Conversations-as-a-Platform. Conversational platforms are the next frontier in human interaction models – rather than having hundreds of apps on your phone with which you interact for different things, you just go to one single conversational platform of your choice and talk to agents or bots that live in that platform. You can design bots for customer service or shopping or arbitrary other services that you need to deliver.
Text: https://blogs.technet.microsoft.com/machinelearning/2016/10/05/microsoft-machine-learning-data-science-summit-and-ignite-recap/
Image: https://www.windowscentral.com/sites/wpcentral.com/files/styles/larger/public/field/image/2016/03/conversations-as-a-platform.jpg?itok=sfS8NaSh
https://www.projectmurphy.net/
What if the presidential candidates were Disney princesses?
Was anyone at Ian’s talk at this meetup a couple months ago? He gave a great overview of the Microsoft Graph.
When it comes down to building applications, the data is key and this set of data is glorious. So many possible applications with all that data.
Things like you see Office Delve doing are only some examples of what’s possible. There are plenty more custom solutions you can build on top of the same data.
“In Office 365, My Analytics is like a fitness tracker for your workday, showing how you’re spending your time informed by the Microsoft Graph and powered by AI.”
https://news.microsoft.com/features/democratizing-ai/
Image: https://cdn-mspoweruser.netdna-ssl.com/wp-content/uploads/2016/09/MYANALYTICS_FINAL.gif
Like IBM, Microsoft is also a part of the Cognitive Era. Instead of Watson Services, Microsoft has the Cognitive Services to drive Cognitive Computing or Intelligent Applications.
These can be used to build human-like AI into your apps. So many options! Recommendations API is a big part of Delve and is a good service to apply to collaboration problems.
Demo: https://www.microsoft.com/cognitive-services
Emotion API with presidential candidate’s pictures:
Everyone’s worst nightmare https://i.imgflip.com/zjag1.jpg
Donald Clinton http://cdn.ebaumsworld.com/mediaFiles/picture/202553/85145592.jpg
Who survives? America https://img1.steemit.com/0x0/http://scalar.usc.edu/works/memes-1/media/trump:clinton%20meme.jpg
“Today we have a global, hyperscale, cloud infrastructure that we continue to improve across many dimensions – performance, scale and increasing richness and sophistication of higher level services to enable scenarios that simply were not possible before. We’ve added GPUs to that cloud to deliver the highest performance cloud available.
All of that is available today at unprecedented scale. But we’re not stopping there. Azure is now the world’s first AI supercomputer. Put another way, we’re looking post-Moore’s-Law — and solving for the issue of Moore’s Law running out of steam. ”
Microsoft helped progress the hardware. CPU’s were optimized for bitwise operations and basic math. GPU’s then were optimized for linear algebra problems, common in image and video processing so that’s why we use them for graphics. The next-level is FPGA, which allows us to manipulate the hardware so it is optimized for custom operations. https://en.wikipedia.org/wiki/Field-programmable_gate_array
“By adding this super AI technology to the cloud, we can do amazing things. Consider translation as one example. Using just a single node of our FPGA fabric we can translate War and Peace, all 1440 pages, from Russian to English in just two and a half seconds.
If we take the entire capability today, the AI supercomputer can translate all of Wikipedia— which printed and stacked on end would stand a quarter mile high — in less than one tenth of a second, less time than it takes you to blink once.
The same set of FPGA nodes on our fabric could also translate the Library of Congress, about 38 million books, in 76 seconds — about the time it takes you to walk and get a cup of coffee at work.” – Satya
http://news.microsoft.com/features/democratizing-ai/
This is the concept of augmented or extended intelligence. We are humans collaborating with machines, allowing us to do more, better, faster.
https://news.microsoft.com/speeches/satya-nadella-microsoft-ignite-2016
http://news.microsoft.com/features/democratizing-ai/#5t3OAVLgAEsIcJAV.99
There are many intelligent tools already available to all of us out there. Microsoft is doing their part to build intelligent apps and services for us. These are only a small sample of what is ahead.
There are many new applications and systems left for us to build!
https://news.microsoft.com/speeches/satya-nadella-microsoft-ignite-2016
http://news.microsoft.com/features/democratizing-ai/#5t3OAVLgAEsIcJAV.99