H2O Open New York - Keynote, Sri Ambati, CEO H2O.ai

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Keynote for H2O first Community Event for AI Open Source Cancer and Open Source Health Data. - Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai - To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata

Software

What is your Company’s AI strategy?
@srisatish @h2o.ai

Data sanskrit. plural of datum.
to give. to impact with energy.
mineral rich in energy.
Transformation

2016 2022
Discover your Competition!
Code is a Commodity!
Value of Data Products
Software is eating your world!Verticals

Nurture Community love with beautiful data products!

Shift focus from internal to the external
Value from Product to Ecosystem

From: Rule-based
Applications
To: AI based
Data Products

Anecdotal
Data Driven
Team WorkRock Stars
2016
How do we incentivize Team Sport?

Data
is a
Team Sport!
Algorithms
Data
Design
Business
Apps
Domain

Platform for Data Products
Steam
Model Management.
Scoring Services Deployment.
Governance.

Data Dependencies cost more than
C0de Dependencies
Data Products need new Tools!
ML pipeline jungles. Configuration Debt
Tracing, Instrumentation
A changin’ world makes data products unstable

Best-in Class Open Source Deep Learning
DeepWater

Best-in Class Open Source Deep Learning
DeepWater
Using TensorFlow, Caffe, mxnet, H2O…
Please join our team for #unconference

Interpretation of models just as valuable as Accuracy
Visual Intelligence
Story Telling is a uniquely human endeavor.
AI has a couple of futures. Immersive Intelligence.

B U L K & S T R E A M I N G
Platform for Data
Sparkling Water

Design Patterns for Smarter Applications
Web Application / Tomcat
REST-API
Storm bolts over Kafka
Python / Java
Node.js / React
JSON / REST-API
AWS Lambda/RDS
JSON / REST-API
Standard
Data Product
Virtuous Cycle of User Interaction
Data
Product
User
Interaction
Data

Data Product and Smart Applications!
Listen Learn, not Rule
Rules
On Data
UX
Learn
From Data
Design API API
Design
API
Design
API
Design
learn
MicroServices
feedback loops
Cloud Native

Fastest Data Prep.
10 B row. Joins. Filters and Group By.
Curating Right Data.
Domain Experiences
Data Alliances and Data Products

Culture is your co-founder
Startups are team sports!

H2O team:
6% black
42% women
yes, we are hiring!
Be the Change

Inspire 10 great women CEOs from H2O.
change will come in spades.

Every generation needs to fight its revolution!

40,000 fMRI studies invalidated
due to a BUG in software.
Open Source and Data is the path

Open Source - defense of the Community with product
Its Pull not Push!
PR means Pull Request!
Freedom not Free.

Open Source Cancer Diagnostics Ecosystem.

Open Source Cancer Diagnostics Ecosystem.
Imaging. Ultrasound.
Breast and Pancreatic Cancer.
Radiologists, Oncologists, Hospitals,
Data Scientists. Engineers. World-wide.
Consumerize Data.

Open Source Cancer Diagnostics Ecosystem.
Open Source Health Diagnostics
Open Data Ecosystems.

Power law of Networks
Data
Product
User
Interaction
Data
1 idea
2 ideas
3 ideas
4 ideas
6 ideas
Infinite Ideas

partner. build ecosystems.
Raise a forest, not just a tree!

Time is the only non-renewable resource!

algorithm + data + people
= business transformation

Business Transformation Units
CTO
Design Thinker
Data Engineer
Data Scientist
DevOps & Cloud
Financial Wiz
Program Mgr
Marketing
Salesmanship
Dreamer
Domain Scientist
IRR
Business Process

H2O is movement bringing open source AI to Business.
culture of data
leads
transformation

H 2 O C O M M U N I T Y & A D O P T I O N
C O M PA N I E S
1/14 7/14 1/15 1/16
5,000
1,800
600
35
7,000
7/16

We shall not cease from exploration,
And the end of all our exploring
Will be to arrive where we started
And know the place for the first time.
T. S. Eliot said that.

I’ll let you be in my dreams if I can be in yours.
bob dylan said that.

The document discusses major trends affecting large global companies, including the rise of data and analytics, increasing natural disasters, constraints such as fragmented standards, and enabling technologies like artificial intelligence. It provides statistics on the world's largest companies and examines how they are exploring strategic opportunities around issues like supply chain resilience, data-driven business models, and developing internal resources to take advantage of artificial intelligence.

Transformation, H2O Open Dallas 2016, Keynote by Sri Ambati,

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Vertical is the New Horizontal - MinneAnalytics 2016 Sri Ambati Keynote on AI

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H2O Open Dallas 2016 keynote for Business Transformation

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The document discusses transformation through data and AI. It provides examples of transformation including from caterpillar to butterfly, engineer to founder, and darkness to light. It also discusses the life cycle of data from data to insight to story to wisdom and how data transforms processes. Throughout the document, it emphasizes that algorithms plus data and people can lead to transformation and that data and AI can enable transformation.

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Top 5 AI and Deep Learning Stories - August 3, 2018

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GTC China 2017 Highlights

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As the AI revolution gains momentum, NVIDIA founder and CEO Jensen Huang took the stage in Beijing to show the latest technology for accelerating its mass adoption. His talk — to more than 3,500 scientists, engineers and press gathered for the three-day event — kicks off a GTC world tour where, in the months, ahead we’ll bring our story to an expected live audience of some 22,000 in Munich, Tel Aviv, Taipei, Washington and Tokyo.

1. The document discusses five top stories highlighting what's hot in high performance computing (HPC) and artificial intelligence (AI). 2. The first story is about using HPC and AI to accelerate quantum chemistry simulations for faster drug discovery. 3. The second story discusses SAP using NVIDIA's Volta computing platform to power its machine learning applications, becoming the first enterprise offering to use this platform.

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Jim McHugh, NVIDIA VP and GM of Data Center, discussed how GPU computing has accelerated artificial intelligence and deep learning capabilities. GPU computing performance has increased by 1000x by 2025, growing at 1.5x per year, compared to single-threaded microprocessor performance which has grown at only 1.1x per year. GPU computing now powers major advances in artificial intelligence, driving improvements in customer service, machine learning, data visualization, and open source collaboration.

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Key Healthcare Takeaways from GTC in October

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GTC 2017: The AI Revolution

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10/21 Top 5 Deep Learning Stories

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Deep learning is the fastest growing field in artificial intelligence according to Gartner's top strategic technology trends for 2017 which ranks AI and machine learning as number one. The document then provides examples of how deep learning is accelerating innovation in various industries such as cancer research, speech recognition, and more. It promotes NVIDIA's deep learning and AI solutions to help readers learn how these technologies can impact their own business.

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1. The document discusses emerging trends in artificial intelligence and machine learning towards a driverless world. Key trends discussed include recommendation engines, facial recognition using deep learning, object and person identification using computer vision, biometrics like fingerprinting, voice assistants in homes and cars, and vehicle-to-vehicle communication technologies. 2. The document also covers applications of AI and machine learning like cognitive IoT, deep learning in healthcare for disease prediction, integrating car telematics with artificial intelligence, and machine learning platforms and techniques. 3. Overall the document provides an overview of the state of artificial intelligence and machine learning technologies and their role in enabling an emerging driverless world.

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For the full video of this presentation, please visit: http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2015-embedded-vision-summit-baidu For more information about embedded vision, please visit: http://www.embedded-vision.com Dr. Ren Wu, former distinguished scientist at Baidu's Institute of Deep Learning (IDL), presents the keynote talk, "Enabling Ubiquitous Visual Intelligence Through Deep Learning," at the May 2015 Embedded Vision Summit. Deep learning techniques have been making headlines lately in computer vision research. Using techniques inspired by the human brain, deep learning employs massive replication of simple algorithms which learn to distinguish objects through training on vast numbers of examples. Neural networks trained in this way are gaining the ability to recognize objects as accurately as humans. Some experts believe that deep learning will transform the field of vision, enabling the widespread deployment of visual intelligence in many types of systems and applications. But there are many practical problems to be solved before this goal can be reached. For example, how can we create the massive sets of real-world images required to train neural networks? And given their massive computational requirements, how can we deploy neural networks into applications like mobile and wearable devices with tight cost and power consumption constraints? In this talk, Ren shares an insider’s perspective on these and other critical questions related to the practical use of neural networks for vision, based on the pioneering work being conducted by his former team at Baidu. Note 1: Regarding the ImageNet results included in this presentation, the organizers of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) have said: “Because of the violation of the regulations of the test server, these results may not be directly comparable to results obtained and reported by other teams.” (http://www.image-net.org/challenges/LSVRC/announcement-June-2-2015) Note 2: The presenter, Ren Wu, has told the Embedded Vision Alliance that “There was some ambiguity with the rules. According to the ‘official’ interpretation of the rules, there should be no more than 52 submissions within a half year. For us, we achieved the reported results after 200 tests total within a half year. We believe there is no way to obtain any measurable gains, nor did we try to obtain any gains, from an 'extra' hundred tests as our networks have billions of parameters and are trained by tens of billions of training samples.”

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Jim Spohrer from IBM gave a talk on the future of AI. Some key points: 1) IBM is heavily involved in open source AI through its Cognitive Opentech Group and projects on GitHub. Leaderboards like SQuAD are used to measure progress. 2) The timeline for solving difficult AI problems like commonsense reasoning and learning from experience is 5-10 more years. Job and skills impacts will be felt sooner. 3) Stakeholders at all levels need to participate in and learn about open source AI to help build the future and prepare for changes. Understanding how to rapidly rebuild systems from scratch will be important.

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This Week in Data Science - Top 5 News - April 26, 2019

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Big Data & Machine Learning

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This document discusses big data and machine learning. It defines big data as large amounts of data that are analyzed by machines. It describes how data is increasingly coming from sources like smartphones, sensors, and the Internet. It also discusses how machine learning allows computers to learn from large amounts of data without being explicitly programmed, and how this is enabling automation and new applications of artificial intelligence.

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Digital twins are precise virtual representations of physical objects that use collected data from sensors to display information. They consist of a physical object, its virtual twin, and the data connection between them. By 2021, half of large industrial companies are expected to use digital twins, improving effectiveness by 10%. Digital twins have various applications and allow real-time updates, data analysis, and product optimization. However, they require constant sensor data, large datasets, and internet connectivity to achieve full accuracy.

IoT and AI Services in Healthcare | AWS Public Sector Summit 2017

Amazon Web Services

This document summarizes a presentation about using IoT and AI services from AWS in healthcare. It discusses how IoT can collect data from devices and sensors, examples of how Philips Healthcare and Emory University are using AWS IoT, and how Alexa and Amazon Lex can be used to build voice applications. It also provides a case study of how Ohio Health is using Alexa to provide health information to patients. Finally, it discusses potential ways the American Heart Association could use Amazon Lex to provide cardiovascular health information through conversational interfaces.

9/30 Top 5 Deep Learning

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Deep learning is the fastest growing field in artificial intelligence. Leaders in various industries believe that within five years, AI will transform many businesses in ways not seen since the computer revolution. Deep learning is accelerating innovation across industries and is changing lives through applications like image captioning and database analytics that are powered by GPUs to enable fast training and inference.

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An Overview of AI on the AWS Platform - February 2017 Online Tech Talks

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AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning. For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud. Learning Objectives • Learn about the breadth of AI services available on the AWS Cloud • Gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition • Understand why Amazon has selected MXNet as its deep learning framework of choice due its programmability, portability, and performance

What's hot

The Next Generation of AI and Deep Learning - GTC17

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Top 5 Deep Learning and AI Stories - August 30, 2019

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HPC Top 5 Stories: October 13, 2017

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Top 5 Deep Learning 12/8

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This document provides an introduction to cognitive solutions and how they are enhancing the way we live and work. It discusses how cognitive solutions like IBM's Watson are transforming industries by allowing more effective processing and understanding of data, including types of data like natural language, images and sound. The document includes examples of how cognitive solutions are being applied in areas like personal health, education toys, and how they can provide benefits to small and large businesses through expertise retention, agility and insights.

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18. Interpretation of models just as valuable as Accuracy Visual Intelligence Story Telling is a uniquely human endeavor. AI has a couple of futures. Immersive Intelligence.

19. B U L K & S T R E A M I N G Platform for Data Sparkling Water

20. Design Patterns for Smarter Applications Web Application / Tomcat REST-API Storm bolts over Kafka Python / Java Node.js / React JSON / REST-API AWS Lambda/RDS JSON / REST-API Standard Data Product Virtuous Cycle of User Interaction Data Product User Interaction Data

21. Data Product and Smart Applications! Listen Learn, not Rule Rules On Data UX Learn From Data Design API API Design API Design API Design learn MicroServices feedback loops Cloud Native

22. Data is the new Clay!

23. Fastest Data Prep. 10 B row. Joins. Filters and Group By. Curating Right Data. Domain Experiences Data Alliances and Data Products

24. Culture is your co-founder Startups are team sports!

25. H2O team: 6% black 42% women yes, we are hiring! Be the Change

26. Why make one CEO when you can make 10?

27. Inspire 10 great women CEOs from H2O. change will come in spades.

28. Every generation needs to fight its revolution!

29. 40,000 fMRI studies invalidated due to a BUG in software. Open Source and Data is the path

30. Open Source - defense of the Community with product Its Pull not Push! PR means Pull Request! Freedom not Free.

31.

32. Open Source Cancer Diagnostics Ecosystem.

33. Open Source Cancer Diagnostics Ecosystem. Imaging. Ultrasound. Breast and Pancreatic Cancer. Radiologists, Oncologists, Hospitals, Data Scientists. Engineers. World-wide. Consumerize Data.

34. Open Source Cancer Diagnostics Ecosystem. Open Source Health Diagnostics Open Data Ecosystems.

35. Power law of Networks Data Product User Interaction Data 1 idea 2 ideas 3 ideas 4 ideas 6 ideas Infinite Ideas

36.

37. partner. build ecosystems. Raise a forest, not just a tree!

38. Time is the only non-renewable resource!

39. algorithm + data = business

40. algorithm + data + people = business transformation

41. Business Transformation Units CTO Design Thinker Data Engineer Data Scientist DevOps & Cloud Financial Wiz Program Mgr Marketing Salesmanship Dreamer Domain Scientist IRR Business Process

42.

43. H2O is movement bringing open source AI to Business. culture of data leads transformation

44. H 2 O C O M M U N I T Y & A D O P T I O N C O M PA N I E S 1/14 7/14 1/15 1/16 5,000 1,800 600 35 7,000 7/16

45. We’re hiring!

46. THANK YOU

47. Data sanskrit. plural of datum. to give. to impact with energy. mineral rich in energy. Transformation

48. We shall not cease from exploration, And the end of all our exploring Will be to arrive where we started And know the place for the first time. T. S. Eliot said that.

49. I’ll let you be in my dreams if I can be in yours. bob dylan said that.

Editor's Notes

Logos that are using and not paying yet. Investing in Sales & Marketing.

H2O Open New York - Keynote, Sri Ambati, CEO H2O.ai

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Editor's Notes