H2O.ai and IBM build a Strategic Partnership to bring AI innovation to the market together

Excited to announce our strategic partnership with IBM that allows them to resell and take to market H2O Driverless AI to businesses worldwide. This partnership makes AI economical – faster, cheaper and easier to do experiments. H2O Driverless AI and IBM POWER9 GPU Systems are bringing together the best of breed AI innovation. We have been working with IBM to port Driverless AI, our latest product that addresses the skills gap in data science and trust in AI, to IBM Power Systems. The combination delivers 5X performance for workloads including the new time series in Driverless AI. Please check out the blog by Sumit Gupta, VP of AI, Machine Learning and HPC at IBM Cognitive Systems, for more details on the partnership.

Outstanding performance on IBM POWER9

HPC is the new PC. To handle the increasingly complex workloads of AI you need an integrated system of software and hardware that is fully optimized for each other. H2O Driverless AI on IBM POWER9 delivers precisely that. IBM POWER9 supports nearly 2.6x more RAM, 9.5x more I/O bandwidth than comparable systems. It can also support upto 6 V100 GPUs on a single system. Driverless AI is built on top of datatable for python for data ingest and feature engineering and H2O4GPU for machine learning. We’ve been able to get nearly 2X the data ingest speed and over 50% faster feature engineering. In addition, with the power of GPU accelerated machine learning we’re able to deliver nearly 30X speedup on model building. Overall, we’ve been able to accelerate Driverless AI by up to 10X for IID data and up to 5X for time series data.

The Power of IBM and H2O.ai Solves Customer Challenges

AI will transform businesses as we know it. Companies will leverage AI across multiple business units and establish centers of excellence for AI. From asset price forecasting in capital markets, to supply chain optimization in manufacturing, to personalized insurance policies, no walk of business will be immune to pressures to democratize decision making with AI. IBM and H2O.ai will build the trusted hardware / software co-design needed for enterprises to make that transition. The winners of this partnership are our customers and their stories will be replicated across the ecosystem.

this will be fun, Sri

Democratize care with AI — AI to do AI for Healthcare

Very excited to have Prashant Natarajan (@natarpr) join us along with Sanjay Joshi on our vision to change the world of healthcare with AI. Health is wealth. And one worth saving the most. They bring invaluable domain knowledge and context to our cause.

As one of our customers would like to say, Healthcare should be optimized for health and outcomes for the ones in need of care. Health / Care, as in, Health divided by Care, how healthy can one be with least amount of care! We are investing in health because it is the right thing to do over the long term — especially with the convergence of Finance, Life Insurance, Retail towards Health. So many opportunities for cross-pollination!

With our strong ecosystem, community and customers’ support, h2o.ai will democratize care with AI — make it faster, cheaper and easier — accessible to all. Machine Learning touches lives — with Domain Scientists on our side, we can accelerate change to the problems that are in the most need. We are fortunate to have the team and culture that allows us to bring great products with high velocity to the marketplace. Stay tuned for Driverless AI for Health, one micro service AI model at a time!

As you feel inspired by the immense opportunities to serve humanity — please join Prashant Natarajan and www.h2o.ai community on our mission!

this will be fun! Sri

Congratulations – H2O is a leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Congratulations – Thanks to the support of our customer community over the past years, H2O.ai is a leader and one with the most completeness of vision in Gartner Magic Quadrant for Data Science and Machine Learning Platforms. It is an ecosystem we dedicated a good part of this decade to open up and spring. This is testimony to the incredibly community-centric maker culture of team H2O in our relentless support of our customers with beautiful intelligent products. Our partnership with NVIDIA and IBM helped bring GPUs to Machine Learning this past year. Our work with Azure, AWS and Google Cloud to make it easy to try, train and deploy AI. Automation of AI pipelines with AI in DriverlessAI will help maximize extremely scarce data science talent and bring it to many more enterprises. We will make it cheaper, faster and easier to experiment and build AI products. This is fast moving AI space with tectonic shifts and very high product innovation from great players – even we are only getting started. We seek your partnership to further transform your problems and verticals with AI to build solutions together.

From the first to our latest investors, our amazing team members: past, present, new and future ones and supportive families; our community of data scientists who attended the first and recent meetups to spread the word, believers and our customers who backed our vision and execution – Each and every one of you are part of this incredibly fun journey. Thank you. Gratitude is the word that comes to mind. Your support inspires us to do great things, in the pursuit of magic! (and magic quadrants) 🙂

this will be fun, Sri

Happy Holidays from H2O.ai

Dear Community,

Your intelligence, support and love have been the strength behind an incredible year of growth, product innovation, partnerships, investments and customer wins for H2O and AI in 2017. Thank you for answering our rallying call to democratize AI with our maker culture.

Our mission to make AI ubiquitous is still fresh as dawn and our creativity new as spring. We are only getting started, learning, rising from each fall. H2O and Driverless AI are just the beginnings.

As we look into 2018, we see prolific innovation to make AI accessible to everyone. Simplicity that opens scale. Our focus on making experiments faster, easier and cheaper. We are so happy that you will be the center of our journey. We look forward to delivering many more magical customer experiences.

On behalf of the team and management at H2O, I wish you all a wonderful holiday: deep meaningful time spent with yourself and your loved ones and to come back refreshed for a winning 2018!

Gratitude for your partnership in our beautiful journey – it’s just begun!

this will be fun,


Sri Ambati
CEO & Co-Founder

P.S. #H2OWorld was an amazing experience. I invite you to watch the keynote and more than 40 talks and conversations.

The Race for Intelligence: How AI is Eating Hardware – Towards an AI-defined hardware world

With the AI arms race reaching a fever pitch, every data-driven company is (or at least should be) evaluating its approach to AI as a means to make their owned datasets as powerful as they can possibly be. In fact, any business that’s not currently thinking about how AI can transform its operations risks falling behind its competitors and missing out on new business opportunities entirely. AI is becoming a requirement. It’s no longer a “nice to have.”

It’s no secret that AI is hot right now. But the sudden surge in its popularity, both in business and the greater tech zeitgeist, is no coincidence. Until recently, the hardware required to compute and process immense complex datasets just didn’t exist. Hardware, until now, has always dictated what software was capable of — in other words, hardware influenced software design.

Not anymore.

The emergence of graphic processing units (GPUs) has fundamentally changed how people think about data. AI is data hungry — the more data you feed your AI, the better it can perform. But this obviously presents computational requirements, namely, substantial memory (storage) and processing power. Today’s GPUs are 100x faster than CPUs, making analysis of massive data sets possible. Now that GPUs are able to process this scale of data, the potential for AI applications are virtually limitless. Previously, the demands of hardware influenced software design. Today, the opposite is true: AI is influencing how hardware is designed and built.

Here are the three macro-level trends enabling AI to eat hardware:

1.) AI is Eating Software

The old paradigm that business intelligence software relies upon rule-based engines no longer applies. Instead, the model has evolved to the point where artificial intelligence software now relies upon statistical data training, or machine learning. As statistical data training grows up, it’s feasting on rules-based engines. However, this transformation requires an immense amount of data to train the cognitive function, and AI is influencing the design of hardware to facilitate the training. AI is not only influencing hardware design, as evidenced by the rise of GPUs, but also eating the traditional rules-based software that has long been the hallmark of business intelligence.

What does this mean in practical terms? It means businesses can now use AI to address specific problems, and in a sense “manufacture” intelligence. For example, creating a human doctor involves roughly 30 years of training, from a child’s birth to when he or she has completed her residency and gets their first job. But with AI, we can now create a “doctor” without 30 years of training. On a single chip, encoded with AI, a self-learning “doctor” can be trained in 11 days with petabytes of data. Not only that, you can install this “doctor” into a million places by replicating that chip, so long as there’s a device and connectivity.

This may be an extreme example, but it illustrates just how quickly AI is advancing our ability to understand from data.

2.) The Edge is Becoming More Intelligent

Another major trend supporting AI’s influence over hardware is the democratization of intelligence. In the 1980s, mainframes were the only devices powerful enough to handle large datasets. At the time, nobody could have possibly imagined that an invention like the personal computer would come along and give the computing power of a mainframe to the masses.

Fast forward 30 years later, history is repeating itself. The Internet of Things is making it possible for intelligence to be distributed even further from centralized mainframes, to literally any connected device. Today, tiny sensors have computing power comparable to that of a PC, meaning there will be many more different types of devices that can process data. Soon, IoT devices of all sizes will be much more powerful than the smartphone.

This means that intelligence is headed to the edge, away from big, centralized systems like a mainframe. The cloud enables connection between edge and center, so with really smart devices on the edge, information can travel rapidly between any number of devices.

3.) Everything is Dataware

AI constantly seeks data, and business intelligence is actionable only when the AI has a steady diet of data. Thanks to the hardware movement and the shift of intelligence to the edge, there are more points of data collection than ever. However, the hardware movement is not just about collecting and storing data, but rather continuously learning from data and monetizing those insights. In the future, power is at the edge, and over time, the power of the individual device will increase. As those devices continue to process data, the monetization of that data will continue to make the edge more powerful.

AI presents us with a distributed view of the world. Because data is being analyzed on the edge and continuously learning, knowledge is not only increasing at the edge, but flowing back to the center too. Everything is now dataware.

As the demands for data processing power increase across businesses, AI is transforming how enterprises shape their entire data strategy. Software is changing as a result. Gone are the days where rules-based computing is sufficient to analyze the magnitude of available data. Statistical data training is required to handle the load. But CPUs can only handle a fraction of the demand, so the demands of AI are influencing the way that hardware is designed. As hardware becomes more ubiquitous via IoT, intelligence and data are moving to the edge and the balance of power is shifting to the masses.

Focus

———- Forwarded message ———
From: SriSatish Ambati
Date: Thu, Sep 15, 2016 at 10:17 PM
Subject: changes and all hands tomorrow.
To: team

Team,

Our focus has changed towards larger fewer deals & deeper engagements with handful of finance and insurance customers.

We took a hard look at our marketing spend, pr programs and personnel. We let go most of our amazing inside sales talent. And two of our account executives. We are not building a vertical in IOT. In all nine business folks were affected. No further changes are anticipated or necessary.

These were heroic partners in our journey. I spoke to most all of them today to personally convey the message. Some were with me for a short time, many for years – all great humans who diligently served me and h2o well. I’m grateful for their support and partnership towards my vision. I learnt a lot from each one of them and will not hesitate to assist them any ways possible personally.

Thank you. heroes in bcc. may you find fulfillment & love in your path. It’s a small world and we will all meet very soon.

Our goal as a startup is to get to the most optimal business unit before nurturing and scaling it for growth. We will work tirelessly to get us to that state.

thank you for your partnership, Sri


culture . code . customer
c o m m u n i t y, h2o.ai,

Thank you, Cliff

Cliff resigned from the Company last week – He is parting on good terms and supports our success in future. Cliff and I worked closely since 2004 so this is a loss for me. It ends an era of prolific work supporting my vision as a partner.

Let’s take this opportunity to congratulate Cliff on his work, in helping me build something from nothing. Millions of little things we did together to get us this far. (Still remember the uHaul trip with earliest furniture in old building and cliff cranking out code furiously running on Taco Bell & Fiesta Del Mar.) A lot of how I built the Company has to do with maximizing partnering with Cliff. Lots of wins came out of that and we’ll cherish them. Like all good things it came to an end. I only wish him the very best in the future.

Over the past four years, Cliff and the rest of you have helped me build an amazing technology, business, customer and investor team. Your creativity, passion, loyalty, spirited work, grit & determination are the pillars of support and wellspring of life for the Company. I’ll look for strong partners in each one of you as we pick up and continue on building the tremendous opportunity for changing the world with innovation. It’s an amazing responsibility we have been given.

Change is a constant in the life of a startup. While this hurts now, many Companies before us have overcome them and transitioned smoothly into the next phase. And we shall become stronger from the change and build even more vibrant community and culture of sharing & participation.

We have an amazing team loyal to the Company, the fullest support of our Community of Customers. And a will to survive & win that will help H2O metamorphose into the next stage in the natural evolution for the Company.
This will be beautiful when built.

Thank you for your company –
in the journey to transform the world, Sri