Welcome!

News Feed Item

H2O.ai Advances H2O Driverless AI with New Time Series Innovation

New Time Series, Automatic Documentation and Automatic Pipeline Features Enable Better AI Models and Predictive Capabilities for Customers

NEW YORK, June 7, 2018 /PRNewswire/ -- H2O World 2018 – H2O.ai, the open source leader in AI, today announced a new release of its award-winning automated machine learning platform H2O Driverless AI, with key enhancements that will enable organizations to expand their current AI strategy and improve accuracy of predictive datasets. The latest innovations in Driverless AI include time series support aimed at improving predictions within transactional datasets and auto documentation, as well as updated AutoViz, Machine Learning Interpretability (MLI) and Automatic Pipelines.

H2O.ai Logo (PRNewsfoto/H2O.ai)

With the time series capability in Driverless AI, H2O.ai directly addresses some of the most pressing concerns of organizations across industries for use cases such as transactional data in capital markets, tracking in-store and online sales in retail, and using sensor data to improve supply chain or predictive maintenance in manufacturing.

"Time series is all-pervasive. It is not only one of the fastest growing classes of data but also one particularly well-suited for machine learning. Our latest recipes in Driverless AI automate predictions on time series for demand and inventory forecasting for retail stores, tick level predictions in capital markets and electronic trading, greener manufacturing by optimizing supply chains and securing our world with sensor data from IoT," said Sri Ambati, CEO and founder at H2O.ai. "Our mission to democratize machine learning – to make it accessible to every enterprise unable to access the highly sought after talent in data science – is one step closer."

Time Series Helps Forecast Sales, Predict Industrial Machine Failure and More
Driverless AI's time series feature is ideal for transaction, log and sensor data. Some of the key advantages include the ability to:

  • Optimize for almost any prediction time window, whether that be for the next day or the next week
  • Incorporate data from numerous predictors, rather than focusing solely on past time series data
  • Handle gaps in time series data input without negatively impacting predictive modeling
  • Handle missing values, structured character data and high-cardinality categorical variables
  • Generate predictions for both numeric and classification problems

In addition to the new time series support, H2O.ai has also added the following to H2O Driverless AI:

  • AutoDoc is an early-release feature of Driverless AI which generates a document describing the unique experiment pipeline chosen by Driverless AI and the user settings. The report provides insight into the training data and any detected shifts in distribution, the validation schema selected, model parameter tuning, feature evolution and the final set of features chosen during the experiment.
  • Expanded AutoViz capabilities with additional charts and visualizations that enable data scientists to preview and examine a broader range of data sets
  • Automatic Pipeline generation that provides the code needed to deploy scored models in applications on any device
  • data.table for Python is the data munging engine for Driverless AI and is H2O's new project based on the popular open source project in R, data.table. It brings the same features to the growing Python community and enables Python users to benefit from data.table's high performance, superior data processing capabilities, and big data support

H2O Driverless AI empowers data scientists or data analysts to work on projects faster and more efficiently by using automation and state-of-the-art computing power to accomplish tasks that can take humans months in just minutes or hours by delivering automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time-series and automatic pipeline generation for model scoring.

Also today, H2O.ai announced a strategic global partnership with IBM, focused on combining IBM Power Systems and H2O Driverless AI to address the AI demands of enterprises. Read more about this partnership and joint solution: https://www.h2o.ai/company/news/IBM-and-H2Oai-partnership-aims-to-accelerate-adoption-of-ai-in-the-enterprise

From the Source: Live Stream of H2O World NYC
H2O.ai is fostering a grassroots movement of systems engineers, data scientists, data developers and predictive analysts to move machine learning forward. Today the company will be hosting the first of its 2018 H2O World conferences in New York City at the New York Hilton Midtown. The event was recently moved after demand from attendees far exceeded the capacity of the original venue.

The entire event will be live streamed starting at 9:00am ET. You can follow the day-of livestream here: https://www.h2o.ai

Connect with H2O.ai

About H2O.ai
H2O.ai is the open source leader in AI. Its mission is to democratize AI for all. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 14,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing. H2O.ai recently launched Driverless AI that uses AI to do AI in order to provide an easier, faster and effective means of implementing data science. In February 2018, Gartner named H2O.ai, as a Leader in the 2018 Magic Quadrant for Data Science and Machine Learning Platforms. H2O.ai partners with leading technology companies such as NVIDIA, IBM, AWS, Azure and Google and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and PayPal. For more information and to learn more about how H2O.ai is transforming business processes with intelligence, visit www.h2o.ai.

Media Contact:
Erika Kamholz
[email protected]
949-282-8560

 

Cision View original content with multimedia:http://www.prnewswire.com/news-releases/h2oai-advances-h2o-driverless-ai-with-new-time-series-innovation-300661413.html

SOURCE H2O.ai

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
SYS-CON Events announced today that Silicon India has been named “Media Sponsor” of SYS-CON's 21st International Cloud Expo, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Published in Silicon Valley, Silicon India magazine is the premiere platform for CIOs to discuss their innovative enterprise solutions and allows IT vendors to learn about new solutions that can help grow their business.
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
In this presentation, you will learn first hand what works and what doesn't while architecting and deploying OpenStack. Some of the topics will include:- best practices for creating repeatable deployments of OpenStack- multi-site considerations- how to customize OpenStack to integrate with your existing systems and security best practices.
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Transformation Abstract Encryption and privacy in the cloud is a daunting yet essential task for both security practitioners and application developers, especially as applications continue moving to the cloud at an exponential rate. What are some best practices and processes for enterprises to follow that balance both security and ease of use requirements? What technologies are available to empower enterprises with code, data and key protection from cloud providers, system administrators, inside...
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventi...
In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, discussed how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He also discussed how flexible automation is the key to effectively bridging and seamlessly coordinating both IT and developer needs for component orchestration across disparate clouds – an increasingly important requirement at today’s multi-cloud enterprise.
You want to start your DevOps journey but where do you begin? Do you say DevOps loudly 5 times while looking in the mirror and it suddenly appears? Do you hire someone? Do you upskill your existing team? Here are some tips to help support your DevOps transformation. Conor Delanbanque has been involved with building & scaling teams in the DevOps space globally. He is the Head of DevOps Practice at MThree Consulting, a global technology consultancy. Conor founded the Future of DevOps Thought Leade...
Security, data privacy, reliability and regulatory compliance are critical factors when evaluating whether to move business applications from in-house client hosted environments to a cloud platform. In her session at 18th Cloud Expo, Vandana Viswanathan, Associate Director at Cognizant, In this session, will provide an orientation to the five stages required to implement a cloud hosted solution validation strategy.
"Calligo is a cloud service provider with data privacy at the heart of what we do. We are a typical Infrastructure as a Service cloud provider but it's been designed around data privacy," explained Julian Box, CEO and co-founder of Calligo, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Jo Peterson is VP of Cloud Services for Clarify360, a boutique sourcing and benchmarking consultancy focused on transforming technology into business advantage. Clarify360 provides custom, end-to-end solutions from a portfolio of more than 170 suppliers globally. As an engineer, Jo sources net new technology footprints, and is an expert at optimizing and benchmarking existing environments focusing on Cloud Enablement and Optimization. She and her team work with clients on Cloud Discovery, Cloud ...
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...