Press Releases

VSBLTY Announces Two International Partnerships; Will Feature Two Products At ISE

PHILADELPHIA, Feb. 5, 2019 /PRNewswire/ — VSBLTY, a leading retail software and technology company that provides audience measurement using the power of machine learning through computer vision, today announced the creation of two international partnerships with Atlas International, headquartered in Milan, Italy, and Onyx-Cognivas Pty, based in Johannesburg, South Africa.

The announcement was made by VSBLTY CEO Jay Hutton, who also said the firm would be demonstrating two unique products at the ISE Show, scheduled for February 5-8, in Booth 8-S360. Amsterdam will host the 2019 ISE that is expected to draw 80,000 AV and systems integration professionals.

Hutton said VSBLTY will unveil an elevator video wall— Gateway “magic mirror” by LU-VE Group—designed for hotels, office and residential buildings that will transmit photos, videos and advertising as well as building information and announcements. Touch screen technology also enables elevator passengers to communicate to the outside via the web. In the event of an emergency, the elevator cabin immediately will be in audio/visual communication with an emergency specialist to calm and inform passengers.

The second VSBLTY product demonstrated will be a retail cabinet with shelves that features interactive video screens to engage and inform customers. Hutton said the unit is ideal for promoting products. Video on various size screens demonstrates product uses and benefits in addition to helping to educate customers, relieving the dependency on service staff. The unit also can feature in-store promotions.

Both of VSBLTY’s new partner companies will attend ISE, Hutton said. Atlas International is a full-service provider of innovative solutions specializing in business and technology integration across a wide range of channels. “With our expertise in digital signage, customer engagement, and artificial intelligence, Atlas is an ideal partner to help VSBLTY gain distribution in Italy and beyond,” according to the firm’s CEO Tommaso Boralevi.

Onyx-Cognivas has unique patents on transparent digital signage that offer 100% transparency on demand, coupled with video analytics. The company also utilizes raw data collected from video analytics, including facial detection/recognition and object recognition, that— in conjunction with other data sets—builds deep learning intelligence solutions.

Co-founder Andrew Coudounaris said, “Our cutting-edge business intelligence algorithm technology that combines face recognition and detection, along with video analytics and object recognition, makes Onyx-Cognivas synergetic with VSBLTY, which has successfully been advancing the merging of marketing intelligence and security.”

CONTACT: Linda Rosanio, 609-472-0877
lrosanio@vsblty.net

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SOURCE VSBLTY

H2O.ai Advances Leading Data Science and Machine Learning Platforms

SAN FRANCISCO, Feb. 5, 2019 /PRNewswire/ — H2O WORLD SAN FRANCISCOH2O.ai, the open source leader in AI and ML, today announced new and innovative capabilities for its data science and machine learning platforms, H2O, AutoML and H2O Driverless AI, to address the critical scalability and performance needs of all organizations. As part of these new capabilities, and to further the company’s mission to democratize AI, H2O.ai has added several new algorithms that address common use cases that customers need today.

H2O.ai Logo (PRNewsfoto/H2O.ai)

In addition, H2O Driverless AI is a winner of InfoWorld’s 2019 Technology of the Year for the second year in a row. The award honors and recognizes the best in software development, cloud computing, big data analytics, and machine learning tools. This year’s judging panel recognized H2O Driverless AI for outpacing all other vendors with “automated simplicity” of its algorithms that do the heavy lifting of feature engineering, model selection, training and optimization – enabling even non-AI experts to uncover hidden patterns using both supervised and unsupervised machine learning.

According to InfoWorld, “H2O.ai pushed several significant updates in 2018—most importantly for natural language processing, time series prediction, and gradient boosting. Visual decision trees now graphically step users through understanding ‘how’ a prediction was made—to clarify, for example, why an insurance claim was flagged fraudulent. H2O’s visual tools and clear explanations go a long way to bridge understanding across business teams, IT, and data scientists.”

“We are excited that H2O Driverless AI is recognized by InfoWorld as 2019 Technology of the year” said, Sri Ambati, CEO and Founder at H2O.ai. “Thanks to the rapid innovation and adoption of Driverless AI in 2018, some of the world’s most demanding retail and investment banks, hedge-funds, underwriters, retailers and telcos trust H2O Driverless AI to automate their machine learning and AI pipelines. Customer and community feedback inspires last mile innovation at H2O and I couldn’t be prouder of the entire team’s work in building a great product that wins accolades from customers and analysts alike.”

“H2O.ai’s Driverless AI platform harnesses the power of NVIDIA Tensor Core GPUs to enable customers to see significant speedups in automated machine learning to deliver AI insights and interpretability,” said Jeff Herbst, Vice President of Business Development at NVIDIA. “H2O Driverless AI continues to gain momentum as it offers advanced capabilities that solve real world problems for customers today.”

H2O Driverless AI Innovations

The latest release of its award-winning “AI to do AI” automatic machine learning platform, H2O Driverless AI launched a number of new features including:

  • Model checkpointing: This enables customers to re-train models quickly without restarting each time
  • Enhanced capability to handle massive workloads: The latest version of Driverless AI improves deployment speed on existing infrastructure while significantly lowering memory footprint
  • Support for new algorithms: Along with XGBoost, Tensorflow, GLM and RuleFit, LightGBM and FTRL are the latest supervised algorithms to be added to Driverless AI. It also uses K-Means, SVD, PCA and other unsupervised algorithms for feature engineering. The combination of these algorithms ensures that customers now have more options to solve their data science problems and can address a variety of use cases ranging from credit risk scoring, anti-money laundering, customer churn predictions, fraud detection, cyber threat prevention and more.

The latest version of H2O Driverless AI is available immediately for download and use.

Also at H2O World San Francisco today, H2O.ai announced several new strategic partnerships and technology integrations for H2O Driverless AI with leading organizations, including Intel, Alteryx and Kx.

New Innovations in H2O, Sparkling Water and AutoML

H2O.ai also announced new innovations of its leading open source platform, H2O, and AutoML which now include new enhancements such as:

  • The addition of Isolation Forest algorithm for anomaly detection – which highly effective when solving problems like fraud detection and intrusion detection
  • Fully distributed XGBoost in AutoML
  • The ability to inspect trees thoroughly for all the tree-based algorithms
  • Target encoding of categorical variables for feature engineering
  • Monotonicity constraints for GBM
  • H2O-3 supports multi-node XGBoost for its H2O Sparkling Water project, as well as Spark 2.4.

Read more about all the new innovations for H2O-3 and AutoML here.

H2O World San Francisco

H2O.ai is holding its sold out community event, H2O World San Francisco, a multi-day interactive event featuring deep-dive technical and hands on training, advancements in machine learning and sessions focused on real-world business use cases. With speakers from Alteryx, AI4ALL, IBM, LinkedIn, Microsoft, Stanley Black and Decker, Wells Fargo and more, the conference brings together the brightest minds in AI from across multiple industries to discuss the trends in artificial intelligence, machine learning and data science, important real-world use cases, and the biggest challenges currently facing the industry.

Watch the livestream of H2O World San Francisco here.

Connect with H2O.ai

About H2O.ai

H2O.ai is the open source leader in AI with a mission is to democratize AI for everyone. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales and Marketing. H2O Driverless AI uses AI to do AI in order to provide an easier, faster and cost-effective means of implementing data science. H2O.ai partners with leading technology companies such as NVIDIA, IBM, Intel, AWS, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxess. For more information and to learn more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai.

Media Contact:
Erika Kamholz
press@h2o.ai
949-282-8560

 

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Global Study: 99% of Australian Consumers Don’t Want to Talk to a Robot When Shopping

SYDNEY, Feb. 4, 2019 /PRNewswire/ — Australians do not want to speak with robots while shopping in-store or online according to a new study conducted by Oracle NetSuite in partnership with Wakefield Research and The Retail Doctor, a retail consulting firm created by expert consultant and business mentor Bob Phibbs. The global study of 1,200 consumers and 400 retail executives across the U.S., U.K. and Australia found a huge disconnect between shopper demands and what retailers deliver in areas spanning the overall retail environment, social media, personalisation and the use of advanced technologies such as chatbots, artificial intelligence (AI), and virtual reality (VR). 

“The Australian retail industry is rapidly changing and this is making it very difficult for retailers to keep up with consumer needs and expectations,” said David De Laine, GM ANZ, Oracle NetSuite. “The results of this survey show that current approaches to personalizing the shopping experience are not working and that emerging technologies are not yet the silver bullet. Instead, Australian retailers need to focus on gaining the visibility and control required to deliver a simple and streamlined shopping experience, both online and in-store, that aligns with consumer expectations.”  

Australian Disconnect: Retailers and Consumer Are on Very Different Pages
Despite significant investments in enhancing the customer experience online and in-store, Australian retailers are not able to keep up with rapidly changing customer expectations and this is creating a huge disconnect.

  • More than half (54 percent) of Australian retail executives believe that Australia consumers will plan to do more in-store shopping in 2019, whereas just 33 percent of consumers agreed, with 14 percent stating they plan to do less shopping in-store.
  • 87 percent of Australian retail executives believe that consumers would feel more welcome if in-store staff interacted with them more. Less than half (46 percent) of Australian consumers agree, with 29 percent noting they would feel more annoyed.
  • 100 percent of Australian retail executives think that engaging with customers on social media is important to building stronger relationships with them. Only 10 percent of Australian consumers think it has a significant impact on the way they think or feel about a brand.

Personalisation is Proving a Problem
Despite almost half of Australian consumers (40 percent) noting that they would pay more for improved personalisation, only 3 percent of Australian retail executives fully believe that their staff has the tools and information needed to give consumers a personalised experience. The gap between consumer demand for improved personalisation and retailers’ ability to deliver is damaging the customer experience.

  • 85 percent of Australian consumers do not feel they are provided with a personalised shopping experience both in-store and online.
  • More than half (58 percent) of Australian consumers are uncomfortable with the way retailers use technology to improve personalisation in-store, while 53 percent feel negative emotions when they receive personal offers online.

Emerging Technology Not Yet the Answer
While Australian retailers are aware that they don’t have the tools and information needed to meet rapidly changing customer expectations, the study found that hyped technologies such as AI and VR are not yet the answer.

  • 79 percent of Australian retail executives agree that the use of advanced technologies to customise the shopping experience is meeting customer’s needs.
  • 78 percent of Australian retailer executives believe having AI and VR in stores will increase sales; only 14 percent of Australian consumers believe the technologies will have a significant impact on their purchase decisions.
  • 48 percent of Australian consumers never use AI-assisted chat windows, whilst only 4 percent opt to use them all the time.

A Simple and Streamlined Future
Despite the popularity of online shopping, physical stores aren’t going anywhere. As long as Australian retailers keep the experience easy and seamless, consumers will keep shopping in-store.

  • Nearly all (97 percent) of Australian consumers agree that there is a need to go into a physical store to purchase items and the majority (67 percent) believe the most appealing retail stores have features that simplify and streamline the shopping experience.
  • The top features attracting Australian consumers to physical stores are simpler store layouts (41 percent), staff orders on a mobile device (36 percent), and options consistent with online (33 percent).
  • The top technology advancements that Australian consumers want to utilize when shopping in-store or online are self-checkout kiosks (30 percent), VR try-on (26 percent) and mobile payments (14 percent). Only 1 percent of Australian consumers want to utilise robots and chatbots while shopping.

“These findings point to a clear and urgent need for better customer service,” said Bob Phibbs, CEO, The Retail Doctor. “No retailer wants their customers to be confused or anxious, yet more than half of global respondents have felt that way while shopping. Customers will feel confident when they develop an emotional connection to the brand. This happens when retailers foster positive, helpful in-store interactions; contrary to popular belief, millennials want store employees to help them. With nearly every respondent reporting that they value brick-and-mortar stores, now is the time to craft every in-store interaction to keep shoppers coming back.”

To read more about NetSuite’s insights into the report’s findings visit the NetSuite blog.

Methodology
For this survey, 1,200 consumers and 400 retail executives were surveyed around the overall retail environment, in-store and online shopping experiences and advanced technologies. Both retailers and consumers were surveyed from three global markets including the U.S., U.K. and Australia with retail executives representing organisations between $10-100 million in annual sales.

About Wakefield Research
Wakefield is a full-service market research firm that uncovers insights for brands to help them solve problems and grow their business. Wakefield Research is a partner to the world’s leading consumer and B2B brands, including 50 of the Fortune 100. Wakefield Research conducts qualitative and quantitative research in 70 countries. For more information, please visit https://www.wakefieldresearch.com    

About The Retail Doctor
The Retail Doctor is a New York-based retail consulting firm created by expert retail consultant and leading business mentor Bob Phibbs. With over 30 years of experience in retail, Bob has worked as a consultant, speaker, and entrepreneur, helping businesses revolutionize their brand and grow their success. Bob is also the author of three highly-praised books, including The Retail Doctor’s Guide to Growing Your Business (WILEY). His clients include some of the largest retail brands in the world including Bernina, Brother, Caesars Palace, Hunter Douglas, Lego, Omega and Yamaha. For more information, please visit www.retaildoc.com

About Oracle NetSuite
For more than 20 years, Oracle NetSuite has helped organisations grow, scale and adapt to change. NetSuite provides a suite of cloud-based applications, which includes financials / Enterprise Resource Planning (ERP), HR, professional services automation and omnichannel commerce, used by more than 16,000 customers in 203 countries and dependent territories. For more information, please visit http://www.netsuite.com

Follow NetSuite’s Cloud blog, Facebook page and @NetSuiteJAPAC Twitter handle for real-time updates.

About Oracle
The Oracle Cloud offers complete SaaS application suites for ERP, HCM and CX, plus best-in-class database Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) from data centres throughout the Americas, Europe and Asia. For more information about Oracle (NYSE:ORCL), please visit us at oracle.com.

Trademarks
Oracle and Java are registered trademarks of Oracle and/or its affiliates.

Oracle NetSuite (PRNewsfoto/Oracle NetSuite)

 

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SOURCE Oracle NetSuite

Hypergiant Galactic Systems Launches to Advance the Space Industry with AI-driven Technologies

HOUSTON, Feb. 5, 2019 /PRNewswire-PRWeb/ — Hypergiant Industries today announced the launch of its Hypergiant Galactic Systems division, with the goal of helping mankind expand its horizon into the next frontier through orbital AI. Hypergiant Galactic Systems will focus on artificial intelligence-driven aerospace and astronautic software and hardware products for the booming space industry.

In its first step towards realizing this vision, Hypergiant Galactic Systems has acquired Satellite & Extraterrestrial Operations & Procedures (S.E.O.P.s), a Houston-based satellite deployment and services provider that offers innovative proprietary launch and deployment systems servicing the CubeSat and MicroSat markets. As a subsidiary of Hypergiant Galactic Systems, S.E.O.P.s will continue to serve customers in defense, government, as well as leading academic institutions in designing, developing, and deploying space satellite constellation arrays. S.E.O.P.s operates classified missions as well as unclassified missions for customers and partners including NASA, DARPA, and Northrop Grumman. S.E.O.P.s currently has allocation on all ISS visiting vehicles (SpaceX Dragon and Cygnus) through its partnership with the Center for the Advancement of Science in Space (CASIS).

“We are beyond excited to welcome S.E.O.P.s to Hypergiant Galactic Systems. S.E.O.P.s will be our key entry platform for intelligent satellite technologies,” said Ben Lamm, CEO of Hypergiant. “As we launch Hypergiant Galactic Systems today, we do so knowing that on our first day of operation we have world-class launch and deployment capabilities for anyone seeking solutions for low-earth orbit and beyond. The fully realized potential of space lies at the intersection of data, AI, and other machine-intelligent technologies. We are excited to be at the leading edge of this movement.”

S.E.O.P.s is led by CEO Chad Brinkley and CTO Michael Johnson. A space entrepreneur with nearly 20 years of experience in the Aerospace & Defense market, Brinkley’s expertise spans the government, military, and commercial sectors. On the technical side, Johnson is the industry leader in designing space research platforms, habitats, modules, launch systems, and spacecraft. He was previously the co-founder of NanoRacks, the first commercial space company to launch CubeSats using the International Space Station (ISS). To date, over 210 CubeSats have been deployed, fueling the rise of commercial space investments. Both Brinkley and Johnson will continue to lead as CEO and CTO of Hypergiant S.E.O.P.s, a subsidiary of Hypergiant Galactic Systems.

S.E.O.P.s became a leader over the last decade in the industry by flying satellites and payloads to low Earth orbit (LEO), utilizing deployment off the International Space Station (ISS), as well as using ISS visiting vehicles. The S.E.O.P.s Slingshot CubeSat launch system was designed to exploit the unused Cygnus vestibule volume of the passive common berthing mechanism (PCBM) by deploying sideways using a zero tip-off mechanism. SlingShot Deployers accommodate any customer’s CubeSat formats and configurations. The system can also fly hosted payloads utilizing the core spacecraft for data, power, pointing, and communications. No other system provides comparable space agility. By working with Northrop Grumman, CASIS, and the U.S. National Laboratory, S.E.O.P.s is executing on the vision of the commercialization of space for industries spanning defense, energy, security, and more.

“In joining Hypergiant Galactic Systems, we have gained access to invaluable resources in artificial intelligence, machine learning, intelligent sensors, and more,” said Chad Brinkley, CEO and co-founder of S.E.O.P.s. “As we leverage these technologies to enhance our offerings and develop entirely new services, we’re confident our customers will be delighted by the new value created through data and machine learning. Today is a great day for space science.”

S.E.O.P.s’ proprietary sideways deployment also makes it possible to mount SlingShot deployers on a geosynchronous satellite bus such as a Boeing 702 or Lockheed 2100, opening small satellite deployment in the GEO belt. Furthermore, S.E.O.P.s has been testing its MicroSat solution (MACE), which is planned to come online in 2019 to deploy larger spacecraft.

“The era of space commercialization is just beginning, and we’re thrilled for S.E.O.P.s to be part of Hypergiant Galactic Systems on this journey,” said Michael Johnson, CTO and co-founder of S.E.O.P.s. “We’re not just building launch and deployment systems, we’re giving people access to corners of the universe previously untouchable in the commercial sector. Combined with the power of AI, the opportunities are truly endless.”

Hypergiant Galactic Systems is a subsidiary of Hypergiant Industries, the first machine intelligence industrial complex, recently co-founded in Texas by Ben Lamm. Leveraging emerging technology in AI, space transport, and imaging techniques, Hypergiant Galactic Systems is completing the vision of a universe intelligently powered.

“Artificial Intelligence has the potential to make virtually every machine more efficient. The same is especially true of spacecraft and all the ground systems required to support them. We wish Hypergiant Galactic Systems and S.E.O.P.s the very best as they help us accelerate space exploration beyond what was possible even a decade ago.” said Bill Nye, CEO of the Planetary Society.

Hypergiant Galactic Systems will be based in Houston, Texas with a field office in Washington D.C.
To learn more, please visit: https://www.hypergiant.com/divisions/galactic/

About Hypergiant Galactic Systems

Hypergiant Galactic Systems is a revolutionary orbital systems and constellations enterprise that combines artificial intelligence with proprietary hardware and the latest advancements in space access. Focused on evolving international commerce with more accessible and affordable space missions, Hypergiant Galactic Systems identifies, invests in, and acquires celestial technologies that can be integrated with and enhanced by machine intelligence. Currently, Hypergiant Galactic Systems operates Hypergiant S.E.O.P.s, a satellite launch and deployment company utilizing International Space Station infrastructure to service the CubeSat and MicroSat markets through its proprietary launch hardware and software. Hypergiant Galactic Systems is owned and operated by Hypergiant Industries.

About Hypergiant Industries:

Hypergiant Industries is the AI industrial complex for leading global enterprises and governments. We help major institutions innovate with breakthrough machine intelligence-driven technology. The solutions, products, and companies we create support our customers on their mission to speed beyond norms and realize an exploded potential of the future we were promised. We push the boundaries of what was previously thought technologically impossible. We meet our customers in the space where impossibility intersects reality. Where light filters out the dark. And machine intelligence makes everything about your business more intelligent.

 

SOURCE Hypergiant Industries

H2O.ai and Kx Partnership Provides Faster Insights on Time Series Data

SAN FRANCISCO, Feb. 5, 2019 /PRNewswire/ — H2O WORLD SAN FRANCISCO — H2O.ai, the open source leader in artificial intelligence and machine learning, and Kx, a division of First Derivatives (FDP.L) and provider of the world’s fastest time-series database, kdb+, today announced a strategic partnership to integrate Kx technology with H2O.ai’s automatic machine learning platform, H2O Driverless AI.

H2O.ai Logo (PRNewsfoto/H2O.ai)

H2O Driverless AI performs the function of an expert data scientist and includes automatic feature engineering, modeling, visualization and interpretability within a single platform. Kx technology, powered by kdb+, is used for large-scale streaming, real-time and historical data analytics. It is widely implemented in the financial services industry for complex analytics on large-scale trading data, as well as in the manufacturing industry and other industries with high volume, high velocity time series IoT data.

The integration of kdb+ into H2O Driverless AI will enable the machine learning and data science platform to extend its ability to quickly process vast datasets, allowing faster identification of AI models and more performant predictive capabilities. This new partnership, announced ahead of Kx CTO Mark Sykes’ keynote entitled “Bringing Wall Street’s Secret to H2O Users,” at H2O World San Francisco on February 5th, heralds a new innovative solution applicable in AI use cases in Financial Services to IoT.

“This partnership reinforces the capability of kdb+ to drive AI and data science solutions, turning H2O.ai’s machine learning expertise into practical applications that enable organizations to obtain key insights from very large datasets,” said Brian Conlon, CEO, Kx. “We are delighted to be teaming up with H2O.ai to drive this initiative.”

“H2O Driverless AI’s tight-knit integration of kdb+ brings best in class AI and the world’s fastest time series database to every vertical,” said Sri Ambati, CEO and Founder H2O.ai. “I’m excited to partner with Mark, Pat and Brian and unleash the power of AI on time series worldwide. All life is time series, needless to say, applications of this work will be universal and ground-breaking.”

Connect with H2O.ai:

About H2O.ai
H2O.ai is the open source leader in AI with a mission is to democratize AI for everyone. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales and Marketing. H2O Driverless AI uses AI to do AI in order to provide an easier, faster and cost-effective means of implementing data science. H2O.ai partners with leading technology companies such as NVIDIA, IBM, Intel, AWS, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxess. For more information and to learn more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai.

About Kx
Kx is a division of First Derivatives (FDP.L), a global technology provider with 20 years of experience working with some of the world’s largest finance, technology, retail, pharma, manufacturing and energy institutions. Kx technology, incorporating the kdb+ time-series database, is a leader in high-performance, in-memory computing, streaming analytics and operational intelligence. Kx delivers the best possible performance and flexibility for high-volume, data-intensive analytics and applications across multiple industries. The Group operates from 14 offices across Europe, North America and Asia Pacific, including its headquarters in Newry, and employs more than 2,600 people worldwide.  Visit www.kx.com

H2O.ai Press Contact
Erika Kamholz
Bhava Communications for H2O.ai
H2O@bhavacom.com
(949) 282-8560

Kx Press Contact
Niamh Fogarty
FTI Consulting
+44 (0)20 3727 1000

 

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H2O.ai Collaborates with Alteryx to Advance Data Science Workflows

SAN FRANCISCO, Feb. 5, 2019 /PRNewswire/ — H2O WORLD SAN FRANCISCOH2O.ai, the open source leader in artificial intelligence (AI) and machine learning (ML), today announced a strategic collaboration with Alteryx, Inc. (NYSE: AYX), revolutionizing business through data science and analytics, that will integrate H2O.ai’s enterprise automatic machine learning platform, H2O Driverless AI, with the Alteryx Platform. This new integration, announced at H2O World San Francisco and discussed during a fireside chat between Alteryx CEO, Dean Stoecker and Sri Ambati, CEO and founder at H2O.ai, enables users of both platforms to simplify and operationalize their end-to-end data science workflows – from data acquisition and prep and blend, to advanced predictive modeling and machine learning, to model deployment.

H2O.ai Logo (PRNewsfoto/H2O.ai)

“We are proud to partner with H2O.ai to deliver tighter integration with H2O Driverless AI auto-modeling to our joint customers,” said Steve Walden, senior vice president of business development at Alteryx. “This connector validates the openness and extensibility of the Alteryx Platform for both data scientists and analysts, providing our customers with the ability to incorporate advanced machine learning algorithms into their existing analytic workflows. We are working together to accelerate and ease the deployment of machine learning models, helping data producers address increasingly complex data science and analytic challenges.”

“H2O.ai and Alteryx partnership expands its movement in self-service data analytics to the grassroots movement in machine learning and AI of H2O.ai,” said Sri Ambati, CEO and founder at H2O.ai. “The simplicity of an integrated discovery, data prep, Driverless AI and analytical workflows gives business users an end-to-end best of breed platform to both analyze and predict the future. Dean built an amazing company in Alteryx and I’m excited to hear him at our community conference today at H2O World San Francisco.”

The integration between H2O.ai and Alteryx brings together all-encompassing, intuitive, automated machine learning from H2O.ai with the self-service data science and analytics from Alteryx. Customers of H2O.ai and Alteryx can now:

  • Develop an integrated data science workflow in Alteryx Designer, from data discovery to production-ready predictive models
  • Deliver the power of automatic machine learning to business analysts, enabling more citizen data scientists
  • Reduce model deployment times, leveraging H2O Driverless AI and Alteryx Promote for reliable model management

Automating Data Science Workflows
H2O Driverless AI empowers data scientists and data analysts to work on projects faster and more efficiently by using automation and state-of-the-art computing power to accomplish tasks that typically takes months in just minutes or hours. By delivering automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time-series, NLP and automatic pipeline generation for model scoring, H2O Driverless AI provides companies with a data science platform that addresses the needs of a variety of use cases for every enterprise in every industry.

The H2O Driverless AI connector for Alteryx is immediately available for download from the Alteryx Analytics Gallery.

Connect with H2O.ai

Connect with Alteryx

About H2O.ai
H2O.ai is an open source leader in AI with a mission is to democratize AI for everyone. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales and Marketing. H2O Driverless AI uses AI to do AI in order to provide an easier, faster and effective means of implementing data science. H2O.ai partners with leading technology companies such as NVIDIA, IBM, Intel, AWS, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxess. For more information and to learn more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai.

H2O.ai Press Contact
Erika Kamholz
Bhava Communications for H2O.ai
H2O@bhavacom.com
(949) 282-8560

 

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H2O.ai Teams Up with Intel to Drive an AI Transformation in the Enterprise

SAN FRANCISCO, Feb. 5, 2019 /PRNewswire/ — H2O.ai today announced a new strategic collaboration with Intel to accelerate AI adoption in the enterprise. At the heart of this collaboration is Project Blue Danube, a co-innovation project focused on accelerating H2O.ai technologies on Intel platforms, including the Intel® Xeon® Scalable processor. In addition, the two companies will partner on community and ecosystem growth, advancing data science education through Intel® AI Academy, and support developer efforts to integrate AI into mainstream analytics workflows to deliver compelling TCO, performance and simplicity. The combination of H2O.ai’s automated machine learning technology and Intel Xeon Scalable processors allows enterprise organizations to quickly generate the information necessary to make critical business decisions and ultimately gain a true competitive advantage based on platforms that enterprises know and trust.

H2O.ai Logo (PRNewsfoto/H2O.ai)

H2O.ai and Intel: Better Together
H2O.ai and Intel are working to accelerate machine learning algorithms and libraries on Intel platforms, and these efforts include optimizing algorithms such as XGBoost for Intel Xeon Scalable processors, which were developed for efficient data analytics.

In addition, the companies are working together to bring H2O Driverless AI to customers globally on the Intel platform, including one of the largest banks in the world. 

H2O.ai and Intel are also collaborating on Project Blue Danube, a set of new innovations that will enable the world’s leading enterprises to create highly scalable, high performance and more secure data science platforms to accelerate their data science workflows on the world’s most pervasive platform. Details of Project Blue Danube will be unveiled later in the spring of 2019.

“We are excited to announce our work with Intel on Project Blue Danube to bring the benefits of fast H2O machine learning algorithms and H2O Driverless AI on Intel architecture. Our mission to democratize AI focuses us on making AI accessible to all and faster, cheaper and easier while bringing those wins on industry-standard platforms in the data centers. Benefits from these innovations will unlock wins for customers and the ecosystem allowing them to adopt AI rapidly,” said Sri Ambati, CEO and founder at H2O.ai.

“Intel is breaking barriers between AI models and enterprise-scale deployments for companies of all sizes, revolutionizing how organizations work and maximize the value of their data,” said Lisa Davis, VP and GM of Intel’s Digital Transformation & Scale Solutions, Enterprise & Government, Data Center Group. “H2O.ai provides enterprise organizations with AI solutions optimized for Intel architecture, enabling automatic machine learning with H2O Driverless AI to rapidly process data and gain the insight necessary to make critical business decisions.”

Accelerating Data Science Workflows Today
H2O Driverless AI delivers advanced data science techniques in an easy-to-use application that empowers data scientists to speed automatic machine learning workflows on state-of-the-art, widely-deployed computing power from Intel, accomplishing tasks in minutes that used to take months. The platform delivers automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time series, natural language processing and automatic pipeline generation for model scoring.

In addition, H2O.ai is a member of the Intel AI Builders Program, an ecosystem of industry leading independent software vendors (ISVs), system integrators (SIs), original equipment manufacturers (OEMs), and enterprise end users who have a shared mission to accelerate the adoption of artificial intelligence across Intel platforms.

Intel Architecture is Continually Enhanced for AI Applications
The world’s data centers run on Intel platforms for their outstanding performance, security; scalable storage, and memory.  since their launch in July 2017, Intel Xeon Scalable processors have been aggressively and continually enhanced to run demanding AI applications alongside the traditional data center and cloud applications at which they already excel, allowing companies to use the same enterprise systems for machine learning, deep learning and traditional enterprise workloads.

Connect with H2O.ai:

About H2O.ai
H2O.ai is the open source leader in AI with a mission to democratize AI for everyone. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. More than 18,000 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales and Marketing.  H2O Driverless AI uses AI to do AI in order to provide an easier, faster and effective means of implementing data science. H2O.ai partners with leading technology companies such as NVIDIA, IBM, Intel, AWS, Microsoft Azure and Google Cloud Platform and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and MarketAxess. For more information and to learn more about how H2O.ai is driving an AI Transformation, visit www.h2o.ai.

Media Contact:
Erika Kamholz
press@h2o.ai
949-282-8560

 

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SOURCE H2O.ai

Waterline Data’s AI-Driven Data Catalog 5.0 is First to Connect, Govern and Rationalize Data Across Cloud and On-Premises Platforms

MOUNTAIN VIEW, Calif., Feb. 5, 2019 /PRNewswire/ — Waterline Data, a global leader in data cataloging solutions and applications, today announced it has released the latest version of the Waterline Data AI-driven Data Catalog (AIDC), a platform that continues to set the pace for innovation while helping global organizations such as Fannie Mae and Nordea accelerate the analytics process. Leveraging Waterline’s newly-patented Fingerprinting technology, AIDC 5.0 adds to Waterline’s ability to catalog individual data items, automatically and at scale, by now allowing organizations to work with related data sets across the enterprise for far deeper and cleaner insights for analytics than any other catalog can provide.

“Fannie Mae began working with Waterline Data, because we needed to provide our analysts with fast access to growing volumes of high quality, governed data in order to remain competitive in today’s data economy,” said Prakash Jaganathan, Data Management Leader, Fannie Mae. “With Waterline Data’s AI-driven Data Catalog, we were able to completely modernize our cloud data environment, fully automating and accelerating the cataloging and searchability of data to deliver game changing value to the business and our customers.”

“Since it debuted its AI-driven Data Catalog five years ago, Waterline Data has been differentiated by its data Fingerprinting approach, supporting automated tagging of data and metadata to drive competitive data-driven decision making,” said Matt Aslett, Research VP, 451 Research. “The company is well-placed to take advantage of growing interest in data cataloging, and in particular in enterprise data catalogs that support the automated cataloging of data across the data estate—including on-premises and cloud environments.”

AIDC 5.0’s new features include:

  • Data Objects:
    AIDC 5.0 allows business analysts to create a combined data asset by pulling data from different systems and formats and publishing those as reusable Data Objects. AIDC 5.0 enables users to find joinable assets that contain the data they are interested in, instantly test possible join options even for data from different systems that has never been joined before, and analyze the resulting joins—all without the usual guesswork, added time, and happenstance discovery of useful data combinations. This is a big first for a data catalog industry that otherwise only offers single SQL source queries for simpler findings and faster time to insight.
  • Data Rationalization Dashboard:
    The new rationalization dashboard allows organizations to eliminate clutter in cloud migrations and identify potential security/privacy risks for cleaner searches and a healthier data estate. The dashboard identifies redundant data to help guide users to the approved master version. It also identifies copies that are no longer identical. These insights effectively root out redundant data to aid in reducing escalating licensing and storage costs while identifying bad copies in order to only surface the data that matters.
  • Business Rules Engine:
    AIDC 5.0’s patented Fingerprinting technology creates a secure and consistent logical view of enterprise data assets. Business rules leverage this view to help data stewards create consistent data governance rules that can be applied to all data assets regardless of platform, format or schema naming conventions. The rules combine data and metadata predicates to perform data quality checks as well as identify regulatory compliance targets, metadata quality checks, and programmatic tagging. The new rules engine is designed to create an automated high quality, compliant data estate to support data driven decision making and self-service analytics.

The power of the Waterline Data AI-driven Data Catalog and its latest 5.0 features is in its Fingerprinting method, driven by AI-based, machine-learning technology that analyzes thousands of points per field in each data set. Combined with human oversight, Waterline Data’s Fingerprinting technology reduces manual tagging of data by over 80%, allowing organizations to derive value from highly trusted data in days instead of weeks or months.

“Waterline Data’s AI-driven Data Catalog 5.0 is the latest in a long line of data cataloging innovations,” said Waterline Data CEO Kailash Ambwani. “After debuting the first data catalog in the market, we continued to innovate with our AI and ML capabilities, leveraging big data and cloud technology to be the first to break the data catalog ceiling from being able to process a million rows of data in thousands of data sets to a billion rows in millions of data sets. We are now continuing our tradition of innovation by being the first to introduce modern day rationalization, data objects and the rule-based engine for compliance, data quality and tagging that bring the power of data cataloging to even greater heights.”

Join Waterline Data for a complimentary webinar on February 12th where we unveil all of the new features of 5.0 or view this video to learn more about 5.0’s new features.

For more about Waterline Data’s AI-driven Data Catalog 5.0, visit our product page or blog.

About Waterline Data:
Waterline Data automates data discovery, compliance and the ability to take action on data by using a powerful combination of artificial intelligence, machine learning, ratings and reviews, and tribal knowledge to deliver an AI-driven Data Catalog. Our customers spend less time searching for data and more time using it to derive value while complying with data governance mandates such as GDPR. The company is funded by Menlo Ventures, Jackson Square Ventures, Partech Ventures, and Infosys, and implemented in large enterprises around the globe. Founded in 2013, the company is headquartered in Mountain View, California. For more, visit us via www.waterlinedata.com, Twitter or LinkedIn.

Enterprise data leaders interested in seeing Waterline Data in action can register for a personalized live demo here.

Contact:
Chris Blake
415-989-9000
chris@msrcommunications.com

 

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SOURCE Waterline Data

Pegasystems Acquires Business Intelligence and Data Visualization Capabilities To Enable Smarter Business Decisions

CAMBRIDGE, Mass., Feb. 5, 2019 /PRNewswire/ — Pegasystems Inc. (NASDAQ: PEGA), the software company empowering digital transformation at the world’s leading enterprises, today announced the asset purchase of Infruid Labs, a business analytics and data visualization software company. This acquisition brings a consumer-grade user interface and enterprise-class capabilities to Pega solutions that enable users to easily visualize and better understand their Pega application data to improve decision making.

The corporate logo for Pega (PRNewsfoto/Pegasystems Inc.)

Many organizations hold seemingly infinite amounts of data, but struggle to interpret it to make an impact. These new business intelligence and data visualization capabilities will provide actionable intelligence by helping clients find discernible patterns within large datasets. By integrating Infruid Labs’ advanced interactive visualization capabilities with its leading AI-powered customer engagement and digital process automation (DPA) solutions, Pega will provide clients with a holistic, streamlined way to visually interpret their data. This will enable users to uncover hidden patterns to make better business decisions.

These visualization capabilities will debut as part of a new business intelligence solution at PegaWorld 2019, Pega’s annual user conference from June 2-5 in Las Vegas. For more information, visit: https://www.pega.com/events/pegaworld.

Quotes and Commentary

“Data holds the keys to any business strategy, but many organizations don’t have the right tools to gain timely insights and understand what’s working for them and what isn’t,” said Kerim Akgonul, SVP of products, Pegasystems. “This acquisition will allow Pega clients to glean even more value from their data with an easy-to-use visual interface that yields instant results, so organizations can remain focused on building strategies that are best for their business and their customers.”

“Pega continues to be at the forefront of innovation in AI, decisioning, and analytics, and I am thrilled that Infruid’s advanced business intelligence and visualization capabilities will be an integral part of Pega’s digital transformation solutions,” said Mahesh Yellai, Infruid founder and now senior director, data & analytics, Pegasystems. “We’re excited to bring our technology to Pega to help clients be leaders in customer engagement and operational excellence.”

About Pegasystems

Pegasystems Inc. is the leader in software for customer engagement and operational excellence. Pega’s adaptive, cloud-architected software – built on its unified Pega Platform – empowers people to rapidly deploy and easily extend and change applications to meet strategic business needs. Over its 35-year history, Pega has delivered award-winning capabilities in CRM and digital process automation (DPA), powered by advanced artificial intelligence and robotic automation, to help the world’s leading brands achieve breakthrough business results. For more information on Pegasystems (NASDAQ: PEGA) visit www.pega.com.

Press Contact:  
Ilena Ryan 
Pegasystems Inc. 
Ilena.Ryan@pega.com         
617-866-6722

All trademarks are the property of their respective owners.

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SOURCE Pegasystems Inc.

ADYOULIKE Verified by ABC to JICWEBS Brand Safety Principles

LONDON, Feb 5, 2019 /PRNewswire/ —

Today, ADYOULIKE has been verified to the JICWEBS Digital Trading Standards Group (DTSG) Good Practice Principles by independent industry body ABC.  The aim of the Good Practice Principles is to enhance transparency in the UK digital display advertising market, ultimately giving brands greater confidence that their advertising will reach the right audience and will not be associated with content that could jeopardise brand reputation.

ADYOULIKE logo

ADYOULIKE, the global leader in Native Advertising provides AI-driven Native Advertising technology and programmatic buying solutions to brands and publishers. ADYOULIKE’s AI-powered semantic targeting ensures campaigns are contextually relevant, while scaling across premium and niche properties. We are the largest in feed native advertising SSP with over 50+ DSP programmatic connections.

As a JICWEBS approved and industry owned Verification Provider, ABC supplies the online media industry with a trusted and robust currency on which media space can be bought and sold. For more information on ABC’s Verification Service please go to: www.abc.org.uk/verification/brand-safety

Dale Lovell, Co-Founder at ADYOULIKE commented “By completing the rigorous accreditation we are proud to be JICWEBS verified, reinforcing our commitment to improving standards across the industry and this confirms the company’s position as a leader in Native Advertising best practises. ADYOULIKE has set out to deliver non-intrusive seamless, infeed advertising in a transparent marketplace at programmatic scale.”

Simon Redlich, Chief Executive at ABC, said: “We are delighted to have verified ADYOULIKE to the JICWEBS Digital Trading Standards Group (DTSG) Good Practice Principles. ABC’s verification service gives our industry confidence about compliance with JICWEBS industry-agreed standards and raises the bar in the important area of brand safety, a key milestone in the evolution of digital display advertising.”

About ADYOULIKE

ADYOULIKE is the global leader in native advertising. Launched in 2011, it is a pioneer in native & video technology, combining user experience, artificial intelligence and semantic targeting to power better ad experiences. THE AYL DEEP NATIVE ADVERTISING SUITE is the most sophisticated native advertising platform in the market, offering bespoke solutions to advertisers and publishers, for content and video distribution at scale. The AYL Exchange is the world’s largest Native Advertising Exchange, connecting third-party demand-side platforms (DSPs) with a vast global inventory of premium infeed native advertising in real-time, allowing programmatic native advertising at scale. ADYOULIKE has offices in New York, London, Paris, Munich & Milan.

Accolades for ADYOULIKE include: Best Native / Content Marketing Platform Digiday Technology Awards 2018; Financial Times Fast Track 1000; French Tech 2018; Champion de la Croissance 2018 and Inc. 5000.

About ABC

ABC delivers a stamp of trust for the media industry. We are owned and developed jointly by media owners, advertisers and agencies to set industry-agreed standards for media brand measurement across print, digital and events.

ABC is also a trusted verification provider. We audit media brand measurement data and the adoption of good practice and process to industry-agreed standards.

Established in 1931, ABC was the first UK Joint Industry Currency (JIC) and is a founder member of the International Federation of ABCs.

For more information please visit www.abc.org.uk

For press enquiries, please contact Native Consultancy: Richard Edwards and Sophie Kennedy on 01442 200971 or abcpressoffice@nativethinking.co.uk

About JICWEBS

JICWEBS is the UK’s Joint Industry Committee for Web Standards and is made up of the following trade bodies: Association of Online Publishers (AOP), Internet Advertising Bureau (IAB) UK, News Media Association, ISBA – the voice of British advertisers – and the Institute of Practitioners in Advertising (IPA). For more information please visit www.jicwebs.org

About the Digital Trading Standards Group (DTSG)

The DTSG comprises representatives from the following sectors of the digital display trading ecosystem: advertisers, agencies, agency trading desks (ATDs), demand side platforms (DSPs), advertising networks, sales houses, advertising exchanges, supply side platforms (SSPs) and publishers.

Press Enquiries

Jessica Francis, Marketing Manager, ADYOULIKE

jessica.francis@adyoulike.com 

 

 

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SOURCE ADYOULIKE