insideBIGDATA Latest News – 12/5/2019

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In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Matillion Advances Speed And Simplicity Of Data Integration With Release Of Matillion Data Loader – Matillion, a leading provider of data transformation software for cloud data warehouses (CDWs), announced Matillion Data Loader, a free Software-as-a-Service (SaaS) data integration solution that empowers data analytics professionals and business users to simply and easily load and migrate data with a powerful and scalable product.

“Exploding data volumes and the rapid shift toward data democratization mean enterprises have increasingly diverse data analytics needs across teams. A flexible data analytics platform should ensure companies can address simple use cases, sophisticated analytics projects, or both at the same time, without the inherent complexity of other tools,” said Matthew Scullion, CEO of Matillion. “Matillion Data Loader works by itself to deliver low-friction data loading but also works with Matillion ETL as a platform to join and transform data sources for analytics. This is a far better option than having to choose between solutions that are either quick and simple or functional and complex.”

MemSQL Strengthens Relationship with Amazon Web Services With v7.0 General Availability on Helios MemSQL, the No-Limits DatabaseTM for operational analytics and cloud-native applications, announced the general availability of MemSQL 7.0 on Amazon Web Services (AWS). Helios, MemSQL’s on-demand, elastic cloud database-as-a-service, is now available with upgrades incorporating two significant database advances: “SingleStore,” a breakthrough new way of managing data, and “system of record” features that make MemSQL a trusted platform for Tier 1, mission-critical workloads. MemSQL 7.0 is the most powerful version yet of the company’s all-in-one database for operational analytics, and artificial intelligence (AI)- and machine learning (ML)-powered applications. It helps enterprises easily ingest, process, analyze and act on data in near real time – including time series and geospatial data – to better compete and thrive in today’s insight-driven economy.

“MemSQL is delivering a real impact for our organization by making real-time decisions and predictive analytics easier,” said Julie Cordua, CEO of Thorn, a non-profit organization focused on building technology to combat child sexual abuse. “And, because it easily scales to support our machine learning and AI needs, MemSQL helps us continually build better tools to find victims of trafficking and sexual abuse, faster. It is a true case of technology being applied in a way that will make a real difference in people’s lives.”

Snowflake Expands Data Exchange Offering to Break Down Internal Data Barriers Snowflake, the Cloud Data Platform, announced the launch of the Snowflake Private Data Exchange™, a centralized and internally managed data hub that enables organizations to privately share data sets with a select group of people within their chosen ecosystem for collaborative, real-time, informed decision making.

“The Snowflake Private Data Exchange represents the future of managing and sharing data broadly and securely inside enterprise and institutional boundaries,” Snowflake CEO, Frank Slootman said. “The data exchange model will become the deployment standard for exploring, discovering and sharing data enterprise-wide.”

Sisense Unleashes Powerful End-to-End Analytics Capabilities to Accelerate Digital Transformation Sisense, a leading analytics platform for builders, announced a series of innovations that deliver advanced analytics to users during a real inflection point in the industry. With Sisense, customers may now take advantage of the two most significant shifts in the business technology landscape in decades: the evolution of an unbundled cloud market and the rise of artificial intelligence (AI). The first product integration milestone with Periscope Data (In-Warehouse Data Prep), Sisense Forecast, Sisense Quest, and three new capabilities for the embedded market all allow customers to build the most advanced future-ready, enterprise-grade analytic apps in today’s digital era.

“Every modern business needs a great analytics partner. And to be a great analytics partner, the name of the game is data,” said Harry Glaser, CMO & GM at Sisense. “By leveraging the rise of AI and being ahead of the game in today’s multi-cloud world, our central play is to accelerate the distribution of data (wherever it may be) into insights within analytic apps to serve our builders.”

TigerGraph Announces New Graph Database-As-A-Service Cloud OfferingTigerGraph, the scalable graph database for the enterprise, announced new functionality and performance for TigerGraph Cloud. TigerGraph Cloud, the distributed native graph database-as-a-service, is an intuitive way to build and run applications that work with highly connected and complex data sets. TigerGraph’s latest distributed system and high availability enhancements help enterprises leverage advanced analytics on graph at scale, which requires larger and more varied data set combinations, which means more variables and relationships to analyze, explore and test to make machine learning (ML) and artificial intelligence (AI) better.

“To survive and thrive in today’s business world, enterprises should accelerate their approach to AI and ML applications, both of which benefit from graph analytics, as this helps identify new patterns across the data sources, create new models and better algorithms, using data at scale,” said Todd Blaschka, COO, TigerGraph. “TigerGraph Cloud’s enhanced services provide our customers with an even better platform for analytical and transactional processing. Users can start for free and expand to a distributed production system as their applications scale. Starting a distributed graph system with high availability is simply choosing the number of machines and the number of replicas on TigerGraph Cloud.”

Dataiku 6 Release – New Features to Support Sustainable AI and Cross-Team Collaboration Dataiku released the latest version of its leading Enterprise AI and machine learning platform, Dataiku 6, which includes the ability for users to easily spin up and manage Kubernetes clusters from inside the Dataiku platform. In addition to elasticity, Dataiku 6 offers a suite of new features to empower organizations to build sustainable AI systems. Dataiku 6 underscores the company’s continued commitment to helping businesses build AI that stands the test of time, ensuring that they are not hampered by inevitable and unforeseen developments (technological, regulatory, or otherwise) in the space. Other highlights include a new plugin store to more easily expand the power of Dataiku and improved subpopulation analysis for better model performance and avoiding model bias.

“The world of AI is moving incredibly fast, but companies can’t wait for it to slow down in order to get started. That means organizations need to ensure they are future-proofing their approach to AI,” said Florian Douetteau, Dataiku CEO. “Dataiku 6 enables enterprises to do just that by offering more features for white box AI, collaboration, efficiency, and elastic resource management to allow businesses’ AI to evolve along with the technology.”

TruFactor Intelligence-as-a-Service Now Available on AWS Data Exchange, Powering AI and Machine Learning At-ScaleTruFactor, an InMobi Group company, announced that over 40 TruFactor intelligence offerings tailored to specific use cases and industries are now available on AWS Data Exchange, a new service that makes it easy for millions of Amazon Web Services (AWS) customers to securely find, subscribe to, and use third-party data in the cloud. TruFactor consumer intelligence is unique because it is refreshed daily and based on one of the largest, “always-on,” and most consistent user panels. Using AWS Data Exchange allows TruFactor to more broadly deliver aggregated consumer intelligence to enterprises.

“We are excited to make this unique aggregated consumer intelligence available for the first time on AWS Data Exchange,” said Piyush Shah, Co-Founder, InMobi Group and CEO, TruFactor. “Data scientists and developers can now easily discover and consume ‘always-on’ TruFactor intelligence to power AI-first applications and platforms across financial services, retail, urban planning, and transportation.”

AWS Announces New Quantum Computing Service – Amazon BraketAmazon Web Services, Inc. (AWS), an company (NASDAQ: AMZN), announced three key initiatives as a part of the company’s plans to help advance quantum computing technologies:

  • Amazon Braket is a new, fully managed AWS service that enables scientists, researchers, and developers to begin experimenting with computers from quantum hardware providers (including D-Wave, IonQ, and Rigetti) in a single place.
  • AWS Center for Quantum Computing will bring together quantum computing experts from Amazon, the California Institute of Technology (Caltech), and other top academic research institutions to collaborate on the research and development of new quantum computing technologies.
  • Amazon Quantum Solutions Lab is a program that connects customers with quantum computing experts from Amazon and its technology and consulting partners to develop internal expertise aimed at identifying practical uses of quantum computing, and accelerating the development of quantum applications with meaningful impact.

“With quantum engineering starting to make more meaningful progress, customers are asking for ways to experiment with quantum computers and explore the technology’s potential,” said Charlie Bell, Senior Vice President, Utility Computing Services, AWS. “We believe that quantum computing will be a cloud-first technology and that the cloud will be the main way customers access the hardware. With our Amazon Braket service and Amazon Quantum Solutions Lab, we’re making it easier for customers to gain experience using quantum computers and to work with experts from AWS and our partners to figure out how they can benefit from the technology. And with our AWS Center for Quantum Computing and academic partnerships, we join the effort across the scientific and industrial communities to help accelerate the promise of quantum computing.”

AppSheet Expands AI/ML Intelligence to No-code App Creation with Optical Character Recognition and Predictive Model CapabilitiesAppSheet, a leading no-code application platform, announced it has added Optical Character Recognition (OCR) and new predictive model features to its intelligent platform, enabling business users to speed up data entry, perform statistical analysis of data, and integrate machine learning (ML) processing capabilities in smart enterprise apps—all without writing a single line of code. AppSheet’s new OCR and no-code ML features builds on the company’s previously announced artificial intelligence (AI) and natural language processing (NLP) features, including Spec and Smart Assistant. These industry-first AI and NLP capabilities (in a no-code app platform) provide a user-friendly interface to technical and non-technical users alike, combining NLP with data-driven learning to discern what kind of app the user wants, and to build it interactively in real-time.

“Our new OCR and predictive model capabilities further demonstrate how any business can easily embed AI and ML capabilities in intuitive software solutions to help drive productivity, without requiring specialized developers or data scientists,” said Praveen Seshadri, founder and CEO of AppSheet. “AppSheet empowers the business user to create and deploy apps that improve processes and drive productivity. Because no coding is required, business users can do it themselves without the need for expensive IT resources. With the new AI/ML features, these apps can now use data-driven intelligence to provide a smarter user experience and drive greater productivity gains.”

ADLINK Teams with Intel and AWS to Offer AI at the Edge for Machine Vision ApplicationsADLINK Technology, a leader in edge computing, has joined forces with Intel and Amazon Web Services (AWS) to simplify artificial intelligence (AI) at the edge for machine vision. The integrated solution offers an Amazon Sagemaker-built machine learning model optimized by and deployed with the Intel® Distribution of OpenVINO™ toolkit, the ADLINK Edge™ software suite, and certification on AWS Greengrass. The ADLINK AI at the Edge solution closes the loop on the full cycle of machine learning model building—from design to deployment to improvement—by automating edge computing processes so that customers can focus on developing applications without needing advanced knowledge of data science and machine learning models.

“We’ve worked on multiple industrial use cases that benefit from AI at the edge, including a smart pallet solution that makes packages and pallets themselves intelligent so they can detect where they’re supposed to be, when they’re supposed to be there, in real-time,” said Toby McClean, VP, IoT Innovation & Technology, at ADLINK. “This enables warehouse customers to yield improved logistics and productivity, while also decreasing incorrectly shipped packages and theft. And this use case can be replicated across verticals to improve operational efficiency and productivity.”

HPE Delivers the Cloud Experience Everywhere with Next Generation Hybrid Cloud PlatformHewlett Packard Enterprise (HPE) announced the next major milestone in the company’s as-a-Service strategy with the launch of HPE GreenLake Central, a next-generation edge-to-cloud platform delivered as-a-Service. HPE GreenLake Central is a software solution that provides customers with an as-a-Service portal and operational console to run, manage and optimize their entire hybrid IT estate. Building on the tremendous momentum of HPE GreenLake, HPE’s market-leading IT as-a-Service offering, HPE GreenLake Central gives customers a unified digital front-end and single control plane that provides greater speed, choice, and cost controls across public and private cloud, data center and edge workloads.

“Organizations today have a tremendous opportunity to harness all their applications and data, from the edge to the cloud, in order to innovate, compete, and engage their customers in a compelling manner,” said Antonio Neri, President and CEO, HPE. “However, expensive, proprietary, and siloed systems across the hybrid cloud estate have only served to increase cost and complexity and decrease agility and simplicity. HPE GreenLake Central puts the power of the cloud back in the hands of customers, by delivering a consistent cloud experience everywhere, resulting in greater speed, control and choice in driving their digital transformation initiatives.”

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