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insideBIGDATA Latest News – 2/18/2020

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.

C. Light Introduces World’s First Retinal Eye-Tracking Technology to Assess Neurological Health in the Blink of An Eye

C. Light Technologies, a neurotech and AI company participating in UC Berkeley’s premier accelerator SkyDeck, is introducing the world’s first retinal eye-tracking technology paired with machine learning to assess and predict neurological health. The technology is fast (10 seconds), non-invasive and objective. This life-changing technology can measure the motion of the eye on a cellular scale – movements as small as roughly 1/100 the size of human hair. The technique uses a Tracking Scanning Laser Ophthalmoscope (TSLO) developed by Dr. Christy Sheehy, founder of C. Light, which images the retina to better understand the conditions of the brain. C. Light’s solution is starting with multiple sclerosis (MS) and in the future will be used to assess or diagnose Alzheimer’s disease, Parkinson’s disease, Amyotrophic lateral sclerosis (ALS) and concussions.

“The back of your eye is actually the front of your brain. We use AI paired with eye tracking to create a digital fingerprint of your neurological health, with unprecedented speed and sensitivity,” said Dr. Zachary Helft, C. Light Co-Founder. “Other technologies use the pupil to track eye motion, but our technique images the retina for 120 times more sensitivity than the other tracking systems available today. In other words, C. Light measures eye motion that has been otherwise invisible through existing pupil tracking technologies.”

GigaSpaces Launches GigaSpaces Cloud Managed Service on Google Cloud Platform

GigaSpaces, the provider of InsightEdge, the fastest in-memory real-time analytics processing platform, announced today that they are providing their in-memory computing platform, InsightEdge as a managed service on Google Cloud Platform (GCP).  With a single click, customers can deploy InsightEdge to seamlessly introduce new applications that need to ingest, process and analyze streaming, hot and cold historical data at extreme speed and scale with zero management overhead. Using InsightEdge on GigaSpaces Cloud, services and applications can query data from any source for a real-time 360 view; quickly connecting all structured, semi-structured and unstructured data to gain a holistic view of the business.

“We are excited to join forces with Google Cloud to provide easy access and a fully automated InsightEdge service” said Yoav Einav, VP Product at GigaSpaces. “Simplifying deployment and management while ensuring a no-downtime service, will help our customers leverage their data; running analytics and ML models at the speed and scale required for real-time decision making.”

Tachyum’s Reference Design Will Be Used In a 2021 AI/HPC Supercomputer

Semiconductor Company Tachyum Inc. announced that its Prodigy Processor AI/HPC Reference Design will be used in a supercomputer which will be deployed in 2021. This reference design will provide customers, partners, OEMs and Original Design Manufacturers (ODMs) a proven blueprint for building and deploying ultra-high performance Exascale AI/HPC supercomputers and data centers in 2021. Tachyum’s Prodigy Universal Processor, slated for commercial availability in 2021, is a 64-core processor with a clock speed in excess of 4GHz that brings to market new “Universal Computing” capabilities. In normal data center workloads, Prodigy handily outperforms the fastest processors while consuming one-tenth the electrical power, and it is one-third the cost. In AI applications, Prodigy outperforms GPUs and TPUs on neural net training and inference workloads and is orders of magnitude easier to program.

“We are excited that customers are interested in our technology. There is never a more exciting time for a startup than THE FIRST CUSTOMER, especially one who wants to deploy an AI/HPC supercomputer in 2021. The preparations at the supercomputer site are expected to start later this year, so that infrastructure is ready when Tachyum’s first hardware arrives. Tachyum has responded to its customers’ and partners’ need for an easy blueprint to enable hyperscalers and qualified ODMs and OEMs to begin changing the competitive landscape, while accelerate democratizing AI/HPC in the process,” said Dr. Radoslav “Rado” Danilak, Tachyum founder and CEO. “Every Prodigy-equipped data center is also a low-cost, scalable AI/HPC datacenter.”

Stellus Technologies Emerges from Stealth with Data Platform that Drives Massive Data Access Throughputs

Stellus Technologies announced the launch of its Stellus Data Platform, based on the industry’s first Key-Value over Fabrics technology, that can efficiently accelerate by 10x the storing and accessing of the world’s unstructured data. The Stellus Data Platform delivers groundbreaking read and write performance for file and object-based data, necessary for the most demanding data-intensive workloads and applications such as cognitive AI, machine learning, high-speed microscopy, genomic sequencing, and data streaming applications.

“The explosive pace of data creation is driving the need for massive storage and processing of structured and unstructured Big Data in cloud-native environments,” said Young Sohn, President and Chief Strategy Officer for Samsung Electronics and Chairman of Stellus. “The introduction of this innovative new-generation file system by Stellus will unleash the full performance of industry-leading memory and storage created by Samsung, and deliver the flexibility and scalability of cloud-native architectures for customers and partners.”

Dataiku Launches Dataiku Community to Bring Together Professionals in Data Science, Machine Learning and AI

Dataiku, a leading Enterprise AI and machine learning platforms, announced the launch of the Dataiku Community, a collaborative resource for Dataiku users and those working to democratize data science. Created as the go-to place for all data professionals, the Dataiku Community centralizes resources and encourages members to engage on broad data science topics as well as to expand their knowledge and skillsets (both within and outside of Dataiku). The Dataiku Community features a knowledge section that connects to the Dataiku official learning tutorials, use cases, and user-friendly knowledge base articles, providing community members with the tools to broaden their understanding of the platform. Within the Community, users are able to ask questions, receive support with Dataiku and share best practices. 

“At Dataiku, our mission is to democratize data science and to create human-centric Enterprise AI solutions that power the future of business,” said Florian Douetteau, CEO at Dataiku. “Collaboration is inscribed into Dataiku’s DNA, and the Dataiku Community is an extension of our values for those interested in contributing to the democratization of data science. We are excited for the Dataiku Community to empower more users to work faster and smarter together toward Enterprise AI.”

Incorta 4.6 Platform Release Makes Cloud Data Lakes Analytics-ready

Incorta, the Unified Data Analytics Platform powered by Direct Data Mapping, announced the latest version of its platform, Incorta 4.6. With this release, Incorta introduces new features, capabilities, and performance enhancements that double down on its commitment to bringing data engineers, data scientists, and data analysts together on a single platform. Specifically, Incorta 4.6—the “cloud data lake release”—enables seamless integration and support for ADLS Gen2 and AWS S3 cloud storage technologies, giving companies a powerful new way to (1) provide data constituents with ready access to data that is currently locked up in cloud data lakes, and (2) bring new data into cloud data lake storage in an open standard file format (Parquet). With this release, Incorta also continues its tradition of introducing user experience and performance enhancements to all stages of the data workflow, from new data preview and notebook capabilities to dark mode, and parts of Incorta’s Direct Data Mapping engine now running up to 30 times faster.

“Today’s CIOs are in a race against the clock. The amount of data flowing into organizations is growing exponentially, and so is the demand for access to it. Trying to get ahead of the backlog with incremental improvements on existing approaches and technologies alone is a futile task. It’s like trying to supply water to New York City with a garden hose—you’ll just keep falling further and further behind every day,” said Matthew Halliday, co-founder and VP of Product at Incorta. “What’s needed is a fundamentally new approach—and that’s exactly why companies like Northern Trust, Shutterfly, Broadcom, and others rely on Incorta’s Unified Data Analytics Platform.”

Obviously AI Rolls Out First Natural Language-Powered Machine Learning Platform for Predicting Outcomes from Any Data

Data at organizations can be incredibly siloed, difficult to access, and overwhelming for thousands of business users across the globe. From finding a list of items in a haystack of data, to running complex predictive analytics, business users often have to wait for weeks for data engineers to get a single question answered. With the public launch of Obviously AI, a no-code platform designed to put the power of machine  learning and analytics in the hands of non-technical business users, this solution can enable anyone to access crucial information and data predictions, simply by asking questions in natural language. Obviously AI’s no-code tool is extremely easy to use with results on any query returned in under a minute. Users simply upload their data set from CSV, databases or CRMs and then get a Google-like search bar to ask a question in natural language. For predictive questions, such as “Which customers are likely to cancel their subscriptions?” the platform will understand what the user is asking, find the right data, and build a machine learning algorithm on the fly. It also shows you exactly what factors drove your results, so you don’t have to guess how it got them. Similarly, the platform can answer analytical questions that look for existing patterns in data, such as “What is the average daily foot traffic for my retail stores?” Users do not need any familiarity with writing complex SQL queries or working with programming languages to code regressions, neural networks and other ML algorithms.

“We realized that business users truly cared about getting decision making insights about their customers, products and its usage. This often meant writing frustrating SQL queries and waiting on web engineers who would try to figure out machine learning algorithms,” said Nirman Dave, Co-founder and CEO, Obviously AI. “That’s why we have been on a mission to make data science effortless just by asking questions. It’s amazing what marketers, salespeople and other non-technical business users can learn when they use our platform.”

Laserfiche Launches Workflow Bots, New Robotic Process Automation Capabilities

Laserfiche — a leading global provider of intelligent content management and business process automation — announced the availability of workflow bots, new features that allow organizations to take advantage of expanded robotic process automation (RPA) capabilities in the Laserfiche® platform. Laserfiche workflow bots offer a no-code solution to automating repeatable clicks and data entry actions across applications, key for organizations looking to build more complete, end-to-end solutions. 

“Businesses and employees alike want their time back from monotonous tasks to be more productive, more effective and more innovative,” said Karl Chan, president and chief technology officer at Laserfiche. “We’re excited to introduce RPA capabilities to the Laserfiche platform to supplement human employees’ capabilities and open up new opportunities for efficiency and innovation, giving our customers a competitive edge.” 

Figure Eight Workflows Streamlines Multi-Step Automation for High-Quality AI Training Data

Figure Eight, an Appen company, announced Workflows, a new feature that automates the creation of complex data annotation jobs at scale. Workflows makes it possible for non-technical users to create granular, plug-and-play, multi-step annotation projects, removing bottlenecks and lowering the cost of data annotation across the board. Workflows makes it easier to break down complex annotation jobs into simpler jobs and connect them dynamically.

“Overly complex data-annotation jobs increase the cognitive load on the global crowd tasked with labeling vast quantities of training data,” said Wilson Pang, CTO, Appen. “To help create high-quality machine learning data more effectively, we’ve developed technology that streamlines the annotation process. Workflows easily connects multiple, more specific jobs within large annotation projects to optimize the process for quality and improve the experience for both AI experts and the annotation crowd. By creating more granular annotation jobs, Workflows also delivers high-quality results faster, leading to fewer wasted resources and reduced costs when compared to large, complex annotation jobs.”

InterSystems Announces Enhanced Open Source Availability for InterSystems iKnow Technology

InterSystems, a global leader in information technology platforms for health, business, and government applications, announced that InterSystems iKnow, the InterSystems IRIS Data Platform™ natural language processing (NLP) technology, is now available via open source. Open source availability enables existing InterSystems partners and customers, as well as other organizations and academics, to capitalize on the unique and unbiased bottom-up approach that delivers deeper insights with NLP provided by InterSystems iKnow. Moving the InterSystems iKnow software into the public domain makes it easier to embed the technology deep in applications and business processes inside and outside of InterSystems IRIS. It also enables customers to customize the technology at a foundational level, tune, and broaden language models beyond what is possible within fixed release cycles of proprietary products.

“Organizations are being pressured to innovate faster to keep pace with the demands of today’s automated workplace,” said Jeff Fried, director of product management for InterSystems IRIS Data Platform. “Harnessing natural language is key to delivering the intelligent applications that make this possible. Making InterSystems iKnow available to the public is part of our initiative to provide our customers, partners, and the broader technology community with the tools and resources required to reach their full potential and make a lasting impact in healthcare, business, government, and more.”

BrainChip’s Akida Development Environment Now Freely Available for Use

BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance edge AI technology, announced that access to its Akida™ Development Environment (ADE) no longer requires pre-approval, now allowing designers to freely develop systems for edge and enterprise products on the company’s Akida Neural Processing technology. ADE is a complete, industry-standard machine learning framework for creating, training and testing deeply learned neural networks. The platform leverages TensorFlow and Keras for neural network development, optimization and training. Once the network model is fully trained, the ADE includes a simple-to-use compiler to map the network to the Akida fabric and run hardware accurate simulations on the Akida Execution Engine. The framework uses the Python scripting language and its associated tools and libraries, including Jupyter notebooks, NumPy and Matplotlib. With just a few lines, developers can easily run the Akida simulator on industry-standard datasets and benchmarks in the Akida model zoo such as Imagenet1000, Google Speech Commands, MobileNet among others. Users can easily create, modify, train and test their own models within a simple use development environment.

“The enormous success of our early-adopters program allowed us to make ADE available to developers looking to use an Akida-based environment for their deep machine learning needs,” said Louis DiNardo, CEO of BrainChip. “This is an important milestone for BrainChip as we continue to deliver our technology to a marketplace in search of a solution to overcome the power- and training-intense needs that deep learning networks currently require. With the ADE, designers can access the tools and resources needed to develop and deploy Edge application neural networks on the Akida neural processing technology.”

Sigma Computing Debuts New Features that Balance Control and Access, Enabling Anyone to Explore Data Safely and Securely

Sigma Computing, an innovator in cloud analytics and business intelligence (A&BI), announced a slate of product features that, together, unlock the ability for anyone at an organization to explore and analyze data, while the data team maintains control over the data and its integrity. Modeling, lineage, and new point-to-point sharing capabilities create a single source of truth for entire organizations and make it easy to share the right data with the right people, turning it into an invaluable, self-service BI resource that drives decisions in real-time.

“Every organization wants to be data-driven, but to truly be data-driven, we believe employees can’t be limited to pre-built dashboards and reports with historical data,” said Sigma Computing Co-founder and CEO Rob Woollen.” Every employee must have secure, controlled, and real-time access to data, in a format that isn’t intimidating and allows them to do their own analysis. Sigma bridges the huge gap between the power data holds and the teams who need it by empowering them to run, what would be complex queries in any other tool, in Sigma without needing to learn SQL code.”

Inzata Introduces Newest Feature: Embedded Analytics Solutions 

Inzata, the full-service data analytics platform powered by artificial intelligence, introduces new embedded analytics features that empower users to embed powerful analytics capabilities into everyday business applications.  Inzata Analytics software now provides its users the ability to embed dashboards within business applications that support IFrames. The embedded dashboards support all of the InViewer (Inzata’s dashboard tool) features provided within Inzata, like interactive reporting and the advanced-drilling capability in Inzata’s ad-hoc mode. 

“This addition to Inzata has greatly expanded the reach of Inzata’s analytical insights. For users, it means more effective and actionable analytics, served up exactly when they need them. Embedding real-time analysis into business applications means users have up-to-the-second insights when they’re doing their jobs,” said Christopher Rafter, COO of Inzata, “Inzata’s end-to-end analysis tools were only the beginning; Now, with additions like this, we’re giving users complete freedom in how they can consume analytics.” 

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