BIG DATA MANAGEMENT

BriefCam Introduces Video Analytics Enabled on Deep Learning Cameras from Axis Communications

BriefCam | September 27, 2021

BriefCam Introduces Video Analytics Enabled on Deep Learning Cameras from Axis Communications
BriefCam, the industry’s leading provider of Video Content Analytics and VIDEO SYNOPSIS® solutions, today announced availability for BriefCam Video Content Analytics on Axis deep learning cameras in December 2021.

Edge video processing on Axis deep learning cameras is a new hybrid deployment option for the BriefCam platform that reduces the total cost of ownership of a real-time video analytics deployment, enables operation in low-bandwidth environments, and makes for faster real-time alerting.

Through the Axis Application Development Partner Program, BriefCam is one of the first to leverage the AXIS Camera Application Platform (ACAP) to enable comprehensive analytics directly on Axis Communications’ deep learning camera series. BriefCam analytics are enabled on the Axis deep learning cameras AXIS P3255 and AXIS Q1615 Mk III, which feature a dual chipset of ARTPEC-7 and a deep-learning processing unit (DLPU), as well as the ARTPEC 8 camera series. By enabling BriefCam analytics on the edge, along with post processing and management capabilities, users experience up to six times faster real-time alerting, a 5-10x reduction in bandwidth, and up to 55% less real-time GPU processing servers for real-time processing. This enables greater flexibility and cost efficiency for large scale or distributed video analytics deployments.

“Axis is excited for the availability of BriefCam analytics on Axis deep learning cameras, a great step forward toward our shared vision for advancing best-in-class video surveillance technologies, with significant reduction in real-time processing costs for end users. The breadth of BriefCam’s video analytics together with powerful Axis deep clearing cameras, including the new, powerful Axis ARTPEC-8 DLPU enabled cameras, creates an even more scalable and cost-effective solution.”

Mats Thulin, Director of Core Technology, Axis Communications

“The ability to process BriefCam video analytics at the edge is a game changer for organizations striving to extract valuable data insights from video,” said Gili Rom, VP Strategy and Alliances, BriefCam. “Greater flexibility in deployment architectures and the introduction of a hybrid deployment model through BriefCam enabled on Axis deep learning cameras further extends advanced real time analytics for safety, security and operational efficiency – a technology partnership that has significant benefits for the end user.”

About BriefCam
BriefCam® is the leading provider of video analytics software that enables people, companies, and communities to unlock the value of video surveillance content. Delivering accurate, flexible, and comprehensive solutions, BriefCam’s video analytics platform provides valuable insights for accelerating investigations, increasing situational awareness, and enhancing operational intelligence.

About Axis Communications
Axis enables a smarter and safer world by creating network solutions that provide insights for improving security and new ways of doing business. As the industry leader in network video, Axis offers products and services for video surveillance and analytics, access control, ​intercom and audio systems.

Spotlight

Graph analytics, which is an analytics alternative that uses an abstraction called a graph model. The simplicity of this model allows for rapidly absorbing and connecting large volumes of data from many sources in ways that finesse limitations of the source structures (or lack thereof, of course). Graph analytics is an alternative to the traditional data warehouse model as a framework for absorbing both structured and unstructured data from various sources to enable analysts to probe the data in an undirected manner. Big data analytics systems should enable a platform that can support different analytics techniques that can be adapted in ways that help solve a variety of challenging problems. This suggests that these systems are high performance, elastic distributed data environments that enable the use of creative algorithms to exploit variant modes of data management in ways that differ from the traditional batchoriented approach of traditional approaches to data warehousing


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DATA SCIENCE

ODSC West 2021 to Become the Largest Hybrid Data Science and Machine Learning Conference this November 16-18

ODSC | August 04, 2021

ODSC West 2021, the latest in the largest machine learning conference series for learning applied data science, will return to its in-person format for the first time in almost two years this November 16th-18th in San Francisco, California. This event is expected to bring in 2000 people together across all three days. ODSC West 2021 will offer more than 200 training sessions and workshops led by the best industry experts in data science and thought leaders from top companies striving to advance the state of the art. With the goal of enriching and training the largest data science, artificial intelligence, and machine learning community around the country, ODSC West 2021 will focus on the most in-demand and emerging trends in the field, such as machine and deep learning, NLP, computer vision, predictive analytics, data visualization, and cybersecurity. Past speakers include Cassie Kozyrkov, Michael I. Jordan, Kurt Keutzer, and other experts in the field of data science and AI from reputable organizations such as Google, UC Berkeley, and Microsoft. Focus areas for this year’s conference include: Deep Learning and Deep Reinforcement Learning Data Engineering and MLOps Cybersecurity and Machine Learning Responsible AI and AI for Social Good Machine Learning Hands-on Training Artificial Intelligence Research Foundations In addition to the workshops and machine learning training sessions, ODSC West 2021 will feature a number of bonus events, such as the Ai+ Career Lab & Expo, where 30+ hiring partners will be in attendance to hire the best and brightest data scientists they can find. November 17th-18th will also feature the Virtual AI Expo, a special event for startups, business professionals, executives, investors, and technologists who seek to build and grow the AI-driven enterprise. All talks and attending companies will highlight specific industries, such as AI for healthcare, finance, climate, and more. Currently scheduled companies include HP, Microsoft, Intel, SAS, Mathworks, Algorithmia, DataRobot, Saturn Cloud, and more to come. For any interested data science professionals who are unable to attend in-person, ODSC is partnering with the eventX.ai platform to bring a virtual component to the event. This virtual conference will feature a number of talks and training sessions designed to provide in-depth training to anyone interested in ODSC West but are unable to travel to the convention hall. There will also be a virtual Career Expo and AI Expo component as well. P.S. Register with code ODSC_Media7 today to get an additional discount on your ODSC West in-person or virtual pass. More on ODSC: Open Data Science Conference (ODSC) is the leader of applied data science conferences. Our conferences bring industry leaders, key executives, start-up companies, engineers, and investors on the threshold of innovation together. For more information about the conference, its content, and its partners visit ODSC.com/california, or contact the ODSC Content Marketing Manager, Alex Landa, directly at alex.l@odsc.com.

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BIG DATA MANAGEMENT

Software AG, SAP partner on industry 4.0 data

Software AG | February 24, 2021

Software AG and SAP have partnered to better surface supply chain management data with the aim of improving product quality. The news, which landed as Software AG held its Capital Markets Day, highlights how multiple players are forming partnerships to focus on the industry 4.0 market. Software AG's alliance with SAP will combine SAP's S/4HANA Cloud with Software AG's TrendMiner, which is self-service industrial analytics software for smart factories. According to the companies, the partnership will bring sensor-generated time-series data into the analytics and operational performance fold. Software AG in January reported bookings growth of 31% in the fourth quarter and 24% for 2020. Digital transformation drove demand for Software AG. For 2020, Software AG reported revenue of €834.8 million, down 3.8% from a year ago. Net income (non-IFRS) was €125.4 million. Software AG said that it will "double down on its existing strategy by focusing on five priority areas, namely: continuing to develop its subscription growth engine, fostering product innovation, driving internal simplification to improve productivity, progressing the ongoing cultural transformation driving its success, and taking a more proactive stance towards Mergers & Acquisitions."

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BIG DATA MANAGEMENT

GZ6G Technologies Announces Development of Innovative Artificial Intelligence Analytics platform VenuTrax for launch by Green Zebra Smart Labs

GZ6G Technologies | February 23, 2021

GZ6G Technologies Corp. (OTCMarkets:GZIC), the complete enterprise smart solutions provider for large venues and cities, is implementing its phase two development of proprietary smart solutions product offering, “VenuTrax”; a state-of-the-art logic management solution cloud (SaaS) platform intended to provide venues the ability to directly communicate with customers using 5G & Wi-Fi 6, as well as offer data analytics and artificial intelligence. VenuTrax, developed by our Green Zebra Smart Labs division, will also reimagine enterprise venue location data, wireless visual engagement, and user experience. VenuTrax has a targeted release date of Fall 2021 for both NFL and NCAA venue location opportunities. “This is an exciting time for GZ6G Technologies and our recently formed Green Zebra Smart Labs division. VenuTrax has been developed to revolutionize how cities and venues operate, providing access to in venue data in real-time, allowing venues to use that relevant data in order to create visual simulations and data forecasting with past, present & future growth capabilities beyond today’s wireless connectivity,” said Coleman Smith, President and CEO of GZ6G Technologies Corp. “Having access to these venue data elements increases predictable outcomes and is expected to dramatically assist venues to manage user experiences, relevant announcements and monetization expectations while saving time and staying on budget.” VenuTrax Cloud capabilities include: • Location visual simulation • Location monetization simulation • Real-time visual user engagement • Historical venue data & impressions • Historical venue AI trends and search capabilities VenuTrax has been designed to solve venue and city pain points by utilizing existing location data and reimagining the user experience from on-boarding, real time monitoring, and initial insight creation to AI-driven deep exploration, and sharing, allowing venues to take focused action based on real time data vs. venue simulation comparisons. With VenuTrax, users will be able to go beyond creating new insights by using data simulations and exploring existing data within their organization, including data created by third-party software and devices. VenuTrax leverages the underlying Venue Location graph to customize and rank results and outcomes for the particular venue users, engagement patterns, and keyword relevance. About GZ6G Technologies: GZ6G Technologies is the complete enterprise smart solutions provider for large venues and cities. Focused on enterprise advisory services and acquiring smart city solutions, developing innovative products, and overseeing smart cities and smart venues, GZ6G Technologies also assists in modernizing clients with innovative wireless IoT technology for the emerging 5G and Wi-Fi 6 marketplaces. Target markets include stadiums, airports, universities, and smart city projects.

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BIG DATA MANAGEMENT

Civis Analytics Launches Toolkit for a Data-Driven COVID Vaccine Campaign

Civis Analytics | February 23, 2021

Civis Analytics, a data science firm innovating at the intersection of public good and scientific best practices, today announced the launch of its COVID Vaccine Campaign Toolkit. This resource hub includes key information for organizations looking to use data to inform persuasive and equitable COVID vaccination outreach. The toolkit provides guidance on each aspect of an outreach campaign that requires a specific, tailored approach. These include: • Messaging and messenger: Results from scientific experiments to guide messaging and spokespeople, so the most persuasive language is used for each audience. This includes new research on employer-specific messaging, conducted in partnership with the U.S. Chamber of Commerce Foundation. Crystal Son, MPH, Director of Healthcare Analytics at Civis Analytics, also shares examples of counterintuitive findings, tangible advice for any vaccine campaign team, and comparisons to Civis research on other vaccine messaging. • Resource allocation: An interactive vaccine hesitancy map that visualizes which U.S. counties are most likely to need additional intervention to drive up vaccination rates. This map can guide groups that need to determine where to focus education or outreach efforts. • Process: Leveraging best practices from recent 2020 Census outreach campaigns, Civis outlines a five-step process organizations can follow to ensure their vaccine campaign is data-driven and set up for success. "Vaccine uptake is absolutely critical to herd immunity -- which is what we all need to recover from the pandemic," said Son. "Too often, we assume that a one-size-fits-all approach to public health campaigns can work. We continue to see that the language and messengers that work for one group can backfire with another -- so we really need to eliminate our own biases and rely on the data to guide our campaigns. For many of us, this is the most important campaign of our lifetime, and we need to do this right." About Civis Analytics Civis Analytics helps leading public and private sector organizations use data to gain a competitive advantage in how they identify, attract, and engage people. With a blend of proprietary data, technology and advisory services, and an interdisciplinary team of data scientists, developers, and survey science experts, Civis helps organizations stop guessing and start using statistical proof to guide decisions.

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Spotlight

Graph analytics, which is an analytics alternative that uses an abstraction called a graph model. The simplicity of this model allows for rapidly absorbing and connecting large volumes of data from many sources in ways that finesse limitations of the source structures (or lack thereof, of course). Graph analytics is an alternative to the traditional data warehouse model as a framework for absorbing both structured and unstructured data from various sources to enable analysts to probe the data in an undirected manner. Big data analytics systems should enable a platform that can support different analytics techniques that can be adapted in ways that help solve a variety of challenging problems. This suggests that these systems are high performance, elastic distributed data environments that enable the use of creative algorithms to exploit variant modes of data management in ways that differ from the traditional batchoriented approach of traditional approaches to data warehousing

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