BIG DATA MANAGEMENT

Centers for Disease Control and Prevention (CDC)’s Data, Analytics, and Visualization Task Force Subcontract Awarded to Aveshka, Inc.

Aveshka, Inc. | July 12, 2021

Centers for Disease Control and Prevention (CDC) recently awarded Aveshka, a trusted provider of data analytics capabilities and subject matter expertise in the public health realm, a subcontract with Data, Analytics, and Visualization Task Force (DAVTF). Aveshka is currently serving as a subcontractor to Booz Allen Hamilton Program.

Under the contract, Aveshka will continue its essential work in supporting the nation’s COVID-19 response. It currently supports agencies to include Departments of Justice, Defense, Health and Human Services, and Homeland Security; as well as federal financial agencies, state and local agencies, and numerous commercial clients on pandemic response. Aveshka's health scientists and scientific data analysts will support the DAVTF in its objective to identify, track, and monitor COVID-19 cases and its spread and containment.

Aveshka’s constant work in the Covid-19 pandemic has been solidified with this award. Aveshka has multidisciplinary teams of specialists utilizing a tailored method to every engagement. Many organizations have sought Aveshka’s expertise and discipline to support the return to office efforts operational continuity, workforce protection, and readiness for future waves and other disruptive events.

ABOUT AVESHKA, INC.
Aveshka is a thought leader that integrates strategy, technology, and innovation to deliver cutting edge, breakthrough solutions that strengthen the nation against security threats. Aveshka accelerates the advantage for its customers' missions, rendering them protected today and prepared for a safer and smarter tomorrow.

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DATA SCIENCE

Introducing Neo4j Graph Data Science as a Service

Neo4j | April 13, 2022

Neo4j®, the world's leading graph data platform, announced Neo4j Graph Data Science, the company's comprehensive graph analytics workspace built for data scientists, is now available with new and enhanced capabilities, and as a fully managed cloud service called AuraDS. AI and machine learning (ML) have propelled the use of predictive data architectures and their application across a broad range of use cases like recommendation engines, fraud detection, and customer 360 scenarios. The accuracy of these models is highly correlated to the completeness of context. Neo4j Graph Data Science is designed to make it easy for data scientists to achieve greater predictive accuracy with comprehensive graph analysis techniques. Users can improve models through a library of graph algorithms, ML pipelines, and data science methods. Neo4j Graph Data Science has been widely adopted and is trusted to perform at scale, easily handling hundreds of billions of nodes and relationships. "Neo4j Graph Data Science offerings help developers offer better predictions and stronger recommendation engines to business users. Customers can now deploy Graph Data Science on Google Cloud's trusted, global infrastructure, gaining the ability to seamlessly scale based on business needs, and bringing their data closer to BigQuery and Google Cloud's capability in AI, ML, and analytics. Ritika Suri, Director, Technology Partnerships at Google "More software developers are looking to data science for ways to offer better predictions and stronger recommendation engines to users. Google Cloud and Neo4j Graph Data Science products help software developers and data scientists who are building the world's next set of intelligent applications by leveraging the power of graph algorithms to bring context to data and improve their models," said Suri. Neo4j Graph Data Science makes it easy for data scientists to work within their existing data pipeline of tools across their ecosystem. Data scientists can use Neo4j Graph Data Science on-premises, and now as a fully managed SaaS solution via Neo4j AuraDS. According to Zack Gow, CTO of Orita, Neo4j Graph Data Science has enabled his team to be more responsive to customer needs. "Scale is always top of mind for us because we're processing data that comes from our customers. We never know just how big a customer's data set will be and we chose Neo4j because we knew it could handle the scaling of an order of magnitude more than what we were expecting," Gow said. "Even in the early days, when we were trying out a bunch of tools, Neo4j worked for us immediately. Some of the tools we looked at didn't work at all. Neo4j Graph Data Science got our data into a graph so we could start doing the data science part quickly. As a start up, we don't have time to waste on tools that are cumbersome." Matthew Bernardini, CEO of Zenapse, shared the impact of Neo4j Graph Data Science on his business. "We chose Neo4j Graph Data Science on AuraDS because it is a completely managed, cloud-based infrastructure combined with an elegant and user-friendly set of tools and extensive library of production-ready data science algorithms that gives us confidence in our platform and allows us to focus on our data and application development," said Bernardini. "Neo4j Graph Data Science makes it easy to quantify the relationships and similarities that exist in the digital world and to surface new insights about these connected relationships." Neo4j AuraDS: Graph Data Science on Google Cloud Platform Neo4j AuraDS is the power of Graph Data Science available as a fully managed service. It includes access to over 65 graph algorithms in a single workspace so data scientists can experiment faster. In-graph ML models and the native Python client help increase productivity and simplify workflows. Neo4j AuraDS is available first on Google Cloud's secure, global, and highly performant structure, and can be paid for with existing Google Cloud commitments or with a credit card. In addition to the Graph Data Science core functionality, AuraDS customers benefit from: Simple, powerful workflow: A drag-and-drop UI to model and import data into a graph. Scale up and down: Manage access to high compute hardware on-demand as needs change. Automated operations: Workloads are monitored, patched, and backed up behind the scenes without any user action. MLOps support: Persist, publish, and restore models without interruptions from restarts. Predictable cost: Manage costs with pay-as-you-go pricing and the option of pausing unused instances. One-click backup: Take a snapshot of instances, models, and in-memory graphs in one click. For guidance and reference architectures on how to get started using Neo4j AuraDS with VertexAI, see Use graphs for smarter AI with Neo4j and Google Cloud Vertex AI. More About Neo4j Graph Data Science and AuraDS To learn more about Neo4j Graph Data Science as a service, AuraDS, read this blog post or tune in to an upcoming webinar, "What's New in Graph Data Science: Faster and Easier Than Before," on Tuesday, April 26, 2022. About Neo4j Neo4j is the world's leading graph data platform. We help organizations – including Comcast, ICIJ, NASA, UBS, and Volvo Cars – capture the rich context of the real world that exists in their data to solve challenges of any size and scale. Our customers transform their industries by curbing financial fraud and cybercrime, optimizing global networks, accelerating breakthrough research, and providing better recommendations.

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BIG DATA MANAGEMENT

Precisely Extends Data Integrity Leadership with New Innovations in First-of-its-Kind Data Integrity Suite

Precisely | June 22, 2022

Precisely, the global leader in data integrity, today launched its new Precisely Data Integrity Suite – bringing the latest innovation in data integrity to the market. Announced at the company’s Trust ’22 event, the Data Integrity Suite is composed of seven interoperable SaaS modules that can be deployed individually, or seamlessly combined to deliver exponential value – fuelling businesses with unparalleled levels of trusted data. The announcement comes at the same time as the latest IDC Spotlight paper on “Improving Data Integrity and Trust through Transparency and Enrichment,” shows that only 27% of data professionals say they completely trust their data. With 63% of organizations reporting that higher levels of data integrity make a positive impact on their business metrics 1, the launch of the new Data Integrity Suite is a timely one. “Data integrity is an imperative for every business, but the journey to achieving it is different for every organization. With the Precisely Data Integrity Suite, businesses can start anywhere, go at their own pace, and grow value at every step of their unique journey. “Our unmatched breadth of data integrity capabilities and enrichment data, combined with our strategic services expertise, means that we can help businesses chart their path to data integrity and lead them along the way.” Eric Yau, COO at Precisely The Suite’s Data Integration, Data Observability, and Data Governance modules are available for early access now for businesses looking to build a foundation of accuracy and consistency in their data: Data Integration: enables organizations to break down silos by quickly building streaming data pipelines that integrate data from core transaction systems into modern data platforms, driving innovation, and modernizing mission-critical infrastructure Data Observability: a new entry from Precisely into this rapidly growing market, proactively and intelligently detects and surfaces data anomalies before they become costly downstream issues that could disrupt business Data Governance: delivers a business-friendly framework to find, understand, trust, and leverage critical data across an organization for better outcomes and insights, improved operations, and regulatory compliance The following modules will join the Data Integrity Suite in the coming months: Data Quality: delivers data that is accurate, consistent, complete, and fit for purpose across operational and analytical systems Geo Addressing: unlocks valuable context by verifying, standardizing, cleansing, and geocoding addresses for more informed decision-making Spatial Analytics: derives and visualizes spatial relationships hidden in data to reveal critical context for better decisions Data Enrichment: enriches data with expertly curated datasets containing thousands of attributes for faster, more confident decisions The Data Integrity Suite delivers access to trusted data at the speed of business and empowers organizations to make fast, confident decisions that drive growth, reduce costs, and manage risk. With a business-friendly user experience, it supports data democratization and self-service access to data for business and data users alike. Its unique Data Integrity Foundation includes a common data catalog that enables each module to build on metadata previously gathered by other modules, combining seamlessly to deliver maximum value to the customer. “With the launch, Precisely is delivering on the vision they have painted for the market of integrating its capabilities into a modular, interoperable suite,” said Stewart Bond, Research Director at IDC. “Precisely has a strategic blend of technology and services within its portfolio to meet the needs of organizations with legacy and modern data environments that are wanting to compete in a digital-first world.” “Businesses are increasingly investing in DataOps to continually improve the data they use for analytics and decision-making. The Precisely Data Integrity Suite’s end-to-end, integrated approach to data integration, data governance and quality, as well as location intelligence and data enrichment gives organizations all the tools and agility they need to automate and iterate on the integrity of their data,” said Anjan Kundavaram, CPO at Precisely. “The introduction of the Suite’s Data Observability module is essential for DataOps teams, allowing them to leverage AI and machine learning to gain critical insight into the health of their company’s data, monitor changes to patterns in that data, and proactively resolve potential issues.” Financial services company, Degroof Petercam, a Precisely customer and participant in the Data Integrity Suite’s early access program, sees clear benefits of the new Data Observability module. “Observability is the missing piece today to give our data stewards access to data discovery insights without having to go to IT for queries or reports.” explains Jean-Paul Otte, Chief Data Officer at Degroof Petercam. “The portfolio of data integrity assets that Precisely offers is the gold standard for building trusted data,” said Yau. “That same technology, recognized by industry analysts and relied upon by over 12,000 customers to address their data challenges today, is at the heart of the new Precisely Data Integrity Suite – providing the ultimate modular, interoperable, solution for organizations relying on data integrity across both legacy and modern cloud environments.” About Precisely Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 99 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes.

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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

Alibaba Cloud Forms Partnership with Starburst To Bring The Analytics Engine For Data Mesh to Asia-Pacific Region

Starburst | December 22, 2021

After a year of record financing and year-over-year growth across sales channels, hiring and the global customer base, Starburst, the analytics anywhere company, is announcing a partnership with Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, to deliver Starburst Enterprise to the Greater China market. Through this partnership, Alibaba Cloud is providing engineering to integrate Starburst Enterprise on Alibaba Cloud, as well as providing the sales, services, and support resources needed to deliver a seamless customer experience. Starburst is currently available on major public and private cloud platforms, including AWS, Azure, GCP, Red Hat, and HPE, but this partnership is a key step in providing the analytics engine for data mesh to Alibaba Cloud customers in Greater China. According to IDC, over the past five years, the compound annual growth rate of China's public cloud market has reached 61.1%, which is significantly higher than the 23.8% growth in the United States. With 87.4% of Chinese firms using open-source technologies, making Chinese users the second most prolific group on GitHub after the United States, this expansion presents a huge market opportunity for Starburst to enable Alibaba Cloud customers to provide better data access through a data mesh architecture, deliver data as a product and empower business users to make more informed decisions. "China, like the rest of the world, has been impacted by the digital pressure spurred on by the pandemic," said Dr Jia Yangqing, VP of Alibaba Group, Senior Fellow of the Computing Platform, Alibaba Cloud Intelligence. "As long-time users and supporters of the Trino project, we're very excited to leverage the open-source community and now this enterprise distribution of Starburst on Alibaba Cloud so that large enterprises in China can take advantage of its power to accelerate their digital transformation initiatives in the face of the challenges created by the pandemic." With this partnership, Starburst is now uniquely available on nearly every major platform and can be seamlessly procured through their marketplaces. The Alibaba Cloud partnership comes on the heels of Starburst's recent release of Stargate, a new product offering that is intended to serve as a single point of access to data across borders, with fast query performance, while meeting data privacy and sovereignty requirements. Through this partnership, companies based in China and China-based subsidiaries of multinational companies can now easily leverage these powerful, global analytics capabilities to build architectures that reflect today's global nature of business. "Global companies find that their enterprise data is increasingly spread across multiple clouds and disparate geographic regions. Starburst's vision is to unlock the analyst within us all and allow access to all of a company's data, no matter where it resides. So we naturally want to be everywhere our customers want to be. Alibaba Cloud is the perfect partner to help us extend our analytics engine for this global data mesh to the greater China market and facilitate a deeper level of hybrid analytics that hasn't previously been possible in this region." Justin Borgman, CEO of Starburst After a year of explosive growth, Starburst is poised to continue its mission of bringing analytics anywhere. This partnership is a key step in achieving that mission. To learn more, please visit starburst.io. About Starburst Starburst is the analytics engine for the data mesh. We unlock the value of distributed data by making it fast and easy to access, no matter where it lives. Starburst queries data across any database, making it instantly actionable for data-driven organizations. With Starburst, teams can lower the total cost of their infrastructure and analytics investments, prevent vendor lock-in, and use the existing tools that work for their business. Trusted by companies like Comcast, FINRA, and Condé Nast, Starburst helps companies make better decisions faster on all data.

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