DATA SCIENCE

Geospatial Analytics Releases New Set of Analytical Solutions

Geospatial Analytics | December 08, 2020

Geospatial Analytics®, a real estate programming advancement organization, announced the release of another arrangement of logical arrangements. The set-up of items comprises of Analytic Calculators™, Analytic Widgets™, Analytic Predictors™, and Analytic Pods™, which are an essential segment of the Geospatial Analytics® industry-driving real estate the board SaaS set-up of arrangements.

An information analytics arrangement, Analytic Calculators™ empowers clients to answer significant business computations. Insightful Widgets™ empowers clients to get to information from different sources and perform search capacities with it. Insightful Pods™ permit clients to daisy chain number crunchers and gadgets together to tackle issues. Everything arrangements can be gotten to by a cell phone, tablet, or PC.

For example, a specialist comes to supplant a store's roof tiles. The floor plan is sporadic, yet he chooses from floorplans in an Analytic Calculator™, places in the estimations, and the adding machine decides the material sum required. He at that point utilizes an Analytic Widget™ to figure out what stores have the tiles, the expenses, and the distance to each store. Getting to an Analytics Calculator™, amassed inside an Analytic Pod™, he figures out which store to visit utilizing these computations for the ideal monetary choice. The board can utilize Analytic Predictors™ to total the outcomes from professionals, considering labor force and asset arranging and estimating of future interest.

"Analytics has historically been the domain of Data Scientists and the C-Suite, providing invaluable insight at the enterprise level," said Cynthia Timm, president of Geospatial Analytics. "Operational processes and front line workers have not been able to leverage the significant advantages of analytics in everyday tasks. These tasks are performed literally tens of thousands of times per day throughout the industry, wasting millions of dollars due to inefficiencies.  Management now can have access to all of that information to make strategic decisions regarding operations. By democratizing analytics, Geospatial Analytics® is revolutionizing the use of analytics in business environments and transforming the industry."

About Geospatial Analytics®

Geospatial Analytics® is a development firm specializing in cost-effective and agile real estate management software that empowers property owners and facility managers with analytics to strategically manage their businesses. They serve some of the world's largest companies in retail, finance, healthcare, and more, with over $1 trillion in combined real estate valuations.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

EY announces alliance with Databricks to help companies solve data, analytics and AI challenges

EY | December 13, 2022

The EY organization today announces an alliance between Databricks, a data lakehouse company, and Ernst & Young LLP (EY US) to help organizations simplify and democratize data, analytics and artificial intelligence (AI). Combining the knowledge, business insights and consulting capabilities of EY data scientists with Databricks' Lakehouse Platform, the alliance will help enable massive-scale data engineering, machine learning (ML) and business analytics for organizations across nearly every industry. Databricks has become a cornerstone for companies looking to put data at the center of their business strategy by pioneering the data lakehouse category and providing advanced technologies that analyze and transform complex data sets into insights and solutions. The Databricks Lakehouse Platform brings together the best qualities of data warehouses and data lakes to help organizations accelerate innovation through critical data-driven use cases — from data warehousing and data streaming to data science and ML — on an open unified platform. As a long-time consumer of Databricks, EY US has seen first-hand the platform's immense value, having implemented it for a number of internal use cases. One notable example, the EY organization's proprietary solution, Trusted Data Fabric, is underpinned by Databricks. Together, the technology embeds trust to reduce the risk of data misuse, providing a platform for secure and ethical use of intelligence-enriched assets. Greg Sarafin, EY Global Partner Ecosystem Leader Entering into an alliance with Databricks strengthens our ability to address the needs of clients seeking to gain significant business benefits from their data, whether for operational efficiency, stakeholder experiences, risk mitigation or creating entirely new sources of revenue. EY teams offer the breadth of services necessary to turn data insights at scale into enterprise value, enabled by Databricks' Lakehouse and the extraordinary AI and ML capabilities of that platform. Kori O'Brien, SVP, Global Consulting & SI Partners at Databricks "We are thrilled to welcome EY US to the Databricks partner ecosystem to help data-driven organizations adopt the Lakehouse Platform and deliver more value to their businesses with data, analytics and AI. We look forward to continuing to innovate with EY teams and provide new capabilities, services and tailored industry solutions for our joint customers to unlock the power of their data with a lakehouse." About EY EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Neo4j Announces General Availability of its Next-Generation Graph Database Neo4j 5

Neo4j | November 09, 2022

Neo4j®, the leader in graph technology, announced today the general availability of Neo4j 5, the next-generation cloud-ready graph database. Neo4j 5 widens the performance lead of native graphs over traditional databases while providing easier scale-out and scale-up across any deployment, whether on-premises, in the cloud, hybrid, or multi cloud. The result empowers organizations to more quickly create and deploy intelligent applications at large scale and achieve greater value from their data. "Graph technology adoption is accelerating as organizations seek better ways to leverage connections in data to solve complex problems at scale," said Emil Eifrem, CEO and Co-founder of Neo4j. "We designed Neo4j 5 to deliver the type of scalability, agility, and performance that enable organizations to push the envelope on what's possible for their data and their business." Neo4j 5's specific benefits include: Query language improvements and up to 1000x faster query performance. New syntax makes it even easier to write complex pattern-matching queries. Improvements in indexes, query planning, and runtime make Neo4j 5 the fastest implementation ever. For example, multi-hop queries can now be executed up to 1000x faster than Neo4j 4. These improvements are above and beyond the already exponentially faster Neo4j's graph results over traditional databases. Together, these benefits enable more real-time results at scale. Automated scale-out across hundreds of machines, enabling self-managed customers to grow and handle a massive number of queries with little manual effort and significantly less infrastructure cost. This benefit is achieved via new and enhanced features like Autonomous Clustering and Fabric, enabling organizations to efficiently operate very large graphs and scale out in any environment. Neo4j 5 also automates the allocation and reassignment of computing resources. Continuous updates across all deployments, whether in the cloud, multi-cloud, hybrid, or on-prem. Neo4j 5 ensures ongoing compatibility between self-managed and Aura workloads managed by Neo4j. In addition, a new tool called Neo4j Ops Manager provides a unified single pane for easy monitoring and management of global deployments, giving customers full control over their environments. Neo4j 5 performance lead sets a new industry bar More than 1,300 organizations trust Neo4j's technology to power mission-critical applications while maintaining performance, security, and data integrity. Neo4j 5 extends the company's leadership even further at a time when graph adoption is exploding. "Switching to Neo4j was a huge win for us," said David Fox, Senior Software Engineer at Adobe and Co-founder & Engineering Lead at devRant. "We've seen significant performance improvements, and a great reduction in complexity, storage, and infrastructure costs. Staff now focus on improving the infrastructure, versus spending time frustratingly micro-managing it." For more information To learn more about Neo4j 5, visit the Neo4j 5 web page, read "Scale New Heights with Neo4j 5 Graph Database," or register for the following sessions at the upcoming online developer conference NODES 2022: "What's New in Neo4j 5 and Aura 5 for Developers" and "Introducing Neo4j 5 for Administrators." 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. Neo4j delivers real-time transaction processing, advanced AI/ML, intuitive data visualization, and more.

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DATA VISUALIZATION

Opaque Systems, Pioneer in Confidential Computing, Unveils the First Multi-Party Confidential AI and Analytics Platform

Opaque Systems | December 08, 2022

Opaque Systems, the pioneers of secure multi-party analytics and AI for Confidential Computing, today announced the latest advancements in Confidential AI and Analytics with the unveiling of its platform. The Opaque platform, built to unlock use cases in Confidential Computing, is created by the inventors of the popular MC2 open source project which was conceived in the RISELab at UC Berkeley. The Opaque Platform uniquely enables data scientists within and across organizations to securely share data and perform collaborative analytics directly on encrypted data protected by Trusted Execution Environments (TEEs). The platform further accelerates Confidential Computing use cases by enabling data scientists to leverage their existing SQL and Python skills to run analytics and machine learning while working with confidential data, overcoming the data analytics challenges inherent in TEEs due to their strict protection of how data is accessed and used. The Opaque platform advancements come on the heels of Opaque announcing its $22M Series A funding, Confidential Computing – projected to be a $54B market by 2026 by the Everest Group – provides a solution using TEEs or 'enclaves' that encrypt data during computation, isolating it from access, exposure and threats. However, TEEs have historically been challenging for data scientists due to the restricted access to data, lack of tools that enable data sharing and collaborative analytics, and the highly specialized skills needed to work with data encrypted in TEEs. The Opaque Platform overcomes these challenges by providing the first multi-party confidential analytics and AI solution that makes it possible to run frictionless analytics on encrypted data within TEEs, enable secure data sharing, and for the first time, enable multiple parties to perform collaborative analytics while ensuring each party only has access to the data they own. "Traditional approaches for protecting data and managing data privacy leave data exposed and at risk when being processed by applications, analytics, and machine learning (ML) models, The Opaque Confidential AI and Analytics Platform solves this challenge by enabling data scientists and analysts to perform scalable, secure analytics and machine learning directly on encrypted data within enclaves to unlock Confidential Computing use cases." -Rishabh Poddar, Co-founder & CEO, Opaque Systems. Strict privacy regulations result in sensitive data being difficult to access and analyze, said a Data Science Leader at a top US bank. New multi-party secure analytics and computational capabilities and Privacy Enhancing Technology from Opaque Systems will significantly improve the accuracy of AI/ML/NLP models and speed insights. The Opaque Confidential AI and Analytics Platform is designed to specifically ensure that both code and data within enclaves are inaccessible to other users or processes that are collocated on the system. Organizations can encrypt their confidential data on-premises, accelerate the transition of sensitive workloads to enclaves in Confidential Computing Clouds, and analyze encrypted data while ensuring it is never unencrypted during the lifecycle of the computation. Key capabilities and advancements include: Secure, Multi-Party Collaborative Analytics – Multiple data owners can pool their encrypted data together in the cloud, and jointly analyze the collective data without compromising confidentiality. Policy enforcement capabilities ensure the data owned by each party is never exposed to other data owners. Secure Data Sharing and Data Privacy – Teams across departments and across organizations can securely share data protected in TEEs while adhering to regulatory and compliance policies. Use cases requiring confidential data sharing include financial crime, drug research, ad targeting monetization and more. Data Protection Throughout the Lifecycle – Protects all sensitive data, including PII and SHI data, using advanced encryption and secure hardware enclave technology, throughout the lifecycle of computation—from data upload, to analytics and insights. Multi-tiered Security, Policy Enforcement, and Governance – Leverages multiple layers of security, including Intel® Software Guard Extensions, secure enclaves, advanced cryptography and policy enforcement to provide defense in depth, ensuring code integrity, data, and side-channel attack protection. Scalability and Orchestration of Enclave Clusters – Provides distributed confidential data processing across managed TEE clusters and automates orchestration of clusters overcoming performance and scaling challenges and supports secure inter-enclave communication. Confidential Computing is supported by all major cloud vendors including Microsoft Azure, Google Cloud and Amazon Web Services and major chip manufacturers including Intel and AMD. About Opaque Systems: Commercializing the open source MC2 technology invented at UC Berkeley by its founders, Opaque System provides the first collaborative analytics and AI platform for Confidential Computing. Opaque uniquely enables data to be securely shared and analyzed by multiple parties while maintaining complete confidentiality and protecting data end-to-end. The Opaque Platform leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification. This combination ensures that the overall computation is secure, fast, and scalable. The MC2 technology and Opaque innovation has already been adopted by several organizations, such as Ant Group, IBM, Scotiabank, and Ericsson.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Alation Brings Trusted Data to Spreadsheet Users with Alation Connected Sheets

Alation | November 29, 2022

Alation Inc., the leader in enterprise data intelligence, today announced the launch of Alation Connected Sheets, a new product stemming from the company’s acquisition of Kloud.io. Alation Connected Sheets enables business users to pull trusted, governed, and up-to-date data from data sources into spreadsheets, including Google Sheets and Microsoft Excel1, via Alation Data Catalog. Spreadsheets are foundational for business decision-making across every industry. According to IDC2, there are 78 million advanced spreadsheet users worldwide. While both static in nature and disconnected from data sources, spreadsheets remain the preferred tool for business users; however, 90% contain errors. Data within spreadsheets is often copied-and-pasted from one spreadsheet to another or downloaded into CSV files via untraceable data sources. Without the proper management and effective data governance of spreadsheets, organizations suffer from significant productivity losses and expose themselves to increased risk because critical business decisions are based on inaccurate and ungoverned data. Alation Connected Sheets solves this problem by meeting business users where they are: spreadsheets, including Google Sheets and Microsoft Excel. Now, business users across the enterprise can easily find, understand, and use trusted data from spreadsheets with confidence. Alation Connected Sheets increases business user productivity by enabling them to find, filter, import, and refresh data without having to learn a new tool or querying language. Alation Connected Sheets is available immediately as an add-on in Google Sheets, and for Microsoft Excel in early 2023. Key benefits of Alation Connected Sheets: Brings trust and governance to spreadsheets: By integrating with Alation Data Catalog, unique governance features such as TrustFlags signal if data is endorsed, warned, or deprecated, helping users pull in the best and most appropriate data, directly from the source. Effortless setup, use, and maintenance: With a simple user interface and easy-to-use filters, data can be imported and automatically refreshed without relying on technical resources like data engineers or analysts. Risk mitigation: By leveraging existing security credentials, only authorized users can pull in and use live, compliant, and trustworthy data in a spreadsheet. “As it stands, business spreadsheets are often created using copy/paste functions or downloading static data that doesn’t sync with source data,” said David Menninger, SVP & Research Director, Ventana Research. “It's one of the most pervasive data governance challenges organizations face that significantly deteriorates productivity at scale. Without a traceable data lineage, multiple iterations of the same project are created using different formulas, data sources, and deprecated or low-quality data. Alation Connected Sheets helps solve this problem. Now, spreadsheet users can quickly retrieve governed data from a single source with confidence in the data they’re using – all natively within the spreadsheet.” “Harnessing the power of an organization’s data to drive fast, accurate business decisions is challenging for any employee,” said Raj Gossain, Chief Product Officer, Alation. “Business users routinely rely on the simplicity, power, and ubiquity of spreadsheets to do their jobs. But the data that powers spreadsheets is typically copied from other sheets or downloaded into CSV files, creating real risk for every business. Alation Connected Sheets combines the power of trusted, governed data with the ease of use of the spreadsheet. Now spreadsheets can be a trusted enterprise data asset instead of an invisible liability, empowering every business user with the best data the enterprise has to offer.” “Alation Connected Sheets will allow us to work natively in a familiar spreadsheet environment while connecting to the catalog and enabling spreadsheet governance. “Now, we can manage the countless spreadsheets we rely on to make critical business decisions, govern our spreadsheets, and limit regulatory compliance risk of exposing private information. Alation Connected Sheets will make our advanced spreadsheet users more productive because they can self-serve trusted data without being blocked by limited data engineering resources. Data teams will now be able to focus on complex analyses that drive the business forward; time otherwise spent pulling and verifying fresh data or tracing lineage.” Sara Cook, Director of Data Science and CMC Statistics, Novavax As the result of Alation’s second acquisition, Kloud.io CEO and co-founder Krishna Bhat and CTO and co-founder Sathish Raju have joined the company. “We created this technology to make it easy for anyone in an enterprise to pull data from other sources into a spreadsheet, without needing the deep technical understanding of underlying databases or data lakes,” said Krishna Bhat, Senior Director of Product Management, Alation. “Alation Connected Sheets is the result of a synergy between the technology that connects spreadsheets to source applications and Alation’s market-leading data intelligence platform,” said Sathish Raju, Senior Director of Engineering, Alation. About Alation Alation is the leader in enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. Nearly 450 enterprises drive data culture, improve decision-making, and realize business outcomes with Alation, including AbbVie, Allianz Global Investors, American Family Insurance, Autozone, Cisco, Draft Kings, Exelon, Fifth Third Bank, Finnair, General Mills, Munich Re, NASDAQ, Parexel, Pfizer, Salesforce, Virgin Australia, and Vistaprint. Headquartered in Silicon Valley, Alation has been named to Inc. Magazine’s Best Workplaces list three times, is a 2022 UK’s Best Workplaces™ for Women, and recognized as a 2022 UK’s Best Workplaces™ in Tech. The company is backed by leading venture capitalists, including Blackstone, Costanoa, Databricks Ventures, Data Collective, Dell Technologies Capital, Hewlett Packard Enterprise, Icon, ISAI Cap, Riverwood Capital, Salesforce Ventures, Sanabil Investments, Sapphire, Snowflake Ventures, Thoma Bravo, and Union Grove.

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