Big Data Management

iMerit Unveils Innovative Solution for Radiology AI Data Challenges

iMerit Unveils Innovative

iMerit, a prominent player in the field of artificial intelligence (AI) data solutions, has unveiled its latest offering, the Radiology Annotation Product Suite. This innovative suite is designed to cater to the needs of medical AI developers by providing advanced automation, annotation, and analytics capabilities.

This new product suite is firmly rooted in iMerit's Ango Hub platform, an end-to-end enterprise-grade technology platform that is specifically tailored to deliver top-notch data annotation tools for AI development teams. Within this suite, a comprehensive range of solutions awaits, including data sourcing, workflow design, cutting-edge data annotation tools, and the invaluable input of human experts, all seamlessly integrated into a single platform. This unique fusion of iMerit's technological prowess and radiology expertise ensures a smooth journey from training data all the way to regulatory benchmarking.

A significant hurdle in radiology AI applications is the demand for specialized tools and insights from domain experts to ensure the necessary accuracy and precision in training data. For developers, the Radiology Annotation Product Suite offers a one-stop solution, combining automation, annotation tools, and analytics within a single platform, facilitating the creation of precise data pipelines essential for quick scaling radiology AI solutions into production.

Sina Bari MD, Senior Director of Medical AI at iMerit, explained that their suite aims to combine human expertise, data management, and automation in a single solution.

Notable features include

  • Customized workflows designed for Radiologists with consensus and multistep capabilities.
  • Diagnostic-level annotation accuracy with multiplanar functionality and 3D volume rendering.
  • Efficient annotation facilitated by smart automation tools and model integration.
  • Stringent data security and regulatory compliance, including CFR 21 Part 11, HIPAA, and SOC2.

This solution seamlessly integrates U.S. and offshore experts, including board-certified radiologists, all within a highly secure end-to-end platform, ensuring cost-effective scaling of annotation efforts.

Radha Basu, Founder and CEO of iMerit, emphasized the importance of their work, stating that they understand the challenges of developing AI applications and that their suite was built to scale data annotation efforts with high quality, accuracy, and speed.

About iMerit

iMerit is a prominent AI data solutions company specializing in data services such as dataset creation, image tagging, sentiment analysis, data verification, and content aggregation. It serves Fortune 500 enterprises in various industries and have a global presence, with headquarters in the United States and teams in India, the US, Bhutan, and Europe. iMerit's investors include Omidyar Network, Dell.org, Khosla Ventures, and British International Investment.

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Big Data Management

Immuta Launches Immuta Discover for Enhanced Data Security and Compliance

PR Newswire | October 31, 2023

Immuta, a data security leader, today announced the release of Immuta Discover, a new product for automated tagging and classification on cloud data platforms. Immuta Discover enables data teams to establish and maintain highly accurate metadata for the primary purpose of data access control, monitoring and regulatory compliance. Immuta Discover automatically and continuously discovers structured data in cloud data platforms. It can also leverage existing metadata pulled from enterprise data catalogs like Alation. Leveraging all of this metadata, Immuta Discover provides visibility of all sensitive data, which is critical for building data policies to protect the data and analyzing its usage. As a core pillar of Immuta's comprehensive Data Security Platform, Immuta Discover eliminates manual, error-prone processes and helps organizations improve data security, gain full visibility into their data and unlock its value. Discovering, tagging and classifying sensitive data with highly accurate and descriptive metadata is a critical component of a successful data security strategy. However, today's organizations are burdened with increasingly dispersed data as the number of data sources and users continues to grow. Existing solutions are not designed to tag and classify data across all of these sources with the accuracy and granularity required for security and governance. The lack of accurate metadata creates security gaps and blind spots, making it difficult to meet stringent compliance regulations. Immuta Discover allows data teams to easily and accurately scan, classify and tag data so they can apply data control policies and monitor data access. This allows teams to gain full visibility and context into all of their data assets, and better protect and monitor their sensitive data for enhanced data security posture management. Immuta offers 60+ pre-built and domain-specific classifiers, providing organizations with the flexibility to tailor data classifications to their unique business needs and based on their desired confidence levels. Immuta Discover is the foundational component to making any data security program work within your organization and to remain compliant, said Mo Plassnig, Chief Product Officer at Immuta. It's the first step that must happen in order to protect your data. Data is constantly changing in today's digital age. Organizations must fully understand what data they have – with accurate classification – and maintain a trustworthy inventory of sensitive data across cloud platforms in order to meet growing data security and access demands. And Immuta Discover helps our customers accomplish just this. With Immuta Discover, customers can automatically identify and classify sensitive data by leveraging the following new capabilities: Accurate and actionable metadata for data security – Immuta Discover provides accurate, granular metadata and actionable tags on sensitive data so users can seamlessly secure data across cloud platforms at scale. The product enables full metadata visibility into what data requires access controls and auditing. The metadata can be leveraged directly in Immuta Secure to govern the data and in Immuta Detect to monitor data access. Agentless, multi-cloud data discovery – Immuta Discover scans and classifies data natively, with no software to install and no agent running next to the cloud data platform. The data never leaves the data platform. This approach simplifies operations and is secure and compliant, enabling data teams to be more efficient with an always up-to-date data inventory. Out-of-the-box and customizable regulatory frameworks – Immuta Discover automatically categorizes data that is subject to leading regulatory frameworks such as CCPA, GDPR, HIPAA, or PCI, to implement compliant access control policies. These frameworks are created and maintained by Immuta's in-house Legal Engineering Team, and additionally enable customers to customize frameworks based on their interpretations of specific regulations for accelerated compliance. "I am thrilled to see the addition and announcement of Immuta Discover to Immuta's Data Security Platform," said Sanjeev Mohan, former Gartner analyst and founder of SanjMo. "Efficiently tagging and classifying data is a critical first step in protecting it against the growing number of threats in today's data management landscape. Being able to scan data natively in the cloud data platform is an innovation that enables data discovery at scale." Immuta offers a comprehensive Data Security Platform that enables sensitive data discovery, security and access control and activity monitoring. Immuta Discover automatically discovers and classifies sensitive data relevant to the leading regulatory frameworks. Immuta Detect adds critical user and data access behavior monitoring and auditing. And, Immuta Secure provides scalable data access control and enforcement across cloud data platforms. Together, these capabilities give customers comprehensive data security and governance for analytic workloads. About Immuta Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, data activity monitoring, and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA. To learn more about Immuta, click here.

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Data Architecture

Neo4j Enhances Cloud Database Performance Enabling up to 100X Faster Analytics and Real-Time Decision Making

Cision | October 27, 2023

Neo4j, the world's leading graph database and analytics company, announced major new capabilities enabling cloud or self managed customers to increase analytical queries by up to 100x faster, run both transactional and analytical processing within one database, and automatically track data changes in real time for faster mission-critical decision making. Neo4j's integration of operational and analytical workloads within a single database is now enhanced by the power of parallel runtime and change data capture, empowering our customers with real-time insights, cost-efficient data management, and simplified architecture, said Sudhir Hasbe, Chief Product Officer, Neo4j. The results foster quicker decision-making, superior customer experiences, and a competitive edge in the market at a magnitude of speed, performance and agility that is far greater than ever before. New capabilities and benefits include: Up to 100X faster performance of analytical queries via Parallel Runtime capability, which adds concurrent threads across multiple CPU cores to run analytical graph queries. Neo4j also leverages a technique called morsel-based parallelism to optimize this capability, for greater scalability, better resource utilization, and seamless multitasking. Faster mission-critical decisions now enabled by native Change Data Capture (CDC), which automates the real-time tracking and notification of data changes in the database. CDC is also integrated with Neo4j Connector for Kafka and Confluent, which streams these changes for easier consumption across other data platforms and applications. Easier Knowledge Graph creation via new embedding models that predict and find missing relationships and infer new connections within an organization's knowledge graph for greater semantic understanding. New pathfinding algorithms that make complex workflows more efficient by identifying the best sequence and critical paths between nodes on a graph. "Neo4j's Change Data Capture capability enables us to synchronize the latest changes happening in our customers' various data sources simultaneously – and helps us guarantee that when they use Dropbox Dash, they can search and find their content accurately," said Anil Masakal, Engineering Leader, Dropbox. "Neo4j's new capabilities enable modern law enforcement agencies to react with greater agility to mission-critical events, empowering them to fight more crimes and solve them faster," said Christophe Willemsen, CTO, GraphAware. "For example, we can trigger alerts and send them to front-line officers when the phone number of a Person of Interest pings from a cellular tower near a high-risk event where a VIP is present, bodycam footage shows the image of a child at risk, and other events." These advancements follow a series of milestones for Neo4j. The company recently integrated native vector search into its core database capabilities, enabling more accurate, explainable, and transparent outcomes for LLMs and other generative AI applications. It earlier won Google Cloud's 2023 Technology Partner of the Year award in the data management category, and placement in CRN's 2023 Big Data 100. Neo4j was recognized for the first time in the 2022 Gartner Magic Quadrant for Cloud Database Management Systems, the first time that any native graph vendor was included in the report. About Neo4j Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j's full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j's community of data leaders comprises a vibrant, open-source community of more than 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs. Visit neo4j.com

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Business Intelligence

Alation Launches Analytics Cloud1 Elevating Data Culture Assessment

Alation | October 12, 2023

Alation, Inc., a prominent data intelligence company, has unveiled its latest offering, Alation Analytics Cloud1. This unified reporting platform empowers organizations to gain insights into their data usage and, in doing so, assess the effectiveness of their data initiatives and the overall maturity of their data culture. The stakes are high in today's data-driven landscape, given the vast opportunities associated with data, analytics, and AI, and organizations can no longer afford to operate with disjointed data efforts that lack a clear connection to value. Alarmingly, a vast majority of Chief Data Officers (CDOs) fail to accurately assess and price the business outcomes generated by their data and analytics efforts, as revealed by Harvard Business Review. Consequently, there is a pressing need for a framework that enables organizations to benchmark and enhance their data management capabilities as they become critical strategic endeavors. However, this void has persisted because organizations have lacked the tools required to quantify the value and impact of their data initiatives on their business operations. Moreover, disparate teams within organizations often employ distinct data analysis methods, emphasizing the necessity for a solution that facilitates the consistent assessment of critical usage statistics, thereby fostering the growth of a robust data culture. The Alation Analytics Cloud offers a framework to articulate the business value of data initiatives. Leveraging Alation's innovative Query Log Ingestion technology, leaders can gain insights into which data sources are most frequently accessed and which teams are executing specific queries. This knowledge enables data leaders to comprehensively map data consumption across the entire organization. These insights serve a dual purpose, facilitating the measurement of the effectiveness of diverse data programs and, subsequently, enabling an assessment of the maturity level of an organization's data culture. These insights can also be harnessed to optimize queries and rationalize data sources, for example, by expediting the migration of frequently used datasets or the retirement of data sources that are no longer in active use, thereby reducing costs. Key benefits of the Alation Analytics Cloud include the ability to: Measure Data Culture Maturity: Organizations can now measure their data culture maturity by examining four vital components: data leadership, data search and discovery, data literacy, and data governance. Score Data Programs: Data leaders are empowered to gauge the progress of their data initiatives using a variety of metrics, such as total assets curated, the number of active users, and many other relevant indicators. Map Data Consumption: Business and data leaders can gain visibility into the efficacy of individual data products by closely tracking actual usage. Reports provide valuable insights into which queries are being executed by specific users on various data stores, including details about the total execution time of database queries, thus pinpointing areas that can be optimized. About Alation Alation is a leading enterprise data intelligence solutions provider, offering capabilities that empower self-service analytics, drive cloud transformation, and enhance data governance. Over 500 leading enterprises, including prominent names like Cisco, Nasdaq, Pfizer, Salesforce, and Virgin Australia, rely on Alation to cultivate a data culture and bolster data-driven decision-making. The company's commitment to excellence is evidenced by its recognition on Inc. Magazine's Best Workplaces list four times, its status as a UK's Best Workplaces in tech and Best Workplaces for Women in 2022, and its continued accolades as a UK's Best Workplaces in 2022 and 2023.

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Business Intelligence

Dremio Launches Next-gen Reflections Redefining SQL Query Acceleration

Dremio | September 15, 2023

Dremio, a renowned easy and open data lakehouse solution provider, has recently introduced its next-gen Reflections technology, marking a transformative milestone in SQL query acceleration. Dremio Reflections facilitate sub-second analytics performance across an organization's entire data ecosystem, irrespective of data location. This groundbreaking technology is redefining data access and analysis, ensuring that valuable insights are derived efficiently and swiftly, all while reducing costs to merely one-third of a typical cloud data warehouse. Reflections represent Dremio's innovative SQL query acceleration technology. Queries that leverage Reflections exhibit performance gains ranging from 10 to 100 times faster than their non-accelerated counterparts. This latest release introduces the Dremio Reflection Recommender, a pioneering feature that empowers users to accelerate Business Intelligence workloads in a matter of seconds. The Reflection Recommender automatically evaluates an organization's SQL queries and generates recommended Reflections to accelerate them. Tomer Shiran, founder of Dremio, commented, Dremio Reflections accelerate SQL queries by orders of magnitude, eliminating the need for BI extracts/imports and enabling companies to run their most mission-critical BI workloads directly on a lakehouse. With automatic recommendations and next-generation incremental updates, we've made it even easier for organizations to take advantage of this innovative technology. [Source: Business Wire] Reflection Recommender eliminates the need for labor-intensive manual data and workload analysis, making the process of obtaining the fastest and most intelligent query results effortless, requiring only a few simple actions. The user-friendly nature of the Reflection Recommender puts advanced query acceleration capabilities within the reach of all users, significantly saving both time and expenses. Dremio has also refined the process of refreshing Reflections to further bolster query performance and drive cost efficiencies. It now intelligently refreshes Reflections on Apache Iceberg tables, promptly capturing incremental data changes. This innovative approach obviates the requirement for complete data refreshes, resulting in speedier updates and reduced compute expenses. Dremio Reflections eliminates the need for data teams to export data from the data lakehouse into BI extracts or imports for analytical reasons and overcomes performance bottlenecks for BI dashboards and reports. In addition, Reflections negate the necessity of creating precomputed tables within the data lake or data warehouse to achieve sub-second performance for BI workloads, reducing the workload and complexity for data teams. About Dremio Dremio is a leading, easy and open data lakehouse solution provider, offering organizations the versatility of self-service analytics coupled with the functionality of a data warehouse and the flexibility of a data lake. Dremio's platform empowers users to harness the lightning-fast SQL query service alongside various processing engines, all on the same dataset. The company distinguishes itself through a pioneering data-as-code methodology akin to Git, which facilitates data experimentation, version control, and governance. This innovative approach enhances agility and empowers organizations to explore and manage their data resources with unprecedented efficiency. Furthermore, Dremio offers a fully managed service that expedites organizations' entry into analytics, allowing them to commence their data-driven journey within minutes.

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