Home > News > Trending news > Cazena Announces the Launch of Instant AWS Data Lake to Accelerate Analytics Migration to AWS

Data Science

Cazena Announces the Launch of Instant AWS Data Lake to Accelerate Analytics Migration to AWS

Cazena | November 02, 2020

Cazena today declared the dispatch of the Instant AWS Data Lake. Creation prepared in only minutes, the Instant AWS Data Lake is the quickest and most cost-proficient answer for undertakings new to AWS or battling through months-long DIY information lake ventures. The Instant AWS Data Lake has been created in partnership with AWS; Cazena is an AWS Partner Network (APN) Advanced Technology Partner.

With the Instant AWS Data Lake, Cazena currently gives a first-in-industry "simple catch" for AWS examination and moving undertakings' AI/ML activities forward. The Instant AWS Data Lake is prepared for examination in minutes, without requiring operational aptitudes or assets. All endeavors looking to modernize around cloud information lakes can now safely and quickly relocate to AWS, and advantage from the rich and consistently developing investigation stack that AWS offers. Cazena's Instant AWS Data Lake organizes and incorporates bunch AWS investigation administrations – from ingestion to examination – into a bound together, simple to-work, and creation prepared SaaS experience. This experience incorporates consistent associations with AWS solutions including EMR, Athena, Glue, MSK, S3, SageMaker, and more.

“Getting cloud data lakes off the ground continues to be a major source of frustration for enterprises,” said Prat Moghe, CEO, Cazena. “Production deployments often require a minimum of six months to get off the ground, and millions of dollars are spent annually on operations teams to build and manage them – if a business can recruit, hire, and retain this particularly scarce talent. Cazena’s Instant Cloud Data Lakes deliver a secure, hybrid, production-ready experience – with instant time-to-analytics – without requiring additional skills or resources. And we are delivering this SaaS solution at half the cost of DIY data lakes.”

“Cloud data lakes are increasingly the focus for teams building data engineering and data science. Modern cloud data lakes go far beyond storage and need to deliver capabilities for data ingestion, analytics, and AI/ML,” said Daniel Parton, Lead Data Scientist at Bardess, a business analytics and data strategy company using Cazena for cloud data lakes. “Cazena’s turnkey cloud data lake solution significantly reduces the time it takes to stand up a production data lake while addressing the complexity of managing the environment. Cazena’s ability to provide the Instant AWS Data Lake as a SaaS experience is particularly noteworthy for any enterprise embracing data science, machine learning and digital transformation.”

What is a cloud data lake?

Modern cloud data lakes are more than storage or cataloging – they represent the complete production analytical environment, from ingestion to storage to processing and tools. Cloud data lakes provide a flexible and unified analytical platform for enterprises that need to modernize their data environments and migrate analytical workloads to the cloud. Cloud data lakes are ideal environments for AI/ML, data engineering and other analytics since they support “beyond SQL” processing with multiple databases like SQL, Spark, Search, etc. Cloud data lakes complement cloud data warehouses which support SQL-only processing for BI.

The challenges of cloud data lakes

Enterprises continue to face several significant obstacles when deploying and managing cloud data lakes. A lack of skills remains among the biggest hurdles, and this often translates to months-long efforts to deploy production data lakes. Most of this effort is spent in bespoke DevOps around orchestration, identity management, security, compliance, and ongoing monitoring and operations of the end-to-end data lake environment.

Key benefits and capabilities of Cazena’s Instant AWS Data Lake:

Analytics that are ready in minutes. The Instant AWS Data Lake is an automated turnkey analytical environment, from ingestion to tools. The SaaS solution includes connectivity to on-premises data sources and users, security controls, and other mission-critical cloud resources. All AWS analytics services including EMR, Athena, SageMaker, MSK, Glue, and others are orchestrated, provisioned, and configured with unified identity management so that enterprise users can on-board immediately. The cloud data lake can be deployed either as a standalone account or attach to an enterprises’ existing AWS account.

Continuous ops that optimize costs and SLAs. The Instant AWS Data Lake is continuously monitored and optimized for workload performance, cost, and availability. Existing data teams can now use an AWS data lake without requiring dedicated DevOps or CloudOps resources. Cazena’s Instant AWS Data Lake solution is less than half the cost of typical do-it-yourself AWS data lakes – and without the headaches.

Built-in security and compliance as a private SaaS on AWS. Enterprises get their own Instant AWS Data Lake delivered as a private, fully secured cloud service that is encrypted and continuously monitored for security and compliance. Built-in controls are default for SOC-2, GDPR, HIPAA, CCPA, and other industry regulations.

Self-service analytics with one-click access to all tools: The Instant AWS Data Lake offers a comprehensive console for AWS analytical tools like SageMaker, QuickSight, and other third-party tools. BI analysts, data engineers, data scientists, and analytics-dependent users get secure one-click access to a complete cloud data lake with their favorite tools, whether in the cloud or from their on-premises environment.

About Cazena

Cazena makes cloud data lakes easy for all enterprises. Cazena’s Instant Cloud Data Lake accelerates time-to-analytics and AI/ML from months to minutes. Powered by its patented and fully-automated Open SaaS Data platform, Cazena delivers the first SaaS experience for data lakes – zero operations required. Founded by Netezza leaders, Cazena is revolutionizing cloud data lakes.

Spotlight

Understanding User Entity and Behavior Analytics (UEBA)

User Entity and Behavior Analytics (UEBA) is a cybersecurity technology and approach that focuses on analyzing the behavior of users and entities (such as devices, applications, and systems) within an organization's IT environment. By using advanced data analytics, machine learning algorithms, and artificial intelligence, UEBA aims to detect and prevent cyber threats by identifying anomalies, deviations, or patterns in user and entity activities that might indicate potential security risks.


Other News
Data Science

J.D. Power Acquires Autovista Group to Expand Automotive Data Portfolio

J.D. Power | September 18, 2023

J.D. Power, a prominent global leader in data analytics, has recently announced a definitive agreement to acquire Autovista Group, a renowned pan-European and Australian automotive data, analytics, and industry insights provider. This strategic acquisition complements J.D. Power's existing strengths in vehicle valuation and intricate vehicle specification data and analytics while significantly expanding its presence within the European and Australian automotive markets. This acquisition represents a crucial moment, as it delivers substantial value to the customers of both companies. It brings together Autovista Group's extensive European and Australian market intelligence with J.D. Power's market-leading predictive analytics, valuation data, and customer experience datasets. These complementary offerings will empower original equipment manufacturers (OEMs), insurers, dealers, and financing companies with a truly global perspective on critical industry trends. They will also provide the tools to accurately predict risk, capitalize on emerging trends, and align sales strategies with real-time market dynamics. Pete Cimmet, Chief Strategy Officer at J.D. Power, stated: The addition of Autovista Group broadens our global presence allowing us to serve our customers across key global markets including North America, Europe and Asia/Australia. We look forward to partnering with the Autovista team to launch innovative new products and pursue strategic add-on acquisitions in Europe and Australia. [Source: Business Wire] Autovista Group, through its five prominent brands—Autovista, Glass's, Eurotax, Schwacke, and Rødboka—standardizes and categorizes a multitude of technical attributes for nearly every vehicle manufactured in European and Australian markets. This comprehensive approach offers clients a 360-degree view of detailed vehicle data, which is invaluable for valuations, forecasts, and repair estimates. Furthermore, Autovista Group's robust analytical solutions and its team of seasoned experts are trusted by stakeholders across the automobile industry for their in-depth insights and benchmarks related to vehicle values, ownership, replacements, and repair costs. Under this agreement, Autovista Group's senior leadership, along with its 700 employees, will remain part of the organization, serving as J.D. Power's automotive data and analytics platform for Australia and Europe. Lindsey Roberts will continue to lead the team in her role as President of J.D. Power Europe, reporting to CEO Dave Habiger. Currently, Autovista Group is owned by Hayfin Capital Management, a prominent European alternative asset management firm. The anticipated closure of the Autovista Group acquisition is set for conclusion by the end of 2023, pending customary closing conditions and regulatory review and approval. For this transaction, RBC Capital Markets acted as the exclusive financial advisor, and Kirkland & Ellis provided legal counsel to J.D. Power. TD Cowen served as the exclusive financial advisor, with Macfarlanes, Cravath, Swaine & Moore, and Mishcon de Reya acting as legal advisors to Autovista Group and Hayfin. About J.D. Power J.D. Power, a renowned consumer insights, advisory services, and data and analytics firm, has consistently spearheaded the use of big data, artificial intelligence (AI), and algorithmic modeling to illuminate the intricacies of consumer behavior for more than half a century. With a storied legacy of providing in-depth industry intelligence on customer interactions with brands and products, J.D. Power serves as the trusted leader for the world's preeminent enterprises, spanning diverse major sectors, profoundly influencing and refining their customer-centric strategies.

Read More

Data Visualization

Airbyte Integrates with Datadog for Superior Data Pipeline Management

Airbyte | September 11, 2023

Airbyte, the leading open-source data movement platform, has announced a strategic integration with Datadog, Inc., a prominent cloud application monitoring and security platform. This integration offers customers a comprehensive solution to monitor and analyze data pipelines with access to nearly 50 metrics, all at no additional cost. The integration between Airbyte Self-Managed and Datadog's data observability and security monitoring capabilities allows organizations to maintain a close watch on the health of their critical data pipelines. Key features of this integration include: A centralized overview of Airbyte data pipeline performance Real-time detection and immediate alerts for failing syncs or connections Notifications regarding long-running jobs, which could indicate potential latency issues Michel Tricot, CEO of Airbyte, emphasized the significance of this integration, stating, The new Datadog integration provides transparency and actionable insights, empowering users to optimize performance and ensure reliable data pipelines by proactively addressing potential data issues. [Source: Business Wire] Yrieix Garnier, Vice President of Product at Datadog, further elaborated on the benefits, explaining, Airbyte's data extraction and loading process involves numerous complex components. The integration with Datadog offers users peace of mind, enabling them to monitor data pipelines across their organization and troubleshoot any potential data integration workflow issues, ultimately ensuring data quality. [Source: Business Wire] This integration will be immediately available to users. Existing Datadog customers can configure their Airbyte deployments to send metrics to Datadog. For those not already using Datadog, a free trial is available. Similarly, users new to Airbyte can sign up for free. Airbyte continues its commitment to delivering robust data integration and analysis solutions to organizations. The Datadog integration represents a significant milestone in Airbyte's mission to empower businesses with efficient data integration capabilities. Airbyte simplifies data movement across various sources and destinations, making it accessible and cost-effective for enterprises. With the largest data engineering contributor community, boasting over 800 contributors as well as top-tier tools for connector development and maintenance, Airbyte remains at the forefront of the data integration landscape. About Airbyte Founded in 2020, Airbyte is an open-source platform for EL (T) that enables data teams to replicate data from various sources to different destinations. The company, which has raised $181 million in funding, believes in the power of open source to address data integration challenges and offers over 200 connectors for data syncing. Currently, it serves over 25,000 companies.

Read More

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.

Read More

Big Data Management

iMerit Unveils Innovative Solution for Radiology AI Data Challenges

iMerit | September 07, 2023

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.

Read More

Data Science

J.D. Power Acquires Autovista Group to Expand Automotive Data Portfolio

J.D. Power | September 18, 2023

J.D. Power, a prominent global leader in data analytics, has recently announced a definitive agreement to acquire Autovista Group, a renowned pan-European and Australian automotive data, analytics, and industry insights provider. This strategic acquisition complements J.D. Power's existing strengths in vehicle valuation and intricate vehicle specification data and analytics while significantly expanding its presence within the European and Australian automotive markets. This acquisition represents a crucial moment, as it delivers substantial value to the customers of both companies. It brings together Autovista Group's extensive European and Australian market intelligence with J.D. Power's market-leading predictive analytics, valuation data, and customer experience datasets. These complementary offerings will empower original equipment manufacturers (OEMs), insurers, dealers, and financing companies with a truly global perspective on critical industry trends. They will also provide the tools to accurately predict risk, capitalize on emerging trends, and align sales strategies with real-time market dynamics. Pete Cimmet, Chief Strategy Officer at J.D. Power, stated: The addition of Autovista Group broadens our global presence allowing us to serve our customers across key global markets including North America, Europe and Asia/Australia. We look forward to partnering with the Autovista team to launch innovative new products and pursue strategic add-on acquisitions in Europe and Australia. [Source: Business Wire] Autovista Group, through its five prominent brands—Autovista, Glass's, Eurotax, Schwacke, and Rødboka—standardizes and categorizes a multitude of technical attributes for nearly every vehicle manufactured in European and Australian markets. This comprehensive approach offers clients a 360-degree view of detailed vehicle data, which is invaluable for valuations, forecasts, and repair estimates. Furthermore, Autovista Group's robust analytical solutions and its team of seasoned experts are trusted by stakeholders across the automobile industry for their in-depth insights and benchmarks related to vehicle values, ownership, replacements, and repair costs. Under this agreement, Autovista Group's senior leadership, along with its 700 employees, will remain part of the organization, serving as J.D. Power's automotive data and analytics platform for Australia and Europe. Lindsey Roberts will continue to lead the team in her role as President of J.D. Power Europe, reporting to CEO Dave Habiger. Currently, Autovista Group is owned by Hayfin Capital Management, a prominent European alternative asset management firm. The anticipated closure of the Autovista Group acquisition is set for conclusion by the end of 2023, pending customary closing conditions and regulatory review and approval. For this transaction, RBC Capital Markets acted as the exclusive financial advisor, and Kirkland & Ellis provided legal counsel to J.D. Power. TD Cowen served as the exclusive financial advisor, with Macfarlanes, Cravath, Swaine & Moore, and Mishcon de Reya acting as legal advisors to Autovista Group and Hayfin. About J.D. Power J.D. Power, a renowned consumer insights, advisory services, and data and analytics firm, has consistently spearheaded the use of big data, artificial intelligence (AI), and algorithmic modeling to illuminate the intricacies of consumer behavior for more than half a century. With a storied legacy of providing in-depth industry intelligence on customer interactions with brands and products, J.D. Power serves as the trusted leader for the world's preeminent enterprises, spanning diverse major sectors, profoundly influencing and refining their customer-centric strategies.

Read More

Data Visualization

Airbyte Integrates with Datadog for Superior Data Pipeline Management

Airbyte | September 11, 2023

Airbyte, the leading open-source data movement platform, has announced a strategic integration with Datadog, Inc., a prominent cloud application monitoring and security platform. This integration offers customers a comprehensive solution to monitor and analyze data pipelines with access to nearly 50 metrics, all at no additional cost. The integration between Airbyte Self-Managed and Datadog's data observability and security monitoring capabilities allows organizations to maintain a close watch on the health of their critical data pipelines. Key features of this integration include: A centralized overview of Airbyte data pipeline performance Real-time detection and immediate alerts for failing syncs or connections Notifications regarding long-running jobs, which could indicate potential latency issues Michel Tricot, CEO of Airbyte, emphasized the significance of this integration, stating, The new Datadog integration provides transparency and actionable insights, empowering users to optimize performance and ensure reliable data pipelines by proactively addressing potential data issues. [Source: Business Wire] Yrieix Garnier, Vice President of Product at Datadog, further elaborated on the benefits, explaining, Airbyte's data extraction and loading process involves numerous complex components. The integration with Datadog offers users peace of mind, enabling them to monitor data pipelines across their organization and troubleshoot any potential data integration workflow issues, ultimately ensuring data quality. [Source: Business Wire] This integration will be immediately available to users. Existing Datadog customers can configure their Airbyte deployments to send metrics to Datadog. For those not already using Datadog, a free trial is available. Similarly, users new to Airbyte can sign up for free. Airbyte continues its commitment to delivering robust data integration and analysis solutions to organizations. The Datadog integration represents a significant milestone in Airbyte's mission to empower businesses with efficient data integration capabilities. Airbyte simplifies data movement across various sources and destinations, making it accessible and cost-effective for enterprises. With the largest data engineering contributor community, boasting over 800 contributors as well as top-tier tools for connector development and maintenance, Airbyte remains at the forefront of the data integration landscape. About Airbyte Founded in 2020, Airbyte is an open-source platform for EL (T) that enables data teams to replicate data from various sources to different destinations. The company, which has raised $181 million in funding, believes in the power of open source to address data integration challenges and offers over 200 connectors for data syncing. Currently, it serves over 25,000 companies.

Read More

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.

Read More

Big Data Management

iMerit Unveils Innovative Solution for Radiology AI Data Challenges

iMerit | September 07, 2023

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.

Read More

More Trending news

Spotlight

Understanding User Entity and Behavior Analytics (UEBA)

User Entity and Behavior Analytics (UEBA) is a cybersecurity technology and approach that focuses on analyzing the behavior of users and entities (such as devices, applications, and systems) within an organization's IT environment. By using advanced data analytics, machine learning algorithms, and artificial intelligence, UEBA aims to detect and prevent cyber threats by identifying anomalies, deviations, or patterns in user and entity activities that might indicate potential security risks.

Resources

Enhancing data mesh: How distributed ledger solutions empower decentralized governance

Whitepaper

Data Beyond Borders 3.0

Whitepaper

Understanding User Entity and Behavior Analytics (UEBA)

Video

Enhancing data mesh: How distributed ledger solutions empower decentralized governance

Whitepaper

Data Beyond Borders 3.0

Whitepaper

Understanding User Entity and Behavior Analytics (UEBA)

Video