Big Data Management
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.
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.
Big Data Management
GlobeNewswire | October 25, 2023
EnterpriseDB (“EDB”), the leader in accelerating Postgres in the enterprise, today announced its acquisition of Splitgraph, an early-stage disruptor that provides a Postgres compatible serverless SQL API for building data driven applications from hundreds of datasources. This move is seen as a meaningful step in EDB's evolution, underscoring its commitment to delivering Postgres solutions to the ever evolving challenges customers face across a diverse data landscape.
Acquiring Splitgraph advances our capabilities within the realm of analytics and AI, said Kevin Dallas, CEO, EDB. With Splitgraph's technology and deep expertise, we're taking a leap in making data lake and data warehousing operations more efficient, streamlined, and collaborative. Unifying our shared commitment to customer-driven product development, we can accelerate our progress and better address the intricate data challenges that our customers encounter.
Miles Richardson, Co-Founder of Splitgraph, echoed Dallas’s sentiments, "We are pleased to share EDB’s vision to transform the way organizations engage with data using Postgres, especially for analytics workloads and AI-driven use cases. Becoming a part of EDB unlocks exciting new possibilities for our technology, further advancing the ways in which companies look to Postgres to solve their data ecosystem challenges.”
With the acquisition of Splitgraph, EDB underscores its dedication to innovating within the Postgres ecosystem, directly addressing the needs of users who want to seamlessly run analytical queries across diverse data sets. Splitgraph enhances this core capability by enriching data integration, cataloging, and governance, streamlining the management of both in-house data and information sourced from open publishers through a single Postgres interface. This strategic move firmly establishes EDB's commitment to continually elevate the value it delivers to its customers throughout the data landscape.
EDB provides enterprise-grade software and services that enable organizations to harness the full power of Postgres, the world’s leading open source database. EDB provides unmatched Postgres database expertise, and enables the same Postgres everywhere, including solutions for hybrid, self-managed private clouds, and EDB BigAnimal, a fully managed cloud database-as-a-service. EDB serves more than 1,500 customers globally, including leading government agencies, financial services, media and information technology companies. As the leading contributor to the vibrant and fast-growing Postgres community, EDB is committed to driving technology innovation. Through its solutions for high availability, reliability, security, 24x7 global support and advanced professional services, EDB empowers enterprises to control risk, manage costs and scale efficiently. For more information, visit www.enterprisedb.com.
EnterpriseDB and EDB are registered trademarks and BigAnimal is a trademark of EnterpriseDB Corporation; Oracle is a registered trademark of Oracle Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners.
Splitgraph is a serverless data platform where you can query, upload, connect and share tables of data. It's built on Postgres and optimized for analytical queries over versioned snapshots and external data tables. Splitgraph develops Seafowl, an open source serverless OLAP database optimized for building data-driven Web apps, and also recently released a ChatGPT plugin for querying its catalog of open data with natural language.
ChaosSearch | October 13, 2023
ChaosSearch, a prominent data analytics firm, has unveiled the release of LakeDB. This offering is the world's inaugural data lake database designed to empower live Search, SQL, and Generative Artificial Intelligence (GenAI) analytics. ChaosSearch ingeniously converts cloud object storage into a live Search+SQL+GenAI analytics database with limitless hot data retention. The outcome is a unified data lake that accommodates both operational and business requirements, presenting the potential to achieve substantial cost savings of 50-80%, streamline technical resources, and simplify architectural complexities.
Chaos LakeDB steps forward as the solution of choice to consolidate and process multifarious data streams and formats. It’s advanced Search + SQL and GenAI analytics satisfy a broad spectrum of operational and business demands, delivering a comprehensive platform for gleaning insights from data.
Chaos LakeDB redefines data management by introducing intuitive automation into the data pipeline, schema management, and workload orchestration across a data lake backbone. Its adaptive capabilities can identify and scale stream types and schemas, ensuring data stays current and pertinent, thereby eliminating the need for continuous manual intervention.
With Chaos LakeDB, users gain access to both real-time and historical insights at scale, unifying Search+SQL and GenAI across all functionalities. This ensures that every interaction with data becomes a source of actionable intelligence.
By integrating seamlessly with Amazon Web Services (AWS) Amazon Simple Storage Service (Amazon S3), which is the preferred object store for millions of AWS customers, Chaos LakeDB effectively merges the extensive storage capacities of data lakes with the accessibility of cloud databases. This fusion of lake and database capabilities eradicates the need for complex extract, transform, load (ETL) and extract, load, transform (ELT) processes, delivering live analytics with enhanced cost efficiency and scalability - a vital aspect in today's data-intensive analytics and AI landscape.
Chaos LakeDB is available both as a Software as a Service (SaaS) data platform for enterprises and as an embedded database for cloud platform providers. Notable industry leaders such as Cisco and Equifax have already embraced Chaos LakeDB.
ChaosSearch is a prominent data analytics firm. It is at the forefront of reshaping the landscape of data analytics by providing transformative solutions that empower businesses to make data-driven decisions with unmatched efficiency. The company's LakeDB solution stands as a pioneering solution revolutionizing data lake architectures in the AI-driven era. By seamlessly converting cloud storage into a dynamic analytical database, it amalgamates diverse data streams, simplifies intricate pipelines, and delivers actionable insights at scale through Search+SQL+GenAI analytics. ChaosSearch is committed to providing tools that not only address but also anticipate the evolving needs of modern businesses.
Big Data Management
Ocient | September 25, 2023
Ocient, a renowned hyperscale data analytics platform, has recently announced the release of its second annual industry report, titled "Beyond Big Data: Hyperscale Takes Flight." The 2023 report, which is the result of a survey conducted among 500 data and IT leaders responsible for managing data workloads exceeding 150 terabytes, sheds light on the escalating significance of hyperscale data management within enterprises. It also underscores the critical requisites of time, talent, and cutting-edge technology necessary for the effective harnessing of data at scale.
Building on the foundation of Ocient's inaugural Beyond Big Data survey, the 2023 report delves into the minds of IT decision-makers, seeking to unravel the challenges, investment priorities, and future prospects occupying the forefront of their agendas for 2023 and beyond. The report offers valuable year-over-year comparisons, drawing on trends identified in 2022 while also presenting fresh, timely insights that mirror the immediate concerns of enterprise leaders in the United States.
Among the pivotal insights featured in this year's report are the following:
Immediate Emphasis on Data Quality: Organizations committed to leveraging their hyperscale data for critical business decisions are placing paramount importance on ensuring the highest data quality standards.
Data Workload Growth as a Driving Force: Data and IT leaders are increasingly recognizing data warehousing and analytics as pivotal elements of their IT strategies, a sentiment vividly reflected in their budget allocations.
AI Readiness at the Forefront: Leaders are eager participants in the AI revolution, yet they grapple with concerns surrounding security, accuracy, and trust.
Innovation Hindered by Talent and Technology Gaps: Many leaders continue to struggle with the challenges of optimizing their toolsets and scaling their teams swiftly enough to meet the demands posed by hyperscale data volumes.
Stephen Catanzano, Senior Analyst, Enterprise Strategy Group, commented:
It's clear enterprises are investing in data analytics and warehousing, especially given their costs are being driven up so high with older systems that can't handle the data that's being pushed to them.
[Source – Business Wire]
Chris Gladwin, Co-Founder and CEO of Ocient, stated that data was not slowing down, and he emphasized that the results of the 2023 Beyond Big Data report confirmed the significance of hyperscale data workloads for enterprises across various industries. He also noted that data volumes were on the rise, as was the importance of comprehending one's data. Nevertheless, the challenges related to data quality, the proliferation of tools, and staffing constraints persisted and were impeding progress in the industry.
Furthermore, Gladwin mentioned that the frontier beyond big data had arrived and that Ocient's annual report illustrated the challenges and opportunities that were shaping the enterprise data strategies of the future.
Ocient is a pioneering hyperscale data analytics solutions company dedicated to empowering organizations to unlock substantial value through the analysis of trillions of data records, achieving performance levels and cost efficiencies previously deemed unattainable. The company is entrusted by leading organizations around the globe to leverage the expertise of its industry professionals in crafting and implementing sophisticated solutions. These solutions not only enable the rapid exploration of new revenue avenues but also streamline operational processes and enhance security measures, all while managing five to 10 times more data and significantly reducing storage requirements by up to 80%.