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USPTO Issues MIT Patent for Composable Analytics

Patent secures exclusivity for comprehensive composable analytics and end-to-end data operations

The United States Patent and Trademark Office (USPTO) granted Patent No. 11,023,105 for a comprehensive composable analytics environment. The patent, entitled “Systems and Methods for Composable Analytics”, was issued to inventors Lars Fiedler et. al. on June 1, 2021. Together with the recent grant of Composable Analytics, Inc.’s US patent No. 10,466,978 for claims intelligent composable analytical flows, Composable Analytics, Inc. is able to deliver the industry leading Intelligent DataOps platform.

Gartner selects Composable as DataOps Cool Vendor

DataOps, a collaborative data management practice that allows organizations to truly operationalize their data assets, requires a broad set of tools and technologies to achieve data management mastery. Composable, the industry leading Intelligent DataOps platform, provides a comprehensive solution for data operations that enables organizations to rapidly build robust data-intensive applications.

Gartner selected Composable as a Cool Vendor in DataOps in their October 2020 report. The report explains that:

DataOps has emerged as a concept to deliver data to consumers faster, with more resiliency and predictability. Data and analytics leaders implementing DataOps may need to embrace new data management solutions to drive collaboration, knowledge sharing and data availability.

The report was authored by Gartner Analysts Nick Heudecker, Ankush Jain, Saul Judah, Austin Kronz, Robert Thanaraj, and Divya Radhakrishnan.

In the report, Composable was cited for serving as a “cohesive framework for DataOps and as a middleware for data operations or business operations.” Key features listed included “automatic detection of live schema changes” and “embedding ML or analytics on the fly to build data intensive applications.”

You can read the full Gartner Cool Vendors in DataOps report here.

CheckAlt and Composable Analytics Launch Scrypt, AI Data Capture for Document Processing and Payments

CheckAlt partners with MIT big data company to strategically deliver cognitive automation solutions, including machine-learning document processing and payments.

LOS ANGELES (PRWEB) AUGUST 10, 2020

Recognizing the broad impact of artificial intelligence and machine learning in document processing, CheckAlt has launched Scrypt in partnership with Composable Analytics, Inc., introducing cognitive automation to CheckAlt’s industry-leading payment processing solutions.

“Many organizations still struggle with manual business processes, multiple systems, and repetitive, recurring tasks,” said CheckAlt’s Co-Chairman and CEO Shai Stern. “Through our alliance with Composable, our Scrypt platform will further strengthen CheckAlt’s solutions in the payment data capture and integration space. Scrypt technology will be battle-tested and scaled for the benefit of all our clients.”

Composable, a machine-learning and analytics company affiliated with MIT’s Computer Science and Artificial Intelligence Laboratory, CSAIL, will work closely with CheckAlt’s Product and IT teams to facilitate Scrypt’s cognitive automation and deliver intelligent processing solutions for a variety of industry sectors, including property management, healthcare, utilities, municipalities, non-profit, higher education, and small business.

“We’re using advanced analytics techniques including data mining, text analytics, natural language processing and computer vision, to digitally sort, process and code documents,” said Andy Vidan, Ph.D., CEO of Composable Analytics, Inc. “We’re truly excited to partner with CheckAlt to deliver an end-to-end, intelligent, high-volume processing system through Scrypt.”

Companies can no longer grow simply by increasing their workforce; they must leverage technology that can position them to scale. “Process-driven ‘bots’ can replicate specific human actions, efficiently interacting between different systems and applications,” said Lars Fiedler, CTO of Composable Analytics, Inc. “We take this one step further, moving from process-driven to data-driven systems that gain knowledge over time and apply what is learned.”

CheckAlt’s Chief Product and Innovation Officer Bobby Rahmanian said, “At CheckAlt, we are always looking to stay at the forefront of technology when fulfilling our ongoing client commitment to break new ground together. Big data, artificial intelligence, and data-driven decision-making is the future and we are thrilled to partner with Composable on Scrypt to continue to bring innovative solutions to market.”

To learn more about Scrypt, visit https://www.checkalt.com/products/invoice-coding.

About CheckAlt
In the past 10 years, CheckAlt has become the universal payment processing hub for hundreds of financial institutions across the country. As both bank agnostic and demographic agnostic, CheckAlt is uniquely positioned for payments convergence. It has been our focus to process check payments while also eliminating paper from the system with robust electronic payment APIs. CheckAlt’s solutions include lockbox processing across a nationwide hub-and-spoke network of processing sites, consolidated item processing, integrated treasury solutions, and mobile capture services. CheckAlt is headquartered in Los Angeles, Calif. For more information, visit https://www.CheckAlt.com.

About Composable Analytics, Inc.
Composable Analytics, Inc. builds software that enables enterprises to rapidly adopt a modern data strategy and robustly manage unlimited amounts of data. The Composable DataOps Platform, with core technology developed at MIT and the U.S. Department of Defense, accelerates the development of data-driven applications and serves as a coherent data operations framework for data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the amount, format or structure of the data. For more information, visit https://composable.ai.

Accelerating Data-Driven Innovation with DataOps

Database Trends and Applications is a magazine covering data and information management, big data, and data science.  Their most recent report covers DataOps:

“Today, data is being created at unprecedented speed. But organizations don’t want to simply capture and store all this data. They want to draw insights from these vast data stores to improve their decision making and rapidly execute changes in order to gain competitive business advantage.”

Read the full report here.

Composable was featured in the issue – the full article can be viewed here.

Composable Granted US Patent: Cements position as the leading Intelligent DataOps Platform

The Industry’s Leading Intelligent DataOps Platform that Radically Transforms Enterprise Data Management


CAMBRIDGE, Mass., November 5, 2019 — Composable Analytics, Inc., a global technology company that builds innovative DataOps products and solutions, was granted a United States Patent #10,466,978 for “Intelligent assistant for automating recommendations for analytics programs.” The patent covers a technology area known as “intelligent augmentation,” where the platform augments the human user to intelligently and efficiently develop business and analytical workflows.

“We continue to push on our mission to give enterprises the power to intelligently consume, manage, explore and harness massive amounts of data,” said Andy Vidan, CEO of Composable Analytics, Inc. “Enterprises are embracing intelligent systems at a record paceWith Composable DataOps Platform, enterprises can now augment their analysts with intelligent recommendations to improve efficiencies and empower all their technical and non-technical users.”

“With our unqiue approach, Composable continuously learns and intelligently recommends steps in the process of developing DataFlow Applications” said Lars Fiedler, CTO of Composable Analytics, Inc. “The platform is using machine learning to help users build machine learning pipelines!”

About Composable Analytics
Composable Analytics, Inc. builds software that enables enterprises to rapidly adopt a modern data strategy and robustly manage unlimited amounts of data. Composable DataOps Platform, a full-stack analytics platform with built-in services for data orchestration, automation and analytics, accelerates data engineering, preparation and analysis. Built with a composable architecture that enables abstraction and integration of any software or analytical approach, Composable DataOps Platform serves as a coherent analytics ecosystem for business users that want to architect data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the amount, format or structure of the data. Composable Analytics, Inc. is a rapidly growing data intelligence start-up founded by a team of MIT technologists and entrepreneurs.

Quantum Discoveries and Composable Analytics

Quantum Discoveries and Composable Analytics

Businesses that harvest Big Data to solve previously impossible challenges have emerged as leaders in a highly competitive and evolving global economy. Over the past few years, the amount of data generated by consumers and sensors has exploded. Harnessing the right insights from this data generates enormous competitive advantage. Most data-driven analysis to date has capitalized on the sheer volume of data, the opportunity today is in joining disparate data sets from a variety of sources, to generate actionable insights and additional value. Analytics on truly Big Data, data sets that are great in volume and great variety and generated at high velocity, is challenging, as the data environment is extremely chaotic. There’s no “one size fits all” concept in Big Data, as data is stored in a variety of formats, with different underlying data store, analysis and visualization technologies. When needs arise for cross-cutting analysis or for analytical methods not supplied by any one individual system, the overall analytical process is severely limited. Organizations that successfully overcome this “variety challenge,” are positioned to be game-changers. Much like the blending of data sources to generate new value, the blending of expertise through partnerships and collaborations to execute on new use cases, appears to be the most effective approach.

One such collaboration taking shape is between an early-stage advanced data science startup out of MIT with a new mineral discovery company, Quantum Discoveries (formerly QPX). The goal is extremely ambitious: discover world class mineral deposits by fusing domain experts (e.g., geoscientists) with machines (e.g., Artificial Intelligence) through a disciplined, data-driven, decision making platform to significantly improve the rate of success to find large mineral deposits.

General Availability of Composable Enterprise 2.0

The Industry’s Leading Intelligent DataOps Platform that Radically Transforms Enterprise Data Management


Composable Analytics, Inc., a global technology company that builds innovative DataOps products and solutions, today announced general availability of Composable Enterprise 2.0, the next generation system known for enterprise-level digital transformation. Now available as an on-premises solution, and available in 11 AWS Regions worldwide (including North & South America, Europe and Asia Pacific) as well as 38 Microsoft Azure regions, Composable Enterprise helps companies radically transform their data management strategy.

“Our mission from day one has been to give enterprises the power to intelligently consume, manage, explore and harness massive amounts of data,” said Andy Vidan, CEO of Composable Analytics, Inc. “Enterprises can now use a transformational tool for end-to-end DataOps and quickly become digital masters, efficiently connecting the dots between their data sets to rapidly generate new business insights. Composable Enterprise 2.0 will allow these enterprises to gain data efficiencies and agility.”

Composable Enterprise has gained adoption and traction across a number of sectors, including financial services, insurance, oil & gas, telecommunications and public sector.

“Composable Enterprise 2.0 represents a powerful platform for big data orchestration, automation and analytics,” said Lars Fiedler, CTO of Composable Analytics, Inc. “We are excited to release a technology platform that enables a sophisticated data strategy for any application in any business while satisfying a continuously-evolving, complex collection of data sources, services and applications.”

About Composable Analytics

Composable Analytics, Inc. builds software that enables enterprises to rapidly adopt a modern data strategy and robustly manage unlimited amounts of data. Composable DataOps Platform, a full-stack analytics platform with built-in services for data orchestration, automation and analytics, accelerates data engineering, preparation and analysis. Built with a composable architecture that enables abstraction and integration of any software or analytical approach, Composable DataOps Platform serves as a coherent analytics ecosystem for business users that want to architect data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the amount, format or structure of the data. Composable Analytics, Inc. is a rapidly growing data intelligence start-up founded by a team of MIT technologists and entrepreneurs.

Gartner Recognizes DataOps in New Innovation Profile, with Composable set to become an Industry Leader in this space

DataOps, a collaborative data management practice that allows organizations to truly operationalize their data assets, has been recognized and included for the first time by Gartner in their annual Hype Cycle for Data Management.

Gartner defines DataOps as:

…a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. The goal of DataOps is to create predictable delivery and change management of data, data models and related artifacts. DataOps uses technology to automate data delivery with the appropriate levels of security, quality and metadata to improve the use and value of data in a dynamic environment.

Gartner Research Vice President Nick Heudecker explained why DataOps was recognized for the first time in post on the Gartner Blog Network. Heudecker explains that you cannot “buy” DataOps, but rather need to work towards an organizational change that adopts DataOps. Heudecker states that “like DevOps, the core of DataOps is a new way of working and collaborating.”

You can read the full Gartner Hype Cycle for Data Management report here.

Composable Analytics got its start based on an understanding of the complexity of creating and maintaining data flow within and across enterprises. Composable Enterprise, an end-to-end DataOps platform, enables enterprises to implement, deploy and scale robust data management and analytics solutions. From our earliest prototypes and implementations, developing operational systems for the DoD, DHS and NATO, to our current at-scale deployments within the private sector (specifically, within the financial, oil & gas, and telecom sectors), we have seen the merits of adopting a disciplined DataOps practice and explained how we are moving forward with DataOps.

Today, we’re seeing DataOps transform the data management practice within companies, in a similar way to how DevOps has transformed their IT teams. We agree that DataOps is not a product that you can buy, it is certainly enabled by technology and tools. The Composable Enterprise platform has quickly become the industry’s first and leading Intelligent DataOps platform, and is set to lead in this space. Our customer case studies testify to the transformational power of adopting DataOps through the Composable Enterprise platform.

Composable CEO Honored with IEEE Technical Field Award

Composable CEO Andy Vidan to receive the 2019 IEEE Technical Field Award


Composable CEO Andy Vidan, along with MIT Lincoln Laboratory colleagues Gregory Hogan and Paul Breimyer, was named the 2019 recipient of the IEEE Technical Field Award (Innovation in Societal Infrastructure). This award recognizes individuals whose work on efficient infrastructure systems demonstrates an innovative application of information technology and has potential to make a substantial impact on society. Dr. Vidan, a recognized leader in distributed systems, was selected for his role as architect of the Next-Generation Incident Command System (NICS), a distributed system that facilitates emergency responses and disaster recovery.

Dr. Vidan has a passion for developing and scaling disruptive technology platforms. “We were fortunate to have the support and resources from across MIT, Lincoln Laboratory, the Departments of Defense and Homeland Security, CAL FIRE, Emergency Management Victoria, and the first responder community to design, prototype, implement, field test, and, most importantly, operationalize an advanced, fault-tolerant, and scalable distributed system for humanitarian assistance and disaster response,” said Dr. Vidan. “We’ve taken the same successful formula of merging technological innovation with operational excellence when building Composable Analytics.”

Today, more than 450 organizations, throughout the United States, Australia and more recently, NATO member countries, are using the Next-Generation Incident Command System to improve their management of all types of emergency responses. MIT Lincoln Laboratory has also earned the FLC Excellence in Technology Transfer Award for successfully developing and transitioning this technology for operational use.

“The development of the Next-Generation Incident Command System is of critical importance for enabling timely sharing of information and effective coordination and command of thousands of responders from hundreds of agencies during rapidly evolving, catastrophic events…. Such R&D efforts will translate effectively to saving lives, reducing loss of resources, and protecting our social, economic, and physical environments. This is exactly the type of innovation and leadership that the IEEE Innovation in Societal Infrastructure award committee is set to recognize and promote,” said Prof. Ling Liu of the Georgia Institute of Technology, chair of the award committee.

IEEE Technical Field Award

Dr. Vidan will be presented the IEEE Technical Field Award at the 2019 IEEE Symposium on Security and Privacy, which will be held on May 20 to 22 in San Francisco, CA.

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About Composable Analytics
Composable Analytics, Inc. builds software that enables enterprises to rapidly adopt a modern data strategy and robustly manage unlimited amounts of data. Composable Enterprise, a full-stack dataops platform with built-in services for data orchestration, automation and analytics, accelerates data engineering, preparation and analysis. Built with a composable architecture that enables abstraction and integration of any software or analytical approach, Composable Enterprise serves as a coherent analytics ecosystem for business users that want to architect data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the amount, format or structure of the data. Composable Analytics, Inc. is a rapidly growing data intelligence start-up founded by a team of MIT technologists and entrepreneurs.

Composable Named in Three Gartner Research Reports, as DataOps Makes Its Mark

Gartner Research included DataOps in three key reports, listing Composable as one of the key vendors that can deliver a truly end-to-end solution.

Hype Cycle for Enterprise Information Management, 2018
Published: 31 July 2018
Analyst(s): Andrew White, Saul Judah
Data and analytics leaders can find it challenging to consistently deliver business value through their data and analytics investments. Enterprise information management can help to align, link and make the most of people, processes, data and technologies.

Hype Cycle for Data Management, 2018
Published: 25 July 2018
Analyst(s): Donald Feinberg, Adam Ronthal
This Hype Cycle helps data and analytics leaders interested in data management strategies to understand the evolutionary pace of maturing and emerging data management technologies. There is a noticeable lack of
new technologies entering the Hype Cycle, while many are approaching the plateau.

Hype Cycle for Data Security, 2018
Published: 24 July 2018
Analyst(s): Brian Lowans
Data is a pervasive asset that crosses traditional boundaries on-premises and into cloud services. Every business needs a data-centric security strategy to prioritize datasets for mitigation of growing business risks caused by data protection and privacy laws, hacking, fraud, and ransomware.