Artificial Intelligence
ModelOp Breaks the Pilot-to-Production Logjam for Enterprise AI with New Release of ModelOp Center
CHICAGO, March 31, 2020 (GLOBE NEWSWIRE) — ModelOp, the pioneer of ModelOps software and services for major enterprises, today announced new capabilities in its ModelOp Center V2. ModelOp Center V2 is the only technology and vendor-agnostic ModelOps software platform designed to deploy, monitor and govern any kind of model. This includes models produced using any analytics or data science tool, in any enterprise infrastructure – on-premises, cloud or hybrid cloud. The expanded platform, with its new Command Center and enhanced user experience, delivers significant, industry-first efficiency gains that enable enterprises to realize the value of their AI investments. A volatile economic and business landscape further underscores the imperative to manage models with agility to respond to rapidly changing circumstances.
The company also announced today a Series A funding round of $6 million, led by Valley Capital Partners with participation from Silicon Valley Data Capital.According to IDC, only 35% of organizations indicate that analytical models are fully deployed in production. With the majority of models never used in business applications, those that do make it into production typically do so only after long delays and are rarely refreshed at the rate needed to maintain accuracy. The accumulated “Model Debt” of undeployed and unrefreshed models leaves millions of dollars on the table, since these models don’t reach their intended purpose and expected value. At the same time, AI is becoming more pervasive with the rise of Augmented Machine Learning (ML) and Citizen Data Scientists. As discrete business units implement these easier-to-use solutions, the lack of enterprise-wide visibility and control can lead to unmanaged “Shadow AI.” These rogue AI implementations increase risk, as models may run in production without accountability to IT or governance organizations.The industry recognizes that ModelOps is the key capability that resolves these challenges for enterprise AI. According to Gartner*, “ModelOps platforms offer the following advantages for AI operations:Accelerated delivery of AI products to business users;Better alignment between business and domain experts, data science and engineering;Constant feedback on modeling outputs by business and/or operational experts; andGovernance and quality assurance of models and modeling outputs in conjunction with business domain experts.”“Recent events and market volatility have challenged many people’s assumptions about how fast the ‘ground truth’ underlying our models can change,” said Joe Squeri, CTO/COO at Exos, former CIO of Barclays and Managing Director, Technology, at Goldman Sachs. “Having the ability to update and refresh our models quickly, without friction, while ensuring compliance was a major reason for our investment in ModelOps capabilities, and in the new world we live in this will only become more important.” The new capabilities in ModelOp Center provide a comprehensive, unifying ModelOps framework that places no restrictions on the tools used by data science teams to develop models or the infrastructure used by operational teams to deploy models in production. ModelOp Center provides full transparency and coordination for all stakeholders, including lines of business, data science, IT operations, and governance organizations. “At the heart of founding ModelOp in 2016, was the conviction that data science and machine learning models require new organizational and technical approaches to realize their value,” said Pete Foley, CEO of ModelOp. “Our customers are at various stages in their AI journey, and our sole mission is to enable them to operationalize AI at scale. The new capabilities to ModelOp Center enable us to continue to deliver on that mission.”ModelOp Center is the industry’s only operations-first command center for ModelOps, and supports any enterprise in any stage of their AI journey to move from the experimental phase to production. Extending this foundation, Version 2 delivers sophisticated deployment and governance capabilities that reduces Model Debt and mitigates Shadow AI through its new model life cycle (MLC) process engine and end-to-end model lineage.At the core of ModelOp Center is its deployment, monitoring, and governance capabilities. Version 2 of the platform:Saves data scientists time with streamlined model registration in a comprehensive model catalogue. Plug-ins to Jupyter and other popular model creation platforms automate the initial and ongoing steps in moving models into production and keeping them refreshed;Provides 24/7 monitoring of critical business, statistical, and technical metrics against SLAs with automated notifications and alerting via the updated Command Center. Dashboards customized for each role (i.e. business manager, data scientist, ITOps, governance) also allow for full transparency and auditability into all models across their entire life cycle, and seamless navigation and troubleshooting as needed; andSupports governance through model metadata capture, enables quality and compliance control, traceability of end-to-end model lineage, and integrated multi-tenancy support.ModelOp Center Version 2 is already in use by customers in the financial services, manufacturing and pharma industries, and is available immediately for existing and new ModelOp customers. For more information about ModelOp’s unique approach and its solutions portfolio, please visit https://www.modelop.com/ for data sheets, videos and more.For more information about ModelOp Center – Version 2.0, please visit https://www.modelop.com/product/.*Gartner Inc., Assessing DevOps in Artificial Intelligence Initiatives, Carlton Sapp, Feb. 21, 2020.About ModelOp:ModelOp enables large enterprises to address the critical scale and governance challenges necessary to fully unlock the transformational value of enterprise AI and Machine Learning investments. The ModelOp Center platform is the essential business accountable software solution that automates the complete life cycle for models, regardless of where they are created or deployed. Fortune1000 companies in financial services, manufacturing, healthcare and other industries rely on ModelOp to put their models into business.Press Inquiries
Sophia Xepoleas for ModelOp
(925) 768-5462
[email protected]
Reveals necessity in every industry
NEW YORK, April 23, 2024 /PRNewswire/ — Released today, The State of Public Web Data Report 2024, details a comprehensive analysis on how organizations leverage public web data to drive innovation, enhance customer experience, and develop AI models.
Bright Data commissioned an independent third-party to carry out the first survey of this kind which details the emergence of public web data as the most valued data type. Nearly every organization surveyed uses and benefits from public web data through quicker decision-making, boosting revenue, and meeting customer needs.
The need for public web data in AI is clear in all industries, with more than half of respondents using public web data to build AI models for customer service or to meet internal needs such as fraud detection and risk assessment.
Although necessary to build AI machines, 72% of respondents are worried that public web data will no longer be accessible in the next 5 years. The lack of a legal framework to protect this data emerged as a top concern.
Other key insights from the report:
89% of respondents recognize public web data is crucial or very important to the global economy.82% of respondents say public web data is critical to the future of their organization.79% of respondents agree that large organizations and or big tech hide too much of their public web data.88% of respondents believe public web data is critical for the development of AI models.”Our findings reveal a clear consensus among industry leaders: leveraging public web data is key to unlocking growth and fostering innovation,” said Or Lenchner, CEO of Bright Data. “Public web data is not a ‘like to have,’ it’s a ‘must have’ to conduct business and maintain a competitive market. We understand from our own experience with 20,000 customers that once a business realizes the potential of public web data they will look to discover new ways to leverage this tool to lead against the competition.”
About Bright Data: Bright Data is the #1 web data platform. Fortune 500 companies, academic institutions, non-profits, and small businesses rely on Bright Data’s solutions to collect public web data in the most efficient, reliable, and flexible way to make faster, more informed business-critical decisions.
Contacts:[email protected]
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View original content:https://www.prnewswire.co.uk/news-releases/first-comprehensive-report-on-public-web-data-released-by-bright-data-302124673.html
ITU Standardization Sector (ITU-T) Recommendation X.1281 – APIs for interoperability of identity management systems
BRUSSELS, April 23, 2024 /PRNewswire/ — The Secure Identity Alliance (SIA) announced today that its OSIA specification, is recognized as international standard by the International Telecommunication Union’s Telecommunication Standardization Sector (ITU-T). This milestone establishes OSIA as official ITU standard (ITU-T Recommendation) for the global infrastructure of information and communication technologies (ICT).
The specification that is now an ITU-T Recommendation is: ITU-T X.1281 – APIs for interoperability of identity management systems.
ITU-T is the standardization arm of ITU, the United Nations specialized agency for ICT. The Secure Identity Alliance specifications were approved as official ITU-T Recommendations by ITU members including 193 countries and the world’s front-running ICT companies on 1st March 2024. The new ITU-T Recommendation is under the responsibility of ITU’s standardization expert group for security, ITU-T Study Group 17.
“We are very proud that the OSIA specification is recognized as an international standard by ITU-T. This milestone demonstrates the maturity of OSIA and its potential to foster interoperability and promote fairness in the identity management systems market,” said Debora Comparin, Chair of the OSIA Initiative.
Prof. Heung Youl Youm, Chairman of ITU-T Study Group 17, said, “The recognition of the OSIA specification as an official ITU-T Recommendation underscores its critical contribution to the advancement of global ICT infrastructure. We are thrilled about the ongoing collaboration between ITU-T SG17 and the SIA, aimed at developing standards for secure identity management.”
“As Editor of the OSIA standard in the ITU-T Study Group 17 Q10, I am pleased to have contributed to this successful recommendation by the ITU,” said Abbie Barbir, Rapporteur for ITU-T’s working group on ‘Identity management and telebiometrics architecture and mechanisms’ (Q10/17). “The collaboration with the SIA continues on OSIA and other structuring initiatives and standards development.”
Engr Abisoye Coker-Odusote, CEO, National Identity Management Commission (NIMC), Nigeria & Chair of the OSIA Advisory Committee, said, “As the Chair of the OSIA Advisory Committee, comprised exclusively of government representatives, we take great pride in our five years of collaboration guiding the working group in the development of the OSIA specification. OSIA establishes equal marketplace conditions, fosters collaboration, and ensures product compatibility post-mergers and acquisitions. The OSIA standardized interfaces drive innovation, enabling new local market models and reducing fraud within multiple ID systems. Additionally, OSIA addresses integrator/vendor lock-in, allowing governments to maintain control over their identity systems and pursue national development agendas seamlessly.”
“The Secure Identity Alliance has always supported standards and its members have contributed to thousands of standards globally, which are now used in the ICT market. Standards are key to unlock the full power of Identity to enable people, economy and society to thrive,” concluded Didier Trutt, Chairman of the SIA.
X.1281 is at publication stage and can be accessed here: https://www.itu.int/ITU-T/workprog/wp_item.aspx?isn=18778
OSIA v6.1.0. twin specification can be accessed here: https://osia.readthedocs.io/en/v6.1.0/index.html
OSIA qualification programme can be accessed here: https://globalplatform.org/osia-qualification-program/
For more information on the Secure Identity Alliance and the OSIA Initiative, visit http://www.secureidentityalliance.org and www.osia.io
For more information on ITU-T SG 17 visit https://www.itu.int/en/ITU-T/studygroups/2022-2024/17/Pages/default.aspx.
About the Secure Identity Alliance:
Secure Identity Alliance (SIA) is a global non-profit association that serves as the voice for public and private actors and organizations active in the secure identity ecosystem and adjacent industries. SIA’s mission is to unlock the full power of identity so that people, economy, and society thrive. The association supports the development of the activities of its members across four broad pillars: Identity for Good, Outreach, Open Standards Development and Industry Services and Solutions. www.secureidentityalliance.org
About OSIA:
A digital public good, OSIA is an open standard set of interfaces (APIs) that enables seamless connectivity between building blocks of the identity management ecosystem – independent of technology, solution architecture or vendor. More information at www.osia.io
Follow the Secure Identity Alliance at on X @secureidentity1 and LinkedIn at https://www.linkedin.com/company/secure-identity-alliance/
About ITU-T SG 17
The ITU Telecommunication Standardization Sector (ITU-T) is one of the three Sectors (branches) of the International Telecommunication Union (ITU). It is responsible for coordinating standards for telecommunications and Information Communication Technology such as X.509 for cybersecurity, Y.3172 and Y.3173 for machine learning, and H.264/MPEG-4 AVC for video compression, between its Member States, Private Sector Members, and Academia Members.
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View original content:https://www.prnewswire.co.uk/news-releases/osia-becomes-an-official-international-telecoms-union-itu-standard-302124668.html
STOCKHOLM, April 23, 2024 /PRNewswire/ — SciBase Holding AB (“SciBase”) (STO: SCIB), a leading developer of augmented intelligence-based solutions for skin disorders will participate at the Redeye Medtech event.
On April 24 at CET 9.50 CEO Pia Renaudin will present the latest developments in SciBase at Redeye. The presentation is live broadcasted and can be followed at https://www.redeye.se/events/974326/redeye-theme-medtech-2 where the replay and the presentations will be available afterwards.
For additional information, please contact:Pia Renaudin, VD, tel. +46732069802, e-mail: [email protected]
Certified Advisor (CA):Vator SecuritiesTel: +46 8 580 065 99Email: [email protected]
About SciBase:
SciBase is a global medical technology company, specializing in early detection and prevention in dermatology. SciBase develops and commercializes Nevisense, a unique point-of-care platform that combines AI (artificial intelligence) and advanced EIS technology to elevate diagnostic accuracy, ensuring proactive skin health management.
Our commitment is to minimize patient suffering, allowing clinicians to improve and save lives through timely detection and intervention and reduce healthcare costs.
Built on more than 20 years of research at Karolinska Institute in Stockholm, Sweden, SciBase is a leader in dermatological advancements.
The company has been on the Nasdaq First North Growth Market exchange since June 2, 2015. Learn more at www.scibase.com. All press releases and financial reports can be found here: http://investors.scibase.se/en/pressreleases
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/scibase/r/scibase-will-present-at-the-redeye-medtech-event-on-april-24-th-,c3966053
The following files are available for download:
https://mb.cision.com/Main/12371/3966053/2751965.pdf
Redeye presentation
View original content:https://www.prnewswire.co.uk/news-releases/scibase-will-present-at-the-redeye-medtech-event-on-april-24th-302124656.html
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