ModelOps

Algorithmia Tackles Machine Learning Model Risk with New Governance Capabilities

Retrieved on: 
Wednesday, March 3, 2021
Deep learning, MLOps, Articles, Accountability, Academic disciplines, Machine learning, Governance, ML, Validation, ModelOps

According to Algorithmias 2021 Enterprise Trends in Machine Learning report , the top ML challenge facing organizations today is governance.

Key Points: 
  • According to Algorithmias 2021 Enterprise Trends in Machine Learning report , the top ML challenge facing organizations today is governance.
  • Current model governance approaches are not sufficient or not being applied appropriately to machine learning operations (MLOps).
  • In most organizations, governance and ML model risk management are primarily focused on validation and testing of models and inspection of documentation prior to model deployment.
  • It also augments existing Algorithmia capabilities around explainability and performance monitoring (available in Algorithmia Insights), model cataloging, repository and security.

Grid Dynamics Selected as a 2021 NowTech Vendor for Continuous Automation and Testing Services

Retrieved on: 
Thursday, February 25, 2021
Professional services, Data management, Technology, Software, Networks, Consulting, Internet, Software development, Software development process, Software engineering, Software testing, Agile software development, DevOps, Information technology management, MLOps, Continuous testing, DataOps, Continuous delivery, ModelOps

Grid Dynamics Holdings, Inc. (Nasdaq: GDYN) (Grid Dynamics), a global provider of digital transformation consulting and development services, has been selected by Forrester in its Now Tech: Continuous Automation and Testing Services Providers, Q1 2021" report.

Key Points: 
  • Grid Dynamics Holdings, Inc. (Nasdaq: GDYN) (Grid Dynamics), a global provider of digital transformation consulting and development services, has been selected by Forrester in its Now Tech: Continuous Automation and Testing Services Providers, Q1 2021" report.
  • The Forrester report discusses the modern approach to application development and delivery and highlights the benefits of continuous automation and testing.
  • Grid Dynamics has been a strong proponent of continuous automation and testing and has built a strong portfolio of solutions to address the needs of modern enterprises that includes DevOps 2.0, DataOps, MLOps, lightweight continuous delivery, data quality, test data management, continuous testing in production, chaos engineering, and AI-powered testing.
  • Grid Dynamics (Nasdaq: GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies.

C3 AI Releases Comprehensive Enhancements to Its Enterprise AI Application Development Platform and AI Applications

Retrieved on: 
Tuesday, February 16, 2021
Networks, Data management, Other Technology, Technology, Software, Articles, Academic disciplines, Cybernetics, Science and technology, Deep learning, MLOps, Applications of artificial intelligence, Artificial intelligence, Machine learning, ModelOps, Operational artificial intelligence

C3 AI (NYSE:AI), a leading enterprise AI software provider, today announced the release of major enhancements to its enterprise AI application development platform and AI applications designed to further accelerate digital transformation.

Key Points: 
  • C3 AI (NYSE:AI), a leading enterprise AI software provider, today announced the release of major enhancements to its enterprise AI application development platform and AI applications designed to further accelerate digital transformation.
  • Over the past decade, C3 AI has invested continuously in the C3 AI Suite, its open, secure, and multi-cloud enterprise AI platform that leverages a model-driven architecture, enabling end-to-end enterprise AI including data integration, model development, MLOps, application development, and model governance and maintenance.
  • In addition, the latest release includes new composable machine learning (ML) pipelines for data scientists; enhancements to C3 AI CRM, C3 AI Anti-Money Laundering, C3 AI Energy Management, C3 AI Production Schedule Optimization, and C3 AI Reliability applications; and a new enterprise AI application for the oil and gas industry, C3 AI Well Development Optimization.
  • C3 AI delivers a family of fully integrated products: C3 AI Suite, an end-to-end platform for developing, deploying, and operating large-scale AI applications; C3 AI Applications, a portfolio of industry-specific SaaS AI applications; C3 AI CRM, a suite of industry-specific CRM applications designed for AI and machine learning; and C3 AI Ex Machina, a no-code AI solution to apply data science to everyday business problems.

Datatron Releases New Governance Dashboard to Provide Trust, Transparency, Traceability & Validation of AI/ML Solutions

Retrieved on: 
Tuesday, January 19, 2021
Articles, Academic disciplines, Science and technology, Datatron, Computational neuroscience, ModelOps, Artificial intelligence, Governance

ARLINGTON, Va., Jan. 19, 2021 /PRNewswire/ -- Datatron , a pioneer in AI ModelOps and governance at scale, today announced the immediate availability of the Datatron Governance Dashboard , an adaptive, performance-based artificial intelligence (AI) governancesolution.

Key Points: 
  • ARLINGTON, Va., Jan. 19, 2021 /PRNewswire/ -- Datatron , a pioneer in AI ModelOps and governance at scale, today announced the immediate availability of the Datatron Governance Dashboard , an adaptive, performance-based artificial intelligence (AI) governancesolution.
  • "Just as cyberattacks can be devastating to companies, so can poorly governed AI models," said Datatron Board Member Rachel Moore Weller.
  • "Datatron is solving this problem by democratizing AI governance, establishing trust and transparency, and mitigating risks and fines."
  • Provide auditing and traceability of anomalies, bias, data drift, model drift, and performance, as AI models change over time.

New ModelOp Center Capabilities Improve Governance, Management and Monitoring of Artificial Intelligence and Machine Learning Models

Retrieved on: 
Tuesday, January 12, 2021
Articles, Auditing, Internal audit, Academic disciplines, Information technology management, Science and technology, Internal control, Regulatory compliance, Business process management, Artificial intelligence, MLOps, ModelOps

According to Gartner , more than 50 percent of AI models never go into production fully due to insufficient model operational processes.

Key Points: 
  • According to Gartner , more than 50 percent of AI models never go into production fully due to insufficient model operational processes.
  • ModelOp Center addresses this challenge by automating the governance, management and monitoring of post-development AI/ML models across platforms and teams, accelerating time to production, and reducing costs and business risks.
  • Associated models, which enables organizations to associate custom monitors, controls or pre/post-processing in a consistent way across groups of models.
  • ModelOp Center provides extensive and stringent governance of operational models, maintaining a production model inventory and enforcing regulatory, compliance and business controls.

Truera Raises $12M in Series A Funding to Accelerate Go-to-Market of First AI Model Intelligence Platform

Retrieved on: 
Monday, December 14, 2020
Cybernetics, Learning, Machine learning, ModelOps, AutoAI

Trueras model intelligence platform uniquely solves the model quality problems faced by every company building ML models.

Key Points: 
  • Trueras model intelligence platform uniquely solves the model quality problems faced by every company building ML models.
  • The Truera platform is already deployed at and delivering value to a number of early Fortune 100 customers.
  • Our model intelligence platform solves these issues during development, model review, testing and ML monitoring .
  • Truera provides the first Model Intelligence platform, to help enterprises analyze machine learning, improve model quality and build trust.

Adapdix secures $8M Series A funding to accelerate growth of AI-powered automation and control software

Retrieved on: 
Tuesday, December 8, 2020
Business intelligence, Learning, Articles, Cybernetics, Machine learning, Predictive analytics, ModelOps, Logi Analytics

As the first predictive analytics solution based on an industrial-grade data mesh technology, Adapdix enables ultra-low-latency, predictive maintenance and control.

Key Points: 
  • As the first predictive analytics solution based on an industrial-grade data mesh technology, Adapdix enables ultra-low-latency, predictive maintenance and control.
  • The Adapdix EdgeOps solution is addressing a significant and growing market need to extract value and control systems at the edge.
  • Adapdix's EdgeOps is a software-only solution that combines advanced artificial intelligence and machine learning (AI/ML) analytics with a distributed, edge-based control platform.
  • Adapdix provides an innovative software platform for enterprises that optimizes Artificial Intelligence (AI) and Machine Learning (ML) at the edge.

Adapdix secures $8M Series A funding to accelerate growth of AI-powered automation and control software

Retrieved on: 
Tuesday, December 8, 2020
Business intelligence, Learning, Articles, Cybernetics, Machine learning, Predictive analytics, ModelOps, Logi Analytics

As the first predictive analytics solution based on an industrial-grade data mesh technology, Adapdix enables ultra-low-latency, predictive maintenance and control.

Key Points: 
  • As the first predictive analytics solution based on an industrial-grade data mesh technology, Adapdix enables ultra-low-latency, predictive maintenance and control.
  • The Adapdix EdgeOps solution is addressing a significant and growing market need to extract value and control systems at the edge.
  • Adapdix's EdgeOps is a software-only solution that combines advanced artificial intelligence and machine learning (AI/ML) analytics with a distributed, edge-based control platform.
  • Adapdix provides an innovative software platform for enterprises that optimizes Artificial Intelligence (AI) and Machine Learning (ML) at the edge.

Comet ML Debuts Collaborative Workspaces for Data Science and MLOps Teams

Retrieved on: 
Monday, December 7, 2020
Environment, Data management, Other Technology, Technology, Software, Articles, Deep learning, MLOps, Workflow, Business process management, Machine learning, Educational technology, Draft:Algomox, ModelOps

Despite having cutting-edge technologies to build machine learning models, tools that enable enterprise machine learning teams to implement a consistent MLOps process, workflows and reporting have lagged behind.

Key Points: 
  • Despite having cutting-edge technologies to build machine learning models, tools that enable enterprise machine learning teams to implement a consistent MLOps process, workflows and reporting have lagged behind.
  • The challenges range from lack of defined workflow and processes to inability to collaborate and share insights across teams.
  • Comet Enterprise automates experiment and model management, automatically tracking data sets, code changes, experimentation history, and models all at scale.
  • Since its inception, Comet Workspaces has provided a one-stop-shop for data science and machine learning teams to consolidate, control, and collaborate on machine learning projects and experiments.

Abacus.AI announces Series B funding of $22M and Abacus.AI Deconstructed, a set of stand-alone modules that help organizations deploy AI models in production

Retrieved on: 
Wednesday, November 18, 2020
Articles, Cybernetics, Emerging technologies, Science and technology, Academic disciplines, Artificial intelligence, Artificial neural networks, Learning, Machine learning, Deep learning, Amazon SageMaker, ModelOps

As part of this release, the company is announcing Abacus.AI Deconstructed, which is a suite of 3 stand-alone tools that can be used by organizations to bring AI models to production.

Key Points: 
  • As part of this release, the company is announcing Abacus.AI Deconstructed, which is a suite of 3 stand-alone tools that can be used by organizations to bring AI models to production.
  • Abacus.AI's end-to-end autonomous AI service, powered by their Neural Architecture Search invention, helps organizations with no ML expertise easily deploy deep learning systems in production."
  • Today, when less than 1% of models trained are actually put into production, these 3 services will help organizations quickly deploy and maintain models in production.
  • Real-time machine learning feature store - This service allows organizations to easily create, store and share machine learning features and deploy real-time machine learning and deep learning models models in production.