Golden Gate University and MetricStream Bring Together Machine Learning and Edge Computing to Assess and Mitigate Risk in Enterprise Business…
SAN FRANCISCO, Sept. 16, 2021 /PRNewswire/ -- MetricStream, the industry leader in supporting the Governance, Risk, and Compliance (GRC) space, and Golden Gate University, announced the successful completion of the first phase of their "DeepEdge" project, using emerging technologies to bring innovation to business solutions.
The project started in 2019 with the goal of letting GGU faculty and graduate students in the MS in Business Analytics and MS in Information Technologies programs partner with MetricStream employees to develop new risk management solutions. The teams set out to use emerging model-based AI augmented with Machine Learning, Elastic Edge Computing, Agile methodologies maturing to DevOps, and Zero-touch Self-Managing service orchestration. The teams have successfully implemented the first application to assess and mitigate risk in enterprise contract management process, resulting in MetricStream adopting it as a part of their product suite.
"Contracts are legally binding agreements," said Vidya Phalke, Chief Technology Evangelist at MetricStream. "Knowing the obligations for every contract, monitoring and assuring compliance is labor-intensive process and error-prone. The DeepEdge project uses model-based AI, machine learning and automation of extracting the knowledge of the obligations for every contract. It integrates with processes already in place and improves monitoring and contract obligation fulfillment at scale. This type of industry-academia collaboration is what is needed to power what is next in the post-pandemic world."
Judith Lee, Business Innovation & Technology department chair, said the project "allowed graduate students and GGU faculty to work jointly with MetricStream to push the boundaries of machine learning and edge computing technologies."
"We chose edge computing for security and data privacy reasons, and the deployment was facilitated by a zero-touch operations environment supported by Platina Systems," said Ross Millerick, program director, MS/IT Management. "It allowed us to remotely access the infrastructure at MetricStream during the Covid pandemic, when our laboratory on campus was not available."
"Bringing together thought leadership in AI that goes beyond deep learning and edge computing allows us to teach our students how to push the boundaries with federated AI and edge computing" said Rao Mikkilineni, distinguished adjunct professor.
The project spanned five terms and a succession of students. The students completed their capstone obligation with the project output with support from MetricStream. The project will continue to drive innovation in various enterprise business processes. Its vision is to build a long-term mutually beneficial partnership between the GGU business school and MetricStream, to inform the surrounding business community about the importance of GRC, and to provide an ongoing local forum for dialogue and education.
Leveraging the power of AI, MetricStream is the global market leader in Governance, Risk, and Compliance and Integrated Risk Management solutions, providing the most comprehensive solutions for Enterprise and Operational Risk, Regulatory Compliance, Internal Audit, IT and Cyber Risk and Third-Party Risk Management on one single integrated platform.
Golden Gate University, a private nonprofit, has been helping adults achieve their professional goals by providing undergraduate and graduate education in accounting, law, taxation, business and related areas since 1901. Programs offer maximum flexibility with evening, weekend and online options. GGU is accredited by the American Bar Association (ABA) and the WASC Senior College and University Commission.
Media Contacts: For MetricStream Amy Rhodes, [emailprotected]; For GGU: Judith Lee [emailprotected],edu,Michael Bazeley, [emailprotected]
SOURCE Golden Gate University
View original post here:
Golden Gate University and MetricStream Bring Together Machine Learning and Edge Computing to Assess and Mitigate Risk in Enterprise Business...
- RIT researchers use machine learning to better understand the pathways of disease - Rochester Institute of Technology - October 7th, 2025 [October 7th, 2025]
- Leveraging machine learning to predict mosquito bed net utilization among women of reproductive age in sub-Saharan Africa - Malaria Journal - October 7th, 2025 [October 7th, 2025]
- Machine learning-based radiomics using magnetic resonance images for prediction of clinical complete response to neoadjuvant chemotherapy in patients... - October 7th, 2025 [October 7th, 2025]
- Machine Learning Self Driving Cars: The Technology Driving the Future of Mobility - SpeedwayMedia.com - October 7th, 2025 [October 7th, 2025]
- Investigating the relationship between blood factors and HDL-C levels in the bloodstream using machine learning methods - Journal of Health,... - October 7th, 2025 [October 7th, 2025]
- AI in the fast lane: F1 teams Alpine, Audi use machine learning as force multiplier - The Business Times - October 7th, 2025 [October 7th, 2025]
- Future Scope of Machine Learning in Healthcare Market Set to Witness Significant Growth by 2025-2032 - openPR.com - October 7th, 2025 [October 7th, 2025]
- AI and Machine Learning - AI readiness and adoption toolkit launched - Smart Cities World - October 4th, 2025 [October 4th, 2025]
- Machine Learning Model UmamiPredict Developed to Forecast Savory Taste of Molecules and Peptides - geneonline.com - October 4th, 2025 [October 4th, 2025]
- Machine Learning Boosts Crop Yield Predictions in Senegal - Bioengineer.org - October 4th, 2025 [October 4th, 2025]
- Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate - Nature - October 4th, 2025 [October 4th, 2025]
- Integrated machine learning analysis of proteomic and transcriptomic data identifies healing associated targets in diabetic wound repair - Nature - October 4th, 2025 [October 4th, 2025]
- Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency... - October 4th, 2025 [October 4th, 2025]
- Fast and robust mixed gas identification and recognition using tree-based machine learning and sensor array response - Nature - October 4th, 2025 [October 4th, 2025]
- Estimation of sexual dimorphism of adult human mandibles of South Indian origin using non-metric parameters and machine learning classification... - October 4th, 2025 [October 4th, 2025]
- Cloud-Based Machine Learning Platforms Technologies Market Growth and Future Prospects - Precedence Research - October 4th, 2025 [October 4th, 2025]
- Machine Learning Framework Developed to Optimize Phosphorus Recovery in Hydrothermal Treatment of Livestock Manure - geneonline.com - October 4th, 2025 [October 4th, 2025]
- Unifying machine learning and interpolation theory via interpolating neural networks - Nature - October 2nd, 2025 [October 2nd, 2025]
- Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records - BMC Veterinary... - October 2nd, 2025 [October 2nd, 2025]
- The Future of Liver Health: Can Human Models and Machine Learning Reduce Disease Rates? - Technology Networks - October 2nd, 2025 [October 2nd, 2025]
- Machine Learning Radiomics Predicts Pancreatic Cancer Invasion - Bioengineer.org - October 2nd, 2025 [October 2nd, 2025]
- Next-generation COVID-19 detection using a metasurface biosensor with machine learning-enhanced refractive index sensing - Nature - October 2nd, 2025 [October 2nd, 2025]
- Machine learning-based models for screening of anemia and leukemia using features of complete blood count reports - Nature - October 2nd, 2025 [October 2nd, 2025]
- Estimating the peak age of chess players through statistical and machine learning techniques - Nature - October 2nd, 2025 [October 2nd, 2025]
- Optimizing water quality index using machine learning: a six-year comparative study in riverine and reservoir systems - Nature - October 2nd, 2025 [October 2nd, 2025]
- Physics-informed machine learning-based real-time long-horizon temperature fields prediction in metallic additive manufacturing - Nature - October 2nd, 2025 [October 2nd, 2025]
- The Silicon Revolution: How AI and Machine Learning Are Forging the Future of Semiconductor Manufacturing - FinancialContent - October 2nd, 2025 [October 2nd, 2025]
- Machine learning model for differentiating Pneumocystis jirovecii pneumonia from colonization and analyzing mortality risk in non-HIV patients using... - October 2nd, 2025 [October 2nd, 2025]
- Radiomics and Machine Learning Applied to CECT Scans Show Potential in Predicting Perineural Invasion in Pancreatic Cancer - geneonline.com - October 2nd, 2025 [October 2nd, 2025]
- Machine learning and response surface optimization to enhance diesel engine performance using milk scum biodiesel with alumina nanoparticles - Nature - October 2nd, 2025 [October 2nd, 2025]
- Landmark Patent Appeal Decision Strengthens Protection for AI and Machine Learning Innovations - The National Law Review - October 2nd, 2025 [October 2nd, 2025]
- Machine learning researchers and industry leaders gathering at Santa Clara University - Stories - News & Events - Santa Clara University - September 30th, 2025 [September 30th, 2025]
- Building better batteries with amorphous materials and machine learning - Tech Xplore - September 30th, 2025 [September 30th, 2025]
- Machine Learning-Supported Fragment Hit Expansion in Absence of X-Ray Structures - Evotec - September 30th, 2025 [September 30th, 2025]
- Machine learning model predicts which radiotherapy patients are most vulnerable to adverse side effects - Health Imaging - September 30th, 2025 [September 30th, 2025]
- How AI and Machine Learning Are Revolutionizing Laser Welding - Downbeach - September 30th, 2025 [September 30th, 2025]
- What if A.I. Doesnt Get Much Better Than This? - Machine Learning Week 2025 - September 30th, 2025 [September 30th, 2025]
- Sex estimation from the sternum in Turkish population using various machine learning methods and deep neural networks - SpringerOpen - September 30th, 2025 [September 30th, 2025]
- Predictive AI Must Be Valuated But Rarely Is. Heres How To Do It - Machine Learning Week 2025 - September 30th, 2025 [September 30th, 2025]
- Interpretable machine learning incorporating major lithology for regional landslide warning in northern and eastern Guangdong - Nature - September 28th, 2025 [September 28th, 2025]
- Building Machine Learning Application with Django - KDnuggets - September 28th, 2025 [September 28th, 2025]
- Evaluating the use of body mass index change as a proxy for anorexia nervosa recovery: a machine learning perspective - Journal of Eating Disorders - September 28th, 2025 [September 28th, 2025]
- Prediction of cutting parameters and reduction of output parameters using machine learning in milling of Inconel 718 alloy - Nature - September 28th, 2025 [September 28th, 2025]
- How AI and machine learning are changing both retail and online casino experiences - Retail Technology Innovation Hub - September 28th, 2025 [September 28th, 2025]
- Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication - Medical Xpress - September 25th, 2025 [September 25th, 2025]
- IC combines machine learning and analogue inferencing - Electronics Weekly - September 25th, 2025 [September 25th, 2025]
- ODU Awarded $2.3M NIH Grant to Improve Detection of Brain Tumor Recurrence with AI and Machine Learning - Old Dominion University - September 25th, 2025 [September 25th, 2025]
- Development of a machine learning-based depression risk identification tool for older adults with asthma - BMC Psychiatry - September 25th, 2025 [September 25th, 2025]
- AI and Machine Learning Uses in Neuroscience Drug Discovery, Upcoming Webinar Hosted by Xtalks - PR Newswire - September 25th, 2025 [September 25th, 2025]
- Error-controlled non-additive interaction discovery in machine learning models - Nature - September 23rd, 2025 [September 23rd, 2025]
- AI, Machine Learning Will Drive Market Data Consumption - Markets Media - September 23rd, 2025 [September 23rd, 2025]
- Machine Learning Model May Optimize Treatment Selection and Survival in HCC - Targeted Oncology - September 23rd, 2025 [September 23rd, 2025]
- From pixels to pumps: Machine learning and satellite imagery help map irrigation - Phys.org - September 23rd, 2025 [September 23rd, 2025]
- CMU physicist challenges what we know about particle physics with machine learning - The Tartan - September 23rd, 2025 [September 23rd, 2025]
- Hire Python Developers to Leverage the Power of Machine Learning & AI - WebWire - September 23rd, 2025 [September 23rd, 2025]
- AI-Powered Biology Careers in 2025: Opportunities with Machine Learning Skills - BioTecNika - September 23rd, 2025 [September 23rd, 2025]
- Machine learning and predictingstock price movements on NGX - Businessamlive - September 23rd, 2025 [September 23rd, 2025]
- Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems - MarkTechPost - September 21st, 2025 [September 21st, 2025]
- Development of a novel machine learning-based adaptive resampling algorithm for nuclear data processing - Nature - September 19th, 2025 [September 19th, 2025]
- Autobot platform uses machine learning to rapidly find best ways to make advanced materials - Tech Xplore - September 19th, 2025 [September 19th, 2025]
- 5 Key Takeaways | The Law of the Machine (Learning): Solving Complex AI Challenges - JD Supra - September 17th, 2025 [September 17th, 2025]
- Spectral and Machine Learning Approach Enhances Efficiency of Grape Embryo Rescue | Newswise - Newswise - September 17th, 2025 [September 17th, 2025]
- Helpful Reminders for Patent Eligibility of AI, Machine Learning, and Other Software-Related Inventions - JD Supra - September 17th, 2025 [September 17th, 2025]
- Opening the black box of machine learning-controlled plasma treatments - AIP.ORG - September 17th, 2025 [September 17th, 2025]
- Post-compilation Circuit Scaling for Quantum Machine Learning Models Reveals Resource Trends and Topology Impacts - Quantum Zeitgeist - September 17th, 2025 [September 17th, 2025]
- Machine-learning tool gives doctors a more detailed 3D picture of fetal health - Medical Xpress - September 17th, 2025 [September 17th, 2025]
- Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science - Chromatography Online - September 15th, 2025 [September 15th, 2025]
- Developing a predictive model for breast cancer detection using radiomics-based mammography and machine learning - SpringerOpen - September 13th, 2025 [September 13th, 2025]
- and correlation of drug solubility via hybrid machine learning and gradient based optimization - Nature - September 11th, 2025 [September 11th, 2025]
- Rice-Houston Methodist partnership uses machine learning to reveal hidden patient groups in common heart valve disease - Rice University - September 11th, 2025 [September 11th, 2025]
- Amazon Uses Machine Learning to Tell Sellers if FBA Is a Good Fit - EcommerceBytes - September 11th, 2025 [September 11th, 2025]
- Eli Lilly Launches AI, Machine Learning Platform Called TuneLab For Biotech Companies - Stocktwits - September 11th, 2025 [September 11th, 2025]
- How AI and Machine Learning are Shaping the Future of Mobile Apps - indiatechnologynews.in - September 11th, 2025 [September 11th, 2025]
- Hybrid AI and semiconductor approaches for power quality improvement - Machine Learning Week 2025 - September 9th, 2025 [September 9th, 2025]
- The Predictive Turn | Preparing to Outthink Adversaries Through Predictive Analytics - Machine Learning Week 2025 - September 9th, 2025 [September 9th, 2025]
- NFL player props, odds and bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP - CBS Sports - September 9th, 2025 [September 9th, 2025]
- Can machine learning forecast Lobo EV Technologies Ltd. recovery - Bear Alert & Daily Price Action Insights - Newser - September 6th, 2025 [September 6th, 2025]
- Generalised Machine Learning Models Outperform Personalised Models For Cognitive Load Classification In Real-Life Settings - Frontiers - September 6th, 2025 [September 6th, 2025]
- Machine learning for the prediction of blood transfusion risk during or after mitral valve surgery: a multicenter retrospective cohort study - Nature - September 6th, 2025 [September 6th, 2025]
- Machine Learning-Driven Exploration of Composition- and Temperature-Dependent Transport and Thermodynamic Properties in LiF-NaF-KF Molten Salts for... - September 6th, 2025 [September 6th, 2025]