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Ratings and Reviews 0 Ratings
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What is Syfter?
As competition intensifies for valuable contracts, companies are increasingly seeking to leverage a variety of data sources and insights, along with sophisticated analytics and workflow management tools, to secure a competitive advantage. By utilizing Syfter’s powerful prebuilt connectors, organizations can integrate their chosen data sources into a unified platform, while also partnering with us to exploit our data science expertise in developing machine learning models that help in tracking and analyzing target companies. Incorporating all current data subscriptions and internal resources into Syfter enables businesses to create the most detailed company profiles possible. In addition, the Syfter technology suite is tailored to automate many tasks associated with company discovery and surveillance, thus simplifying the workflow for analysts and researchers in the private equity sector by amalgamating data from numerous sources and applying machine learning to derive insights that align with the firm’s specific investment goals. This fusion of innovation and automation not only boosts operational efficiency but also empowers firms to make well-informed investment choices. Moreover, the proactive use of these advanced tools allows businesses to stay ahead of market trends and respond swiftly to emerging opportunities.
What is HPE Ezmeral ML OPS?
HPE Ezmeral ML Ops presents a comprehensive set of integrated tools aimed at simplifying machine learning workflows throughout each phase of the ML lifecycle, from initial experimentation to full-scale production, thus promoting swift and flexible operations similar to those seen in DevOps practices. Users can easily create environments tailored to their preferred data science tools, which enables exploration of various enterprise data sources while concurrently experimenting with multiple machine learning and deep learning frameworks to determine the optimal model for their unique business needs. The platform offers self-service, on-demand environments specifically designed for both development and production activities, ensuring flexibility and efficiency. Furthermore, it incorporates high-performance training environments that distinctly separate compute resources from storage, allowing secure access to shared enterprise data, whether located on-premises or in the cloud. In addition, HPE Ezmeral ML Ops facilitates source control through seamless integration with widely used tools like GitHub, which simplifies version management. Users can maintain multiple model versions, each accompanied by metadata, within a model registry, thereby streamlining the organization and retrieval of machine learning assets. This holistic strategy not only improves workflow management but also fosters enhanced collaboration among teams, ultimately driving innovation and efficiency. As a result, organizations can respond more dynamically to shifting market demands and technological advancements.
Integrations Supported
Crunchbase
DealRoom
HPE Ezmeral
HubSpot CRM
HubSpot Customer Platform
Lusha
Microsoft Dynamics 365
Salesforce
Semrush
SimilarWeb
Integrations Supported
Crunchbase
DealRoom
HPE Ezmeral
HubSpot CRM
HubSpot Customer Platform
Lusha
Microsoft Dynamics 365
Salesforce
Semrush
SimilarWeb
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Syfter
Company Location
Canada
Company Website
syfter.ai/
Company Facts
Organization Name
Hewlett Packard Enterprise
Date Founded
2015
Company Location
United States
Company Website
www.hpe.com/us/en/solutions/ezmeral-machine-learning-operations.html
Categories and Features
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
