BIGML in Artificial Intelligence Platform

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Online
Oregon, USA
2011
Below $10 MN
Enterprise
5 Likes
78 Buyers Negotiating

BIGML USP

BigML offers robust engineered Machine Learning algorithms proven to solve problems by applying a single, standardized framework across company. It reduces the dependencies on many disparate libraries that increase complexity, maintenance costs, and technical debt in projects. BigML enables unlimited predictive applications across industries. It automatically adjusts resources to seamlessly meet computational needs in a cost-effective manner, while abstracting away infrastructure concerns from end-users.

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Summary

BigML offers a highly scalable, cloud-based Machine Learning service that is easy to use, seamless to integrate, and instantly actionable. Now everyone can implement data-driven decision making in their applications. BigML works with small and big data.BigML provides a selection of robustly-engineered Machine Learning algorithms proven to solve real world problems by applying a single, standardized framework across your company. Avoid dependencies on many disparate libraries that increase complexity, maintenance costs, and technical debt in your projects. BigML facilitates unlimited predictive applications across industries including aerospace, automotive, energy, entertainment, financial services, food, healthcare, IoT, pharmaceutical, transportation, telecommunications, and more.

Key Features:

Immediate Access

Instant Machine Learning in the cloud or on-premises. It starts Machine Learning project by simply signing up with email. No sales demos, credit cards, or long-term contracts required.

Interpretable & Exportable Models

Predictive models on BigML come with an interactive visualization and explainability features that make them interpretable. They can be exported and used to serve local, offline predictions on any edge computing device or be instantaneously deployed as part of distributed, real-time production applications.

Collaboration

BigML is a transparent, collaborative platform for all members of organization, from analysts and developers, to engineers and executives. It can share Machine Learning resources using granular team and project management capabilities.

Programmable & Repeatable

As an “API-first” company, BigML brings every new feature first to the REST API. Bindings and libraries are available for all popular languages, including Python, Node.js, Ruby, Java, Swift, and more.

Automation

It rapidly bring predictive modeling tasks to production through effective automation. BigML turns the difficult, time-consuming work of hand-tuning models or executing complex workflows into one-click menu options or single API calls.

Flexible Deployments

BigML has options for multi-tenant and single-tenant versions on the cloud or on-premises. BigML can be ported to any cloud provider or to a Virtual Private Cloud, with fully-managed and self-managed versions.

Security & Privacy

BigML provides user with a private Dashboard where all resources created on it or via BigML’s API which is secure and private. All connections to BigML use HTTPS, ensuring the security of user data and communications. The BigML Team does not have access to any data in the system unless the user provides explicit consent.

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78 Buyers Negotiating
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Strengths
  • +13
    Full Time Equivalent
  • +11
    Machine Learning
  • +7
    Medium sized enterprises
  • +10
    Natural Language Processing
  • +6
    Small Enterprise (Revenue< 100 Million)
  • +14
    Subscription / Licensing
  • +10
    Customer Support
  • +9
    Technical Support
  • +12
    Other Support Services
  • +14
    Chatbots or Robots
  • +13
    Forecasts and Prescriptive Models
  • +5
    Speech Recognition
  • +6
    Text Recognition
  • +5
    Enhance Customer base
  • +7
    Enhance year on year growth
  • +6
    Increase Revenue
  • +8
    Sustain in competition
  • +13
    Articles and Blogs
  • +9
    Mobile Apps
  • +10
    Offlne campaigns
Weaknesses
  • -8
    Customer testimonials
  • -14
    Breadth and Depth of Product Offering
  • -6
    Focus on Product Innovation
  • -6
    R&D Spend
  • -8
    Cloud
  • -14
    Managed Services
  • -9
    On-Premise
  • -5
    Professional Services
  • -7
    New Product Launches
  • -6
    Product Upgradation
  • -6
    Solutions Offered
  • -14
    No. of Innovations
  • -10
    Brand Recognition
  • -8
    Large Enterprises (Revenue> 500 Million)
  • -5
    Per User Basis
  • -12
    Other tools, please specify
  • -11
    Sales Support
  • -7
    Other Product Features Offered
  • -9
    Other Branding Method(s)
  • -12
    Email Branding

BIGML Reviews

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Buyer, Software, SME

4
Feb 12, 2019

“Powerful platform ”

The free datasets are perfect for a new user until you get the hang of it. Though the entire service is not free, you have a variety of open-source libraries to choose from. This is a powerful service and can carry out multiple tasks.
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James Smith

5
Feb 12, 2019

“Detailed documentation helps greatly! ”

Though its documentation is impressive, it would be best to have a basic understanding of scikit-learn before using bigML. That being said, it is easy to use on any platform since it works completely on API and has complete cloud storage for models that you develop.
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Buyer, Software, SME

5
Feb 12, 2019

“ML on Cloud is perfect”

Being available on cloud gives us easy access to all our data at all times. This includes even trained models. However, better training modules would definitely help.
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BIGML Presence in Artificial Intelligence Platform
Proving the statement, Machine Learning made beautifully simple for everyone, BIGML has been on the path of consistent growth since its inception. Serving as an open platform for machine learning, it helps both, individuals and businesses. The first version of BigML only featured decision trees as part of a very simple workflow that supported file imports and the ability to make form-based single predictions. Over time, BigML has evolved to not only support more algorithms but also multiple options for the automation of workflows, all the while abstracting infrastructure layer concerns from the analytical end user in a scalable manner. The smaller, distributed yet highly devoted BigML team’s unadulterated, hype-free best practices approach to machine learning is especially attractive to companies that prioritize the cost-effective delivery of real-life custom machine learning solutions above all else. The firm focuses on machine learning education programs to expand its user base, targeting aspiring professionals start their learning journey in multiple modalities.
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