Our service

About

  • Analyze the business’s requirements.
  • Preparation of data
  • Model creation and development for machine learning (ML).
  • Evaluation and adjustment of machine learning models
  • Delivering data science output in an agreed format.
  • User & admin training, data science support consultations.

Make data science a competitive advantage for you.

  • PoC of an AI-Based solution.
  • MVP of an AI-Based Product.
  • AI-Driven Mobile/Web App Development
  • AI&ML Empowering Your Mobile/Web App
  • ML Consulting
  • Implementation of data science solutions
  • Consulting for data science advancement
  • Ongoing data science consultation and assistance
  • Data science as a service (DSaaS)




    Flow Of A Data Science Project: From Consulting To Deployment

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    Data Science Consulting With our Experts

    Data Science Consulting

    This first stage entails a brief investigation of the topic with our data science team. We’ll look at the data, ask big questions, and set any project goals. We’ll also take the time to explain the opportunities and potential drawbacks of machine learning deployment.

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    Data Analysis And Preparation With Our Experts

    Data Analysis And Preparation

    After we’ve established the framework, our data engineers will carefully review the data sets you’ve provided to ensure they select the correct one. To prepare a dataset for the future model, they will clean the data and perform feature engineering. For data mining and analysis, we mix traditional Agile concepts with the CRISP-DM model. A typical cycle focuses on one hypothesis to achieve task and result precision.

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    Our Data Analyst Team is Fully Trained

    Modeling And Training

    During this step, the data science team will begin building and training models with prepared data in order to validate the hypothesis. The team will conduct a number of experiments in order to strike a compromise between accuracy and computer resource use. This stage’s purpose is to provide tangible outcomes in the shortest amount of time possible in order to prove the hypothesis.

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    Take Less Time To Do All Adjustment

    Evaluation And Adjustment

    Following the validation of the hypothesis through raw modeling, our data engineers will continue to adapt and refine the chosen model. This step will enhance overall accuracy while consuming less power and time.

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    Data Analyst Integration And Deployment

    Integration and Deployment

    After we’ve verified the model, we’ll put it on a test server so it can start working with real data and we can watch the outcomes. If the model meets your business objectives in the test environment, we will put it into production.

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    Explore our expertise

    WebservX assists Company in transforming raw data into valuable business insights. We deliver Data Science as a Service to technology companies and service providers, as well as complicated analytics solutions. WebservX professionals assist businesses in harnessing the potential of data. We develop specialized data analysis solutions that extract massive data and transform it into actionable information for your company.

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    We build predictive modeling systems

    WebservX data scientists anticipate the likelihood and predict outcomes using predictive modeling. We build classification and regression models to help you with practically every aspect of your organization, from strategy to marketing to distribution to operations. For example, WebservX data scientists cut unnecessary hardware maintenance by over 90% for Gogo, the top in-flight internet provider.

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    Boost data science with machine learning

    When it comes to digesting large amounts of unstructured data, machine learning offers unrivaled power. Our software developers develop unique machine learning algorithms using cutting-edge AI frameworks such as DeepLearning4J, TensorFlow, and others. For example, WebservX machine learning experts created an AI-enabled product for Gogo, a pioneer in in-flight connectivity.

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    Diverse tech stack and big talent pool

    Our data scientists are fluent in a variety of computer languages, including Python, R, Java, Scala, C/C++, SQL, Hadoop, SAS, and others. WebservX has direct access to a large talent pool of graduates and senior data experts. We can quickly identify qualified candidates for almost any data science project.

    Use Cases Addressed by Our Data Science Company

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    Operational Intelligence

    Optimizing process performance through the detection of deviations and unwanted trends, as well as the investigation of their root causes, performance prediction, and forecasting.

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    Supply Chain Management

    Improving supply chain management through accurate demand forecasting, inventory optimization advice, and supplier- and risk evaluation.

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    Product Quality

    Identifying production process irregularities that affect product quality and cause production process disruptions in a proactive manner.

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    Dynamic Route Optimization

    An ML-based suggestion of the best delivery route based on vehicle maintenance data, real-time GPS data, route traffic data, road maintenance data & weather data

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    Customer experience personalization

    Identifying client behavior patterns and segmenting customers in order to construct recommendation engines, provide personalized services, and so on.

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    Sales process
    optimization

    Advanced lead and opportunity scoring, next-step sales recommendations, negative customer sentiment alerting, and so on.

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    Financial risk
    management

    Forecasting project earnings, identifying financial risks, and determining a prospect’s trustworthiness are all part of the job.

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    Patient treatment optimization

    Identifying at-risk individuals, enabling individualized medical therapy, forecasting potential symptom development, and so on.

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    Image
    analysis

    Using automated visual inspection, facial or expression detection, grading, and counting, we can reduce human mistakes.

    FAQ

    Frequently asked questions

    Yes, of course! Our typical strategy has always been to let our clients’ end-of-service options as open-ended as feasible. We’ve worked with a number of clients that already had an app or website and needed us to integrate our work with their existing systems, tools, and CRM.

    Data is at the heart of any successful machine learning model. For any machine learning based testing / validation, roughly 1,500 data point units are required, including photographs, papers, and an overview.

    We have a competent pool of full-stack developers with years of experience working on cutting-edge and new technologies.

    What a company gets in the end is always determined by their needs: it could be full integration of a predictive model into an organization’s business apps, a custom ML algorithm tailored to industry-specific business needs, or a model that generates useful, actionable, and general insights in the form of reports, graphs, and other visual representations.

    If you’ve run into issues like overfitting, fragile features, or inaccurate forecasts, our specialists will rapidly identify the cause of the issue and assist you in devising a strategy to solve it. Aside from that, we provide ongoing support to ensure that a model’s performance is continually improved.

    In addition to designing, constructing, and integrating algorithms, we assist our clients in operationalizing predictive models in tandem with DevOps, allowing them to see a faster return on investment.

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