Intellectt offers robust set of offerings in the Data & AI practice. Our services are tailored to meet the unique needs of each client. With a team of skilled data scientists and AI experts, we specialize in transforming raw data into actionable insights, optimizing decision-making processes, and driving innovation across industries. Whether it's predictive modeling, natural language processing, or custom AI applications, we deliver scalable and impactful solutions to propel your organization into the future of intelligent data-driven decision-making. Our solutions empower organizations to harness the full potential of their data and enable data-driven decisions.

Our Services Include

Data Engineering

We Provide data engineering services like building data pipelines, ETL/ELT, and data warehouses.

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Snowflake

Our data scientists can build custom machine learning models to solve complex business problems.

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Data Analytics

We offer predictive, prescriptive, and descriptive analytics to help you gain insights and drive better decisions.

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AI/ML

Our data scientists can build custom machine learning models and AI Solutions to solve complex business problems.

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Technologies We Support

Our services encompass a broad spectrum of technologies. We leverage ETL tools like Talend and Informatica, along with data warehousing solutions such as Snowflake, ensuring efficient data processing and storage. Our Data Analytics offerings include predictive, prescriptive and descriptive analytics utilizing frameworks like TensorFlow, PyTorch and scikit-learn as well as visualization tools like Tableau and Power BI for actionable insights. AI & ML services involve developing custom models with TensorFlow, PyTorch and scikit-learn and deploying them on cloud AI services. For Data Visualization we use libraries like D3.js, Plotly and Matplotlib, along with dashboarding tools such as Tableau and Grafana to create interactive visualizations and Dashboards, Facilitating effective data communication.

Case Study for Quality Assurance for Dealer Management Application.

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case study