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Data Scientists

Using ANAI, citizen data scientists and other developers with limited machine learning expertise can easily ingest data, generate insights and build/train ML models.

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Data Scientists

Enabling Data Scientists to Accelerate AI Delivery

ANAI brings together purpose-built AI Cloud capabilities designed for expert data scientists with a collection of specialized resources, accelerators, integrations, and peer networking opportunities designed for data scientists, by data scientists. 

01

PLAN

Enables data scientists to focus on key strategic initiatives and eliminate tactical distractions. Increase velocity for key tasks with a wide range of data engineering best practices—automated with custom-coded pipelines.
02

Develop

Develop accurate models in a fraction of the time with full customization and flexibility to experiment.Diverse data and problem types: Data comes in various formats like visual, text, time series, geospatial. The content and context of data be it anomaly detection, segmentation, clustering, multi-labeling has significatn on Model Production and Efficacy.
  • With ANAI, pre build data connectors, Data Engineers don’t have to depend on Data Engineering team or spend majority of their time in building the data sets. ANAI, 100 plus connectors do the job for you.
  • Experiment management and tracking with full control, guardrails, and agnostic visualizations, including leaderboard, partitioning, target leakage detection, hyperparameter tuning, feature effect, prediction explanation, and more
  • Let the machine help you in EDA, Feature Engineering and ML based Data wrangling, enabling and allowing you to focus on what matters the most, I.e. the insights and business values
  • 200+ transformers and estimators, available out-of-the-box, to compose your own training pipeline.
  • Managed notebooks with scalable compute and job scheduling, enhanced with embedded visualizations and strong collaboration capabilities
03

Deploy and Operate

Single click, flexible deployment to the environment of your choice, along with lifecycle management and retraining.
  • Build once and deploy to any scoring environment with target deployments. Deploy your models in the mode of your choice, including Single Model, A/B Testing, or Champion/Challenger. Your models can also be scored in real-time (synchronous or asynchronous), in batch, or as streaming data.
  • Flexible consumption and deployment options REST API, writeback, batch, and applications
  • Centralized monitoring, management, governance, and alerting for models deployed anywhere
  • Continuous AI framework with automated retraining, challenger models, and model comparison
  • Automatic compliance documentation and project reports

data scientists | data science tools | data science automation | data science platform

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