AI for Data Analytics Partner Solutions

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Anaplan PlanIQ enables intelligent forecasting for improved business planning across finance, sales, supply chain, marketing, HR, and operations. The solution allows users with no prior machine learning (ML) experience to use statistical, artificial intelligence (AI), ML-based forecasting techniques to create accurate forecasts driven by internal and external drivers.

_{*AWS AI/ML service used: Amazon Forecast}

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Causality Link’s platform combines proprietary natural language processing (NLP) with data analytics to help analysts easily summarize the perception about current and future performance of public companies, industries, and the macroeconomy. Built on AWS, the platform enables users to identify relevant and novel content delivered on demand or in a convenient digest, now including automatic anomaly detection preview/early adopter program.

_{*AWS AI/ML services used:  Amazon Sagemaker, Amazon Translate}

With automatic insights using AutoML technologies, Domo lets you choose what parts of your data you want insights and predictions on, then Domo automatically applies hundreds of different machine-learning models to your data.

_{*AWS AI/ML service used: Amazon Sagemaker Autopilot}

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Exasol is an analytics database (in-memory, columnar, MPP architecture and auto-tuning) according to TCP-H benchmarks. Offering deployment choice on AWS, on-premises, or hybrid now enables users to train and run machine-learning models with no ML experience required with its new AutoML capabilities.

_{*AWS AI/ML service used: Amazon SageMaker Autopilot}

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InterWorks is a people-focused tech consultancy delivering premier services and expertise in collaboration with strategic partners. Through InterWorks’ collaboration with AWS and Tableau for AIDA, customers trust InterWorks to guide them toward implementing, configuring and running predictive analytics powered by AWS AI/ML on top of Tableau.

_{*AWS AI/ML services used: Amazon SageMaker Autopilot, Amazon SageMaker}

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With Pega Process AI, Pega delivers innovative, AI-powered software that enables data analysts to quickly operationalize AI, and empower their organizations to rapidly improve effectiveness and lower business complexity. From maximizing customer lifetime value to streamlining service to boosting efficiency, Pega Process AI helps domain experts to solve the hardest problems with no prior ML experience.

_{*AWS AI/ML service used: Amazon SageMaker}

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Provectus, an AI solutions provider, helps businesses adopt the right AI use cases, build ML infrastructure to drive AI transformations, and scale AI initiatives organization-wide. Provectus Crystal Engine (now available for customers in preview as part of our early adopter program) is a turnkey AI solution that empowers product, marketing, and analytics teams with ML-driven predictions of customer behavior, CX personalization, and unlocks actionable insights to drive business outcomes.

_{*AWS AI/ML services used: Amazon SageMaker}

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Qlik Sense SaaS BI enables customers to benefit from predictive analytics for on-demand insights directly within Qlik experience and furthers their journey to Active Intelligence, triggering actions in real-time, based on trusted data across the entire enterprise.

_{*AWS AI/ML services used: Amazon SageMaker Autopilot, Amazon SageMaker, Amazon Comprehend}

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Using the Snowflake and Amazon SageMaker Autopilot integration, teams can simplify the effort of transforming data into ML-powered insights. All from within Snowflake, users are able to automatically train and deploy state-of-the-art machine-learning models and make predictive results easily accessible to users and data applications.

_{*AWS AI/ML service used: Amazon SageMaker Autopilot}

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Amazon SageMaker for Tableau is a last-mile accelerator that enables data analysts to infuse AI-driven insights into Tableau analytics using machine-learning models hosted on Amazon SageMaker. With a few clicks, you can now use machine-learning models built on SageMaker directly within your favorite Tableau dashboards.

_{*AWS AI/ML service used: Amazon SageMaker}

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TIBCO Spotfire’s new Amazon SageMaker AutoPilot integration leverages powerful AutoML capabilities to automatically train and build machine-learning models directly within Spotfire. Combined with auto-generated visualizations and model explainability, data analysts can quickly garner AI-backed insights and drive value across the business.

_{*AWS AI/ML service used: Amazon SageMaker Autopilot}

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Workato’s enterprise automation platform enables business and IT teams to easily integrate applications and automate complex workflows. Anyone, from developers to administrators, can safely automate thanks to enterprise-grade security and governance, which now includes AutoML workflows for citizen data scientists designed to solve mission-critical enterprise challenges.

_{*AWS AI/ML services used: Amazon SageMaker, Amazon Lex, Amazon Polly}

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