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Forecasting & Applied ML

Tools in Forecasting & Applied ML

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  11. ASK BOSCO

    ASK BOSCO® is a platform that combines data, marketing, analytics, and automation, designed to help companies and agencies connect their marketing data and Shopify data in one place and turn it into insights that inform marketing and business decisions.

  12. Snow park

    Snowpark is a collection of libraries and code execution environments within Snowflake, It enables the execution of non-SQL code such as Python, Java, and Scala, as well as integration with Apache Spark™, using Snowflake’s vector engine, so developers can use the programming language of their choice with data stored within Snowflake without having to move it. Snowpark provides a unified, scalable environment for data processing with built-in governance and security. It supports Snowpark DataFrames for DataFrame-based programming, Python, and pandas on Snowflake, which provides a familiar pandas API for data transformation and analysis, as well as integration with the PyData ecosystem; user-defined functions and stored procedures for writing and executing custom code; and custom procedural code. It also provides Snowpark Connect for Apache Spark to run Apache Spark DataFrames, SQL, and UDFs for data processing, with the ability to set up a Spark client, as well as Snowpark for Data Engineering to use Python to transform raw data into structured and prepared formats within data pipelines. Snowpark enables the creation of scalable data pipelines by transforming data from a data lake, data warehouse, or Iceberg tables within Snowflake. It also offers Snowpark Migration Accelerator, a free application for converting existing code to the Snowpark framework, available as both a GUI and a CLI. Snowflake provides a hands-on lab for building data engineering pipelines using Snowpark in Snowflake Notebooks, Snowpark Connect for Apache Spark content, an e-book titled *Building Applications with Snowpark for Dummies*, and Quickstart guides for building your first Python pipelines, exploring more advanced Python pipelines, and moving EDA into production using pandas. Snowflake notes that more than 50% of its customers use Snowpark weekly as of April 2024, and reports that customers have achieved, on average, 4.6x faster performance and 35% cost savings when using Snowpark compared to managed Spark services, based on customer production use cases and proof-of-concept exercises that compared speed and cost from November 2022 to May 2025. Snowflake clarifies that these results are based on real customer data and not on synthetic datasets used in benchmark tests.

  13. Microsoft Fabric

    Microsoft Fabric is a unified platform for data, analytics, and artificial intelligence that brings together a range of capabilities within a single shared computing capacity, from data modeling and data warehouses to business intelligence and AI experiences. The platform is based on Capacity Units (CUs) that can be used across different workloads without pre-allocating capacity, with the ability to scale up or down as needed and monitor usage and costs through a central dashboard. Fabric provides OneLake capabilities for storing data in a single location, with a single copy of the data across different analytics engines, the ability to connect third-party storage systems, and the use of open data formats. It also includes Mirroring to copy data from databases or data warehouses to OneLake and keep it continuously synchronized in near real time, Autoscale Billing for Spark enables automatic scaling of computing resources for dynamic or unexpected Spark workloads without impacting shared Fabric capacity. The platform also offers Fabric capacity overage to cover the cost of excess consumption and maintain operational continuity, as well as surge protection to limit background or workspace activity, and a Smoothing feature that evens out computing usage over time to help avoid additional costs. Microsoft also provides a Fabric capacity estimator to estimate capacity needs. Fabric can be purchased directly from Microsoft, through a Microsoft representative, or via an Azure partner, and capacity can be purchased from the Azure Portal after creating a free Azure account. Fabric integrates with Power BI; Fabric users who want to publish and share Power BI dashboards need individual Power BI Pro licenses, while Fabric Free users can only interact with dashboards created by others, although licensing requirements vary for certain high-capacity scenarios.

  15. Qlik Sense

    Qlik Sense is the product that established the Qlik experience in data analysis, while Qlik Cloud Analytics expands these capabilities through AI-powered insights, trusted data, agentic automation, and the Qlik Analytics Engine, enabling data to be unified, analyzed, and acted upon at the point of decision-making. The platform enables the management and integration of data from multiple sources and transforms it into interactive dashboards and analytics, with the ability to connect to multiple data sources and use the analytics engine to uncover patterns, correlations, and insights within the data. It also provides self-service analytics, visualizations and dashboards, embedded analytics, reports, artificial intelligence, predictive analytics, and AI-powered anomaly detection, in addition to Qlik Answers and agent-based analytics capabilities. Qlik also provides a foundation for trusted data that can be used with AI, analytics, and operations, with capabilities for data integration, creating trusted data products, and connecting various data sources. The Qlik ecosystem includes Data Integration products such as Qlik Talend Cloud, Agentic Data Engineering, Data Movement & CDC, Data Transformation, Data Quality and Governance, Data Products, Open Lakehouse, Data Warehouse Modernization, and Application & API Integration, while the Analytics category includes Qlik Cloud Analytics, Agentic Analytics, Conversational AI, Predictive AI, AI Anomaly Detection, Visualization & Dashboards, Embedded Analytics, and Enterprise Reporting. The platform also provides no-code automation for building workflows and executing actions across cloud systems, and enables the delivery of reports, forecasts, and analytics to the actual workplaces where they are used. Qlik Cloud supports a subscription model based on data volume for analytics, while customer-managed versions of Qlik Sense continue to be priced on a custom basis.

  16. Pecan AI

    Pecan is an AI-powered predictive analytics platform for businesses that provides forecasts for customer churn, demand, revenue, and other business metrics, with the ability to deliver those predictions to the database, data warehouse, or CRM system your teams use. The platform is designed for teams that have data and need to make decisions based on predictions without having to deal with the burden of data preparation, model building, and validation, as the Pecan predictive agent automates data preparation and modeling and answers questions in plain language. Use cases include predicting customer churn, LTV modeling, lead scoring, demand forecasting, upselling and cross-selling opportunities, customer retention, fraud prevention and chargebacks, and campaign ROAS forecasting. The platform also provides solutions for marketing teams to forecast conversions, lifetime value, and campaign impact; for sales teams to evaluate leads and forecast sales; and for operations teams to forecast demand and inventory needs, for customer success teams to predict churn risk and customer health scores, and for finance teams to forecast revenue, cash flow, and risk. Pecan integrates with the data sources and tools used by these teams, including Snowflake, Databricks, Google BigQuery, Salesforce, Firebase, Adjust, Amazon Redshift, AppsFlyer, HubSpot, Singular, IBM Db2, Microsoft SQL, Oracle, PostgreSQL, Parquet, ClickHouse, GCS-Parquet, MySQL, and AWS S3. The official page explains that the platform offers a Predictive AI Agent, scheduled forecast delivery, additional forecast batches, and forecast monitoring, with the ability to use SSO, It also enables private deployment, detailed explainability, advanced monitoring, and custom dashboards when Predictive AI is needed at an enterprise scale.

  17. Domo

    Domo Analytics is a cloud-based platform for analytics, business intelligence, data, and smart applications that combines data integration, preparation, transformation, analysis, visualization, and the creation of dashboards, applications, and workflows into a single platform. The platform enables users to connect data from multiple cloud and on-premises sources, with over 1,000 pre-built connectors, as well as the ability to create custom connections using APIs, SDKs, and Webhooks. It also enables data transformation using drag-and-drop tools, SQL DataFlows, and DataSet Views, with the ability to analyze data in its original location without needing to move or duplicate it.

  18. Automated.ai Algorithm Cloud

    Automated.ai is an Algorithm Cloud platform designed for deploying and managing algorithms and models. It allows users to provide the platform with an algorithm or model from a Git repository or via direct upload, It then automatically generates an API around the algorithm and deploys it to the user’s cloud or to the Automated.ai cloud. The platform handles server setup, security, certificates, domain configuration, and the HTTPS API interface surrounding the algorithm, while providing deployment, management, and scheduling capabilities through the website. It also supports various deep learning environments, including TensorFlow and Caffe, and allows for the configuration of GPU, Elastic Inference, and CPU servers, with the ability to specify user-specific dependencies. The platform also provides algorithm version management, scheduling, and redeployment, It automatically generates Python code to access the API via the Automated.ai package on PyPI, Curl commands for using the APIs, and a jQuery HTML page for each published algorithm to demonstrate API usage, in addition to a Swagger file that enables the creation of access tools in various languages. Algorithm Cloud Enterprise also offers a version tailored to enterprise needs, with a dedicated business publishing portal and the option to host the platform in the enterprise’s own cloud or with a cloud provider, as well as the ability to isolate the platform from the internet or the cloud provider’s network according to the enterprise’s configuration.

  19. Simcad

    Simcad® Warehouse Simulation, developed by CreateASoft, Inc., is a platform for simulating warehouse and logistics operations that enables the creation of a digital replica of a warehouse to analyze operations, improve efficiency, and plan before implementing changes on-site.

  20. FlexSim

    FlexSim is an advanced tool that allows organizations to simulate and analyze warehouse and supply chain operations in an interactive 3D environment. It helps users test different scenarios to improve efficiency, reduce costs, and analyze the flow of materials and inventory before implementing any real-world changes.

  22. DeepAI

    DeepAI is an integrated platform for generative AI that allows users to create and edit a wide range of content directly in their browser, without the need to install any software. The platform includes tools for chatting with AI, generating images, videos, and music, voice chat, photo editing, background removal, image coloring, image enhancement, image replacement, detecting AI-generated images, and text enhancement, as well as APIs for developers. It also offers specialized tools for generating images from text, converting text to video, and creating music using AI.

  23. Insilico Medicine – Pharma.AI

    Insilico Medicine is a biotech company that leverages generative artificial intelligence to accelerate drug discovery and development, and offers the Pharma.AI that covers multiple stages of the drug discovery cycle, from biology and therapeutic target identification, through molecule design and optimization, to supporting clinical development. The platform uses artificial intelligence and automation to analyze large amounts of data, discover new therapeutic targets, and propose drug candidate molecules, thereby helping to reduce the time and cost required for drug development.

  24. Arcwise

    Arcwise is a business intelligence and analytics platform that uses artificial intelligence to monitor changes in performance metrics, detect significant shifts in them, and then analyze their causes and translate them into actionable insights and decisions.