Manufacturing

dotData Transforms Manufacturing With AI

Leverage intelligent automation powered by AI to increase yield, reduce operating costs, and improve factory agility.

AI-Powered Analytics To Enable Smart Manufacturing

Discrete manufacturing and process industries are sitting on a gold mine of data. Industry 4.0 leaders are using this data to uncover deep operational insights, streamline processes, and enable faster, accurate decision-making with AI. dotData helps manufacturers leverage data from multiple sources to build effective AI/ML models that can be deployed for predictive maintenance, identifying quality issues, and supply chain optimization.

How dotData Helps Manufacturers

Manufacturing applications such as anomaly detection and real-time quality monitoring are latency-sensitive and need an ultra-fast response. Real-time data processing allows manufacturers to take action immediately to prevent undesirable consequences and requires streaming analytics capability. dotData Stream, a containerized AI engine for real-time prediction capabilities lets you deploy predictive models on edge devices such as machines, local gateways, or servers in your factory and accelerates Industry 4.0 adoption.

How dotData Transforms Manufacturing

Research & Development

Overview

Material Informatics (MI) is quickly becoming increasingly important to help manufacturers discover new compounds. dotData can predict physical properties from sample data.

How dotData Helps

By analyzing tens of thousands of patterns (blending conditions), dotData can find key predictors of physical properties, allowing manufacturers to discover insights like the relationship between the amount of raw material to physical properties.

Business Impact

Shorten material and compound development times and improve efficiency and productivity of physical property analysis.

Yield Management

Overview

Yield analysis is increasingly difficult due to shorter product cycles, advanced functionality, and broadening specifications. dotData helps leverage the vast amount of data to identify factors contributing to quality issues and allowing faster root-cause analysis.

How dotData Helps

dotData can leverage a wide variety of data types for yield analysis. Manufacturers can also leverage time-series data with varying degrees of granularity. dotData can identify conditions that impact product quality – like the relationship between product surface temperature and equipment power.

Business Impact

Improve manufacturing yield and boost efficiency and productivity of quality analysis.

Supply Chain Management

Overview

Because they rely on multiple time series models, supply chain forecasts are notoriously hard to maintain and often too slow to respond to changing market conditions. dotData can automate and accelerate the process as data changes.

How dotData Helps

Develop supply chain forecast models at accelerated rates and adjust forecasts based on changing data. By relying on AI Automation, supply chain managers can combine human experience with data-driven analysis to build multiple forecast models across products and granularity.

Business Impact

Create and maintain better forecast accuracy, reduce stock-out periods as well as excess inventory, while lowering the cost of shipping costs by optimizing your supply chain.

Sales & Marketing

Overview

Leverage historical data like contract rates as well as related information like sales activity and customer attributes to effectively create better sales forecasts and campaigns.

How dotData Helps

With dotData, you can arm your sales staff with key predictors of customer interest like customer visits as they relate to product interest. Factors like contract rate can be provided to sales and combined with BI dashboards to create dynamic performance indicators that help guide sales and improve win rates.

Business Impact

Improve sales performance and boost customer satisfaction by predicting more accurately customer interest in specific products.

Warranty Planning

Overview

Create failure prediction models by utilizing historical data from both operations as well as from sensor data in shipped products. Reduce maintenance costs and improve customer satisfaction by identifying high-risk products in advance.

How dotData Helps

Identify factors that impact product failures like operating mode and duration and provide maintenance personnel with critical information to manage customer expectations for maintenance of at-risk products.

Business Impact

Lower maintenance costs and improve customer satisfaction by decreasing downtime and improving maintenance processes.

dotData meets your needs

dotData Cloud

Take your AI experiments to the next level without worrying about infrastructure with the most powerful Cloud-based No-Code AI solution.

dotData Enterprise

Develop and deploy predictive analytics models in record time with the power of Automated Feature Engineering and No-Code AI Development.

Feature Factory

Build better ML models with better features. Augment your hand-built features with Automated Feature Engineering fully integrated in your Python Environment.

dotData Stream

Deploy models in real-time applications quickly and seamlessly with the power and speed of dotData Stream.

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