Automation is the very foundation of the manufacturing industry. From the very first steam-powered machines, automating processes has been at the heart of lowering operating costs, boosting quality and providing better products. AI and machine learning are helping manufacturing companies find new ways to leverage automation to continue to solve new problems.
Boosting Manufacturing Capabilities with AI
How AI Helps Manufacturing
rease manufacturing yield, reduce the cost of rework, and predict production lines and areas of operations that are at the highest risk for quality problems using AI and machine learning. With dotData, your manufacturing operation can improve output performance while maintaining tight budgetary constraints. Our full-cycle data science automation platform helps you create models without having to invest heavily in manual data science operations.
Use historical data from your manufacturing equipment and from sensors in your operations to model potential equipment failure that can lead to catastrophic manufacturing stoppages and slowdowns. Reduce maintenance costs by identifying high-risk equipment and proactively performing minor repairs and upgrades before they become high-cost problems.
Having accurate forecasting of both demand and supply pipelines improves efficiency, reduces costs, and helps eliminate waste. Apply AI and machine learning models developed with dotData to predict sales more accurately, to forecast individual product demand to optimize ordering and manufacturing schedules and to identify gaps in your supply chain or potential cost increases that could negatively impact your profitability.
Predicting plant capacity and effectively planning changes in usage of labor, utilities, and other variable costs can impact both actual operations as well as your bottom line. Leverage dotData to use your historical production schedules, sales performance, utility usage, and other operational data to predict plant capacity, manage resource requirements more effectively, and maximize your bottom line.
Use Cases for AI in Manufacturing
Robotic Process Automation (RPA)
Reduce process times by digitizing them with robotic process automation (RPA).
RPA helps you leverage bots to operate legacy systems in a more automated, more efficient way without replacing legacy systems, which is costly and time-consuming. Automate and accelerate the process of bot programming by implementing a 100% full-cycle data science automation platform that can learn from historical data associated with manual system usage, and that can continuously improve bot performance by leveraging an API-based deployment that can help your process bots improve over time.
Minimize disruptions to operations by predictively maintaining robots and machinery in your plants.
Whether it’s preventing unplanned downtime due to costly equipment failures, maximizing performance times, and increasing productivity by planning optimal equipment maintenance intervals are just some of the applications for AI and machine learning. dotData can help you leverage both historical as well as sensor data to build predictive models that will keep your operations running smoothly.
Add predictive analysis to your industrial, analytical systems to help analyze production logistics, save time, reduce costs, and eliminate operational inefficiencies.
dotData can help you leverage the wealth of historical analytical data that you have on plant operations to build predictive models that will help reduce costs and improve efficiency. dotData’s API-based implementation means that you can quickly deploy your predictive models in analytical environments.
Inventory & Supply Chain Management
Whether it’s managing supply efficiency or optimizing inventory levels, predictive analytics can help manufacturing operations achieve unheard-of levels of efficiency while lowering costs due to excess inventory levels, reducing expenditure on rush charges for urgent inventory replenishments or optimizing supply chain usage by identifying vendors and shipment partners that provide the best quality to cost mix available for your business.
dotData can help you leverage historical supply chain data to predict potential parts shortages, identify channel partners that are most likely to incur cost increases, and create an optimized supply chain model that drives output and minimizes costs.
Leverage advanced robotics to automate manual processes, backed by the power of AI and machine learning.
Whether it’s mapping a manual workflow for replacement by a robot or using IoT technology to monitor robot health and status, dotData helps you maximize your return on investment from the purchase and deployment of robotic equipment. You can leverage both historical and real-time data to predict usage, monitor, and predict robot downtime, and optimize the efficiency of operations.
The Right Product for the Right User
Start by selecting the product you need, based on your environment, your use-case and your need to “get dirty” with the details of your data science workflow.
AutoML 2.0 & Data Science Automation
Leverage a full GUI experience to automate as much of your data science workflow as necessary. Empower citizen data scientists and data scientists alike.
How dotData Helps Manufacturing Companies
The data center for the modern bank is quickly becoming one of the most sophisticated and diverse of any industry. dotData provides a rich set of solutions that will provide immediate benefits to all impacted parties:
Chief Data Officers
Get projects out of the lab
Manufacturing companies own a wealth of data. As a Chief Data Officer, one of the biggest challenges is not whether you use the data you hold, but instead whether you are truly getting the highest possible ROI from your data ownership investment. dotData can help your organization maximize its data usage and data ROI by accelerating 100% of the data science workflow. Liberate your data science teams from the AI “deep freeze” caused by highly manual feature engineering processes with dotData.
Chief Data Scientists
The tools your team loves, without headaches
Accelerate your data science practice and remove roadblocks that prevent 96% of your AI and machine learning projects from ever leaving the lab with dotData. Whether it’s reducing the tedium of feature engineering, or creating a more integrated productization process that helps you optimize and retrain your AI models with real-world data, dotData’s full-cycle data science automation platform can help you create an optimized workflow that will finally deliver on the promise of data science.
Chief Information Officers
Data science without the headaches
Whether it’s by enabling the “citizen” data scientist, or by accelerating your data science team’s workflow, dotData can help Chief Information Officers in manufacturing operations by helping your team complete AI and machine learning projects accurately and on time. dotData can help your business finally monetize the wealth of sensor and historical performance data to optimize everything from your supply chain to planning and managing downtime. dotData helps CIOs create data science environments that deliver on the promise of AI and automation.
AutoML 2.0: Data Science Automation Accelerates Your Business
Scaling a data science practice is challenging, time-consuming, and expensive. With Automated Data Science, you can empower data analysts, software engineers, and BI professionals to build and benefit from predictive models. Through Data Science Automation, you can embed models into applications seamlessly, while freeing up the time of your data science team to be more productive.
BI & Data Analysts
Unlike traditional AutoML systems that require users with in-depth knowledge of data wrangling and constructing feature tables, dotData automates 100% of the data science process. With dotData and minimal training, your BI team and data analysts can quickly learn to contribute to your ML and Enterprise AI initiatives, freeing precious resources and accelerating time to market for your AI & ML initiatives.
Data scientists spend 80% of their time in wrangling with data and constructing complex feature tables. By automating the entire workflow, you can liberate your data science team from the mundane tasks associated with data science and give them the power to provide tangible value to your business in a scalable, seamless manner that is not possible with hand-coded approaches or traditional AutoML platforms.
IT & Software
Integrating your AI and Machine Learning models into production environments is a crucial step in deriving value from your Enterprise AI projects. dotData gives your IT and engineering teams a seamless API-based integration model that enables Continuous Deployment and makes deploying and maintaining models fast and straightforward.
Executives and Line of Business
Giving executives and line of business leaders insights into the Machine Learning and Enterprise AI process provides the transparency and line of sight needed to keep projects moving and provide discernible ROI and value for the organization.