It’s Only Data Until You Improve Production Throughput

AI Is the Key to Unparalleled Innovation in Manufacturing

Applying data science, machine learning, and AI to augment all aspects of the manufacturing process (from process optimization to production to supply chain logistics) will help you streamline decision making throughout the organization, reduce disruptions, become more sustainable and, ultimately, maximize profit, quality, and service.

There’s very clearly untapped potential for manufacturers to embrace, so we’re here to help accelerate your company’s AI maturity and move from initial use cases to organizational transformation.

Manufacturing Data Is Complex and Varied

Manipulate It All (From IoT to Sensor Data) in One, Collaborative Environment

Manufacturing plants are inundated with a myriad of data sources (sensors, machine logs, equipment usage, and historical production data, for example). But there’s a disparity between having that data and having the capabilities to act upon the data to make a more sophisticated manufacturing plant.

Dataiku helps you combine large volumes of structured and unstructured data coming in from several systems and locations and ensures you can seamlessly connect to every source. Then, the data can be analyzed to identify patterns and, ultimately, produce results precise enough for the modern enterprise (i.e., failure traceability, predictive maintenance, asset under-utilization).

Improve Processes in Hours, Not Months

Save Time With Ready-to-Use Use Cases

It’s widely accepted that an average factory loses about 5% of productivity due to machine downtime, with some losing up to 20%. But it’s not just productivity — without working machines, companies can’t meet production requirements or deliver on their commitments.

This is just one of the many challenges manufacturing companies have to tackle. To help you reach business value faster, Dataiku offers pre-packaged use cases (i.e., predictive maintenance, anomaly detection for production, energy and CO2 management) that will change the game for your business.

Enabling Everyone, From Operators to Process Engineers

All Staff (Regardless of Technical Capacity) Have an Active Role to Play

When looking for a data and AI platform, you should ensure that it’s inclusive in nature so that all staff (from all backgrounds and with varying technical capacities) can leverage data and AI. Teams will then be able to improve their day-to-day activities and reach your company’s long-term goals.

Luckily, Dataiku provides access to data in one single environment across IT, data scientists, analysts, engineers, machine operators, plant managers, and more. Whether you’re technical and working in code or on the business side and low- or no-code, you’ll be able to find common ground for project collaboration and knowledge sharing in Dataiku’s centralized platform.

Avoid Data Security Missteps

With the IoT, Enterprise-Grade Data Security Matters More Than Ever

Data security is a key risk for any manufacturing company that handles potentially sensitive data related to its manufacturing production lines, customers, employees, or business partners. However, with emerging technologies and the rapidly expanding Internet of Things (which will create exponentially more data), how your company uses, stores, or shares data is more critical than ever before.

Dataiku provides custom governance and security capabilities to configure project-level forbidden actions and robust user permission tracking, ensuring that only authorized users can access sensitive information.

Don’t Take Our Word For It:

These Leading Manufacturers Trust Dataiku

Top manufacturing-exclusive organizations and companies with a manufacturing arm use Dataiku across their teams to propel their data science and AI initiatives forward. Dataiku is praised by industry experts for its ease of use and delivery capabilities. At the end of the day, success in manufacturing is all about improved quality, service, and profits and we want to be a building block to that success.