5 key trends are changing the manufacturing landscape
…and Keepler can accompany you in all of them!
Automation
Industry 4.0 continues the push towards automation, employing technologies such as IIoT (industrial internet of things), big data, machine learning, artificial intelligence (AI) and advanced analytics.
AI for decision making
Predictive Maintenance and Digital Twin Technologies reduce errors. IIoT, combined with big data analytics, makes it possible to use sophisticated algorithms to predict these failures with high accuracy, before they occur.
AI for processes optimization
AI in the supply chain is helping to deliver the powerful optimization capabilities required enable higher speed in decision-making, reducing cycle-times, operations, and continuous improvement.
Hyperautomation
The pandemic has led to the rise of the microfactory — small, highly modular setups that make use of leading-edge technology like artificial intelligence, robotics, and big data, to enable hyper-autonomous manufacturing.
Sensors on production lines, locators on vehicles, or even individual packages and handheld scanners in the warehouse are collecting data that must be stored, processed, and then analyzed.
The foundation for every modern analytics program is a cloud data platform where data of all types can be ingested and processed at any speed and delivered to users and systems alike in a manageable, scalable and effective way.
But, where does all that data go?
How do you pull all the relevant data together so you can use it to help make business decisions?
Industry 4.0 technologies are changing factories operations
We accompany you in the creation of a journey for the operational transformation of your industry
IoT Analysis
Integrate sensor data with structured data and obtain insights related to the operations, energy consumption, temperature, etc.
Event Data Lake
Capture events interchanged in the manufacturing plant that can be correlated with other system of the company.
Data Laboratories
On-demand data Science environments with data provisioned on-the-fly to data scientists.
Audio Analytics
Use audio analysis to detect abnormal operational situations.
AI in RPA
Use automatic document management and text recognition to orchestrate automated processes using AI
Demand Forecasting
ML model analyze historical data to understand the demand, supply, and inventory, then forecasts the future demand, supply, and inventory
Video Analytics
Analyze video and images to extract insights related to customer identity, security, object recognition, garbage bins status, etc.
Anomaly Detection
ML model to identify data points in dataset that don’t fit the normal patterns.
Optimization
Variables analysis to identify model for optimal performance conditions for ensuring a more efficient process.
Predictive Maintenance
Detect anomalies by analyzing data and predict future industrial equipment failures before they happen based on a ML model.
We help our clients transform their business through data
“Hand in hand with Keepler we managed to make a differential leap in our IoT project in the public cloud. It is the ideal partner because of its technological knowledge of the cloud and its methodological approach to data projects. In this world, where it is increasingly necessary to have a continuously updated expert knowledge and where talent management is so complicated, Keepler has been the best traveling companion to make our platform a scalable, reliable and secure product.”
Thinking about the future?
These are the goals manufacturing companies should strive for
Taking full advantage of new technologies for balancing customer satisfaction and cost efficiency
Ensuring effective execution of manufacturing operations and improving production efficiency through automation
Improving both operational and decision-making processes through Industry 4.0 technologies
