Boosting Production Process Efficiency with Data and AI

Find out how your manufacturers can overcome market uncertainties, strengthen Industry 4.0 progress and effectively upgrade operations through strategic, targeted implementation of data and AI technologies.

Download now

Integrate tools and processes that make your factories smarter

According to Deloitte research from 2024, 55% of surveyed industrial product manufacturers are already using AI solutions in their operations, and over 40% plan to increase investment in AI and machine learning (ML) over the next three years. It’s clear that data and AI technologies are vital to companies’ efforts to optimize core production processes. Along with analyzing historical and real-time production data to detect inefficiencies, AI-driven systems can anticipate equipment failures and reduce downtimes. Download this ebook from Software Mind experts to get data, AI, edge and embedded software insights, learn best implementation practices and explore practical case studies.

Fill in the form to get your guide

What will you learn from this ebook?

Strategies for optimizing data

Learn how to enhance the quality and analysis of your data, to ensure it is ready to support new technologies – without disrupting operations.

Benefits of AI at the edge

Discover how implementing AI and ML directly on edge devices can support predictive maintenance, real-time anomaly detection and quality inspection.

Real-world applications of data and AI technologies

Explore use cases about AI-driven quality monitoring and anomaly detection that cover challenges, methods, timelines and results.

Insights into data-driven manufacturing

Dive deeper into how integrating real-time data collection and advanced analytics onto shop floors enhances operational productivity.

Best practices for implementing AI

Get a practical, step by step guide to targeted implementations at the machine level that delivers increased agility, visibility and control.

Strategies for optimizing data

Learn how to enhance the quality and analysis of your data, to ensure it is ready to support new technologies – without disrupting operations.

Insights into data-driven manufacturing

Dive deeper into how integrating real-time data collection and advanced analytics onto shop floors enhances operational productivity.

Get the ebook

Authors

Kasper Kalfas

Cloud architect

With over 8 years’ experience in software development, Kasper has been designing cloud infrastructures, developing DevOps solutions and creating data lakehouses for companies across sectors. Specializing and certified in Amazon Web Services (AWS), Azure and Google Cloud Platform (GCP), he’s passionate about finding innovative answers to complex problems and exploring opportunities offered by new technologies. After work, he tests and reviews data and AI tools on his blog, where he’s building a community of API and AI enthusiasts.

Radosław Kotewicz

IoT business and technical consultant

Experienced with IT and connectivity standards organizations, Radoslaw has been working in the IT and Internet of Things (IoT) industries for over 15 years. His broad expertise, in embedded systems engineering and project management, has enabled him to support the development of IoT products and solutions for the last eight years. He has also been involved in creating certification test tools throughout his career, including a wireless automated charging test system.

About Software Mind

Comprehensive software development services for manufacturing

Software Mind engineers software that reimagines tomorrow. For over 25 years, our engineers and consultants have been accelerating digital transformations and boosting software delivery for companies of all sizes across different industries.

Find out what we do

Newsletter