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Sulo: With 83% Recycled Material, Data Has Become Essential to Running Injection Molding
Simplifying the Industrial Software Stack
M&A in the Industrial Data and AI Platform
Throughput Optimization: Unlocking Hidden Capacity Through Digital Integration
Precision in an Unpredictable World: Why AI‑Driven Material Control Is Now a Competitive Imperative
Modernizing Industrial Data Architecture
Food & Beverage Industry: Balancing High Material Costs, Fast Innovation, and Operational Excellence
What can we expect from Manufacturing performance intelligence (MPI)
How to go from data to operational decisions ?
Optimistik and INTEC Digital Solutions enter into strategic partnership to promote industrial data and AI in Greece and beyond
Optimistik recognized by Independent Research and Advisory Firms as a major global player in Industrial Data Platforms
Axens: Unified Data Drives Industrial Performance with OIAnalytics
Optimistik awarded the “Industry of the Future Performance Council” certification
Ugitech: Analyzing, Optimizing and Anticipating Energy Needs with OIAnalytics
Biomass Cogeneration: How Pearl Bioénergie France Produces “More and Better” with OIAnalytics
Optimistik and Probayes combine their skills to democratize Artificial Intelligence in industry.
Fromarsac: from product quality to energy, digitalization spreads across the plant
Decarbonization in industry: the importance of energy optimization and decarbonization of the energy mix
[Press release] Optimistik opens subsidiary in China
Data-centric to data-driven: the real transformation behind industry 4.0
“Advanced Batch Control for Industry” ABC4I project
How can the use of data in the factory be generalised?
Energy performance in process manufacturing industry
[Podcast] Innovation and Territories — Mathieu Cura x Schneider Electric
ETRIA Cuts Toner Process Variability Threefold with OIAnalytics
Industry data driven operational teams
Industrial productivity: how to deliver more from assets?
Enterprise manufacturing intelligence 2.0: L’EMI en 2021 ?
[He is Optimistik] Nicolas Burger, R&D engineer
Group-wide digital transformation: Adisseo's experience
A collaborative tool at the service of productivity: testimony from TOSHIBA
Resilience and remote work
Aid for investments to transform the industry of the future
Optimization of processes for the chemical industry: SMAPI project
How to use our solutions with data science tools?
Cloud and SaaS, what is the point?
Using data science in the plant
Digitizing industrial pilots: Eramet's experience
[Press release] Quaternary Partnership — Optimistik
Do you have ambition? We have the solution
Data Lake in industry
Remote support for industrial performance
[Press release] INEVO — Optimistik partnership
Material performance in the food industry
[Press release] EDF — Optimistik partnership
Achieving sustainable performance with data
Process influencing factors identification: wich strategy?
5 good reasons to switch to OIAnalytics
Agro Sector Morning
6 Sigma morning — Industry 4.0
Rheonis Methods Workshop: From Measurement to Big Data
Industrial processes: defining your data analysis strategy
Processes, data and people: where does smart data fit in your organization
The 5 mistakes to avoid in your data analysis project
Energy performance: find it at the heart of your processes
Improve the design of your equipment for manufacturers through data analysis
Factory 4.0: opportunity for a new relationship between manufacturers and equipment suppliers
Increasing your energy performance: what is the role for data analysis?
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