In this fourth installment of our Ideal Candidate for AI Optimization series, we explore the transformative role of artificial intelligence in the winery and brewery industries.

AI is emerging as a game-changing tool to help manufacturers turn waste into wealth. By leveraging production AI software, companies can optimize processes, reduce waste, and even generate new revenue streams.

It's certainly an exciting time for manufacturing in general, and for professionals leading those industries, 2025 should be a year of analysis, planning and action. By taking the initiative manufacturers can gain firsthand insights into the technology's impact, identify areas for optimization, and build a competitive edge. Here's the top trends in Manufacturing AI in 2025.

Roasting is a transformative process essential to industries ranging from coffee to cacao and nuts production. Today, advanced technologies like AI and real-time data integration are reshaping the roasting landscape, delivering unprecedented precision and operational efficiency.

A failed AI project doesn't signify the end of your journey but rather an opportunity to recalibrate and come back stronger. In fact, some of the most successful AI implementations stem from lessons learned in earlier attempts. A setback allows your organization to recalibrate its approach, refocus on core goals, and refine strategies to build a more effective and impactful AI solution.

The integration of AI is reshaping this landscape by introducing automated set-point recommendations, a feature of automation that ensures the mill operates consistently at optimal conditions. The following is an analysis of the achievements of one of Wizata's clients.

As digital transformation reshapes industries, numerous myths and misconceptions about Industry 4.0 technologies continue to create barriers to adoption. To overcome these challenges, industry leaders must focus on understanding these technologies' practical applications and tangible benefits. 

In this third article in our "Ideal Candidate for AI Optimization" series, we explore AI’s transformative role in the roasting and baking sectors, where precision and consistency are essential to maintaining product quality. 

In this article, we'll dive into these three AI benefits, explore how to measure their impact, and consider whether pursuing multiple benefits simultaneously is a feasible option.

Companies often start with a pilot project to evaluate AI's potential before full-scale adoption. In this article, we'll explore the concept of AI pilot projects, why companies prefer this approach and how to measure their success.

In this second article of the Ideal Candidate for AI series we explore AI's role in the bottling and packaging industries, where product waste is substantial before it reaches the customer, therefore providing great value for companies in such sectors. 

This strategic guide will explore how businesses can effectively track ROI from AI implementation, leveraging tools such as AI/ML and IoT platforms. We'll delve into the key metrics, methodologies, and best practices to help ensure that AI implementation leads to measurable results.

Artificial Intelligence (AI) is revolutionizing many industries with continuous processes. While our AI solutions are highlighted here for their impact on cement production and the food and beverage sector, their applications extend across various other sectors.

Starting an AI project can be both exciting and daunting. It involves not just the technical aspects but also strategic planning and alignment with your business goals. 

As digital transformation reshapes industries, many myths and misconceptions about Industry 4.0 persist. Understanding the practical applications of Industry 4.0 technologies is crucial for digital industry leaders.

The integration of Artificial Intelligence AI & IoT is undoubtedly revolutionizing the cement industry. As digital transformation gains momentum, cement producers increasingly adopt these technologies to enhance efficiency, quality, and sustainability.

In the age of the Industry 4.0 revolution, the production landscape is transforming rapidly, driven by advancements in technology and data analytics. 

Unlock the value of industrial data in Industry 4.0 with insights from Batist Leman and Philippe Maes.

Explore Wizata's 5-year journey of AI innovation and success. Join us as we reflect on our milestones and look forward to empowering industries with AI.

Explore the future of manufacturing with Wizata and Mlean's partnership, offering AI-driven solutions for optimized operations and continuous improvement.

Dive into the world of blow molding technology in bottling lines. Discover how AI is shaping the future of container creation in the industry.

Learn how AI is optimizing filling operations in the bottling industry, improving efficiency, and driving data-driven decision-making. Get ready for a more efficient future.

Explore how bottling line operations are evolving with AI and digital technologies to boost efficiency and precision. Discover the future of manufacturing processes.

Delve into the realm of IoT technology with our blog on Advanced Anomaly Detection for Breaking New Grounds in Internet of Things Technology.

We surveyed IoT Integrators and Manufacturers worldwide to get insights on AI's current state and future outlook in the industry.

Many industries are highly dependent on a limited number of raw materials. By implementing sustainability practices, these materials can be used better.

Learn more about the steel process. But not the classic steel process that is very manual and old-school. Learn more about AI and data-driven one.

Automation in industry 4.0 is often followed by a resistance to change among employees. Here are some tips that will make the transition more manageable.

Logistics automation is the future of e-commerce. Don’t let your business fall behind the times; read all warehouse automation here!

If you own a manufacturing business, consider adopting AR technology to redefine internal processes and increase efficiency across the entire operation.

Robotic Process Automation is about to a big part of our lives. To stay informed, check out this article about robotic process automation and its benefits!

Industrial automation of Industry 4.0 but comes with significant cybersecurity risks you must overcome to keep your operational data safe at all times.

As supply chain management becomes increasingly complex, artificial intelligence software solutions are needed to optimize the process and increase value.

Digital equity is one of the challenges of digital transformation, but when done right, the adoption of new technologies improves all business processes.

IoT solutions are the backbone of the digital transformation in manufacturing, and predictive maintenance is an essential process for optimizing production.

Smart factory solutions will change the way we look at the industry. Be the first to find out more about why 2022 is the key year for it!

If you have wondered about the difference between digital twin, digital model, and digital shadow, this article will bring you expert-level clarity.

IoT solutions are finding their way into many business operations and industries. Let's look at the challenges of adopting IoT and how to overcome them.

Artificial intelligence is here to stay. But how can we instill it with ethics to prevent it from endangering humankind? Click here to read more!

Artificial intelligence solutions are reimagining businesses and entire industries by using operational data to increase efficiency and productivity.

AI in industry is changing manufacturing from the ground up. Techniques such as predictive maintenance allow companies to save money and reduce downtimes.

Want to learn more about Industry 4.0 and industrial data? Then check out our article and learn about the next evolutionary step of industry itself.

Knowing which external data to harness is the first step. The second is knowing how. And third, you’ll have to click here to read more about it!

Digital Twin uses real-world operational data to run virtual simulations that help reduce errors and improve performance and efficiency in manufacturing.

Responsible AI principles ensure that the artificial intelligence solution is free of bias and discrimination. Read the article for more details.

Read this article and learn more about the challenges of machine learning product development and how to overcome them to create the best product possible.

RPA software is widely used in the steel production industry to increase efficiency and reduce costs through automation. It's the future of manufacturing.

Industry 4.0 is here, focusing on digitalizing manufacturing to improve operations. Let's take a look at the technologies that make it possible.

Smart factory solutions redefine the manufacturing industry by introducing technologies to improve efficiency and bring production to a new level.

The applications of IoT in manufacturing are constantly growing. New technologies work together to transform manufacturing and prepare it for the future.

SaaS cloud technology is one of the reasons behind successful manufacturing companies. It provides benefits manufacturers use to improve operations.

AIaaS solutions provide businesses with AI capabilities for a fair price. The AIaaS model makes AI available for all business types and applications.

The use of AI in industry is growing every year. AI is changing how entire industries work by analyzing large amounts of data to find better solutions.

The steel industry is entering a digital transformation that uses new technologies to drive value and reach new heights in efficiency and cost reduction.

The steel industry is evolving as manufacturers started adopting AI-powered solutions. This article goes over the business benefits of AI in production.

Upgrading your business can seem like a hard task. Luckily, implementing AI into it can improve your work drastically, and here are six reasons to do so!

Digital twin technology is revolutionizing manufacturing practices with the use of data. It's a powerful AI-driven tool that will change entire industries.

The digital transformation dubbed industry 4.0 in a steel company is completely redefining practices and preparing the industry for the 21st century.

With the ability to extract knowledge from data, AI in the steel industry helps producers deal with numerous manufacturing challenges. Find out how!

Every SaaS implementation strategy is only as good as the planning and preparation. Read on and learn which steps to take when adopting new SaaS solutions.

There are a ton of SaaS metrics that can help you improve your business operation and increase revenues. Let's see which ones are the most valuable.

Decision-making with AI is redefining entire industries and most business practices. Read on and learn more about AI's increasing role in decision-making.

AI integration in business operations increases productivity and multiply ROI. Read this article and learn how to complete the transition correctly.

Artificial intelligence solutions for preventing defects use advanced sensors and laser technology to improve quality control and increase efficiency.

The food industry also uses artificial intelligence to improve existing practices and bring food processing to a new level of safety and efficiency.

Machine learning and artificial intelligence are redefining existing manufacturing practices by optimizing all business processes and reducing costs.

AI-powered manufacturing solutions are changing business practices using technologies that improve efficiency and lead to a significant cost reduction.

SaaS business solutions use advanced technologies such as AI, ML, and cloud computing to improve business processes and reduce operational costs.

AI and ML solutions are leading the way for the fourth industrial revolution. These technologies work together to improve business processes on all fronts.

Machine learning is an advanced technology designed to improve processes and increase efficiency. Read more to see how it applies to small businesses.

Small businesses and enterprises alike are using AI to improve their operations and product quality. Read on to see more about the benefits AI provides.

There are a few modern technologies that are changing manufacturing practices across multiple industries. This article will tell you more about them.

AI solutions offer a set of advanced features and built-in tools that work together to improve quality management and improve business processes.

AI and ML are the leading technologies for production optimization. Together, they can improve product quality and revolutionize manufacturing practices.

Manufacturers are constantly looking for ways to reduce downtime in production, and AI is by far the most efficient as it allows a predictive approach.

Even though simulations and digital twins might seem similar, these two approaches to product testing and development offer very different results.

The digital transformation process is complex and requires businesses to change their operations completely. Follow these simple tips for better results.

IoT applications are transforming business processes in a wide range of industries. To find out more about IoT applications, read this article.

Getting your business ready for industry 4.0 needs a lot of careful planning and calculations. Read this article to learn more about the process.

With so many available technologies, it's hard to say which ones will lead the way in 2022. Read more as we go over the biggest contenders.

When choosing new technologies for your business, you have to ensure that they are designed according to the best practices to get the best results.

Digital Twin technology is the next step in digital product and process simulations. Read this article and see how this technology improves businesses.

Industry 4.0 and manufacturing practices are changing as new technologies keep improving product development leading to new global business opportunities.

Every digital twin application has the power to improve an operation through practices such as predictive maintenance, asset monitoring, and AI analytics.

AI is the future of construction as it can improve worker efficiency, reduce risks, and find potential issues through predictive maintenance.

Good customer support is a must if you want to build your business. AI customer support solutions can help you ensure that you get things right every time.

AI application areas keep expanding every day. AI is already transforming the world by using big data to find better solutions to all kinds of issues.

Ensuring that your business and sensitive data are safe at all times is a must in a world full of cybercriminals. AI cybersecurity solutions can help a lot.

If you're having a hard time understanding the difference between AI and data science, this article will explain all of their similarities and differences.

Digital twin technology is changing how manufacturing works by recreating entire projects in a digital environment and using it to predict performance.

One of the issues a 21st-century society faces is waste management. One of the best ways of offering a massive industrial solution is the use of AI.

The digital transformation requires companies to train employees for new technologies. Employee training & automation can work together for better results.

AI can help create a safe workplace by using sensors to track employees, machines, production lines, and send alerts to prevent injuries and other issues.

Data quality has a huge impact on creating a trustworthy AI system. AI needs high-quality ML to work and that's impossible without good data.

The latest industrial revolution is changing manufacturing by combining traditional methods with new technologies posing complex challenges for engineers.

Digital advances are leading the fourth industrial revolution. Read through our article to find out how they are affecting the future of production.

In this article, we will discuss the importance of relying on the right software solutions for your small business that will help improve your operations.

AI is used by businesses all over globe to boost output and insights. Examine the main uses and advantages of AI in different industries.

Working smart is important as putting in the effort. Read our article to learn how business intelligence can increase productivity in many different ways!

AI solutions help manufacturers improve their operations on all fronts by identifying issues in the earliest stages and boosting management capabilities.

Business process management is a demanding practice that can be improved drastically with the use of AI that uses data analytics to find the best solution.

Growing an organization in the 21st century requires better quality management that can be achieved with the use of advanced AI software solutions.

As the volume of data keeps growing, AI is the only tool that can ensure accurate decision-making. It's a real game changer for businesses everywhere.

Wizata, the Luxembourg based Industry 4.0 Artificial Intelligence solutions provider to the process industry, is excited to welcome Finindus to complete its latest funding round led by Volta Ventures and KBC Focus Fund and backed by the original founders and initial investor Expon Capital.

The Industry 4.0 Artificial Intelligence startup from Wizata just raised €2.7 million from the original founders Volta Ventures and KBC Focus Fund.

Direct cloud connection is ideal for sensors in Industry 4.0, but due to cost and bandwidth limitations, an edge layer needed for data selection and analysis

With estimates that up to 50% of engineers could retire within a decade, retaining the knowledge & know-how of the production processes in the future.

AI enables major leaps in optimizing existing industrial processes towards Industry 4.0. Still, AI isn’t a one-size-fits-all magic money tree.

Why concentrate on measuring quality issues when it’s too late to correct the problem? With AI, you can predict the final quality of your products.

The concept of Digital Twin is an essential building block for companies ongoing their digital transformation towards advanced Data Analytics & Industry 4.0.

Generating insights from raw data instead of structured and contextualized data has been a challenge for existing AI algorithms and models.

Checking, repairing, and servicing machinery &equipment while maximizing efficiency &keeping costs down is a constant battle for manufacturing sector.

As countries and companies are putting frameworks in place to fight climate change and protect the earth’s ecosystems.

Getting your company on the cloud: a multi-stage ascension depending on your needs. Data is the basic information block that drives AI.

Data is the fuel of your AI engine. Luckily, the value of data never decreases and gets more useful the more you use it.

Departments within companies and corporates in every sector are feeling the macro changes brought about by Industry 4.0 and AI.

This technology allows the machine to perceive, learn, reason, and communicate through observation of data, like a child that grows up acquires knowledge.

AI is the most promising field of computer science that were once reserved for living species,such as knowledge,memory,decision making and problem solving

The manufacturing industry and the metal producers such as the steel industry face transformational challenges that are amplified in the recent years.

A successful AI projects is the result of synergy between business expertise, technical proficiency, a strong methodology an astute management of progress.

The quality of your data influences every process that depends on it. Ziad Benslimane, points out key aspects of data determine business decision outcomes.

As your AI project takes shape, data science becomes central part of R&D to solve your business issues, whether it is for finding a root cause issue.

A digital transformation is a more complex endeavor than following a predefined, generic recipe where data magically guides you to the best outcome.

A digital transformation is a more complex endeavor than following a predefined, generic recipe where data magically guides you to the best outcome.

How is an AI-infused factory different? How are engineers and operators on the production line working and interacting with AI?

Our brand-new office in Capellen officially became Wizata’s new HQ this Thursday, with a convenient space to enhance the team's deep collaboration.

Prescriptive analytics is the final frontier of analytic capabilities and will play a crucial role on the road to Industry 4.0

As factories approach the complexity of a biologic cell, it’s becoming increasingly tough to track, understand and optimize the flow of what’s going on.

We've compiled a shortlist of advices extracted from the trenches to avoid common pitfalls and for you to get fast, impressive, and inexpensive results.

Through certifications giving Wizata the opportunity to reach the highest level of competency given by Microsoft in the field of Cloud Platform.

How predictive and prescriptive analytics accelerate innovation Artificial intelligence (AI) is disrupting all industries.

With prescriptive analytics, Wizata enables you not only to predict the future of your production, but to determine the best actions to reach your goals.

The Artificial Intelligence startup from Luxembourg Wizata just raised €1.5 million in fundraising, including €500,000 from Digital Tech Fund.

Wizata today proudly announced it has won the 2017 Microsoft Country Partner of the Year Award for Luxembourg.

The Gold competency is the highest level of excellence recognized by Microsoft, demonstrating proven expertise in delivering quality.

Wizata won the Startup of the Year Award 2016 at Luxembourg ICT Gala Dinner on December 1st.