You searched for :

How to leverage the full potential of AI Predictive Maintenance

Industrial maintenance is a crucial but challenging aspect of large-scale process industries. Traditional maintenance methods result in expensive, risky, time-consuming, and often inefficient activities. This has led to a growing implementation of digital technologies to optimize maintenance, which made clear the opportunities that these optimized processes offered, like foreseeing anomalies with predictive maintenance for example. However, successfully implementing this maintenance approach requires the integration of different cutting-edge technologies. Despite the complexity surrounding the adoption of predictive maintenance, we need to understand its leveraged opportunities in industrial environments.   Why industrial maintenance requires predictive care   Industrial maintenance can be a [...]

April 10th, 2024|Artificial Intelligence, iot, Oil and Gas|

The 4 levels of Spatial Computing

Spatial Computing might be the next frontier of technological evolution. This technology blends virtual and physical environments for seamless interaction. Certainly, Apple's Vision Pro had a significant impact on the popularity of the concept among tech enthusiasts. Yet, it still represents a slightly abstract idea for most people, as it consists of a brand-new technology that presents different levels of immersion and integration within its scope. In this regard, it’s important to analyze the concept behind the different Spatial Computing levels.     Virtual Continuum     The concept surrounding Spatial Computing is defined as the Virtual Continuum. It represents [...]

March 13th, 2024|Industry 4.0, iot|

How is AI applied to corrosion detection?

Corrosion detection is a challenging, risky, time-consuming, and expensive process. According to NACE, the global corrosion cost is estimated to be US$2.5 trillion, equivalent to 3.4% of the global GDP (2013). On top of that, it requires workers to inspect every edge of an enormous environment full of flammable hydrocarbons. However, the use of AI is reshaping this practice. AI-powered corrosion detection uses drones and sensors to map the asset digitally. And by adopting cutting-edge technology, this new method is proving to be more efficient and reliable than the traditional one. This article will analyze how AI applied to corrosion [...]

January 17th, 2024|Artificial Intelligence, Corrosion, Industry 4.0|

Top 4 AI Trends of 2024

Intro   As we step into the year 2024, Artificial Intelligence continues to transform industries and our daily lives. From chatbots to AI-automated processes, this technology is rapidly increasing the speed of operations while delivering more specified and data-driven decisions. In this volatile reality, trends and technological innovations emerge faster, reaching a point in which it is hard to keep track of new AI solutions. In this blogpost, we will explore some of the top AI trends to watch for in 2024, discussing how these trends are shaping the future of industries.   1. Increased Processing Capacity   Over the [...]

October 11th, 2023|Artificial Intelligence, Industry 4.0|

Why AI is becoming a consolidated reality

Intro   Artificial intelligence (AI) is a rapidly evolving field with the potential to transform many aspects of our lives. It is already having a significant impact on the job market, creating new jobs and transforming existing ones. Besides that, AI is democratizing innovation, helping people to be more productive and creative. This is leading to a wave of innovation from startups and individuals. However, in order to comprehend AI’s scope, it’s important to consider the fundamental aspects that led to AI’s meteoric rise.   AI’s boom   Throughout history, society always had the need for technological innovations. Although the [...]

September 27th, 2023|Artificial Intelligence, Industry 4.0|

AI Applications in Safety and Risk Management for Oil and Gas

Intro   Hazardous environments are inherent to Oil and Gas operations, especially in offshore locations. Their dangerous conditions have constantly put workers and the environment at risk. Besides that, productivity is also threatened by the asset core activities, mainly affected by corrosion-generating processes. This worrying scenario requires an optimized method of risk management. In this sense, AI plays a pivotal role in mitigating risk management concerns, and enhancing maintenance control by constantly monitoring the asset’s health. Despite that, there still are several nuances that contemplate the complexity of risk management in each operation. For this reason, let's delve into the [...]

Unlocking AI’s accuracy and reliability

AI's growth scenario   From its early days as a theoretical concept to today's omnipresent reality, AI's journey has been characterized by exponential growth. According to a 2022 IBM research, more than a third of companies (35%) report the use of AI in their business, a four-point increase from 2021. This illustrates a key change in the way we face reality, but different from other technological revolutions: today’s tool learns from its own experience at increasingly higher speed and scale.     These tools are programmed to have a human-like thought process. Moreover, they are now a reality in the [...]

Computer Vision: Understanding its importance to the Industry

Intro   Computer vision is one of the subfields of what we know as Artificial Intelligence. Thanks to advances in hardware and computing resources, this technique is widely used today. Computer vision is the ability of machines to "see" and make decisions about what they have seen. In this post, we will talk about the main concepts involving this technology that has been increasingly present in our daily lives. What is Machine Vision   The field of study and development of computer vision aims to develop algorithms that are able to process visual data, similar to humans, and transform this [...]

January 4th, 2023|Artificial Intelligence|

The active role of AI in industries’ future

Artificial intelligence has transformed the world through its application for different purposes around the globe. The recurrent use and interest in this technique have led to several developments that rapidly transformed the industrial operating environment through advances in computational techniques. Since 2020 we can notice an accelerated movement of digitalization driven by digital transformation and concepts previously presented in industry 4.0. The technologies developed in these periods and their fast emergence have provided enough visibility for broad application in complex tasks among production processes and industrial operations.     The trend is that, in the coming years, the application [...]

What is a Data Lake?

Since the digital transformation, many data have begun to be gathered in the midst of industrial processes and operations. Technologies such as machine learning, big data, and cloud computing are some of the tools developed in this period in order to handle this data so that it can become useful.   Within this scenario, a new concept of storage starts to be discussed. In this text we will address what are the main characteristics, definitions, and benefits of a Data Lake, and what opportunities this concept creates for data scientists who want to extract maximum value from data.   What [...]

May 19th, 2022|Artificial Intelligence, Industry 4.0, iot|
Go to Top