3 Engineering Trends You Need to Know
3 Engineering Trends You Need to Know
3 Engineering Trends You Need to Know
Automation
Automation is the use of largely automatic systems in a system of manufacturing or other production processes. Automation can be seen in both machinery and in software and is used to help organizations elevate efficiency and productivity, improve collaboration, and reduce workload for human laborers. System automation is a relatively new concept but has proven its value in a multitude of industries. Like AI and Big Data, automation is used to help companies explore new heights and improve the way they manage day-to-day business operations. The demand for automation software tools has skyrocketed in the last few years, mostly due to the need for cost savings, given the rapid growth in many firms.
In software (particularly the workflow and document management space) studies have shown that automation helps eliminate data entry errors and associated rework as well as reduce paper usage by up to 75%. For a large enterprise, these savings can amount to millions of dollars.
As engineering workflow software providers, we’ve seen first-hand what automation can do for your business, and as we continue to see new developments in this technology, we firmly expect rapid innovation to follow.
Further Reading: Workflow Automation – The “Now” of Engineering Project Management
Automation
Automation is the use of largely automatic systems in a system of manufacturing or other production processes. Automation can be seen in both machinery and in software and is used to help organizations elevate efficiency and productivity, improve collaboration, and reduce workload for human laborers. System automation is a relatively new concept but has proven its value in a multitude of industries. Like AI and Big Data, automation is used to help companies explore new heights and improve the way they manage day-to-day business operations. The demand for automation software tools has skyrocketed in the last few years, mostly due to the need for cost savings, given the rapid growth in many firms.
In software (particularly the workflow and document management space) studies have shown that automation helps eliminate data entry errors and associated rework as well as reduce paper usage by up to 75%. For a large enterprise, these savings can amount to millions of dollars.
As engineering workflow software providers, we’ve seen first-hand what automation can do for your business, and as we continue to see new developments in this technology, we firmly expect rapid innovation to follow.
Further Reading: Workflow Automation – The “Now” of Engineering Project Management
The Discipline of Workflow Schedule Management
Business operations seem more chaotic than ever. The economic swings seem bigger; the labor pool is tighter, more diverse, and more geographically dispersed; the amount of information is enormous; and at the end of the day, management has just become harder. Trying to get your arms around all that’s going on and ensuring the organization is focused on getting the tasks done is now more complex and daunting. Add pandemics, supply chain disruptions, geopolitical uncertainty, and now even historical inflation.
What is a manager to do?
The Discipline of Workflow Schedule Management
Business operations seem more chaotic than ever. The economic swings seem bigger; the labor pool is tighter, more diverse, and more geographically dispersed; the amount of information is enormous; and at the end of the day, management has just become harder. Trying to get your arms around all that’s going on and ensuring the organization is focused on getting the tasks done is now more complex and daunting. Add pandemics, supply chain disruptions, geopolitical uncertainty, and now even historical inflation.
What is a manager to do?
The Discipline of Workflow Schedule Management
Business operations seem more chaotic than ever. The economic swings seem bigger; the labor pool is tighter, more diverse, and more geographically dispersed; the amount of information is enormous; and at the end of the day, management has just become harder. Trying to get your arms around all that’s going on and ensuring the organization is focused on getting the tasks done is now more complex and daunting. Add pandemics, supply chain disruptions, geopolitical uncertainty, and now even historical inflation.
What is a manager to do?
Artificial Intelligence (AI)
When talking about the latest trends in engineering, it may come as no surprise that Artificial Intelligence (AI) is coming to the forefront of modern engineering. After all, it’s likely to define the way people interact with computer systems in the coming decade. Artificial Intelligence is defined as the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It has applications in marketing, banking, finance, agriculture, healthcare, and even space exploration. In essence, there are virtually no limits to what artificial intelligence can accomplish.
The term Artificial Intelligence was coined in 1956 by American computer scientist John McCarthy at the Dartmouth Conference, although the first form of AI was seen as early as 1951. In this year, a machine known as Ferranti Mark 1 developed an algorithm to proficiently learn the game of checkers, which was followed by a General Problem Solver algorithm used to solve mathematical problems. Subsequently, John McCarthy created the LISP programming language, which later became important for machine learning.
For workflow and document management software AI is helping to accomplish many of the mundane tasks humans have had to do for years. This includes tagging and indexing files, finding files through heuristics and pattern searching, anticipating bottlenecks in workflows based on previous outcomes, and much more. Letting software make suggestions and recommendations based on deep learning patterns will ultimately improve the outcomes of workflows and speed up process accomplishment.
Further Reading: ImageSite – Driving Value and Innovation
Big Data
If you’re working in technology, healthcare, finance, or any other data-centric disciplines, then you’ve probably heard the term “big data,” as it has become a focal point for consumers and organizations both large and small. The term “big data” was conceived in 2005 by Roger Mougalas - the director of market research at O’Reilly Media. Magoulas runs a team responsible for building an open-source analysis infrastructure, providing analysis services to decision-makers at O’Reilly Media.
Big Data refers to a large set of data that is almost impossible to manage using traditional business intelligence tools. Although the fundamental concept of Big Data has been around for decades, it hasn’t seen the spotlight until the early 21st century. This is primarily due to recent advancements in modern computing and computing resources now available in affordable PCs and networked infrastructure.
Companies are using big data to solve big problems. Influencers, academicians, and collaborators all agree that big data is changing the modern business landscape as we know it. It has been used in an extensive range of industry applications, including but not limited to, marketing, finance, engineering, and healthcare.
For a long time, engineering has relied on complex solution systems for structure design and analysis using sub-optimizing algorithms, such as finite element analysis. Using “big data” systems allows for a more exact solution, ironically using fewer complex algorithms but with the benefit of millions, if not billions of situational iterations.
Further Reading: Using Data to Improve Operational Efficiency
Related Links:
https://towardsdatascience.com/history-of-ai-484a86fc16ef
Artificial Intelligence (AI)
When talking about the latest trends in engineering, it may come as no surprise that Artificial Intelligence (AI) is coming to the forefront of modern engineering. After all, it’s likely to define the way people interact with computer systems in the coming decade. Artificial Intelligence is defined as the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It has applications in marketing, banking, finance, agriculture, healthcare, and even space exploration. In essence, there are virtually no limits to what artificial intelligence can accomplish.
The term Artificial Intelligence was coined in 1956 by American computer scientist John McCarthy at the Dartmouth Conference, although the first form of AI was seen as early as 1951. In this year, a machine known as Ferranti Mark 1 developed an algorithm to proficiently learn the game of checkers, which was followed by a General Problem Solver algorithm used to solve mathematical problems. Subsequently, John McCarthy created the LISP programming language, which later became important for machine learning.
For workflow and document management software AI is helping to accomplish many of the mundane tasks humans have had to do for years. This includes tagging and indexing files, finding files through heuristics and pattern searching, anticipating bottlenecks in workflows based on previous outcomes, and much more. Letting software make suggestions and recommendations based on deep learning patterns will ultimately improve the outcomes of workflows and speed up process accomplishment.
Further Reading: ImageSite – Driving Value and Innovation
Big Data
If you’re working in technology, healthcare, finance, or any other data-centric disciplines, then you’ve probably heard the term “big data,” as it has become a focal point for consumers and organizations both large and small. The term “big data” was conceived in 2005 by Roger Mougalas - the director of market research at O’Reilly Media. Magoulas runs a team responsible for building an open-source analysis infrastructure, providing analysis services to decision-makers at O’Reilly Media.
Big Data refers to a large set of data that is almost impossible to manage using traditional business intelligence tools. Although the fundamental concept of Big Data has been around for decades, it hasn’t seen the spotlight until the early 21st century. This is primarily due to recent advancements in modern computing and computing resources now available in affordable PCs and networked infrastructure.
Companies are using big data to solve big problems. Influencers, academicians, and collaborators all agree that big data is changing the modern business landscape as we know it. It has been used in an extensive range of industry applications, including but not limited to, marketing, finance, engineering, and healthcare.
For a long time, engineering has relied on complex solution systems for structure design and analysis using sub-optimizing algorithms, such as finite element analysis. Using “big data” systems allows for a more exact solution, ironically using fewer complex algorithms but with the benefit of millions, if not billions of situational iterations.
Further Reading: Using Data to Improve Operational Efficiency
Related Links:
https://towardsdatascience.com/history-of-ai-484a86fc16ef
The eQuorum Customer Promise
In 2005, eQuorum developed the first all browser-based EDMS. The system, although for on-premise use, was still created to remove client software and JAVA from user computers and allow users to have a single viewer based on the simple navigation functionality of browsers. Today, eQuorum provides that same application in a private Cloud or a SaaS Cloud option. We can do this because we are, and have always been, browser-based, understanding the enhanced speed, security, and usability of this technology.
With the abundance of document management systems on the market today, there’s no doubt that choosing the right Cloud document management software can be a difficult decision. eQuorum is here to provide a comprehensive, powerful, and most importantly – affordable Cloud document management solutions. We believe in providing real value to our customers by eliminating unnecessary costs, providing industry-leading functionality, and equipping your team with the right tools using cutting edge technology to bring your products to market faster.
To schedule a demo or sign up for a free trial of the software, please click here. Or visit www.eQuorum.com to learn more.
The eQuorum Customer Promise
In 2005, eQuorum developed the first all browser-based EDMS. The system, although for on-premise use, was still created to remove client software and JAVA from user computers and allow users to have a single viewer based on the simple navigation functionality of browsers. Today, eQuorum provides that same application in a private Cloud or a SaaS Cloud option. We can do this because we are, and have always been, browser-based, understanding the enhanced speed, security, and usability of this technology.
With the abundance of document management systems on the market today, there’s no doubt that choosing the right Cloud document management software can be a difficult decision. eQuorum is here to provide a comprehensive, powerful, and most importantly – affordable Cloud document management solutions. We believe in providing real value to our customers by eliminating unnecessary costs, providing industry-leading functionality, and equipping your team with the right tools using cutting edge technology to bring your products to market faster.
To schedule a demo or sign up for a free trial of the software, please click here. Or visit www.eQuorum.com to learn more.
Resources
Increase Productivity with Disciplined Workflow Management
When it comes to digitally managing your workflows, not all software is created equal. Efficiency is everything, which is why it is so important to make sure that you are using the right tools to get the job done.
Engineering Document Control Solutions That Increase Data Security
Utility and energy providers require a vast number of documents to manage their facilities and must use them to create effective communication, collaboration and coordination.
Engineering Change Request Solution for AEC Industry
Changes required during later phases of the design process greatly impact project costs and schedules. AECs need a rigorous engineering change management process to keep projects on track.
Resources
Increase Productivity with Disciplined Workflow Management
3 min read
When it comes to digitally managing your workflows, not all software is created equal. Efficiency is everything, which is why it is so important to make sure that you are using the right tools to get the job done.
Engineering Document Control Solutions That Increase Data Security
3 min read
Utility and energy providers require a vast number of documents to manage their facilities and must use them to create effective communication, collaboration and coordination.
Engineering Change Request Solution for AEC Industry
1:25 min
Changes required during later phases of the design process greatly impact project costs and schedules. AECs need a rigorous engineering change management process to keep projects on track.
