Partnership, collaboration, and technology investment crucial for growth opportunities, says Frost & Sullivan’s industrial automation and process control team
The Internet of Things and data analytics are transforming the manufacturing space, and data is the new currency.
Currently, human intervention is needed for logical and reasonable decision making. However, with the rise of cognitive technologies, machines will be empowered to detect constantly changing manufacturing scenarios and respond in real time with minimum human intervention.
Kuka has agreed a deal with Beet Analytics as part of robot maker’s Industrie 4.0 strategy.
Kuka will now be able to offer Beet’s industrial IoT technology as another tool in their Industrie 4.0 eco-system and to offer Beet technology on Kuka solutions.
Ronny Chiang, president Beet analytics technology, says: “We are excited to work with Kuka, whose global industrial leadership in automation systems will further strengthen Beet’s presence in the global market. This will allow OEMs [original equipment manufacturers] to access Beet IoT solutions with a respected and established leader standing behind it.” Continue reading Kuka agrees deal with Beet on IoT
Bob Davies, international operations manager of obsolete components supplier, EU Automation, discusses the role the smart supply chain plays in the factory of the future
In the animal kingdom many animals store food to see them through the difficult winter period, but in the case of the Gray Squirrel it has been shown that 74 per cent of their buried stores fail to be recovered.
In the age of accelerated industrial obsolescence, some manufacturers have taken a similar approach, stockpiling spare parts for their industrial automation systems in case of equipment failure later on. Using a more modern approach can streamline this process by maximising factory space and minimising waste.
Jonathan Wilkins, marketing director of EU Automation, looks at managing obsolete automation components in the factory of the future
In 10 years’ time robots will cease to be subservient/submissive, manufacturing won’t exist as we know it and we’ll be 3D printing our own clothes before we go out.
Do any of these sound like familiar predictions you’ve heard over the last five years? We thought so. With this in mind, we’ll tread lightly when talking about what the highly interconnected future has in store for industrial automation.
Survey of 200 executives indicates most manufacturers plan to increase investments in data analytics over next year – even while delaying other technology investments
A recent survey of manufacturing executives indicates many respondents (67 percent) are pressing ahead with plans to invest in data analytics even as they pare back spending in other areas to combat tough business conditions.
The reason: Many say they view data analytics – a key component of the Industrial Internet of Things (IIoT) – as a viable solution to a cycle of problems that lead to downtime and lost revenue.
The technology driving the most significant transformation of audits over the next three years is unquestionably Optical Character Recognition (OCR).
Too often the thought of automation has been relegated to the manufacturing plant floor or materials handling in a distribution center.
Yet as small businesses represent the largest segment of private lending (more than 90 per cent of the funds by third party lenders), the new form of automation, artificial intelligence and big data is fast-growing and significant.
There are now many viable options on the OCR market, including: PerfectAudit by Ocrolus, SodaPDF, Adobe Acrobat, ABBYY FineReader, and Readiris; pros and cons to each technology, yet only PerfectAudit is the only OCR application custom built for identifying aberrancies and trends during financial reviews, yet flexible enough to be utilized by anyone reviewing bank and credit card statements.
Martyn Williams, managing director of industrial automation software expert Copa-Data UK, discusses how machine builders can use predictive analytics to minimise the maintenance and downtime costs of their products
The cost of production downtime varies significantly from one industry sector to another, but without a doubt, when it occurs, downtime is a troublesome and expensive inconvenience for all manufacturers.
More often than not, halts in production could be avoided, so imagine just how much manufacturers could save if machine data was available to anticipate breakdowns.
Not very far into the future, business leaders will no longer be asking, “How can I achieve this objective with fewer human resources?”, instead they will be asking, “How can I achieve this objective with no human resources?”
That is the view of Paul Burton, senior vice president, analytics and research, Genpact.
In a very thorough and extended blog on the subject of business process outsourcing and related subjects, Burton claims there will be a “fundamental paradigm shift” in the way enterprises approach the objective of efficiency.
Burton writes: “We believe that disruption in our industry will result from a fundamental shift in the BPO paradigm. No longer will we (or our competitors) ask how we can operate a particular process more efficiently with fewer, and less expensive, human resources.
“Instead, our point of departure will be from a new paradigm, one in which the framing question is: how do we operate this particular process with no human resources? When you start with this proposition, everything about the way you approach the problem changes.”
The chief executive of GoDaddy, the largest domain registrar in the world, says his company wants to transfer global economic power from large businesses to small enterprises with the help of artificial intelligence and automation technologies.
In an article published on Medium.com, Blake Irving makes a distinction between what he describes as “strong” AI – as practised by Darpa, MIT, Berkeley, IBM, Google and others – and “applied” AI, or AAI, such as machine learning and predictive analytics.
Irving writes: “GoDaddy’s vision is to radically shift the global economy toward small business by empowering people to easily start, confidently grow and successfully run their own ventures.
“We didn’t come to that vision by chance, but rather by identifying the intersection of technological and global economic opportunities — and Applied AI is at the heart of both.”