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5 Reasons To Leverage AI in Metal Fabrication

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Emily Newton is the Editor-in-Chief of Revolutionized, an online magazine showing how technology is disrupting many industries.

There’s growing interest in using artificial intelligence (AI) in manufacturing to achieve numerous benefits ranging from better worker productivity to less machine downtime. Here are five specific advantages that AI can bring to metal fabrication. They’ll show you what’s possible.

1. Reduce Waste

Laser cutting is a popular and reliable metal fabrication technique. Implementing manufacturing automation while using it could lead to even better outcomes. Many laser cutters on the market work with metals and numerous other materials. They typically include cameras as identification measures. It’s essential that the laser cutter correctly recognize the material. A mistake could create messes or even release hazardous chemicals. In this scenario, having a safety kit including things like gloves manufactured by a company that evaluates what users really need and provides products to meet these needs, and preparing different kits for different hazards, becomes really important.

AI and computer science professionals at MIT recently developed the SensiCut system. It identifies 30 materials with deep learning and an optical method that examines a material’s microstructure with a laser. It can also suggest cutting adjustments or handle surfaces containing multiple materials.

Mustafa Doga Dogan, a doctoral candidate working on the project, said, “By augmenting standard laser cutters with lensless image sensors, we can easily identify visually similar materials commonly found in workshops and reduce overall waste.”

People interested in applying AI to get this benefit should first take the time to see which practices or materials typically cause the most waste. That information can guide the next steps concerning how and when to use AI to cut down on waste.

2. Decrease Equipment Downtime

Unexpected equipment failures can become costly problems for metal fabricators and other industrial factories. That’s a primary reason why more companies use AI in manufacturing with the goal of cutting down those outages.

If leaders get notifications of impending equipment failures soon enough, they can adjust workflows, order parts or take other proactive steps to stop equipment problems from causing shutdowns. Moving ahead with AI-based maintenance gets factories closer to the zero-downtime goal. It can also aid decision-makers in choosing when to replace aging machines and see the best return on investment.

A company’s budget may limit its ability to invest in AI for the improved maintenance of all equipment. In such cases, the ideal approach is to determine which machines fail most often or are out of service for the longest periods. That information gives a good starting point when selecting where AI would get the best results when minimizing maintenance.

3. Meet Rising Customer Demands

AI is also useful for helping metal fabricators deal with increasingly high workloads. For example, aluminum is a diverse material used in everything from disposable food trays to fitness equipment. It’s in continually high demand, but certain societal trends can make people want it even more.

During the COVID-19 pandemic, many people bought recreational vehicles to travel and stay away from home safely. Aluminum and other metals are key components in RVs.

Some metal fabricators publicly disclose their annual production capabilities. For example, one aluminum company offering billet casting and specialty alloy manufacturing can make more than 200 pounds every year at two of its facilities.

It’s worthwhile for factory leaders to see which factors severely limit production ramp-up efforts. From there, they can further explore how AI and manufacturing automation could reduce those obstacles.

4. Explore Complementing Technologies

Committing to using AI in manufacturing may encourage metal fabricators to investigate other advanced technologies that could cause a wider future-oriented transformation. For example, 3D printing with metals can create prototypes more quickly or make on-demand products for customers.

Company leaders interested in using AI in manufacturing may even find existing options for combining it with 3D printing. Massachusetts company Markforged has a cloud-based platform for additive manufacturing that uses AI to function. Incorporating machine learning into the product reportedly makes it smarter with every new part produced. The cloud-based model also means that a 3D printer automatically receives software updates.

If metal fabricators are interested in pursuing AI, additive manufacturing or both of those but lack in-house resources, they should think about working with a service provider. Doing that could mean getting access to purpose-built technologies and well-known companies rather than hiring people with the expertise to create the tools from scratch.

5. Achieve Better Quality Control

Manufacturing automation can also bring significant  gains to quality improvement efforts. In one recent example, John Deere partnered with Intel to use AI to spot defective welds on its tractors and other industrial equipment.

Finding defecting welds is a challenging task, especially due to the fast-paced nature of most industrial assembly lines. However, this AI application uses advanced algorithms to detect problematic welds and stop a robotic welder after finding them.

More specifically, a neural network-based inference engine can spot issues in real-time and make the necessary adjustments before continuing. Plus, the computer-vision camera used for this application is just 12-14 inches away from the welded material.

When people want to get quality improvements with AI, choosing metrics to track before moving ahead with any new product is a good idea. Then, it’ll be easier to determine if the expected gains happen to the expected extent.

Using AI in Manufacturing Can Help Metal Fabricators Succeed

These potential use cases should help people feel excited about the potential of using AI and other manufacturing automation options to enhance operations. Before finalizing any decisions, the affected parties should remember that the advantages may not be immediately apparent. Still, they typically become obvious if leaders allow enough time to investigate how to best use the technology.

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Vechain and SingularityNet Combine Blockchain + AI To Drive Sustainability and Build Advanced Enterprise-Grade Tools

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Vechain and SingularityNET, industry leaders in blockchain and artificial intelligence (AI) respectively, have announced their strategic collaboration. This partnering of technical giants unites powerful emerging technologies with the potential to radically change how the global economy operates, offering powerful enterprise-grade tools to tackle challenges in the field of sustainability and traditional businesses.

In particular, the alliance holds great promise for vechain’s ambitions with Boston Consulting Group, partners, collaborating on building ‘ecosystems’ wherein individuals and businesses are incentivised to act sustainably. SingularityNet’s AI capabilities offer immense potential to enhance and improve these ecosystems, utilising AI technology to pore over data, and improve their efficacy.

Vechain and SingularityNET intend to launch joint research initiatives to fortify the efficacy of each respective platform and ingrain the pair at the heart of future digital development. The combination of these technologies can equip businesses with intelligent tools, signalling the onset of a new phase in the era of digitisation.

Dr. Ben Goertzel, the visionary CEO of SingularityNET, expressed his excitement for the massive potential of this partnership:

“The last few years have taught the world that when the right AI algorithms meet the right data on sufficient processing power, magic can happen.

What’s even better is when the algorithms, data and processing are decentralized in deployment, ownership and control — which is exactly the sort of magic that’s going to happen putting the SingularityNET ecosystem’s AI algorithms together with vechain’s deep and diverse enterprise data, on the joint, secure distributed processing power of the two networks.

This combined power will be applicable to sustainability as one of our initial focus areas, but in the end extends across essentially all vertical markets. It’s hard to overestimate the potential here.”

Vechain’s CTO Antonio Senatore commented:

“We’re excited to be collaborating with leading Web3 AI platform, SingularityNET, combining our rich streams of enterprise data with SingularityNET’s powerful and versatile platform.”

“Blockchain and AI offer game-changing capabilities for industries and enterprises and are opening new avenues of operation. We look forward to working closely with the SingularityNET team to build out new services and continue to advance the fore of possibility in web3 and sustainability.”

Vechain and SingularityNET are enabling a new, more interconnected and automated world, driving new capabilities in the fields of industry and in particular, for action around sustainability.

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Deepdub and OOONA Announce Strategic Partnership to Expand AI-Based Dubbing Solutions to Global Entertainment and Media Clients

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Deepdub, the leading AI-based audiovisual dubbing and language localization company, today announced a partnership with OOONA, a major media localization software provider. This collaboration will bring Deepdub’s advanced dubbing solutions to OOONA’s extensive entertainment and media clients worldwide.

Through this partnership, OOONA will implement a process for connecting their clients to Deepdub’s services. This will enable media companies and content creators worldwide to instantly access Deepdub’s innovative dubbing solutions. Companies will be able to submit their content localization needs with ease via OOONA’s platform and receive tailored proposals from Deepdub that leverage the power of AI emotion-prompting technology. Going forward, clients stand to benefit from more efficient workflows and access to groundbreaking dubbing capabilities unlocking flexibility and scale.

“OOONA’s unmatched expertise in media localization, honed from providing pioneering management and production tools to the biggest names in the sector, makes them an ideal partner,” said Ofir Krakowski, CEO and co-founder of Deepdub. “This collaboration gives us the opportunity to introduce our advanced AI dubbing technology to new clients across the entertainment industry and beyond.”

OOONA is trusted by leading media localizers, broadcasters and a vast user base spanning over 170 countries. “We continue to stay true to our mission of being the core platform that integrates anything our clients need, including any opportunities AI-based solutions bring for localizing audiovisual assets,” said Wayne Garb, CEO and co-founder of OOONA. “We are thrilled to collaborate with Deepdub and further strengthen the services we provide to our customers globally.”

About Deepdub

Deepdub aims to bridge the language barrier and cultural gap of entertainment experiences for international audiences across TV, Film, Advertising, Gaming and e-learning. We provide a high-quality localization service for entertainment content using deep learning and AI algorithms. Deepdub plugs into the post-production process of content owners and provides an end-to-end solution for all of their localization needs. Deepdub’s team consists of technology entrepreneurs, engineers, and scientists, as well as dubbing and post-production specialists with extensive industry experience. The advisory board features prominent media executives such as Kevin Reilly, who held the position of Chief Content Officer at HBO Max and president of TNT, TBS, and truTV, and Emiliano Calemzuk, the former President of Fox Television Studios.

For more information about Deepdub, visit https://deepdub.ai 

About OOONA

OOONA.Net Ltd (www.ooona.net) is a globally recognized provider of professional management and production tools for the media localization industry. Renowned for its state-of-the-art software catering to subtitling, voiceover, dubbing and captioning needs, OOONA’s modular, pay-as-you-go pricing model empowers users to tailor solutions to their unique requirements. Trusted by leading media localizers, broadcasters and a vast user base spanning over 170 countries, OOONA continues to trailblaze advancements in the field of media localization.

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RedCloud is using Generative AI to unlock the future of B2B Commerce in Emerging Markets

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RedCloud is using Generative AI to unlock the future of B2B Commerce in Emerging Markets
  • Almost half of the growth in the FMCG industry over the next 3 years will take place in Emerging Markets outside of China
  • AI-powered Open commerce will be the key to FMCG’s winning in these markets
  • 90% + of B2B trade is still conducted offline, current ecommerce solutions will only go so far in bringing this trade online
  • RedCloud’s intelligent open commerce platform, which currently has over 300,000 users, empowers FMCG brands to dynamically transform trading relationships with their distribution channels and millions of micro retailers
  • With some of the largest product ranges in the world, the need for AI-powered search, order and trade is critical to cost, convenience and choice for the FMCGs in food, beverage, and essential consumer supplies.

Almost half of the growth in the FMCG industry over the next 3 years will take place in Emerging Markets outside of China. It’s a $1 trillion dollar opportunity for brands that can successfully navigate these markets. RedCloud Technologies, the company behind the world’s first open commerce platform, are bringing the latest in generative AI technology to help businesses further seize this sizable opportunity.

RedCloud has made a number of new AI expert hires and has formed several partnerships with cutting-edge AI companies. They now have number of updates to their intelligent open commerce platform in progress which include:

  • Powering their search and order functionality with large language models to reduce friction
  • Creating a new level of AI driven microtargeting for in-app campaigns and promotions
  • Utilising machine learning to create highly advanced predictive analytics
  • Augmenting their data processing operations with AI powered optimisation tools

For most businesses in the FMCG market, the ability to buy and sell efficiently is key. But in EMDEs – the areas that also have the greatest growth potential – barriers remain. RedCloud’s current platform has already created a fairer, more profitable trading system, bringing over 300,000 local merchants online for the first time, allowing them to trade instantly with their distributors and FMCGs. Their latest updates will go one step further, by fusing their search functionality with LLM’s, they will reduce the time spent ordering by over 80%. This frees up time local retailers could be using to trade in the digital economy.

It’s not just local retailers who will benefit though from the upcoming updates to the RedCloud platform. FMCG brands and distributors are also set to reap the benefits of RedCloud’s commitment to generative AI. Price volatility means businesses are often hard-pressed to keep up with the macroeconomic changes affecting their markets. RedCloud is therefore undertaking several updates to its existing dynamic pricing tools.

Their real-time data insights powered by machine learning creates automated pricing recommendations that could increase a company’s revenue by around 15%. They are also developing AI into their insights tool to allow for the creation of highly accurate predictive analytics. This will enable companies to further improve their forecasting with confidence, remaining ahead of macroeconomic curves and market trends.

RedCloud is also using generative AI to help companies reduce their advertising costs. FMCG brands can spend anything between 5%-15% of their operating budget on advertising, however on traditional channels, 90% goes unseen and conversion rates are continuing to reduce. RedCloud is supercharging its search and promotions tool  with machine learning to further improve its targeting capabilities, allowing for micro-segmentation of audiences and campaigns. This will allow companies to create more efficient and effective digital advertising campaigns, allocating spend only where it’s truly valuable.

Justin Floyd, founder and CEO of RedCloud, comments: ‘The future of B2B commerce is open and  conversational. This overcomes the lack of trust in traditional and big tech e-commerce platforms, enabling users to place orders in a familiar way and build sustainable relationships with sellers – regardless of whether there’s a human on the other end or not. ‘

RedCloud’s AI lead Daniel Chada, adds: ‘Generative AI, which includes technologies like Generative Adversarial Networks (GANs) and language models like ChatGPT, can play a significant role in addressing the challenges of digitising B2B commerce. Managing user experience, data integration, security, privacy, and regulatory compliance, it provides a simple yet sophisticated solution to the most pressing problems faced in the FMCG space. And one that can be easily adopted in emerging markets.’

About RedCloud

RedCloud is a global technology company, headquartered in London committed to bringing commerce everywhere, especially in emerging markets, by digitally connecting FMCG brands, distributors, and merchants, enabling them to search smarter, sell better, and trade simpler.

With its proprietary Open Commerce platform, RedCloud is poised to drive economic growth in the FMCG industry by providing new levels of visibility and facilitating strategic decision-making based on real-time data analysis syndicated across the distribution chain.

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