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AI and IoT Applied to Supply Chains Are Driving Digital Twins 

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GE is working in Paris with Ansys to build a digital twin of a wind turbine in the North Sea, an example of how digital twins are being employed in the supply chain. (Credit: Getty Images) 

By AI Trends Staff 

The combination of IoT and machine learning growing at the same time is leading to a rise in the use of digital twins in the supply chain, as a digital replica that can be used for various purposes. The connection with the physical model and the corresponding virtual model is established by generating real time data using sensors.  

The Digital Twin Consortium, launched in August as a program of the Object Management Group, is working on defining a taxonomy and standards and enabling technology including AI and simulation. Engineers are being attracted to the work. Founding members include Ansys, Dell, GE, Lendlease, Microsoft and Northrop Grumman.   

Scott Lundstrom, analyst focused on the intersection of AI, IoT and Supply Chains

IoT and ML are the raw materials and the toolsthe insight is in the repository where we model processes and create context. While this might be a database or a data lake, the most interesting example of this for me is the digital twin,” wrote Scott Lundstrom, an analyst focused on the intersection of AI, IoT and Supply Chains, on his blog, Supply Chain Futures.  

The digital twin in the supply chain allows a comparison between current and historical data on performance, wherever a sensor is located. It could be a component such as a thermostat, an asset such as a truck or a machine, an employee such as a service technician, or a process, as in manufacturing. “Part of the capability of the digital twin is driven by this complexity of having models of models to describe complex assets, processes, and systems,” Lundstrom wrote.  

In the supply chain, the digital twin model can encompass items packed in containers, moving through the physical world to distributors and customers. The model could inherit data from the process that created the product at one end of the chain, and inform a customer model at the other end.  

Supply chains and manufacturing assets are just the beginning. As this technology becomes better understood, and deployments become easier, use will grow into increasing complex spaces. There is already development of digital twins in life sciences in support of systems biology modeling complex organs like the human heart,” Lundstrom wrote. (See “Virtual Twins: Their Roles in Healthcare, Drug Discovery and Pandemic Response,” in BioITWorld.) 

Ideally for the supply chain, characterized by many complex, multi-model use cases, the inclusive digital twin can have a view of the entire supply chain from the supplier’s supplier to the customer’s customer. An understanding of the status and history of assets and processes allows machine learning tools to be brought into the equation to execute simulations, optimizations, and predictive capabilities to the models, Lundstrom suggests.   

“To realize the benefits of this tremendous opportunity we need standards, agreed upon taxonomies, and commercial development tools and platforms for this market to flourish,” he stated. “The supplier community is reacting to this opportunity, and many practitioners from the PLM [product lifecycle management], IoT, and analytics/data science market are beginning to focus on resolving some of these foundational standards.”   

The large platform suppliers are moving forward with tools and platform as a service (PaaS) offerings to try to win share and develop “de facto” standards. Amazon Web Services (AWS), Google Cloud Platform (GCP), Predix Platform from GE, IBM and Microsoft are all building extensions to their existing IoT tools and platforms to add support for the creation of digital twins.   

Lundstrom pointed to Microsoft’s Azure Digital Twins as one of the more complete early offerings. Featured at the Microsoft Build 2020 event, held virtually in May, the preview release supports a new Digital Twin Definition Language (DTDL) based on an implementation of JSON-LD (JavaScript Object Notation for Linked Data). 

“By leveraging JSON-LD, a well-accepted and simple object framework, Microsoft is supporting an open standard from the beginning,” Lundstrom writes. “This is a key requirement as users begin to understand that digital twins require an open object-oriented approach to support the requirements for inheritance, and multiple instances in creating complex multitier models that are portable and support the use of widely available cloud platforms and AI frameworks.”  

Are Supply Chain Digital Twins Just Another Fad? 

Is the supply chain digital twin just another fad, asked a blog post on the site of River Logic, a supplier of prescriptive analytics technology for supply chain optimization using digital twins. In business since 2000 in Dallas, the company offers pre-built applications with knowledge of business planning and optimization.  

Simulation and modeling software allows organizations to create realistic and verifiable supply chain digital twins of their supply chains. Data mining techniques along with inputs from Internet of Things (IoT) sensors allow real-time data to be fed into models. The models can monitor and determine what’s happening in the real world and plan the appropriate corrective action. 

Gartner study on IoT implementation in July 2018 showed that 13% of companies working with IoT projects already had digital twins, while another 62% were working toward their implementation. “It seems that digital planning twins are more than just a fad,” the River Logic post stated. 

Engineers in the 1970s and ‘80s were using three-dimensional CAD models of complex engineering equipment to conduct virtual walkthroughs. As the CAD technology advanced, it became possible to represent physical stress, making it possible to conduct virtual stress testing. Today it is possible to construct “almost perfect” digital models of real equipment, such as aircraft, autonomous vehicles and drilling equipment, and by inputting real data, such as the static and dynamic loads experienced during aircraft takeoff, to measure performance.  

“In this way, it’s possible to simulate the real world and bridge the gap between our physical and digital environment,” River Logic states. Several company experiences with digital twins are highlighted on the River Logic website. 

Digital Twin of a Warehouse in Pacific-Asia Built by DHL Supply Chain 

DHL Supply Chain built its first digital twin of a warehouse in Pacific-Asia for Tetra Pak, a multinational food packaging and processing company based in Switzerland. The digital twin is supplied with real-time data on a consistent basis from a physical warehouse in Singapore, which DHL developed to be integrated into the supply chain, according to an account in Supply Chain magazine.  

Gillet Jerome, CEO, DHL Supply Chain Singapore, Malaysia, Philippines

“The joint implementation of such a digital solution to improve Tetra Pak’s warehousing and transport activities is an excellent example of the smart warehouses of the future,” stated Gillet Jerome, CEO, DHL Supply Chain Singapore, Malaysia, Philippines. “This enables agile, cost-effective and scalable supply chain operations.”  

At the warehouse, the DHL Control Tower tracks incoming and outgoing goods to ensure all goods are stored in the correct way within 30 minutes of receipt. Incoming trucks are outfitted with IoT technology. A smart storage solution developed by Tetra Pak tracks and simulates the physical condition and individual stock levels in real-time, allowing non-stop coordination of operations. .   

“We expect the partnership with DHL Supply Chain to further increase our productivity and maintain high standards in our supply chains,” commented Devraj Kumar, Director, Integrated Logistics, South Asia, East Asia & Oceania for Tetra Pak.  

Digital Twins in Paris Will Protect Wind Turbine from North Sea Gales  

GE engineers in Paris are partnering with Ansys, a global supplier of engineering simulation software, to build a digital twin of a wind turbine in the North Sea. One goal is to maximize output and minimize downtime by spotting problems before they lead to an unplanned outage. The predictive maintenance relies not only on physical sensors on the machines, but also virtual sensors put in places where physical sensors cannot be used, according to an account from GE News.  

The virtual sensor has the ability to guess with fair precision a value such as temperature of pressure, by using other data from sensors and smart algorithms based on historical data or models.  

For example, the GE engineers have developed a digital twin of the Haliade 150-6 wind turbine’s yaw motors, which enable the 6-megawatt turbine to rotate and position itself into the wind. Using virtual sensors, this digital twin simulates the temperature at various parts of the motors. 

Hervé Sabot, engineering director at GE’s Digital Foundry in Paris

The better you monitor the temperature, the better you know the impact of the way you are using it,” stated Hervé Sabot, engineering director at GE’s Digital Foundry in Paris. “The challenge here is to boost the capacity of our customer’s assets to avoid outages and have them perform as fast as possible.” 

Sabot and his team used the Ansys simulation tools to computer the motor’s internal temperature from a model. They accomplished this by tracking the electrical current feeding into the wind turbine motors.   

Using algorithms built on Predix, the GE software platform for the industrial internet, and a modeling approach developed by Ansys, the engineers can now estimate the motor temperature at any given moment. At the Foundry, they can also monitor how the motors perform under different strains over time. In the field, engineers are able to use an app with a dashboard connected to the twin, to monitor the motor’s temperature.  

“For the simulation, thanks to the digital twin we only need to know the current to understand the temperature and optimize the use of the motor,” Sabot stated.  

GE reports it has 1.2 million digital twins of jet engines, gas turbines and locomotives already working in the field.  

Read the source articles and accounts at  Supply Chain FuturesDigital Twin Consortium, the blog of River LogicSupply Chain magazine and from GE News. 

Source: https://www.aitrends.com/iot/ai-and-iot-applied-to-supply-chains-are-driving-digital-twins/

AI

Intuit Set to Acquire Mailchimp for $12B in Cash and Stock

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Intuit (Nasdaq: INTU), the international tech platform that develops TurboTax, QuickBooks, Mint, and Credit Karma, reveals that it will be acquiring Mailchimp, an established customer engagement and marketing service for SMEs.

The planned Mailchimp acquisition for around $12 billion in cash and stock aims to support Intuit’s goal of promoting prosperity across the globe. It also supports the firm’s vision to become an AI-enhanced expert platform.

With the Mailchimp acquisition, Intuit should be able to accelerate its efforts to become the center of small business growth; and to transform the existing small business mid-market.

Intuit and Mailchimp aim to work cooperatively to offer a comprehensive and innovative customer growth platform for SMBs, enabling them to get their business online, promote their company, effectively manage client relationships, take advantage of insights and analytics, get paid, access funding, pay workers, enhance cash flow, be organized and remain compliant, with qualified professionals at their fingertips.

Delivering on the commitment to serve as the single source of truth, small and mid-market firms  will have the ability to bring together their customer data from Mailchimp and QuickBooks’ purchase data in order to access key insights they require to expand business operations.

Sasan Goodarzi, CEO of Intuit, stated:

“We’re focused on powering prosperity around the world for consumers and small businesses. Together, Mailchimp and QuickBooks will help solve small and mid-market businesses’ biggest barriers to growth, getting and retaining customers,”

Goodarzi added:

“Expanding our platform to be at the center of small and mid-market business growth helps them overcome their most important financial challenges. Adding Mailchimp furthers our vision to provide an end-to-end customer growth platform to help our customers grow and run their businesses, putting the power of data in their hands to thrive.”

Mailchimp brings to Intuit tech at scale and international customer reach. Established in Atlanta, GA in 2001, Mailchimp started providing email marketing services and evolved into a key player in client engagement and marketing automation supported by an AI-enhanced tech stack.

The planned acquisition should offer global customer reach with 13 million total users, 2.4 million monthly active users, and 800,000 paid clients; with 50% of customers residing outside the US. It may also provide data and tech in the form of 70 billion contacts, and 250+ rich partner integrations.

Ben Chestnut, CEO and Co-founder of Mailchimp, remarked:

“Over the past two decades, we’ve vastly expanded and evolved Mailchimp’s platform to help millions of small businesses around the world start and grow. With Intuit, we’ve found a shared passion for empowering small businesses. By joining forces with Intuit, we’ll take our offerings to the next level, leveraging Intuit’s AI-driven expert platform to deliver even better products and services to small businesses. This is an exciting new chapter for Mailchimp, our 1,200+ dedicated employees, and customers.”

Intuit and Mailchimp have always worked consistently to address small and mid-market companies’ main challenges. For two-thirds or over 66% of small businesses, finding customers remains their primary obstacle and more than 25% report struggling to retain clients, but nearly three-quarters or 75% of small businesses are not leveraging a customer relationship management service.

Around 84% of small businesses are reportedly using pen and paper or spreadsheets to reconcile  inventory and about 50% of small companies fail within the first 5 years, mainly because of  cash flow issues. These problems lead to significant barriers for small and mid-market firms’ success that Intuit’s acquisition of Mailchimp will address.

Alex Chriss, EVP and GM of the Intuit Small Business and Self-Employed Group, noted:

“Together, Mailchimp and QuickBooks will become a powerful engine for small and mid-market business customers to get, engage and retain their customers, run their businesses, optimize cash flow and remain compliant. Today, QuickBooks helps more than 7 million small and mid-market businesses get paid fast, access capital, pay their employees and grow in an omni-channel world. Mailchimp’s addition will bring speed and velocity to these efforts, with the acceleration of mid-market expansion opportunities and global growth for both brands.”

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Source: https://www.crowdfundinsider.com/2021/09/180358-intuit-set-to-acquire-mailchimp-for-12b-in-cash-and-stock/

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Robots to the Rescue: How Robotics Save Lives During a Crisis

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The reality of artificial intelligence (AI) and robotics is something that is revolutionizing how we all work, and play.  But new technologies are starting to make a dynamic impact on saving lives too. For example, robotic technology in the healthcare industry has been crucial in saving lives by detecting diseases, aiding in surgeries, and patient rehabilitation. 

“Today, robotics is also starting to lead the way for first responders; essentially protecting and rescuing people in critical circumstances. ” 

Read further about how robots are coming to the rescue in life-threatening situations.

How First Responders Save Lives Using Robotics

Emergency responders, firefighters, and law enforcement officials often pay the ultimate price to keep communities safe and rescue people in dire situations. Nothing can replace these brave men and women who risk their lives every day. 

However, robotics are increasingly lending aid to first responders, making their jobs easier and increasing the success rate of rescues.  Here are a few examples of how robots are changing the way emergency responders save lives in times of crisis.

Law Enforcement and Bomb Threats: While the use of robotics in law enforcement might be a polarizing topic of debate, there’s no denying they can play a positive role in saving lives. For instance, robots are pivotal in the event of bomb threats and detection. 

These bomb-rescue bots are uniquely designed to detect incendiary and explosive devices and they can also disable, dispose or safely deploy life-threatening bombs.  In fact, a tactical robot helped capture the Boston Marathon bombing suspect, Dzhokhar Tsarnaev.

Search and Rescue:  Robots are increasingly paving the way to searching out victims in disaster situations.  For example, search and rescue robots were a critical advantage to searching for survivors through the rubble after the devastation of 911.  Roaming robots and micro-robots are able to enter areas inaccessible to first responders, such as collapsed buildings, hazardous building fires, confined spaces, or unbreathable conditions.

Water Rescues:  Any first responder will tell you that water rescue situations pose extreme challenges.  The risk of drowning or getting hypothermia in cold waters makes rescuing survivors at sea a harrowing proposition.  However, water rescue robots can be released into treacherous waters to save the day.  These resilient bots are impervious to dangerous water conditions. They are directed to survivors and serve as a buoy or flotation device, allowing survivors to grab hold and be transported to the safety of an emergency vessel or helicopter.  Thanks to these tough water rescue robots, the survival rate in water accidents is greatly increased.

Hazardous Environments:  Specialized robotic devices such as the Sarcos inspection bot can be sent into potentially hazardous environments. Powerful robots like these are responsible for saving lives because of their advanced hazmat applications. These life-saving machines detect radiation levels or other hazardous conditions and report back to the operator, informing them if conditions are safe to enter.  For example, inspection robots were used in cleanup efforts and measuring radioactivity after the Fukushima Daiichi nuclear disaster in 2011.  

Warfare:  Robots have been cited for saving lives in times of war by detecting bombs, maintaining safety zones, and clearing areas littered with potential hazards.  For example, in WWII, booby traps were put into play and triggered by a hidden sensor. This covert tactic ended the lives of many unsuspecting soldiers. Today, similar bomb traps are used by enemy factions, and military robots effectively sniff out these hidden threats.  Military robots utilized during wartime have significantly reduced the loss of a soldier and civilian lives.

Natural Disasters:  Some rescue robots are specially designed to manoeuvre in places impossible to reach by humans. They are also equipped with camera feeds that inform operators about conditions and potential survivors after a natural disaster.  For instance, emergency responders deployed robots after the catastrophic 7.1 magnitude earthquake that shattered the city of San Juan Raboso in central Mexico in 2017.  These rescue robots snaked their way through the debris to assess damages and they were also crucial in finding survivors in this disaster.

More Robot Rescues on the Horizon

These are just a few examples of how robots can save lives during a crisis – and it’s just the beginning.  As technology continues to improve, the world will see more advanced rescue robots on the scene and helping save lives when calamity strikes.  While the human element is incomparable when it comes to rescuing and saving lives, robots play a pivotal role in making the world a safer, better place in which to live.

Also, Read Impact of Robotics Technology on Health Care

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.aiiottalk.com/how-robotics-save-lives-during-crisis/

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AI

Robots to the Rescue: How Robotics Save Lives During a Crisis

Published

on

The reality of artificial intelligence (AI) and robotics is something that is revolutionizing how we all work, and play.  But new technologies are starting to make a dynamic impact on saving lives too. For example, robotic technology in the healthcare industry has been crucial in saving lives by detecting diseases, aiding in surgeries, and patient rehabilitation. 

“Today, robotics is also starting to lead the way for first responders; essentially protecting and rescuing people in critical circumstances. ” 

Read further about how robots are coming to the rescue in life-threatening situations.

How First Responders Save Lives Using Robotics

Emergency responders, firefighters, and law enforcement officials often pay the ultimate price to keep communities safe and rescue people in dire situations. Nothing can replace these brave men and women who risk their lives every day. 

However, robotics are increasingly lending aid to first responders, making their jobs easier and increasing the success rate of rescues.  Here are a few examples of how robots are changing the way emergency responders save lives in times of crisis.

Law Enforcement and Bomb Threats: While the use of robotics in law enforcement might be a polarizing topic of debate, there’s no denying they can play a positive role in saving lives. For instance, robots are pivotal in the event of bomb threats and detection. 

These bomb-rescue bots are uniquely designed to detect incendiary and explosive devices and they can also disable, dispose or safely deploy life-threatening bombs.  In fact, a tactical robot helped capture the Boston Marathon bombing suspect, Dzhokhar Tsarnaev.

Search and Rescue:  Robots are increasingly paving the way to searching out victims in disaster situations.  For example, search and rescue robots were a critical advantage to searching for survivors through the rubble after the devastation of 911.  Roaming robots and micro-robots are able to enter areas inaccessible to first responders, such as collapsed buildings, hazardous building fires, confined spaces, or unbreathable conditions.

Water Rescues:  Any first responder will tell you that water rescue situations pose extreme challenges.  The risk of drowning or getting hypothermia in cold waters makes rescuing survivors at sea a harrowing proposition.  However, water rescue robots can be released into treacherous waters to save the day.  These resilient bots are impervious to dangerous water conditions. They are directed to survivors and serve as a buoy or flotation device, allowing survivors to grab hold and be transported to the safety of an emergency vessel or helicopter.  Thanks to these tough water rescue robots, the survival rate in water accidents is greatly increased.

Hazardous Environments:  Specialized robotic devices such as the Sarcos inspection bot can be sent into potentially hazardous environments. Powerful robots like these are responsible for saving lives because of their advanced hazmat applications. These life-saving machines detect radiation levels or other hazardous conditions and report back to the operator, informing them if conditions are safe to enter.  For example, inspection robots were used in cleanup efforts and measuring radioactivity after the Fukushima Daiichi nuclear disaster in 2011.  

Warfare:  Robots have been cited for saving lives in times of war by detecting bombs, maintaining safety zones, and clearing areas littered with potential hazards.  For example, in WWII, booby traps were put into play and triggered by a hidden sensor. This covert tactic ended the lives of many unsuspecting soldiers. Today, similar bomb traps are used by enemy factions, and military robots effectively sniff out these hidden threats.  Military robots utilized during wartime have significantly reduced the loss of a soldier and civilian lives.

Natural Disasters:  Some rescue robots are specially designed to manoeuvre in places impossible to reach by humans. They are also equipped with camera feeds that inform operators about conditions and potential survivors after a natural disaster.  For instance, emergency responders deployed robots after the catastrophic 7.1 magnitude earthquake that shattered the city of San Juan Raboso in central Mexico in 2017.  These rescue robots snaked their way through the debris to assess damages and they were also crucial in finding survivors in this disaster.

More Robot Rescues on the Horizon

These are just a few examples of how robots can save lives during a crisis – and it’s just the beginning.  As technology continues to improve, the world will see more advanced rescue robots on the scene and helping save lives when calamity strikes.  While the human element is incomparable when it comes to rescuing and saving lives, robots play a pivotal role in making the world a safer, better place in which to live.

Also, Read Impact of Robotics Technology on Health Care

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.aiiottalk.com/how-robotics-save-lives-during-crisis/

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Artificial Intelligence

How Blockchain Improves Trust in AI

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Blockchain and artificial intelligence or AI are reshaping all aspects of our daily lives. Both technologies influence the way we work, travel, and spend our free time. And even though we may not always be aware of its impact, the pair is powering innovation across a broad range of industries.

That said, these are challenging technologies to adopt and implement. But that won’t do anything to prevent the merger between AI and blockchain, which is revolutionizing everything from finance and energy to healthcare and real estate. Moreover, the dual technologies are paving the way for new business models, especially when combined with another megatrend reshaping our world – IoT.

Businesses that employ AI-based technology are able to process massive amounts of data. AI acts like a human brain but is more sophisticated and faster. Today, AI is used in many businesses and serves different purposes. Some of the more prominent examples include chatbots or smart assistants (Siri and Alexa).

But there are some downsides. AI technologies are centralized, meaning that end-users are at the mercy of giant corporations like Amazon, Apple, and Google and need to trust the companies not to take advantage of their data.

Unlike AI, blockchain is a decentralized ledger that keeps records of data that can’t be changed manually. Blockchain technology doesn’t allow any kind of data manipulation, like editing or accessing data by multiple authorities. This is why blockchain is widely used in the field of cybersecurity, for online transactions, and many other industries focused on ensuring data privacy.

When combined with AI technologies, blockchain injects the desperately needed element of trust for end-users. AI has three important parts – data, model, and analytics. By decentralizing all three components with the support of blockchain, AI-based businesses are able to offer their customers more transparency and accuracy in terms of results.

AI-based businesses are capable of analyzing a large amount of both structured and unstructured data. This is one of the main reasons why many industries and companies of all sizes adopt AI technology. However, the accuracy of the decisions made based on the AI-implemented technologies requires scrutiny. Enter blockchain.

In short, blockchain implementation in AI technologies ensures transparency, enhances the decision-making process, improves accessibility, and advances smart contracts.

Other notable benefits to businesses that stem from the co-evolution of these technologies include the reduction of potential risks and ensuring that data can’t be edited and filtered virtually.

In the near future, the merger of AI and blockchain is expected to expand further, along with their implementation in different businesses together with IoT. According to expert predictions, these technologies will continue to act as a major contributor to ensuring the quality, accuracy, and privacy of data. 

Image Credit: https://wallpaperaccess.com/blockchain-technology

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
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Source: https://datafloq.com/read/how-blockchain-improves-trust-ai/17899

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