The Unforeseen Impact of AI on Process Manufacturing Industries

N/A | July 2, 2019 | 76 views

The adoption of AI in the process manufacturing industries is proceeding by leaps and bounds. By now, it’s well known that AI brings a huge contribution to the realm of process and production, but what’s less well known is that AI also influences a number of other touchpoints, adding value that is often overlooked. Here’s a brief review of the oft-hidden ways that AI improves process manufacturing companies.

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Multivision, Inc.

Multivision Inc. is one of the fastest growing information technology (IT) solutions provider and a recognized authority in innovative workforce development training. With our strong track record of successfully executing IT projects and IT consulting, we guarantee efficiency, simplification and transformation of your business. Multivision will help you increase your productivity and ROI, improve your business processes and expertise, and enhance your customer experience. All of this, we provide at a reasonable cost to your company.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | August 2, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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AI TECH

The Evolution of Quantum Computing and What its Future Beholds

Article | July 20, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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SOFTWARE

Language Models: Emerging Types and Why They Matter

Article | July 14, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

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Spotlight

Multivision, Inc.

Multivision Inc. is one of the fastest growing information technology (IT) solutions provider and a recognized authority in innovative workforce development training. With our strong track record of successfully executing IT projects and IT consulting, we guarantee efficiency, simplification and transformation of your business. Multivision will help you increase your productivity and ROI, improve your business processes and expertise, and enhance your customer experience. All of this, we provide at a reasonable cost to your company.

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Eidosmedia partners with Sophi.io on AI-powered print automation

Eidosmedia | September 29, 2022

Eidosmedia, a developer of digital publishing solutions for leading news-media groups worldwide, has partnered with Sophi.io, an AI-powered automation, optimization and prediction platform developed by The Globe and Mail, to bring seamless print laydown automation to Eidosmedia customers. The solution brings the entire print page layout process down from hours to just minutes, without the use of templates. Publishers can dramatically improve productivity and cut costs, all within the Méthode platform they currently use. “The complexity of print page layouts has until now defied the easy automation that speeds the publishing of online formats. “For our customers, especially large regional groups and national titles, print editions continue to be a major source of revenue. There’s intense interest in ways to cut production times and costs in this important publishing channel.” Marco Cetola, Eidosmedia Sales and Partner Program Director “The fit between our print edition building routines and Sophi’s AI engine turned out to be very good,” said Marco. “We were quickly able to start training the pagination model on existing layouts, and we had the first results in a matter of days”. “The productivity boost obtained is exceptional,” said Marco, “especially for daily publications where the page-design operation is usually running against the clock.” In fact, a typical 32-page print edition can be paginated in minutes compared to several hours for a manual operation. Sophi-powered print automation is different than other print production solutions in that it is completely template-free. It uses smart AI to ensure that a publisher’s printed pages look and feel as though they were produced by experienced editors and page designers. Each page is designed from scratch following each individual brand’s design vocabulary. The final output is a print-ready PDF or InDesign file that’s ready in minutes. Among those who stand to benefit from the new technology are page designers themselves. Page designers have been under pressure for some time to increase their productivity as publishers try to cut costs. With fewer hands to lay out growing numbers of pages, the designer’s job has in many cases become a stressful race against time. The automation engine will take routine tasks off their hands so they can devote more time to the front pages, features and special layouts where their creativity can really add value. “Page automation is the greatest innovation in the publishing industry since the personal computer replaced typewriters,” said Marco. Gabe Gonda, VP at Sophi.io, commented: “Sophi is delighted to be entering a partnership with Eidosmedia to deliver our print automation technology through the Méthode platform. Eidosmedia is a first-class CMS vendor with deep knowledge of its clients’ evolving needs. This partnership will help deliver a unique and high-value solution to some of the best newspaper publishers in the world.” About Eidosmedia Eidosmedia is a global leader in content management and digital publishing. Eidosmedia solutions are used by news-media organizations throughout the world to create and deliver portfolios of news products ranging from advanced digital formats to traditional newspapers and magazines. About Sophi Inc. Sophi.io was developed by The Globe and Mail to help content publishers make important strategic and tactical decisions. It is a suite of AI and ML-powered automation, optimization and prediction solutions that include Sophi Site Automation, Sophi for Paywalls and Sophi for First Party Data. Sophi also powers one-click automated laydown of template-free print publishing. Sophi is designed to improve the metrics that matter most to your business.

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AI TECH,GENERAL AI

DataRobot Announces Launch of Dedicated Managed AI Cloud

DataRobot | September 29, 2022

Today, DataRobot announced the public availability of DataRobot Dedicated Managed AI Cloud, a dedicated hosted version of AI Cloud managed by DataRobot experts. Dedicated Managed AI Cloud provides the latest DataRobot capabilities to support critical AI and machine learning projects with the advantage of public cloud services, reducing cost and time-to-value in deploying, upgrading and managing the AI infrastructure. Today’s organizations rely on enterprise AI/ML platforms to deliver critical business initiatives. Organizations may prefer to outsource software platform deployment, configuration as well as ongoing management and maintenance to accommodate staffing constraints. “According to a recent Omdia study of more than 400 global AI practitioners, the AI marketplace has reached a critical point of acceleration with more than 25% of companies now looking to scale AI across multiple business units. This represents a dramatic rise from earlier research favoring departmental deployments. “It also foreshadows a substantial uptick in management costs, maintenance complexities, and exposure to risk for many companies electing to continue managing their own infrastructure.” Bradley Shimmin, Chief Analyst for AI platforms, analytics, and data management, Omdia DataRobot Dedicated Managed AI Cloud builds on a decade of experience driving business-critical AI/ML projects for hundreds of customers across on-premises, virtual private cloud, public cloud, and in DataRobot multi-tenant SaaS deployments. This new offering extends the full functionality of the AI Cloud to provide a dedicated managed instance of the DataRobot platform running for each customer in the cloud. The newly announced offering saves time and resources by freeing team members from managing or maintaining platform updates, while providing the security, isolation and data residency requirements for each customer. Dedicated Managed AI Cloud is deployed for each customer in a dedicated and separate VPC and operated, monitored, and maintained by DataRobot experts. “We’re excited for business leaders to realize the value of DataRobot with this managed offering, which brings together two distinct and significant advantages,” says Venky Veeraraghavan, SVP, Product, DataRobot. “Customers can focus on driving business results with DataRobot managing the operational elements, while still maintaining their specific security requirements and taking advantage of the cloud's evergreen deployment and new features.” About DataRobot DataRobot AI Cloud is the next generation of AI. DataRobot’s AI Cloud vision is to bring together all data types, all users, and all environments to deliver critical business insights for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50.

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AI TECH,SOFTWARE,FUTURE TECH

Amelia Leads Again in Everest Group's Assessment of Conversational AI Vendors

Amelia | September 27, 2022

Amelia, the leading Enterprise Conversational AI software company, today announced that Amelia has been recognized as a Leader in Conversational AI in Everest Group's recent report, Conversational AI – Technology Vendor Landscape with Products PEAK Matrix® Assessment 2022. This marks the second consecutive year that Amelia has been recognized by Everest Group for its leadership in the Conversational AI market. For this PEAK Matrix® assessment, Everest Group evaluated the Vision & Capability and Market Impact of 26 global Conversational AI technology vendors, and then classified each company into one of three categories: Leaders, Major Contenders and Aspirants. Of the 26 vendors assessed, Amelia is named the Leader and placed in the highest overall position in Everest Group's PEAK Matrix®. In the report, Amelia is the only vendor to be listed amongst the top technology vendors for all major business functions, and leads in all major industries – including banking, telecom, healthcare and insurance. Everest Group also highlights Amelia's considerable experience working with global clients from across all industries as a notable strength. Amelia's omnichannel capabilities, sentiment analysis, agent-assist and built-in Orchestration Services are also all recognized as key advantages of the company's Conversational AI platform. "Buyers have also highlighted the cognitive capabilities of the platform, its partnership ecosystem, and the Amelia team's transparency as strength areas of the vendor," the report states. "There is no denying the critical role that Conversational AI continues to play for successful businesses, as evidenced by the exponential increase in adoption that we're observing across industries. As pioneers of this competitive landscape, one which we have pursued for more than two decades, we are honored and proud that for two years running, Everest Group has recognized Amelia as the clear Leader in Conversational AI." Chetan Dube, CEO of Amelia About Amelia Amelia is a leading Enterprise Conversational AI software company with a long history of innovation in automation and Conversational AI. We create fulfilling human experiences through groundbreaking AI solutions, as we enable conversational experiences, streamline IT operations, and automate processes. In 2014, we launched Amelia, the Most Human AI™; then in 2018, we introduced true end-to-end, enterprise-wide automation allowing enterprises to quickly optimize back-end operations. Amelia is consistently recognized by third-party analyst firms as a market leader. Headquartered in New York City with offices in 15 countries, Amelia's roster of client success stories speaks for itself: Our technology impacts more than 200 of the world's leading brands, including global leaders in banking, insurance, telecommunications, and other industries. See how Amelia is powering the Future of Work at amelia.ai.

Read More

AI TECH,GENERAL AI

Eidosmedia partners with Sophi.io on AI-powered print automation

Eidosmedia | September 29, 2022

Eidosmedia, a developer of digital publishing solutions for leading news-media groups worldwide, has partnered with Sophi.io, an AI-powered automation, optimization and prediction platform developed by The Globe and Mail, to bring seamless print laydown automation to Eidosmedia customers. The solution brings the entire print page layout process down from hours to just minutes, without the use of templates. Publishers can dramatically improve productivity and cut costs, all within the Méthode platform they currently use. “The complexity of print page layouts has until now defied the easy automation that speeds the publishing of online formats. “For our customers, especially large regional groups and national titles, print editions continue to be a major source of revenue. There’s intense interest in ways to cut production times and costs in this important publishing channel.” Marco Cetola, Eidosmedia Sales and Partner Program Director “The fit between our print edition building routines and Sophi’s AI engine turned out to be very good,” said Marco. “We were quickly able to start training the pagination model on existing layouts, and we had the first results in a matter of days”. “The productivity boost obtained is exceptional,” said Marco, “especially for daily publications where the page-design operation is usually running against the clock.” In fact, a typical 32-page print edition can be paginated in minutes compared to several hours for a manual operation. Sophi-powered print automation is different than other print production solutions in that it is completely template-free. It uses smart AI to ensure that a publisher’s printed pages look and feel as though they were produced by experienced editors and page designers. Each page is designed from scratch following each individual brand’s design vocabulary. The final output is a print-ready PDF or InDesign file that’s ready in minutes. Among those who stand to benefit from the new technology are page designers themselves. Page designers have been under pressure for some time to increase their productivity as publishers try to cut costs. With fewer hands to lay out growing numbers of pages, the designer’s job has in many cases become a stressful race against time. The automation engine will take routine tasks off their hands so they can devote more time to the front pages, features and special layouts where their creativity can really add value. “Page automation is the greatest innovation in the publishing industry since the personal computer replaced typewriters,” said Marco. Gabe Gonda, VP at Sophi.io, commented: “Sophi is delighted to be entering a partnership with Eidosmedia to deliver our print automation technology through the Méthode platform. Eidosmedia is a first-class CMS vendor with deep knowledge of its clients’ evolving needs. This partnership will help deliver a unique and high-value solution to some of the best newspaper publishers in the world.” About Eidosmedia Eidosmedia is a global leader in content management and digital publishing. Eidosmedia solutions are used by news-media organizations throughout the world to create and deliver portfolios of news products ranging from advanced digital formats to traditional newspapers and magazines. About Sophi Inc. Sophi.io was developed by The Globe and Mail to help content publishers make important strategic and tactical decisions. It is a suite of AI and ML-powered automation, optimization and prediction solutions that include Sophi Site Automation, Sophi for Paywalls and Sophi for First Party Data. Sophi also powers one-click automated laydown of template-free print publishing. Sophi is designed to improve the metrics that matter most to your business.

Read More

AI TECH,GENERAL AI

DataRobot Announces Launch of Dedicated Managed AI Cloud

DataRobot | September 29, 2022

Today, DataRobot announced the public availability of DataRobot Dedicated Managed AI Cloud, a dedicated hosted version of AI Cloud managed by DataRobot experts. Dedicated Managed AI Cloud provides the latest DataRobot capabilities to support critical AI and machine learning projects with the advantage of public cloud services, reducing cost and time-to-value in deploying, upgrading and managing the AI infrastructure. Today’s organizations rely on enterprise AI/ML platforms to deliver critical business initiatives. Organizations may prefer to outsource software platform deployment, configuration as well as ongoing management and maintenance to accommodate staffing constraints. “According to a recent Omdia study of more than 400 global AI practitioners, the AI marketplace has reached a critical point of acceleration with more than 25% of companies now looking to scale AI across multiple business units. This represents a dramatic rise from earlier research favoring departmental deployments. “It also foreshadows a substantial uptick in management costs, maintenance complexities, and exposure to risk for many companies electing to continue managing their own infrastructure.” Bradley Shimmin, Chief Analyst for AI platforms, analytics, and data management, Omdia DataRobot Dedicated Managed AI Cloud builds on a decade of experience driving business-critical AI/ML projects for hundreds of customers across on-premises, virtual private cloud, public cloud, and in DataRobot multi-tenant SaaS deployments. This new offering extends the full functionality of the AI Cloud to provide a dedicated managed instance of the DataRobot platform running for each customer in the cloud. The newly announced offering saves time and resources by freeing team members from managing or maintaining platform updates, while providing the security, isolation and data residency requirements for each customer. Dedicated Managed AI Cloud is deployed for each customer in a dedicated and separate VPC and operated, monitored, and maintained by DataRobot experts. “We’re excited for business leaders to realize the value of DataRobot with this managed offering, which brings together two distinct and significant advantages,” says Venky Veeraraghavan, SVP, Product, DataRobot. “Customers can focus on driving business results with DataRobot managing the operational elements, while still maintaining their specific security requirements and taking advantage of the cloud's evergreen deployment and new features.” About DataRobot DataRobot AI Cloud is the next generation of AI. DataRobot’s AI Cloud vision is to bring together all data types, all users, and all environments to deliver critical business insights for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50.

Read More

AI TECH,SOFTWARE,FUTURE TECH

Amelia Leads Again in Everest Group's Assessment of Conversational AI Vendors

Amelia | September 27, 2022

Amelia, the leading Enterprise Conversational AI software company, today announced that Amelia has been recognized as a Leader in Conversational AI in Everest Group's recent report, Conversational AI – Technology Vendor Landscape with Products PEAK Matrix® Assessment 2022. This marks the second consecutive year that Amelia has been recognized by Everest Group for its leadership in the Conversational AI market. For this PEAK Matrix® assessment, Everest Group evaluated the Vision & Capability and Market Impact of 26 global Conversational AI technology vendors, and then classified each company into one of three categories: Leaders, Major Contenders and Aspirants. Of the 26 vendors assessed, Amelia is named the Leader and placed in the highest overall position in Everest Group's PEAK Matrix®. In the report, Amelia is the only vendor to be listed amongst the top technology vendors for all major business functions, and leads in all major industries – including banking, telecom, healthcare and insurance. Everest Group also highlights Amelia's considerable experience working with global clients from across all industries as a notable strength. Amelia's omnichannel capabilities, sentiment analysis, agent-assist and built-in Orchestration Services are also all recognized as key advantages of the company's Conversational AI platform. "Buyers have also highlighted the cognitive capabilities of the platform, its partnership ecosystem, and the Amelia team's transparency as strength areas of the vendor," the report states. "There is no denying the critical role that Conversational AI continues to play for successful businesses, as evidenced by the exponential increase in adoption that we're observing across industries. As pioneers of this competitive landscape, one which we have pursued for more than two decades, we are honored and proud that for two years running, Everest Group has recognized Amelia as the clear Leader in Conversational AI." Chetan Dube, CEO of Amelia About Amelia Amelia is a leading Enterprise Conversational AI software company with a long history of innovation in automation and Conversational AI. We create fulfilling human experiences through groundbreaking AI solutions, as we enable conversational experiences, streamline IT operations, and automate processes. In 2014, we launched Amelia, the Most Human AI™; then in 2018, we introduced true end-to-end, enterprise-wide automation allowing enterprises to quickly optimize back-end operations. Amelia is consistently recognized by third-party analyst firms as a market leader. Headquartered in New York City with offices in 15 countries, Amelia's roster of client success stories speaks for itself: Our technology impacts more than 200 of the world's leading brands, including global leaders in banking, insurance, telecommunications, and other industries. See how Amelia is powering the Future of Work at amelia.ai.

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