AI Transformation Playbook

AI (Artificial Intelligence) technology is now poised to transform every industry, just as electricity did 100 years ago. Between now and 2030, it will create an estimated $13 trillion of GDP growth. While it has already created tremendous value in leading technology companies such as Google, Baidu, Microsoft and Facebook, much of the additional waves of value creation will go beyond the software sector.

This AI Transformation Playbook draws on insights gleaned from leading the Google Brain team and the Baidu AI Group, which played leading roles in transforming both Google and Baidu into great AI companies. It is possible for any enterprise to follow this Playbook and become a strong AI company, though these recommendations are tailored primarily for larger enterprises with a market cap/valuation from $500M to $500B.

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Redefining Quality Control with AI-powered Visual Inspection for Manufacturing

Emerging technology — from the introduction of assembly lines to the Internet of Things — has always defined manufacturing.

With the creation of computers and early automation came traditional machine vision, in which machines analyze photos of parts and components for defects based on a set of human-defined rules. While it reduces human error, traditional machine vision lacks the capacity to solve for pain points like complex defects and changing environments.

Today, more sophisticated artificial intelligence (AI), including machine learning (ML) and deep learning (DL), allows manufacturers to use AI-powered visual inspection to enhance quality and reduce costs. But even now, only 5% of manufacturing companies have a clearly defined strategy for implementing AI.

Companies need strategies to overcome challenges in visual inspection, which still relies heavily on human inspectors or inflexible rules-based machine vision. The cost of sending defective pieces to customers — both in reputation and in recalls — isn’t sustainable in a competitive global environment.

The right AI platforms offer tools that can enhance quality control and cut costs — after users tackle key obstacles.

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Accelerate AI Adoption

Landing AI’s industrial AI platform consists of a suite of interconnected tools that enables you to build, deploy, manage and scale AI solutions for visual inspection in an end-to-end workflow.

Designed from the bottom up to enable manufacturers to take projects from concepts to scalable solutions with speed, LandingLens minimizes customization and scaling challenges. While AI models are unique, leveraging universal tools can expedite complex projects. Built for evolving data, LandingLens is comprised of a suite of tools to automate machine learning for industrial vision.

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2020 Global AI-Powered Vision Inspection Enabling Technology Leadership Award

As the AI tide takes over all industries, Landing AI’s most innovative, effective, and easy-to-use AI-powered vision inspection platform enables manufacturers to achieve high-quality output. Landing AI offers immense value to its customers through its robust and adaptive AI algorithms, which is constantly improved by some of the best technical minds in the industry and seamlessly updated at the customer site through the cloud. The visionary leadership of Dr. Andrew Ng, the highly driven techno-commercial team, strong vision inspection domain knowledge, and resilience toward ensuring customer success well position Landing AI to remain a market leader in this space.

With its strong overall performance, Landing AI has earned Frost & Sullivan’s 2020 Enabling Technology Leadership Award in the global AI-powered vision inspection industry.

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2020 State of AI-Based Machine Vision

Of the many use cases in manufacturing, visual inspection—a task that involves using human eye or machine vision to verify if a product is free of defects or if parts are correctly assembled—is well-suited for AI. According to a study by McKinsey & Company, AI-powered quality inspection can increase productivity by up to 50% and defect detection rates by up to 90% compared to manual inspection.

Given these benefits, have businesses started using AI in visual inspections? If so, what is the level of adoption, and what are the challenges? These questions and more drove Landing AI, an industrial AI company, and the Association for Advancing Automation to launch this survey on the state of AI-based machine vision.

The survey polled 110 companies from the manufacturing and machine vision industry with both multiple and single choice questions. Respondents who took the survey perform a variety of roles and include C-suite executives, automation engineers and plant managers. One main takeaway is that businesses have high confidence in the effectiveness of AI, and a growing number of companies are already using deep learning-based machine vision for automated visual inspection.

In this report, we will highlight four key findings, detail those discoveries, and provide analysis.

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AI Transformation Playbook

AI (Artificial Intelligence) technology is now poised to transform every industry, just as electricity did 100 years ago. Between now and 2030, it will create an estimated $13 trillion of GDP growth. While it has already created tremendous value in leading technology companies such as Google, Baidu, Microsoft and Facebook, much of the additional waves of value creation will go beyond the software sector.

This AI Transformation Playbook draws on insights gleaned from leading the Google Brain team and the Baidu AI Group, which played leading roles in transforming both Google and Baidu into great AI companies. It is possible for any enterprise to follow this Playbook and become a strong AI company, though these recommendations are tailored primarily for larger enterprises with a market cap/valuation from $500M to $500B.

View Now

Redefining Quality Control with AI-powered Visual Inspection for Manufacturing

Emerging technology — from the introduction of assembly lines to the Internet of Things — has always defined manufacturing.

With the creation of computers and early automation came traditional machine vision, in which machines analyze photos of parts and components for defects based on a set of human-defined rules. While it reduces human error, traditional machine vision lacks the capacity to solve for pain points like complex defects and changing environments.

Today, more sophisticated artificial intelligence (AI), including machine learning (ML) and deep learning (DL), allows manufacturers to use AI-powered visual inspection to enhance quality and reduce costs. But even now, only 5% of manufacturing companies have a clearly defined strategy for implementing AI.

Companies need strategies to overcome challenges in visual inspection, which still relies heavily on human inspectors or inflexible rules-based machine vision. The cost of sending defective pieces to customers — both in reputation and in recalls — isn’t sustainable in a competitive global environment.

The right AI platforms offer tools that can enhance quality control and cut costs — after users tackle key obstacles.

View Now

Accelerate AI Adoption

Landing AI’s industrial AI platform consists of a suite of interconnected tools that enables you to build, deploy, manage and scale AI solutions for visual inspection in an end-to-end workflow.

Designed from the bottom up to enable manufacturers to take projects from concepts to scalable solutions with speed, LandingLens minimizes customization and scaling challenges. While AI models are unique, leveraging universal tools can expedite complex projects. Built for evolving data, LandingLens is comprised of a suite of tools to automate machine learning for industrial vision.

View Now

2020 Global AI-Powered Vision Inspection Enabling Technology Leadership Award

As the AI tide takes over all industries, Landing AI’s most innovative, effective, and easy-to-use AI-powered vision inspection platform enables manufacturers to achieve high-quality output. Landing AI offers immense value to its customers through its robust and adaptive AI algorithms, which is constantly improved by some of the best technical minds in the industry and seamlessly updated at the customer site through the cloud. The visionary leadership of Dr. Andrew Ng, the highly driven techno-commercial team, strong vision inspection domain knowledge, and resilience toward ensuring customer success well position Landing AI to remain a market leader in this space.

With its strong overall performance, Landing AI has earned Frost & Sullivan’s 2020 Enabling Technology Leadership Award in the global AI-powered vision inspection industry.

View Now

2020 State of AI-Based Machine Vision

Of the many use cases in manufacturing, visual inspection—a task that involves using human eye or machine vision to verify if a product is free of defects or if parts are correctly assembled—is well-suited for AI. According to a study by McKinsey & Company, AI-powered quality inspection can increase productivity by up to 50% and defect detection rates by up to 90% compared to manual inspection.

Given these benefits, have businesses started using AI in visual inspections? If so, what is the level of adoption, and what are the challenges? These questions and more drove Landing AI, an industrial AI company, and the Association for Advancing Automation to launch this survey on the state of AI-based machine vision.

The survey polled 110 companies from the manufacturing and machine vision industry with both multiple and single choice questions. Respondents who took the survey perform a variety of roles and include C-suite executives, automation engineers and plant managers. One main takeaway is that businesses have high confidence in the effectiveness of AI, and a growing number of companies are already using deep learning-based machine vision for automated visual inspection.

In this report, we will highlight four key findings, detail those discoveries, and provide analysis.

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Whitepaper: Process Orchestration as the Pathway to Customer Experience Innovation

There is plenty of talk about the need to deliver a differentiating experience for both customers and employees. Enterprise leaders now understand the criticality of the experience in their bids to win over expectant customers and to attract and retain employees. But how can technology play a part and make an impact?

This Intellyx whitepaper highlights how businesses can better link and coordinate a vast collection of technologies, processes and people to drive winning customer and employee experiences.

The whitepaper: Process Orchestration as the Pathway to Customer Experience Innovation uncovers:

  • Ways enterprise leaders can get “past the glass” to create genuinely immersive and integrated experiences
  • How to tame the complexity of multiple technologies, processes and people and operationalize
  • How to connect across and through the enterprise with automation

Download the Intellyx Whitepaper: Process Orchestration as the Pathway to Customer Experience Innovation for free today.

Spend more time innovating your services and growing your business and less time reacting to changing demands.

Make more possible with K2 Nexus.

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eBook: Disrupting the Legal Industry

How 5 Legal Organizations Drive Process Excellence

Technology is disrupting the legal industry. In a business where time literally is money, companies embracing technology and automation will thrive—while those that don’t, will continue to struggle. This eBook highlights five legal case studies that demonstrate the real-world value of process automation.

Download the eBook to learn how each of these organizations leverage technology to solve their unique business problems, as well as ten best practices you can use to transform your legal processes.

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Infographic—Top 6 Processes All Legal Teams Should Automate

Learn why all legal teams should be automating these key processes

Technology is changing the legal profession. If your company is not looking at automating these six core legal processes, you can be sure your competitors are. Additionally, client’s expectations for an efficient, streamlined process continues to increase.

This short infographic outlines six core processes every legal team should be automating and helps you understand the reasons for automating those processes.

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Transformative Automation: Balancing Power and Simplicity

In a post-pandemic world, businesses are still struggling how to automate complex and mission-critical processes. Companies know they need transformative automation—but how and where to start? It is the “how” that continues to challenge most businesses. The digital “visionaries” like Netflix, Amazon, Apple, Google, and Facebook, have all achieved incredible outcomes— So, how can you?

IDC Research explores how a modern approach to business automation can enable businesses of all kinds to grasp the nettle of transformation and work within their constraints to execute at scale.

In a recent report, Transformative Automation: Balancing Power and Simplicity, IDC Research uncovers:

  • The weakest links in a business for delivering transformation and how to overcome the challenges
  • What the key obstacles are for better enterprise decision making
  • How to drive change in digital products, services, experiences and processes
  • What you need to create a new business automation toolkit

Download the IDC Research Infobrief: Transformative Automation: Balancing Power and Simplicity for free today.

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The Power and Peril of Microsoft 365

The adoption of Microsoft 365 brings a mixture of power and peril. Organizations looking solely at the strong benefits of Microsoft 365 may not recognize some of the risks that the suite introduces. This document provides a brief overview of some of the issues organizations should be aware of when adopting Microsoft 365.

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