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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Customer Success Story – QC Software offers warehousing and distribution solutions while building business relationships that last a lifetime

QC Software was founded in 1996 on a vision to provide a standard supply chain automation solution that was modular, easy to configure, platform independent, and economical. Today the company has grown to be a leading innovative software solutions provider for warehousing and distribution, streamlining supply chain operations with the lowest total cost of ownership in the industry. The team at QC Software works closely with customers and partners to design, develop, market, install, and support the best possible WES/WCS solutions.

With the inherent belief that a satisfied customer is its greatest asset, QC Software is committed to providing the necessary tools for improving businesses by designing effective software for warehouse and distribution execution and control systems.

And it’s all based on integrity and value meant to last a lifetime.

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Transformative Automation: Balancing Power and Simplicity

It may be fashionable to say that digital transformation (DX) is dead or over, but we know from survey after survey that it's still absolutely a live issue for businesses around the world. But how to drive true transformation continues to challenge most businesses. The digital visionaries have hired tens of thousands of software engineers to create and deliver innovative digital products and services at huge scale to achieve these outcomes. Most organizations can't do that, but they still need to transform.

This InfoBrief 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.

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Turn Process Pains Into Business Gains

Industry pundits from Forrester will cover the state of enterprise processes today— whether they are broken, manual, paper-based, or simply in need of modernization and automation in each episode. Watching on-demand, you’ll hear best practices and success stories from leading organizations who are doing it right.

Executives from Emerson, Seacoast Bank, and Coca-Cola Beverages Florida will share their organization’s winning automation playbooks for improving the way people work and accelerating digital transformation. Learn how to turn your organization’s process pains into impactful business gains by leveraging Nintex’s easy-to-use and powerful software solutions for visual process mapping, workflow automation, robotic process automation, and more.

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Nintex Webinar: Workflow Wonders

Find out how Amazon has achieved an 800% ROI leveraging Nintex Workflow and Forms to support project management across the organization.

According to Amazon’s Senior Program Manager Dave Berrier, “Nintex is the Amazon way.” In fact, every year, the company executes millions of Nintex workflows to support Amazon Projects, the tool Amazon employees rely on for project management. During this session, Dave will share how Amazon has transformed project management from manual and time-consuming spreadsheets and emails to trackable and automated workflows and forms to ensure consistency and drive productivity.

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PEX: The World’s Largest Process & Operational Excellence Network

PEX, or the Process Excellence Network, is the leading process & operational excellence platform that provides premium content and insight from the world’s foremost thought leaders online and across our industry-leading events.

With more than 160,000 members, PEX Network is the largest and most established community of process & operational excellence professionals in the world. We offer our global community a unique platform to connect, learn and we enable you to reach your target audience across multiple channels.

Learn more about PEX's vision, members, and online events, along with the network's branding, thought leadership, and lead generation solutions in this infographic guide.

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Six steps to drive your process center of excellence to success

Process excellence is a work culture built around key business processes. If business processes are broken or non-existent, the business suffers or fails. If processes are strong and well-documented, it affords you the opportunity for continuous process improvement.

Find out why you need a center of process excellence — and how investing in one — can save you time and money while improving experiences for both your customers and employees. Follow this 6-step guide from Nintex to bring the benefits of process excellence to your organization.

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Reevaluating Digital Transformation During Covid-19

2020 is a year that’s caused seismic shifts in how global executives run their businesses and envision their growth strategies for the future. Disruptions caused by the Covid-19 pandemic are at the heart of what’s prompting business leaders to make fundamental changes to internal operations, as executives continue digitization and automation strategies that were underway prior to the outbreak of the pandemic.

In this Harvard Business Review Analytic Services report, learn about the impact Covid-19 has had on digital transformation efforts, and how the true leaders in digital transformation are investing in resiliency and agility to stay ahead.

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Drive Business Success with a Dual-Track Approach to Transformation

Digital transformation has become the watchword—or, some would say, buzzword—in corporate suites for much of the past decade. The drive to leverage digital capabilities comes as operational agility is seen as the answer for innovating new business models and serving rapidly shifting customer demands.

Research by Harvard Business Review Analytic Services explores why IT leaders are embracing dual-track transformation, the impacts on their businesses, and how they are implementing rapid-cycle innovation to support this strategy.

In this report, learn about the data that reflects input from over 400 IT leaders, and why it’s never been more important for organizations to get more out of their technology and people and build the solutions they need that connect their data and systems.

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Governance Model for a Culture of Innovation: A Playbook for Centers of Excellence

In this age of agility, businesses must operate under more pressure than ever before – competing with cloud-native companies, addressing increasing customer demands, and responding to market volatility at a global scale.

Companies know that they must pursue digital transformation as a priority but have to re-think traditional transformation strategies or risk falling behind. To ensure that your organizational culture is ready to take on these key digital transformation efforts, and become a more flexible and adaptable business, organizations can take steps to improve their culture from the top and throughout the organization.

In this eBook with Quick Base, learn more about the governance model that is supported by a Center of Excellence, and ensure that your systems and processes will be successful for your business to remain resilient for the long-term.

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From Frustrated to Automated

If you’re like most people with a job at the front lines of the business, you’re likely spending at least part of each day searching for data or manually compiling it from across your organization’s core systems.

Despite how frustrating it is, many professionals have grown so used to this situation that they’ve just accepted it as the status quo. Luckily, there is a better, faster, and easier way to simplify, collect, share, and report on data needed on a recurring basis.

In this Quick Base eBook guide, learn about the five steps of process automation and data consolidation, and how it can enable you to automate processes and workflows, compile reports that save time, deliver real-time insights, lower risks, and ultimately advance the success and competitiveness of the business.

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