Why is Adaptive Microlearning so crucial today?

Many industrial producers are facing a perfect storm of accelerating change and the pressing demand to become more agile.

With Adaptive Microlearning your organization can harness these gale-force winds of change to power digitization of core processes and industrial work.

Talent losses and gains

Research of industrial operations reveals four change drivers for better, faster and less expensive ways to manage an industrial workforce.

  1. Most baby boomers will retire soon, taking with them a tremendous amount of institutional and tribal knowledge with no effective way of transferring that knowledge to younger workers.
  2. Many of the younger workers resist using stale, lame, and antiquated tools and systems, especially common corporate training and knowledge base systems

Compounding costs, many of the younger workers continue to leave their corporate employers every two or three years. This adds higher costs to the recruitment, onboarding and training of short-haul replacements. 

  1. Chronic shortage of trained technicians with skills and domain knowledge requires that industrial organizations invest more heavily in remedial training, retraining of existing employees, and aggressive poaching of scarce replacement workers.
  2. Most of the younger digital-native workers learn in ways markedly different than their older counterparts. 

Digital natives demand always-on mobile short-form lessons and job-cycle refreshers that are directly related to the work at hand, emphasizing the importance of fast, low-cost production of short-form explainer and how-to videos.

Hindering digital transformation

The pace of innovation and change on the factory or shop floor, in the field or at remote stations further widens worker knowledge gaps, putting more pressure on a step-change improvement of worker training.

Regulatory compliance for greater transparency and traceability, especially for Environmental Social Governance, Health, Safety and Wellness, also increases the requirement of more if not continuous supervision and training.

Taken together, talent shortages, inefficient training systems, and demand for greater traceability, can thwart the digitization and industrial IoT transformations.

We believe that Adaptive Microlearning can and will play a critical role in speeding digital transformations of industrial operations.

We believe that Adaptive Microlearning will produce safer, more productive, more meaningful, and transparent work environments 

We believe that Adaptive Microlearning enables you to the last remaining area of the industrial operations: industrial workers and related job cycles.

What distinguishes Adaptive Microlearning from traditional learning and development

When compared and contrasted with traditional methods of training, seven factors differentiate Adaptive Microlearning Workspaces from SmarTECHS.

1 Adaptive Microlearning happens in real time on the job as well as at home or while traveling.

2 Adaptive Microlearning provides contextual information, content, and live collaboration as well as interactive software applications and data collection that a worker needs to complete a job.

3 Adaptive Microlearning molds itself to 

  • Individual’s competencies
  • Jobs orders and tasks to be performed
  • Accessible performance support, online or offline/embedded
  • Edge computers that the worker uses, and 
  • Internet connectivity including offline store-and-forward recorded

4 Adaptive Microlearning enables multimodal interactions

  • Self-directed or guided learning in …
  • Individual or small groups sessions focused on …
  • Training, apprenticeships, or monitored job cycles using …
  • Manuals, guidebooks, helper videos created by …
  • Experts from the industrial organization, OEMs or service providers

5 The learning and performance analytics of Adaptive Microlearning provides an interactive dashboard for visualizing the verified competencies of each profiled worker, the current position with a worker competency-skills maturity matrix, time-series plots of learning activities and attainments, and next-best learning modules to master.

6 The SmarTECHS Adaptive Microlearning platform integrates data from a customer’s 

  • Legacy learning management systems
  • HR and people analytic systems
  • Enterprise content management systems
  • Digital asset management
  • Business process and work management systems
  • Enterprise asset management systems
  • Enterprise AI data lakes

7 The SmarTECHS Adaptive Microlearning drives a close-loop optimization cycle of field work efficiency with continuous improvement of the job cycle and continuous upskilling of workers.


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Michael has a successful career in high technology of Silicon Valley spanning 35-plus years.


Over the course of his career his work with the world’s largest organizations has included the deployment of 200-plus large-scale enterprise IT systems, resulting in $7.5B in business impact of cost savings, productivity gains, increased revenues, and higher valuations.


Michael has held the position of Chief Marketing Officer in five startups.
As an adventure capitalist, he has mentored 25 early-stage startups, including five on an equity basis. He maintains a singular focus on buying enablement, using technology and global networks to assist businesses and individuals in getting full value for their purchases.


He has worked in sales, marketing, and strategic advisory roles with 30+ of the leading InfoTech and Telecom firms: Adobe, Apple, Autodesk, Deloitte, Ericsson, HP, IBM, InfoSys, Nokia, OpenText, Oracle, Rogers, SAP, Shaw Communications, and Videotron. He also has worked as a consulting and strategic advisory roles at leading international consumer and B2B enterprises: Amway, Boeing, Disney, E&J Gallo, Ericsson, Frank Russell Company, Gap, General Motors, FCB, Hallmark, Hasbro, IBM, Leo Burnett, Nokia, Philips, SanomaWSOY, SAP, TeliaSonera, Thomson Corporation, Time, VF Corp, Walmart, and Warner Bros.


Today tens of thousands of executives worldwide recognize Mr. Moon as a dynamic lecturer, a prolific writer of white papers, and master-class innovation leader. He has lectured at UC Berkeley, Stanford University, San Francisco State University, Fielding Institute, and St. Pölten University (AT).


Amazon reviewers gave his first book, Firebrands: Building Brand Loyalty in the Internet Age, four-and-one-half stars; published 13 languages.

The arc of my 40-year career in hitech reveals a clear pattern: seeing opportunities where others saw only fog and mobilizing like-minded individuals and organizations to seize opportunities years ahead of their peers.

Over his career of 25-plus years, John has sold over $2 Billion in software, services, and integrated systems.
He has built operational capabilities for direct and indirect (channel) sales, organized and led global cross-Industry Strategic Alliances, and supervised global account teams for delivery excellence and customer satisfaction.


John’s domain expertise spans mobility, analytics, software-as-a-Service (SaaS), integrated cloud and edge computing, ecosystems for the Internet of Things and connected workforces as the technologies of 5G, Augmented Reality, Artificial Intelligence, Additive (3D printing) Manufacturing, and Blockchain.


As a senior advisor to executive management, he has assisted CXOs and senior business leaders of Global 2000 firms in the areas of mergers and acquisitions, marketing and sales enablement, product innovation and development, IT service design and management, compliance and finance.


His previous customers range from High Technology to Technology-consuming Enterprises across Manufacturing and Logistics, Energy, Power Generation and Utilities, Retail and Consumer Products, Healthcare and Life Sciences, and Federal Government sectors.
John served in leadership roles at Cognizant Digital Business, Symphony Teleca (now Samsung-HARMAN Connected Solutions), ARICENT + Frog (now Altran), EMC Global Services, ADVENTIS (now Cartesian-CSMG), and Keane (now NTT DATA.)


John is an industrial engineering graduate from IIT Madras and earned his MBA in Finance & International Business from NYU Stern Business School and recently completed MIT Sloan School’s Executive Program.

There is no greater purpose of a company than to attract, serve, and keep profitable customers for life … and that all starts with innovation.

As the CTO and Adventure Capitalist, he brings a high-performing DevOps teams and a Web-scale industrial automation platform that supports an burgeoning array of Industry 4.0 transformations: connected workspaces, Industrial IoT device management,
machine-to-machine (M2M) and supply-chain data integrations.


The SmarTECHS platform leverages 850-plus engineered software objects that enable rapid same-day builds of complex software applications, notably Connected Workspaces and related business process and workflow automations.


Customers use its model-driven architecture to slash the cost, need for scarce developers and technical debt.


A finalist for the EY Entrepreneur Of The Year 2016 Award, he has earned an international reputation for kickstarting high growth-potential businesses in medical, construction, heavy industry, financial services and professional services.

More than ever, the risks of inaction far exceed the costs of failed innovations … and the best, lowest risk place to start is with frontline industrial workers.

As a global executive with 25 years of experience, he has led operation transformation at Dunlop, Carrefour, Cadbury Schweppes, Checkpoint Systems and Dorman Product and has delivered $2B-plus of economic value.


As a serial entrepreneur, Remy launched SmarTECHS in 2018 to exploit the emergence of industrial voice-controlled head-mounted computers and industrial cloud-computing infrastructure.


Remy and the team share a cynical realism for innovation and transformation: an extreme focus on bottom-up improvements arising from practical, secure and scalable business capabilities.


Over the course of his career, he has led the transformation of global operations and core business processes, including eSouring in 2000, ERP solution deployment, and global change-management initiatives. Most recently he managed a $250 million product portfolio of fast-growing industrial products and supervised 680 people in 28 countries.

We are a stand to provide dignity, meaning and humanity to the gray hats of industrial organizations … the front-line workers who keep the lights on.

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Industrial Jobs to Be Done
on Head-mounted Edge Computers

Ruggedized for use in dangerous environments
Hands-free voice interface and SafeSight heads-up display
Adaptive workspaces for each worker, job site, work order, and machine

SmarTECHS | Intelligent Assistance of Connected Workers