Driving a Digital Future

The Digital Transformation Technical Leaders Program is a multi-year effort designed to develop scientists and engineers into digital scientists and engineers who will become the technical leaders of tomorrow. Through a combination of training and apprenticeship, real problems from the workplace are taken on. Real-time application of techniques ensures that relevant knowledge is gained throughout the program.

The program empowers scientists and engineers to use complex digital tools to solve tough technical problems, often creating entirely new workflows that can transform the way they work and accelerate science innovation.

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Mike Connell | 1m52s | Digital Transformation Technical Leaders Program

An Apprenticeship Approach to Developing Skills

The program begins with a unique, multi-week Immersion Training course. This is an intensive, apprenticeship-like program designed to provide scientists and engineers with a foundation of core digital skills founded on the Python coding language.

The reality is that working on real projects is the fastest way to acquire knowledge. We encourage attendees come to the program with their own technical problems, which are collaboratively solved. Program participants often work on projects that are a source of drudgery in their work, where AI/machine learning techniques can turn days and weeks worth of work into minutes and hours. 

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Mike Connell | 1m55s | Immersion Training: Developing New Skills and Driving Business Impact from the Start

 

From Basic Defect Detection to an Entirely New Workflow

In much of science work, there are tasks that are highly inefficient and time consuming for experts. There can also be issues in result consistency, with outputs varying by each expert performing the task. Visualization, imagining and AI/machine learning offer great potential to transform such tasks.

Here Mike discusses an example of a young scientist taking part in the Digital Transformation Technical Leaders Program, bringing such a task to the course. There, he learned code to automate the task, and discovered an entirely new data set, thus creating a new workflow that drove impact well beyond removing the drudgery from this task.

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Mike Connell | 1m42s | Semiconductor Wafer Inspection Automation Case Study

Transform Your Team and Your Business

Talk to us about crafting a program for your scientists and engineers that teaches advanced digital skills to drive a step change in efficiency and problem solving.