Paralleling his new book, “Leading a Data-Driven Organization” Gordon Summers, Senior Data Science Strategist, CAN and Principal, Cabri Group will be helping those who are going to be tasked, or are currently tasked, with leading the philosophical change that is Data-Driven Decision Making. The key word is "leading"-- getting ahead of the curve and staying there. Leaders first need to understand what has changed in business in a world where data science is building moats between business competitors. There will be training on what data science is, how data science works, and how data science can drive better decisions as well as how to implement ideas and how to hire, train, and manage talent. The seminar will then address some of the major barriers that leaders will need to address: the bias of inactivity, the bias of decision avoidance, ROI for "science" projects, acquiring resources, choosing the right projects, and perhaps most importantly, management's ability to understand the results. There will also be discussions on job task automation, classification algorithms, effective charts/graphs, data ripeness/freshness, and model refresh frequency, etc. You will come away with a much better understanding of the people you are managing, the people who need their predictions, and how to stand in between both camps. Additionally, you will receive a digital copy of the book used in the class.
In this class you will learn: What is a machine learning data scientist and how do you find/hire one? Many companies struggle with the concept of what machine learning is and what it does. Since Machine Learning is quickly becoming a barrier to entry for a product, companies will soon not consider a piece of software or app that does not have machine learning built into it. However, Machine Learning skills are extremely hard to find and almost cost prohibitive. Many companies are trying to fill the need using a regular data scientist (also hard to find). This session will discuss the necessary skill sets of a Machine Learning data scientist, the parallel data scientist skills which can be cross trained, and how to manage those people once they get the right training. It will also cover the value proposition of Machine Learning and how it applies to your business.
Those interested in developing their AI and ML skills can attend the Machine Learning Introductory training workshop featuring CAN’s Principal Data Scientist Gordon Summers. The training will leverage drag and drop interfaces instead of code-based machine learning and will include setting up a model, executing machine learning, and analyzing the results using a data science platform tool called Dataiku.
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