In this 6 part article series, we explore how IoT is creating a connected chasm where organizations can either thrive or die.Read Part One
Let me describe an all too common scenario: A company’s senior leadership meets under the banner of discussing IoT. One or more (often the most senior) executive starts with, “I don’t get the IoT thing. […]
The short answer is that if you’re a tech company, you need to… period. Product managers can have a huge impact on a product success – it’s all about building benefit-driven products, not feature-driven ones.
Why is it so difficult to uncover real breakthrough ideas? Is there a better approach? CEOs are responding to that threat/opportunity by launching formal business transformation programs; a significant percentage fail.
Transformation occurs when an enterprise launches a new business model, accompanied by new products and services, into an existing or new market. It most often takes the form of a startup within an established business.
Machine Learning Series – Part 3: We continue our machine learning discussion, and focus on problems associated with overfitting data, as well as controlling model complexity, a model evaluation and errors introduction, model validation and tuning, and improving model performance.
Machine Learning Series – Part 1: Machine learning is a hot topic for many key reasons, automatically obtain deep insights, recognize unknown patterns, and create high performing predictive models from data, all without requiring explicit programming instructions.
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