Weekly Top Reads:
The scope of Robert Chang’s A Beginner’s Guide to Data Engineering – Part I allows the reader from getting a basic understanding of data engineering and hopefully it will pique your interest to learn more about this fast-growing, emerging field.
Every designer has had to justify their designs to a non-designer, yet most lack the ability to convince people they’re right. The ability to effectively articulate your decisions is critical to the success of a project, because the most articulate person usually wins. In this talk by Tom Greever - Articulating Design Decisions - learn practical tips for talking about your designs to executives, managers, developers, and other designers with the goal of winning them over and getting your way when it comes to the final design.
Emmanuel Ameisen, AI Lead at Insight AI, details how to efficiently build Machine Learning powered products. Hint: Always start with a stupid model, no exceptions.
Deep Reinforcement Learning (DRL) can be applied to enterprises that want to automate or optimize the efficiency of industrial systems and processes (including manufacturing, energy, HVAC, robotics, and supply chain systems). But there is a key element for building applied DRL: simulation environments. Cyrill Glockner’s Simulators: The Key Training Environment for Applied Deep Reinforcement Learning, details what simulators can do, why you need them, and how you can use the Bonsai Platform + simulators to solve real business problems.
The logo or a mark of a brand is really important and tends to get the spotlight. But a brand’s typeface is possibly the most interactive element of a brand - whenever we open up an app, read an article, or navigate a UI we are generally looking at a lot of text.
And so why not have that element we are interacting so much with be unique and relatable to that brand.
To give you some insight into why smart cities are emerging and how you can capitalize on the opportunity, we released The Business Opportunity of Smart Cities.
One of the main outsourcing challenges that many companies face is finding a way to allow corporate bureaucracy mesh with an agile, start-up frame of mind.