Fri.Nov 29, 2019

How IoT and Machine Learning Can Make Our Roads Safer


The transportation industry is ripe for some major technological transformations, especially motorcycle accidents on the rise. The transportation industry comes along with injuries, high maintenance costs, loss of lives, and disaster.

Markov Chains: How to Train Text Generation to Write Like George R. R. Martin


Read this article on training Markov chains to generate George R. Martin style text. 2019 Nov Tutorials, Overviews Generative Models Markov Chains NLP Text Analytics

5 industries that are using Artificial Intelligence the most


Ever since the Industrial Revolution (IR) 4.0 has kicked in, it’s been like a rain fire of emerging technologies and surprisingly most of them are interconnected and work in tandem with each other.

Two Years In The Life of AI, Machine Learning, Deep Learning and Java


Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use. 2019 Nov Opinions AI Career Deep Learning Java Machine Learning

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

IADSS Talk – Who can be a Data Scientist?

Data Science 101

Initiative for Analytics and Data Science Standards (IADSS) is an organization working to develop standards around the roles in data science. They did a large survey earlier this year and they are starting to role out some of their results. Below is a video with some early results. Great Stuff!

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Cloud Data Science News – Beta #4

Data Science 101

In the United States, it is a holiday week, so the news is pretty limited from many of the big cloud providers. Luckily, Amazon has come through with a flurry of machine learning announcements.

How Advances In Big Data Technology Make RPA Automation Viable

Smart Data Collective

Big data technology is essential to the field of robotics. Big data has made it easier than ever to automate certain processes with complicated robotic tools.

Top 3 Emerging Trends & Opportunities for AI in Retail


The rapid digitization of communication, shopping and almost every other aspect of daily life has entirely up-ended consumers’ habits and expectations.

Risk 10

How To Select Ideal SEO Courses In The Big Data Era

Smart Data Collective

Big data is changing the future of the SEO profession. We have witnessed a number of ways that big data can influence the industry. Some of the changes include the following: Big data can be used to identify new link building opportunities through complicated Hadoop data-mining tools.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.