In this session, Brett McLaughlin, Chief Data Strategist at Akamai, discussed his journey to creating a forecasting solution. He sheds light on some limitations, some innovative thinking, and some hacks that one could use to structure a good forecasting model.

Timeline: 0:29 Brett's journey. 15:06 Data scientist fulling the vision of the CEO. 24:25 Art of doing business and science of doing business. 29:23 Data science and mathematics. 34:55 Salesforce defining the value of algorithms. 38:14 Capturing feedback to improve data models. 46:14 First steps in building a futuristic data model. 54:27 Using algorithms to forecast. 1:01 Tips for data leaders to build a team.

Podcast link: https://futureofdata.org/discussing-forecasting-brett-mclaughlin-akabret-akamai/

Here's Brett's Bio: Twenty-one years of experience transforming business operations through more intelligent use of data. Expertise in leading organizations in data transformation, predictive analytics (e.g., forecasting, linear programming, operational simulations, etc.), world-class visualizations and interfaces, and tight integration into existing operations.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

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Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

More Java developers today want to work with XML, the technology that enables data to be transported intact over the Internet, but they don't have time to become XML experts. If this describes you, then you'll appreciate data binding, the new way of converting XML documents into Java objects, so those documents can be worked on and manipulated like any other Java object, then converted back to XML This new title provides an in-depth technical look at XML Data Binding. The book offers complete documentation of all features in both the Sun Microsystems JAXB API and popular open source alternative implementations (Enhydra Zeus, Exolabs Castor and Quick). It also gets into significant detail about when data binding is appropriate to use, and provides numerous practical examples of using data binding in applications. As Author Brett McLaughlin says "Too many books are written about technologies by people who barely understand them. I've already written two data binding implementations (Zeus, and a previous one for IBM DeveloperWorks.) I've actually used data binding for longer than the official specification has been in existence, and I've really been able to dig into what it takes to code an effective data biding implementation, as well as use one correctly. This book is part user guide, part under-the-hood manual, and part use-case. It's a powerful combination, and one I think people need."