IOT CATEGORIES
MOST POPULAR TAGS

Data




Episode 118

Using external data in addition to your internal data is strategic. Besides public microservices, business systems and IoT products, an emerging source of external data is the datamart, otherwise known as the data marketplace or data exchange – places where you can buy and sell data on the open market. But should you sell your data and are there any other options to do so?
Listen to this podcast (or read the transcript), where I speak with Tim Panagos about setting up your own datamart and the inherent value in doing so - even if you don’t plan on selling anything at all...




Episode 117

I have to admit, when I think datamarts, I think about buying data and when I think data monetization, I think of data as a means to monetize an IoT product or service. But what about being a seller? That is, monetizing data by selling it directly on the open market?
Listen to this podcast (or read the transcript), where I speak with Didier Navez about the mechanics of being a buyer and a seller of data...




Episode 116

Opensource software is mainstream. But opensource data? Yeah, and it can be found in a datamart near you. The thinking is, if you make your data freely available for all to use; all will improve it. It will be made more consumable, you will get feedback on how to use it and perhaps counterintuitively, you will learn how to value it.
Listen to this podcast (or read the transcript), where I speak with Adam Mayer about applying the opensource ethos to data within the data exchange...




Episode 115

One of data science’s dirty little secrets is the time spent data wrangling, that is accessing the data and then transforming it into a form compatible with your data tools and chosen analytical and learning models. Most agree this can take a full 75-80% of data science time.
Listen to this podcast (or read the transcript), where I speak with Adam Mayer about data access and form when shopping at your local datamart...




Episode 114

To truly use the Internet of Things in its fullest capacity – more than connected and more than smart – we look beyond our internal sources of data and venture onto the Internet to seek out external sources of data that when mashed with our sensor data, creates more valuable information. This can be done piecemeal by connecting directly to microservices, but a new source has popped up lately.
Listen to this podcast (or read the transcript), where I speak with Carl Rodrigues about data marketplaces and how to shop there for value...


Analyzing athlete data has been performed in high-level sports for years but it’s only recently that wearables and IoT could be realistically used to deliver useful information to athletes and coaches alike.
Watch this video (or read this transcript) to see Mounir Zok discuss how today’s wearables combined with state of the art Internet of Things technologies are advancing sport ...




Episode 67

They say data is the new oil. Well if that’s the case, then like oil, crude data must be refined and packaged to make it useful and consumable. If you believe, like I believe, that all incremental value from an Internet product comes from transforming its data into useful information, then external sources of data, when combined with internal data, can become very valuable, indeed.
Listen to this podcast (or read the transcript) where I speak with David Knight about third-party data markets and syndicates ...


One of the value power sources for an IoT application is external data, that when piped in, can be used to augment its functionality. Of all sources of external data, weather is probably the most ubiquitous and useful. Like many data services, the API is built on a tiered billing system. Come in for free as a developer or hobbyist but once you get over 500 hits per day you start paying.
Watch this video (or read the transcript) to hear Brendan Hayes describe the Weather Company’s API and business model to access it...