IOT CATEGORIES
MOST POPULAR TAGS

Podcasts




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...




Episode 113

I don’t want to be accused of being a hammer but if you think about it, IoT is the tech behind digital transformation. If your definition of IoT doesn’t include data science like mine does, then the technologies at hand are IoT and analytics and AI. Industrie four-zero addresses this tech as well as the political, environmental, corporate and academic issues that pave the way.
Listen to this podcast (or read the transcript), where I speak with Henning Banthien about the unique and effective approach Plattform Industrie 4.0 takes in digitally transforming the discrete manufacturing industry...




Episode 112

By definition an ecosystem brings together multiple products in order to deliver an outcome. However, today’s IoT standards don’t go far enough enable different products to work together. Another layer is needed to ensure ecosystem products speak the same language.
Listen to this podcast (or read the transcript), where I speak with David McCall about the Open Connectivity Foundation and the codebase they provide to enable smart home products from different vendors to talk to each other – exactly what you need for any ecosystem...




Episode 111

No one company is big enough to provide an end-to-end industrial Internet of Things solution. Realizing this the Industrial Internet Consortium (IIC) was founded to bring together different solutions from different vendors to address different use cases. The end game however is not technology, but business – to understand what is needed to put together solutions that not only work well, but sell well.
Listen to this podcast (or read the transcript), where I discuss the IIC with Stephen Mellor to see if this consortium is right for you...




Episode 110

AI today is getting better at learning. In fact, learning is what differentiates what we call AI from advanced analytics. Machine learning algorithms minimize an error function by autonomously and iteratively adjusting their model variables. But what’s next for AI and machine learning?
Listen to this podcast (or read the transcript), where I speak with James Canton to hear predictions on where the predictive technology of machine learning will go in the Internet of Things....




Episode 109

Convoluted Neural Networks or CNNs are a type of AI typically used in computer vision to process images, but they are also applicable to process the time series data we typically get from sensors in IoT.
Listen to this podcast (or read the transcript), where I speak with Simon Crosby about how these CNNs can be used to make predictions about the future and reduce the massive amounts of data we collect to just the important stuff....