IoT @ Stanford - Too new to know?
Sandra Moerch
Content Strategy @ Autodesk | ex-SAP | UN Women Board Member | Stanford WiDS Ambassador | Gates Foundation Goalkeeper
I am sitting here in my first class of the Spring 2016 semester at Stanford University - The cutting edge knowledge library of faculties and curricula.
The book we are using is published less than a month ago in December 2015!!
As an SAP employee located in the heart of Technology, Silicon Valley, I would like to think that I have significant insights in regards to IoT concepts. But what factors really decide the legitimacy of IoT? Is it just the simple process of connecting hardware to software - because then many products can claim IoT capability... If we dive down a bit deeper and require the hardware to not only be connected but to perform commands independently of our actions - do the devices then become IoT intelligent?
Personally I expect more from IoT. I do not want simple gadgets that perform meaningless commands. I want IoT to support a simpler future, I want IoT to know me well enough to know my preferences, I want IoT to better my life quality and enhance personal flexibility, not to mention increase revenue for my customers.
IoT based on Analytics
becomes meaningful IoT
The concepts are still a bit vague, and the discussion is going strong on when to apply IoT concepts and when it is legitimate to tie them to a product. Many would argue that IoT devices existed long before the term was invented through tracking devices and beacon signalling. What do you think?
Tonight was a great introduction to the upcoming 9 weeks class of learning leaders, and it was truly an inspiration to see the representation of Silicon Valley's diverse business scene take part. An entrepreneur, a Google engineer, a Symantec product manager, a Cisco networking engineer, and an Amazon Echo software engineer, are just a few examples of who is represented in this class of curious learners at all organizational levels, who...
want to know what tomorrow's tech will bring of business opportunities.
Stay tuned for more snack content on the topic of IoT and life in Tech Business, which I aspire alongside my SAP team, to tame during this spring semester.
Technology Futurist, Educator, GenAI Author, Researcher, LinkedIn Learning Instructor, Global South in AI, Stanford CSP & Business school of AI: IoT, Autonomous Vehicles, Generative AI
9 年Thanks for blogging Day1 of the class Sandra. Love your expectations from IoT. Simpler future means amazing customer experience, knowing you has to offset user privacy. Ah the last part about increasing revenue for customers. We'll have to figure that out together - you, me and your customer.
Bestselling Author of MXLTIPLY
9 年Excellent article!
Content Strategy @ Autodesk | ex-SAP | UN Women Board Member | Stanford WiDS Ambassador | Gates Foundation Goalkeeper
9 年Thank you so much for reading and responding to my snack article ALI SHEHRI - I really appreciate it. I concur with your arguments, and that the hair fine line in distinguishing IoT intelligence from Analytics is difficult and currently inhabits a gray zone in technology concept terms. As an Analytics geek myself, I strongly believe that in order to create meaningful IoT we do need to apply predictive capabilities in shape of Analytics and live data streams, to make our tangibles behave according to trends and tendencies.
Analytics at Saudi Aramco
9 年Great and hot topic Sandra, thank you for taking the time to publish this article. For me, I agree that we had some simple forms of IoT before the term gets its current popularity. The term was invented in 1999, but it is now getting popular due to the availability of internet at our homes and mobile devices. A very simple form of IoT that existed for few years would be find my iPhone or iPad app. This app allows you to locate your device using the internet and send commands to lock it or erase all the data. For me, this is one form of IoT. If this can be done for iPad, then the same can be done for other devices at our homes. The term is vague as you mentioned. We very often see companies referring to the process of attaching sensors to machines to collect data, and then analyze this data to either monitor or predict machines failure as IoT. I think this is Big Data Analytics and not IoT as there is no control over the machine with this process.