{"id":10396,"date":"2022-08-25T10:01:34","date_gmt":"2022-08-25T17:01:34","guid":{"rendered":"https:\/\/www.qad.com\/blog\/?p=10396"},"modified":"2022-08-25T10:03:21","modified_gmt":"2022-08-25T17:03:21","slug":"lessons-for-manufacturers-in-the-wake-of-google-halting-cloud-iot","status":"publish","type":"post","link":"https:\/\/www.qad.com\/blog\/2022\/08\/lessons-for-manufacturers-in-the-wake-of-google-halting-cloud-iot","title":{"rendered":"Lessons for Manufacturers in the Wake of Google Halting Cloud IoT"},"content":{"rendered":"

[vc_row][vc_column][vc_single_image image=”10397″ img_size=”full”][vc_column_text]Google just announced the phase-out of its Cloud IoT service. If you just read these headlines then you might be missing out on what this means to you, as a manufacturer. So, what does it mean?<\/span><\/p>\n

In my opinion, this indicates that one of the world\u2019s technology leaders could not make a commercially viable IoT hosting platform. I\u2019m intentionally saying \u201c<\/span>commercially viable<\/b>\u201d because Google has the talent and cash to do just about anything. For proof of this assertion look no further than their AI, which is so advanced that one of their own engineers made waves by claiming it was sentient (read the transcript, it\u2019s frighteningly impressive). No manufacturer that I\u2019ve encountered (which is more than a few) has aspirations of copying Google, so what does this mean to you?<\/span><\/p>\n

The most important takeaway should be comforting, if not anticlimactic: the difference this makes to <\/span>Digital Manufacturing<\/span><\/a> will be imperceptible. Why? Google\u2019s use case is not a manufacturer\u2019s use case. This may seem like an obvious statement, but enough executives read the headline \u201cGoogle Stopping Cloud IoT\u201d so it\u2019s worth noting what makes your IoT adventures different from Google\u2019s. They care(d) about IoT, and you care about IIoT: emphasis on <\/span>Industrial <\/b>Internet of Things, in this case. Take their communication protocol decisions for example, support for MQTT and HTTP but no mention of OPC UA. This omission means their target was never manufacturers, at least to the extent that their product alone was not meant to be a cornerstone of your digital manufacturing efforts. Sure, their product suite was used by companies trying to provide Cloud SaaS solutions with Google\u2019s IoT, ML and AI. But manufacturers would have interacted with those companies, which often leverage Microsoft and Amazon\u2019s services too.<\/span><\/p>\n

Though Google\u2019s decision doesn\u2019t impede Digital Manufacturing, there are lessons to be learned:<\/span><\/p>\n

Lesson 1: It Confirms that Applications Are Still Important<\/span><\/h2>\n

An ankle-deep wade into Google\u2019s Cloud IoT page reveals a host of other solution names. From their website: \u201c<\/span>Use downstream analytic systems by integrating with Google Big data analytics and ML services such as Cloud Dataflow, BigQuery, Cloud Bigtable, ML, Google Data Studio.<\/span>\u201d Did you see any announcements about shuttering its Google Cloud Platform or any of their data analytics tools? Neither did I. This is an editorial leap, but I don\u2019t think that Google\u2019s IoT had a solid application. It was a side project meant to drive Cloud revenue, and it missed the targets.<\/span><\/p>\n

If Google can be humbled like the rest of us, then the adage about lacking plans and getting nowhere remains unchallenged. A survey of manufacturing outlooks from the last few years will conclude that well-designed lighthouse plants are seeing significant gains, while plenty of organizations are still struggling with Industry 4.0. This is not a paradox. There are many things that separate the winners from the losers; starting with a measurable application in mind is a consistent success factor. That\u2019s not to say that new and worthwhile revelations are a hoax, but they are typically reserved for organizations who observe the periphery impacts of their initial success.<\/span><\/p>\n

Lesson 2: It Informs Us on How to Approach IoT-enabled Products<\/span><\/h2>\n

I started by making the case that Google\u2019s Cloud IoT platform was, on its own, not a good fit for industrial purposes. Therefore, its phase-out doesn\u2019t predict doom for Digital Manufacturing. It might, however, shift things in the realm they are intended to be in: consumer-level IoT and smart products. Even if you don\u2019t manufacture smart products today, it may not be far off. While we\u2019re evaluating a platform misstep, let\u2019s point out a few other areas where IoT can fall short.\u00a0<\/span><\/p>\n

Poorly Designed Smart Products Are Dumb<\/span><\/h3>\n

Deciding<\/span> what <\/i><\/b>you manufacture comes before deciding <\/span>how <\/i><\/b>you manufacture it. IoT products are popular but they aren\u2019t always logical. Here\u2019s an example from my life: as a parent of young children, my recent consumer tech expenses have been centered around kid health and safety. Smart heart rate monitor socks, smart thermometers, smart A\/V monitors, smart sound machines, and so on. Some of these products have enhanced my experience. Others just haven\u2019t. We bought a fancy sound machine that could be programmed through our phones: schedule, volume, bird tweets vs ocean waves, etc. The concept was great, but the IoT platform execution was so poor that I now prefer inserting and removing the power cable to turn it on and off. Ironically, the \u201csmart\u201d machine is far more cumbersome than our other kid\u2019s white noise generator that\u2019s essentially a fan with an on\/off toggle. Adapting a quote from one of my favorite doomed characters, Qui-Gon Jinn, \u201cthe ability to <\/span>connect<\/span><\/i> does not make you intelligent\u201d. If you can, avoid digitizing just to say you\u2019ve done it.<\/span><\/p>\n

What Can You Realistically Influence?\u00a0<\/span><\/h2>\n

Let\u2019s say you have a good case for a smart product. Now you have to make it.<\/span><\/p>\n

Start by getting involved early. Your organization may employ \u201cdesign for manufacture\u201d (DFM) or a similar method that involves operations in product ideation. You can be a voice of reason in this process by ensuring that the \u201csmartness\u201d of your product has a real application. When the design moves forward, consider how your manufacturing process will be impacted by including new electronics. Producing IoT devices itself may open new challenges and opportunities in Digital Manufacturing. Think back to the two sound machines \u2014 the \u201csmart\u201d one required circuit boards which were probably serialized. Including the PCB doesn\u2019t just add an assembly step, it increases your data collection and traceability. Are you ready for that?<\/span><\/p>\n

Second, make a holistic plan. This includes ensuring your information systems will be enablers instead of blockers. Do you have a quality management system that facilitates Advanced Product Quality Planning (APQP) and <\/span>Failure Modes and Effects Analysis<\/span><\/a> (FMEA)? Is your shop floor system ready to check skills and display digital documentation while supporting Industrial IoT and operator-entered information? Google\u2019s business model had little to do with preparing organizations for the introduction of IoT. I can\u2019t claim that this caused their downfall, but we should approach the correlation with cautious respect.<\/span><\/p>\n

To conclude, I think it would be a mistake to let Google\u2019s IoT phase out negatively influence a manufacturer\u2019s opinion on the value of IoT, especially IIoT. I also think that it would be a mistake to completely ignore the announcement. Achieving success with (I)IoT and Digital Manufacturing<\/a> requires a focus on application and attention to execution. Keep moving forward, and keep your heads up.<\/span>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][vc_single_image image=”10397″ img_size=”full”][vc_column_text]Google just announced the phase-out of its Cloud IoT service. If you just read these headlines then you might be missing out on what this means to you, as a manufacturer. So, what does it mean? In my opinion, this indicates that one of the world\u2019s technology leaders could not make a commercially […]<\/p>\n","protected":false},"author":46,"featured_media":10397,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[182,199],"tags":[2323,1226,2322,107,94,2325,24,578,2326,2324],"class_list":["post-10396","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-featured","category-manufacturing-trends","tag-cloud-iot","tag-digital-manufacturing","tag-google-cloud","tag-iiot","tag-iot","tag-iot-enabled-products","tag-manufacturing","tag-saas","tag-smart-products","tag-web-applications"],"yoast_head":"\nLessons for Manufacturers in the Wake of Google Halting Cloud IoT | QAD Blog<\/title>\n<meta name=\"description\" content=\"Google announced the phase-out of its Cloud IoT service. 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