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Design Center Use powerful WEBENCH design tools to create custom circuits. These easy-to-use tools deliver customized power, lighting, filtering, clocking and sensing designs in seconds. All designs include a schematic, test data and design files. TI is a global semiconductor design and manufacturing company. Little to do with IT, but interesting! Readers know I have lamented for a while that enterprise software has paid lip service to verticals. Two decades of cloud and in-memory computing and still most of the available functionality is around horizontal areas – accounting, HCM and CRM.
So, I was a pig in mud this week visiting with Uptake in Chicago and hearing them talk about failure prediction, fuel management and label correction around complex industrial assets like locomotives and wind turbines in industries like railroads, mining and energy. These are industries with complex, expensive, mission-critical assets. Connecting such assets is allowing for predictive maintenance, better asset performance monitoring and much more sophisticated field service. The concept of having assets talk to us about how they are feeling is not new. In later books and blogs, I have extensively covered GE and its vision of the Industrial Internet.
Uptake’s platform built atop cloud infrastructure from Google, Amazon and Alibaba ingests gobs of asset sensor data, applies machine learning to separate signal from noise, supplements traditional physical models and leverages a growing army of of domain-aware data scientists. Uptake will not magically make up for lack of updated transactional capability from software vendors. As an example, most asset management software in the market still focuses on depreciation accounting and planned, not predictive, maintenance. In that sense, Uptake is showing that the value is moving away from process and transactional capability to intelligence and analytics.
Enterprise software vendors will attempt to do the same or at least talk a good game. Can Uptake go even further and adjust to the world of outcome based economics? OEMs like GE who make such assets are trying to move away from the business model of one-time asset sales to multi-year contracts based on uptime and other outcome metrics. Buyers are skittish about such value contracts because they cannot precisely tie payback to product functionality.
Still others view ML algorithms as voodoo science. Uptake is today a small player surrounded by giant OEM makers and sophisticated utilities and railroad customers. Again here, Ganesh’s recent stint at GE Digital should help. In the meantime, through his portfolio of other companies, Brad and his colleagues have their fingers in consumer markets, logistics, healthcare, advertising and other sectors. When it comes to verticals I have a feeling they have already contributed more and and we will see more from them than we have from many enterprise vendors. 8-story glass and metal robot which delivers the car you just purchased on the web.
I was telling her how they have re-imagined so many things about the used car market. Website with multiple views of cars as their virtual sales location. Algorithms applied to wholesale car buying. Have bar codes evolved in the last 15-20 years?
It was a rhetorical question a client asked a vendor presenting on next-gen shop floor ideas. Vendor after vendor had demoed good old fashioned rectangular bar code readers. You think they could have at least talked QR codes. Even better they could have shown digital calipers, ring scanners, augmented reality goggles and industrial robots. What’s the difference between the two besides octagons and rectangles? The latter was just trying to sell you what they have and have had for a long time. There is a time and place for both models.