Absolut use cases of ML in Supply Chain Management

Artisan products can be key differentiators for their manufacturers and as we at #codedataio see more manufacturers going the artisan route, it becomes all the more important to use automation in decision support in order to squeeze out more with less

#smartmanufacturing: right here, right now – don’t miss the slideshow on Ford’s new Advanced Manufacturing Center.

OI4 – The Open Industry 4.0 Alliance that was formed at#hannovermesse2019 plans to take the alliance global. The Open Manufacturers Cloud Platform could be a great forum to drive adoption

A financial perspective of decision making in manufacturing operations – what you can get to when you combine #smartmanufacturing technologies with #rpa in finance.

#worldeconomicforum says that early adopters like Ericsson and Comau have already started reaping IoT benefits using #5g. #5gtechnology will have a huge impact on #smartmanufacturing – we at #codedataio have been following this space closely.

Lack of communication is a fundamental issue plaguing supply chains. And as #digitalsupplychain evolves into #digitalsupplynetwork in the era of #smartmanufacturing, this issue becomes more visible and has bigger impact. Siloed reports and dashboards (and too many of them) make matters worse.

A reminder that success of #smartmanufacturing depends on #customerfocus and #employeefocus.  #digitaltransformation in manufacturing (or in any industry for that matter) is incomplete unless the ultimate focus

As #hannovermesse2019 wraps up #codedataio is focusing on showcasing the beauty and prowess of #codaai for  #industrialautomation and #industrialtransformation using #augmentedanalytics at #hannovermesse2020, April 20 through 24, 2020. See you there. Details on our participation to follow.

BMW teams up with Microsoft to build Open Manufacturing Platform based on Microsoft’s Azure IIoT. Another instance of #smartmanufacturing adoption. Glad to see auto manufacturers like Volkswagen and BMW

#codedataio is following #hannovermesse2019 for applications of #industry4_0 and #machinelearning

Manufacturers have data scattered across many systems – ERP, CRM, MES, IIoT are just some of them. Moreover, you must go through tens of dashboards and hundreds of reports before you make a decision. That’s painful. That’s got to change.

Automata raises $7.4M on the power of Eva – a $6,600 Industrial Robot that can perform simple tasks relieving human minds to focus on the more complex ones.

Manufacturer’s adoption of  #machinelearning and advanced analytics to improve #predictivemaintenance is predicted to increase 38% in the next five years (starting with 2018) according to PwC.

“Augmented analytics tools will have the biggest impact on enterprises in the long run”, said Jim Hare, a Gartner analyst.

78% of C-level executives do not have a real-time view of inventory across their supply chain channels, with 50% of them believing they do not have the right platforms or technology in place to support expanded fulfillment options. Which one are you?

#smartfactory = connected factory. Therefore security risks pose greater threats in a smart factory than in a traditional facility and will only grow bigger as your smart factory grows to embrace suppliers and customers.

The U.S. Bureau of Labor Statistics state that workplace injuries and accidents that cause employees to miss six or more days of work cost U.S. employers nearly $62 billion or more than $1 billion per week spent on the most

Total QA is seriously interesting and until last year only talked about. Now with advancement in Autonomous Machine Vision, Total QA is not just a concept – it can be realized by manufacturers themselves, and it can be implemented and realized value from very quickly.

While embarking on #smartmanufacturing manufacturers are confronted with the best strategy for Digital Transformation as this article (below) suggests.

Just came across this article (below) on balancing “reflexive” and “reflective” decision making. Since #codedataio started on #codaai to build it as a recommendation system for business decision making,

Gartner’s research predicted that people increasingly rely on the outcome of AI solutions. By 2022, 30% of consumers in mature markets will rely on AI to decide what they eat, what they wear or where they live, said the analyst firm.

CodeData is looking for a self-starting seasoned professional with managerial experience and a proven track record in B2B software sales.  

Do you get this question often – “How frequently will our customers use the analytics tool?” 

Based on the article here we could argue that the number of objects an average human can hold in working memory is 7 ± 2. Or maybe this number has gone up dramatically in this day and age – I have to remember at least 13 passwords at any point in time, and of different complexities and rules.