Greetings of the day!
A year back i saw a video of Steve Singh, he was talking on the context of "micro-services" and how large technology companies want to leverage that to have more customers and more importantly more revenue/customer.
That's when we started to work on our Energy Efficiency Micro-Services Hub (releasing on 8th September, 2017 on the sidelines of #EDASummit17). We open up our existing IPs (via APIs) as we continue to focus on developing more such IPs.
Interestingly our first #B2B engagement based (Cement Sector) on #API pricing has got a green signal. Our efforts of enabling more value creation in the #IoT ecosystem gets a boost and encourages us to continue to take our top of the value chain approach.
I look forward to seeing you at #EDASummit17 and having an engaging discussion. Visit www.haveyouAIRed.com for more details/registration.
Over last two months we have been engaged by two big companies from Textile and Automobile sector to dig deep into their data assets (Energy, Production, Process) and conduct a detailed data discovery process. Background being that both the organisations wanted to find out ways in which data could support their decision of improving #EnergyProductivity.
Though they were not completely aware about the sort of insights/ benefits the data discovery process could bring to them but they still wanted to do it with an open mind and without any possible constraints.
Because of the way in which #DataAnalytics has been sold to companies, their ability to look at the use cases is getting restricted to what’s being sold to them. Forward looking organisations are wanting to do more, develop their share of process driven IPs that could give them competitive advantage and be able to innovate on use cases. It is this approach that is letting some of these companies get the right strategy in place, implement solutions that fit their requirements and more importantly generate much more economic value out of their data assets than they would have been able to do otherwise.
I am afraid that we do not have enough businesses/companies investing in the #Data discovery process. Last year i had release series of Podcasts on use of Data Analytics in driving Energy Productivity improvement and better Energy Management practices in Industries. One of the important areas i touched upon was the link between Change Management and adoption of data driven processes in assessing, reporting and managing energy performance!
Once businesses are able to overcome legacy issues, challenge their conventional approach they would be in a position to embrace #Data and make the best of use of emerging technologies/techniques.
What is your take on it? Would love to hear on your experience.
Electric motors/motor driven systems consume 50-60% of Industrial electricity consumption and most industries generate huge data related to motor performance and maintenance, with Engineering/Maintenance department taking measurements of basic parameters etc.
Question is is your organization converting that data to insights that has potential to:-
- Guide on possible energy efficiency interventions?
- Advise on predictive maintenance of motors, avoid productivity losses?
E-Cube Energy has launched www.motor-tool.com that allows you to maintain all data pertaining to motor performance and maintenance on a #SaaS based cloud platform, accessible from anywhere.
Platform is simple but powerful in a way that it has the potential to disrupt the way industries look at managing all the unorganized data (related to motor performance/maintenance). Essentially allowing industries to organize data, store it centrally and analyse on the plattform to have insights that otherwise was not available!
We are providing free accounts to industries for configuration of 10 motors (For 3 Months Usage). To sign up for your Free account visit www.motor-tool.com