Thinking about Think 2018: Top 3 Maximo Takeaways

By | 4 minute read | April 5, 2018

Anyone that has attended a big conference in Las Vegas knows that it takes at least a week to recover and get back into a normal work pattern. Between the sessions, customer/partner meetings,  long flights, and all that is Vegas (the rich food gets me every time), you come home needing a vacation.   If you were one of the 34,000 + attendees of Think 2018, my guess is that you suffered the same issue.  The point is that I have finally been able to stabilize enough to put some thoughts together.

If you were a Maximo-centric attendee like me, it was easy to become overwhelmed. With information overload on topics like blockchain, AI, cloud, data security, and IoT,  staying focused on just Maximo was a test of will.  Determination and planning paid off, as you would have been treated to some excellent sessions. Sessions such as Terry O’Hanlon’s “Supercharge your EAM system” or Schiphol Airport’s session on using Maximo and IoT.  You did have to get their early as their sessions sold out. But this was a testimony to the content as well as the interest level from the Maximo attendees.

In reflecting back on the conference, there were three impactful takeaways as it relates to where Maximo and enterprise asset management are headed.

1) The importance of clean data

Walking throughout the conference halls, listening to conversations at various peds, or catching snippets of the town hall presentations, there were amazing stories of how IBM analytics, primarily Watson, can or were uncovering data “gold”. More importantly, customers were using this data to make impactful decisions about their businesses, customers, employees, constituents, etc.…

Discussed less was the state of the data prior to analyzing. These tools do an awesome job of correlating unrelated data, but bad data gives you bad results. How do you know if you have good, bad or ugly data?  This is why we offer our customers an easy Data Management solution to cleanse and enrich their data in a way that allows them to leverage these new analytics tools.

2) The importance of mobile

Over the past couple months and while at Think, I had the opportunity to meet several Samsung executives.  We were discussing the release of their new Tab Active2 that is geared specifically for industrial type settings.  We discussed how mobility for maintenance operations is the gateway to IoT and Advanced Analytics.

Capturing the right data at the point of performance – enforcing data value capture – provides the foundation for advanced analytics.  With current paper-driven systems, it is common to find closed out work orders with nothing more than “job done”.   Can you imagine Spock telling Captain Kirk – “Captain, in reviewing the maintenance logs for the warp drive, systems were down, but corrections have been made in the form of ‘job done’.  We are clear for hyper drive.”

Yet that is what many organizations do. They fail to capture basic information around failure, cause and remedy on their most critical assets and components.  Mobility apps such as Maximo Anywhere can enforce rules to get the information you need to feed the analytics that can provide true insight.

One more point on mobile that I was able to glean from the conference.  In listening to Ginni Rometty’s keynote address, Verizon CEO Lowell McAdam, put forth the provocative concept that the new 5G networks will usher in the fourth Industrial revolution.  The promises of the 5G platform are:  instantaneous availability of data (gigabits of data!) and extended battery life and charge. Imagine only having to charge your phone once per month!  There will be no excuse not to have mobility in the plant!

 3) Think Big, Start Small

It was amazing to see the vision and, in some cases, the reality of what can be done with all the available tools. For instance, in talking with Skip Snyder, VP and Partner of IBM’s IoT and Asset Management Optimization practice, he shared with me the cool things his team was working on and deploying. One such solution was IBM’s IoT Equipment Advisor, which assists in diagnostics to make repair recommendations with the highest probability of success.  In short, the solution digests multiple sources of information.  It takes data from Maximo current/future repair information, asset manuals, sensor readings, checklists, industry blogs, videos, etc.… It then uses cognitive capabilities to predict failures and prescribe resolution.  All I can say is Wow! The ability to do this on structured and unstructured data is unprecedented.

The challenge many companies face initially is simply trying to get Maximo in order. Adding cognitive capabilities for them now would be challenging as they are still addressing the first step.  Start small with an eye toward the big picture.  Start by leveraging “connected maintenance” –information that is already being generated by sensors on your current assets and getting that into Maximo.

Learn more about data management with Maximo

Our current solution augments Maximo and makes data capture straightforward, scalable, quick and cost effective.  The barriers to solving this issue have fallen and it is one of the best ways to capture clean, real-time data that can later be used when you are ready for the more complex and extensive analytics.

Ready to learn more? Meet Aquitas Solutions at the Maximo Utility Working Group in Houston, April 16-19.

Read more about key takeaways from each day of Think.