HOME ABOUT SPEAKERS REGISTER

Who doesn’t want to make prudent decisions when it comes to Enterprise Assets Management (EAM) investments? Today, the rapid changing era calls for supercharging your asset performance to balance efficiency and innovation.

Thanks to IoT and AI, which are taking enterprise asset management to new highs and prompting us to eye solutions that help accelerate productivity of our current asset.

According to IDC, the overall enterprise asset management market is likely to touch $2.04 billion by 2020 globally, at a compound annual growth rate of 4.4%.

As equipment’s we manage become more sophisticated, new tools and processes will be required to maximize their performance and value. The challenges to use IoT data and AI effectively to manage the assets, predict failure, extend asset life-cycles and improve worker safety are pervasive across industries.

However, to achieve this, it is vital to build foundational capability in capturing asset hierarchy accurately, capture maintenance work done, conduct root cause for failure by capturing failure modes, capture skills required and manage safety requirements.

For a journey to an effective Asset Performance Management, Join The Economic Times Live Webinar powered by IBM, and get to know about asset health optimization, monitoring of asset condition, predictive insights – using analytics and data about asset condition to predict failure etc.

The webinar will focus on tools and techniques required to manage breakdown, preventive and predictive maintenance.

Key Takeaways:


SPEAKERS
Seshagiri Nidamarty
Pankaj S Jain
Sr. Technical Manager, IBM Maximo and TRIRIGA Software Solutions,
IBM India and South Asia Software Sales
Neeraj Pal Singh
Vinod K Boggarapu
Sr. Business Manager, IBM Watson IOT,
IBM, ISA
REGISTER

*T&C apply
  • You should be pre-registered online for the webinar
  • You must attend the full webinar
  • You must reply to all poll questions/feedback, if any.
  • Follow ET-edge social media page when you received thank you mail.
  • The gift will be sent to your office address within 30 days after the last webinar of the series