BUILD YOUR OWN
RESOURCE LIBRARY
Special Reports
SusHi Tech Tokyo 2024: experience ‘Tokyo 2050’ todaySponsored by The SusHi Tech Tokyo 2024 Showcase Program Executive Committee
Webinar: Connected intelligent assets: overcoming the data management challenge
Realising the benefits of connected intelligent assets and digital twin and predictive maintenance platforms relies on advanced data management and analytics. This webinar will look at the challenges faced in this area and how to overcome them.
Date:
21 September 2021
Time:
10am (EST), 2pm (GMT), 4pm (CET), 6pm (GST)
Length:
60 mins, including Q&A
Connected intelligent assets across cities, industries and sectors point the way to a more efficient, automated and low-maintenance future. Such assets enable far more informed decision-making, bring cost-savings and can address a city or organisation’s critical challenges, ultimately improving quality of life for citizens.
They can optimise performance and adapt to different operating conditions and can report on their own condition and performance. Increasingly, the use of digital twins and predictive maintenance technologies is empowering cities and organisations to further increase efficiencies by being proactive not reactive.
Realising the benefits of connected intelligent assets and digital twin and predictive maintenance platforms relies on advanced data management and analytics.
This webinar will look at the challenges faced in this area and how to overcome them.
Join Cloudera and IBM experts to find out how to:
- Leverage machine learning data lifecycles
- Enable digital twin and predictive maintenance platforms
- Overcome the barriers to entry
Speakers:
 |
Cindy Maike, VP Industry Solutions & Value Management Cloudera
Cindy is the VP of Industry Solutions & Value Management at Cloudera. In her role , she works with customers and partners leveraging analytics for current day business growth and exploring the usage of new data sources to drive innovation. She has over 25 years of finance, consulting and advisory services experience in the insurance, financial services and healthcare industries, working with clients globally on their business strategy and leveraging analytics and technology to further drive business results.
Cindy is passionate about solving business problems and strongly believes today’s next generation business intelligence in the form of advanced analytics, machine learning and augmented computing will have a significant impact on driving new business insights.
|
 |
Douglas O’Flaherty Global Ecosystem Leader IBM Storage
Doug leads solutions, alliances and sales for global growth initiatives. A five-year IBM storage veteran, he joined to grow software-defined storage and led product marketing before shifting to solutions in 2020.
Before IBM, Doug worked for Continuum MSP, Red Hat, and AMD in product management, marketing, and business development
|
|
|
Luke Antoniou Senior Editor SmartCitiesWorld
Luke has been reporting on the implementation of smart technologies that benefit the public and public sector for four years.
He has particularly keen interest in smart and sustainable mobility and its role in influencing the decisions of urban planners, citizens and governments alike. |
|
|
In association with:
AI and Machine LearningConnectivityConnectivity - SensorsConnectivity & DataDataData Centresdata privacydigital inclusionEditor's pickEnergyEnergy - RenewablesEnergy & EnvironmentFeature highlightsFeaturedLightingNetworkOpen DataPlanningRenewablesRoadSectorSecuritySensorssmart citiessmart grids
Latest City Profile
SmartCitiesWorld Newsletters (Daily/Weekly)
You may also like these related articles...
BECOME A MEMBER
© 2024 SmartCitiesWorld
Smart Cities World Ltd, 27 Clements Lane, London, EC4N 7AE