Progress Webinars

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The Business Impact of Predicting Unplanned Downtime: A Webinar with IDC

Ever wonder how you can predict unplanned downtime and unscheduled maintenance? And the impact it could have on your business? The key to using every asset to its fullest potential lies in successful digital plant operation. Watch this webinar with IDC Analyst Kevin Prouty and Progress VP of Strategy Mark Troester to learn more!

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From Labs to Production for Industrial IoT

Despite a growing adoption of the Industrial Internet of Things, many businesses are still losing billions to unplanned asset downtime and equipment failures. Cognitive anomaly detection and prediction can help IIoT companies address this issue. To learn more, watch top machine learning and IoT influencer Ronald van Loon and Progress DataRPM Vice President of Product Ruban Phukan explore the topic.

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How to Mobilize Your EHR Information Quickly and Securely

The digitization of patient information into electronic health records (EHRs) has unlocked new opportunities to better serve patients. However, this data is often difficult to access. In this webinar, Niko Skievaski, co-founder and president of Redox, and Jikku Venkat, VP of Product for Kinvey at Progress, show you how to strip away all the archaic complexity and leverage your patient information to deliver better app experiences.

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Five Things Every Healthcare CIO Needs to Know to Accelerate Health Innovation

Digital innovation is attained via a combination of people, process and technology. This webinar will focus on the technology piece of the puzzle and will explain how Progress Health Cloud, which is based on the Kinvey serverless backend, can be used in conjunction with Redox’s EHR Integration Platform to provide a HIPAA-compliant innovation accelerator for your entire community.

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Why You Need an Enterprise Health Cloud

HIPAA-compliant enterprise health clouds enable all types of healthcare organizations to develop innovative digital experiences for users. With the right enterprise health cloud, organizations can get started with less investment and risk while achieving faster time to market with their applications.

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Build 5-Star, HIPAA-Compliant Apps—Despite Clunky EHRs 

Rigid systems of record and legacy solutions are one of the biggest obstacles that healthcare organizations encounter as they push to digitize operations. Watch this live demo to see how you can use Progress Health Cloud, which is based on the Kinvey serverless backend, to minimize integration complexity and build better patient and provider app experiences.

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Industrial-IoT

How Industrial IoT is Influenced by Cognitive Anomaly Detection and Prediction

The Industrial IoT sector is facing maintenance challenges related to their data processes. Traditional methods of anomaly detection aren’t providing the right solutions for every entity, which is why Cognitive Anomaly detection is filling the gaps in predictive maintenance.

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Monetizing-IIoT

Monetizing IIoT with Cognitive Anomaly Detection and Prediction

The Industrial Internet of Things (IIoT) presents a huge opportunity for businesses, and it’s only getting bigger. Gartner predicts that by 2020, the number of IIoT-powered devices will reach 20.8 billion and they’ll be producing trillions of gigabytes of data. Cognitive anomaly detection and prediction can help businesses monetize this wealth of data and drive meaningful change throughout their operations.

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Digital Innovation in Healthcare at Thomas Jefferson University

Jefferson Health is one of the many organizations in the healthcare space that is capitalizing on new tools and technologies to drive digital innovation across the board. In this webinar, Jefferson’s Neil Gomes discusses how his team works to make the healthcare experience more patient-centric, agile and responsive.

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Future Proofing

Future Proofing Asset Failures With Cognitive Predictive Maintenance

The array of connected automotive industrial assets generate mass volumes of operational data. This data can be effectively tapped to map out potential risks using cognitive predictive maintenance which can convey this insight to automotive industrial asset experts. By applying machine learning to operational data generated by critical factory & automotive assets, OEMs can gain greater insights into these risk creating factors.

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Uncovering Machine Secrets

Uncovering Machine Secrets In Factory Floor Using Data

Manufacturers are constantly battling 24*7*365 days to ensure zero downtime. But the reality of the unpredictable nature of machines often puts manufacturers in a tight spot. Having a laser sharp, focused analytics on factory utilization, manufacturers can have a real-time status check on machines and respond to failures much ahead of time.

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Building Data Products

Building Data Products for Predictive Maintenance

In continuation with our “Productizing your Data” Webinar Series, you can watch on-demand our third webinar “Building data products for predictive maintenance” featuring Cognitive Computing veteran, Dr.Kirk Borne, Principal Data Scientist, Booz Allen Hamilton and Ruban Phukan, Co-Founder and Chief Products and Analytics Officer, DataRPM.

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Cognitive Approaches

Demystifying Cognitive Approaches to Predictive Maintenance: Part 1

McKinsey Global Institute predicts that by 2025 the Internet of Things will generate up to $11 trillion in value to the global economy. As companies compete with exploding volumes of data from sensors, the world of industrial analytics seems dominated by buzzwords rather than large scale implementations.

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Productizing Big Data

Productizing Big Data to Create Business Value

This is the third episode in our "Productizing Your Data" webinar series—“Building Data Products for Predictive Maintenance”—featuring cognitive computing veteran Dr.Kirk Borne, Principal Data Scientist Booz Allen Hamilton and Ruban Phukan, Co-Founder and Chief Products and Analytics Officer, DataRPM.

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Recommendations And Predictions

Building Data Products For Recommendations And Predictions

Second in our “Productizing Your Data” webinar series is “Building Data Products for Recommendations and Predictions” with Robby Thomas, Solution Architect, Amazon Internet Services and Ruban Phukan, Co-Founder & Chief Products and Analytics Officer, DataRPM.

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Event Signals

Industrial IoT & Failure Prediction on Event Signals | Part 1

This is Part 1 in our three-part webinar series, "Industrial IoT & Failure Prediction on Event Signals." This series will highlight how companies can seize the opportunity to monetize the trillion-dollar opportunity in IIoT by “connecting the unconnected” for cognitive insights. These cognitive insights from real time sensor/machine data can empower companies to achieve ground-breaking results in plant efficiency, improved productivity and digital readiness for smart factories.

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Automotive Paint Shops

Rebooting Operational Excellence in Automotive Paint Shops Using Analytics

Aging infrastructure and raw material price volatility often put automakers in a tight spot when looking for radical ways to reduce operational costs. With a powerful nexus of forces such as IoT, IIoT and machine learning, automakers stand at the brink to experience not just incremental but transformational benefits.

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Improving Outcomes for Substance Abuse Treatment

Substance abuse is one of the fastest growing health problems we face today. In this webinar, Sean Gunderson (co-founder at iTether), Joe Corkery (Healthcare Product Management at Google Cloud Platform) and Jikku Venkat (VP of Product for Kinvey at Progress) discuss how mobile can transform addiction treatment and drive better outcomes. 

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For Pharma: Innovation in Patient Reported Outcomes

Patient-reported outcomes (PRO) are vital for assessing how a patient is doing over time and can be used to evaluate health-related quality of life (HRQOL), treatment evaluation and symptom reduction. In this webinar, Marc Porter (Managing Director of Healthcare at IOMEDIA), Joe Corkery (Senior Product Manager at Google Cloud Platform) and Jikku Venkat (VP of Product for Kinvey at Progress) discuss how patient-centric apps can be used to dramatically improve PRO.

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For Providers: Innovation and Digital Health Acceleration

The bar for user experiences is constantly being raised, and healthcare providers must keep up with growing expectations. In this webinar, Carla Small (Boston Children’s Hospital Digital Innovation and Digital Health Accelerator), Joe Corkery (Healthcare Product Management at Google Cloud Platform) and Jikku Venkat (VP of Product for Kinvey at Progress) discuss how to harness—and scale—digital innovation across your provider community to drive better results.

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