Insurance AI and Innovative Tech USA

As our lives become hyper-connected and customer expectations increase, the imperative on insurance carriers to deliver automated services with a 360° customer view is increasing. It is also now undeniable that AI machine learning and other innovative technologies are the only means through which insurance carriers will be able to meet customer demands at scale, whilst ensuring they remain efficient and profitable.

Insurance AI and Innovative Tech USA 2020 (May 12– 13, Chicago) will bring together innovation and business unit executives to take full control of embedding technologies, exploring how leveraging technologies such as AI, IoT, blockchain and automation can help create valuable, relevant insurance products and services, delivered with a seamless experience.

Join this industry-leading summit for exclusive insights on:

- Implement new technologies such as AI, Chatbots, Automation: Learn real-life examples of how insurance carriers connect new technologies with their traditional systems

- Going from a tech and data working to driving business outcomes: How to demonstrate the benefits of using AI and machine learning including greater unparalleled insights into your customer behaviors

- Improve product design, distribution & CX: Enhance the customer experience using chatbots, and use AI to put contextual, personalized products in front of your customers

- The future of insurance: enhance the role of insurance in customers’ lives by moving from risk-mitigation to risk-reduction in a hyper-connected environment

- Create an innovation engine within your organization: induce a culture of forward-thinking innovation throughout and remove internal friction by streamlining transformation initiatives enterprise-wide

Predictive Analytics World – Five-Conference Event in Vegas, June 2020

In 2020, there will be one Predictive Analytics World multi-event in the US: Machine Learning Week (formerly Mega-PAW), May 31 – June 4, 2020 in Las Vegas. This premier event will feature five (5) conferences at once: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, and Deep Learning World.

Predictive Analytics World is the leading cross-vendor conference covering the commercial deployment of machine learning and predictive analytics. It is THE business event for predictive analytics professionals, managers, and practitioners, covering today's commercial deployment of predictive analytics and machine learning, across industries and across software vendors. The conference delivers case studies, expertise and resources to achieve four objectives:

• The Best of Data Science: Deliver on the promise of machine learning
• Bigger Wins: Strengthen the business impact delivered by predictive analytics
• Broader Capabilities: Establish new opportunities with predictive analytics

Machine Learning Week 2020 in Las Vegas is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers: A. Charles Thomas, Chief Data & Analytics Officer at GM; Gil Arditi, Product Lead, Machine Learning at Lyft; Jen Gennai, Head of Responsible Innovation, Global Affairs at Google; Jennifer Priestley, Professor of Applied Statistics and Data Science at Kennesaw State University; Richard Lee, Sr. Data Scientist at Manulife, Victor Lo, Vice President at Fidelity Investments; plus a special plenary session from Dr. John Elder, Ph.D., Founder and Chair of Elder Research.

PAW Business Las Vegas 2020 will feature over 40 sessions with case studies across 5 track topics: 1) Business; 2) Tech; 3) Case Studies; 4) Data; and 5) Deployment – so you can witness how predictive analytics is applied at leading enterprises. For more info, see https://www.predictiveanalyticsworld.com/business/2020/

PAW Financial Las Vegas 2020 features 20 sessions – witness how machine learning and predictive analytics are applied for financial services. For more info, see https://www.predictiveanalyticsworld.com/financial/2020

PAW Healthcare Las Vegas 2020 program will feature sessions and case studies across Healthcare Business Operations and Clinical applications so you can witness how data science and machine learning are employed at leading enterprises and resulting in improved outcomes, lower costs, and higher patient satisfaction. For more info, see https://www.predictiveanalyticsworld.com/health/2020/

Deep Learning World Las Vegas 2020 is the premier conference covering the commercial deployment of deep learning. The event’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods. For more info, see https://www.deeplearningworld.com

PAW Industry 4.0 Las Vegas 2020 is the leading vendor-neutral conference for machine learning for smart manufacturing and IoT. Data scientists, industrial planners, and other machine learning experts will meet in Las Vegas May 31-June 4, 2020 to explore the latest trends and technologies in machine & deep learning for the IoT era. For more info, see https://www.predictiveanalyticsworld.com/industry40/2020/
WORKSHOPS: PAW Las Vegas also features ten (10) full-day pre- and post-conference training workshops that complement the core conference program. Workshop details can be found at: https://www.predictiveanalyticsworld.com/machinelearningweek/workshops/.

Join Machine Learning Week in Las Vegas and access the best keynotes, sessions, workshops, vendor exposition, expert panel, live demos, networking coffee breaks, networking lunches, reception, brand-name enterprise leaders, and industry heavyweights in the business.

Articles and blog entries about PAW can be found at pawcon.com/pressroom.php

ASSESS AND SELECT THE RIGHT TECHNOLOGIES. Meet the industry’s top solutions providers, discover new solutions, and compare vendor offerings. The Predictive Analytics World Expo Hall is the best place to research and identify new vendor/partner prospects.

COLLEAGUES. Mingle, network and hang out with the industry’s best and brightest. Exchange experiences over lunch, coffee breaks and the conference reception to connect with people who face the same challenges as you.

GET STARTED. If you're new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there's no better place to get your bearings than Predictive Analytics World. See what other companies are doing, experience vendor demos, participate in discussions with the experts, network with your colleagues, and weigh your options!

Three ways to save:

1. Super Early Bird Registration by December 6, 2019 and save up to $900.00

2. Take $150 off the Early Bird or the Advance Two Day Pass registration fee with this posting's promotional discount code: MAA150.

3. Save an additional $200 on the 2 Day Pass for each additional attendee from the same company registered at the same time.

More Information: https://www.predictiveanalyticsworld.com/machinelearningweek/

Register: https://www.predictiveanalyticsworld.com/machinelearningweek/registration/

To sign up for the PAW group on LinkedIn, see: www.linkedin.com/e/gis/1005097

Follow PAW on Twitter: http://twitter.com/pawcon/

For inquiries e-mail marketing@risingmedia.com or call 717-798-3495.

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Business Process Modeling, Development, and Support (BPMDS'2020)

The topics addressed by the BPMDS series are focused on business processes and their IT support. One of the major aims is to discuss and to learn about concepts and techniques to enhance the ability to engineer software systems closer the business requirements.

Since 2012, a special issue is organised per year in the International Journal on Software and Systems Modeling (SoSyM) with the extended papers invited from the BPMDS working conference.

The *Business Process Modeling, Development and Support (BPMDS)* working conference has been held for two decades, dealing with and promoting research on BPMDS, and has been a platform for a multitude of influential research papers. In keeping with its tradition, the working conference covers a broad range of theoretical and application-based research on BPMDS.

This year’s topic theme “BPM meets data” follows the emergence of data science as a prominent area, and is thus investigating various aspects of the relations between processes and data. These relations can be viewed along the business process life-cycle:
- Designing and modeling data-aware processes
- Integrating and incorporating different kinds and sources of data in process execution environments (IOT, blockchain, network traffic)
- Monitoring, assessing performance and conformance, and predicting the outcomes of running processes using the data they generate
- Creating process models from various sources of data through process discovery

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