1. Machine Learning and AI: The Impact on Work
Richard Culatta – Masie Center
Mark Wagner – The Hartford
Casper Moerk - Siemens
Suzanne Mulder - Bloomberg
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2. AI Anonymous Artificial Intelligence
Computer systems perform tasks normally requiring human intelligence
Machine Learning
Algorithm or model that learns patterns in data and then predicts in new data.
Deep Learning
Subset of Machine Learning; mimics activity in the brain where thinking occurs
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3. The Hartford - Workers Compensation Re-imagined
YMQC2355
Nathan Bateman
Male, 42 yrs. old
TEDDY BEAR UPHOLSTERY INC
Texas Headquarters
California Jurisdiction
Compensability Accepted
Claim Status: Open (duration)
Reassigned / Reopened:
INJURED
WORKER
INSURED
PROVIDER & TREATMENT
Brain: Unrelated
Elbow Contusion: Accepted
Primary*
4/4/2014
Foot Contusion: Under Investigation
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4. The Augmented Capabilities
Empathy and Communication
Creativity and Collaboration
Critical Thinking/Problem Solving
Technology Management and Maintenance
Strategy
Imagination and vision
Physical Skills
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5. https://youtu.be/QyLrAXeb7Yo
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6. Preparing Employees for the Evolution of Work
McKinsey projects that 14% of the population may need to switch occupations by 2030* due to these changes in technology.
*Retraining and reskilling workers in the age of automation, published by the McKinsey Global Institute, January 2018
Preparing Employees for the Evolution of Work
What is the role of Learning & Development?
Help our leaders clarify the specific skills needed for evolving roles.
(i.e. It’s not just ‘More Technical!’)
2. Create a strategy to upskill existing employees and Leaders.
3. Understand the implications of AI and Machine Learning, particularly as they apply to hiring and performance measurements. They have the potential to have both positive and negative impacts.
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7. Industry Definitions are Evolving*
Data Science Standards Board,
‘Sexiest Job’ Ignites Talent Wars as Demand for Data Geeks Soars, Bloomberg News, May 28, 2018
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8. Data Analyst of the Past Data Analyst of the Future
The evolving world of a DATA Analyst
Data Analyst of the Past
Data Analyst of the Future
Responsibilities:
Data Entry
Data Gathering & Formatting
Content Acquisition
Quality Control
Work item Management
Follows established processes and incrementally improves them
Responsibilities:
Create data structures/models
Utilize statistics to measure and explain data quality
Analyzes large datasets to identify patterns and trends
Analyze established processes and re-engineer them
Collaborate with Engineering, Core Business, News and/or BI on processes and/or premium content
Organize and analyze unstructured Content
Tech Skills
SQL, Python, Javascript, NLP, Machine Learning, QlikSense, Tableau, Data Modeling, Applied Statistics
Tech Skills
Excel, VBA
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9. © 2018 by The Hartford. Classification: Company Confidential
© 2018 by The Hartford. Classification: Company Confidential. No part of this document may be reproduced, published or used without the permission of The Hartford.
© 2018 by The Hartford. Classification: Company Confidential. No part of this document may be reproduced, published or used without the permission of The Hartford.