BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ChamberMaster//Event Calendar 2.0//EN METHOD:PUBLISH X-PUBLISHED-TTL:P3D REFRESH-INTERVAL:P3D CALSCALE:GREGORIAN BEGIN:VEVENT DTSTART:20190412T163000Z DTEND:20190412T180000Z X-MICROSOFT-CDO-ALLDAYEVENT:FALSE SUMMARY:Analytics & Insights Forum - April 12 DESCRIPTION:Managing bias in data sets\n\n\n\nModerator: Daniel Engels\, professor of practice\, SMU dept. of computer science and engineering\n\nPanelists: Pradyot Prasoon\, director of emerging technologies & technology strategies\, American Heart Assoc.\n\n Hettie Tabor\, director of masters of science in business analytics\, SMU\n\n Dwayne Paschall\, data scientist - machine learning and AI\, IDEXX\n\n Kalyana Chakravarthy Bedhu\, head of AI and data innovation\, Ericsson Group Analytics\n\n Brooks Fitzsimmons\, AVP of data insights\, AT&T\n\n\n\nThe significant challenge of bias in data sets and particularly data sets used to train AI is no secret. We know that AI\, machine learning and deep learning can produce not only inaccurate but potentially disastrous results if training sets are left unchecked. Bias isn't just a bad data set but can also be the algorithm itself. Optimizing the AI algorithm and constructing data sets to avoid bias go hand in hand. AI holds significant power to improve the way we live and work\, but only if AI systems are developed and trained responsibly\, and produce outcomes we can trust. In this session we will discuss:\n\n\n Understanding how bias (implicit and unconscious) often makes it into data sets\n How to identify bias in a dataset\n Strategies to address and extrapolate bias in data sets\n Bias in data sets vs bias in the training sets and algorithms themselves\n How to avoid perpetuating biases\n\nModerator:\n\nDaniel Engels is an associate professor of practice in the department of computer science and engineering at SMU. He is a pioneer in the development of RFID and IoT technologies\, and one of the architects of the EPC system that is deployed in the U.S. DoD and retail supply chains worldwide. Prior to SMU\, he was the CTO of Revere Security Corporation\, a startup founded to secure the extreme edge of the networked world\, such as RFID tags and the IoT. He is the former research director of the Auto-ID Labs at MIT. \n\n\n\nPanelists:\n\nPradyot Prasoon is the director of emerging technologies and technology strategy at the American Heart Association. He leads the association's emerging business and health strategies to accelerate health impact at the intersection of science\, data\, analytics\, and technology. He works on developing strategic partnerships and relationships both internally and externally with a panel of volunteers\, partners\, and cross-functional collaborators in helping create a marketplce of healthcare solutions for advancing AHA's mission.\n\n\n\n\n\n\n\nHettie Tabor is the director of the master of science in business analytics program at SMU Cox. She is a seasoned senior executive with over 26 years of experience with Accenture in information technology including 21 years of practical SAP implementation experience and 20 years of analytics experience where she ran Accenture's SAP Business Analytics Global Practice prior to joining SMU five years ago.\n\n\n\nDwayne Paschall is a data scientist - machine learning and AI at IDEXX. His background is in time series signal enhancement and perceptual processing of sensory data by the human brain\, i.e.\, biological neural networks. This data is similar to other times series domains such as financial times series and custom and patient data over time. He uses this data to make decisions\, optimize processes\, and improve products and services. He engineers features for both human and machine learners and teaches them both to become experts in data interpretation. This helps people to make important data-driven decisions\, prove their intuitions\, predict the future\, and optimize outcomes and processes through insightful application of data science. His focus is in the healthcare\, financial services\, energy\, and marketing industries.\n\n\n\nKalyana Chakravarthy Bedhu is head of AI and data innovation at Ericsson Group Analytics. He is a leader in the expansion of data sciences at Ericsson\, establishing a data science lab and building competence in solving practical data science problems. His team serves Ericsson's enterprise business intellignce by defining\, building\, prototyping and industrializing cross-department data science use cases leading to meaningful business solutions. He is an award-winning author\, the recipient of multiple patents\, a frequent speaker\, and the developer of data science courses. His team won the CiMi.CON award for market intelligence products and Top Performance - Innovation of the Year Award at Ericsson in 2018. \n\n\n\n\n\n\n\nT. Brooks Fitzsimmons\, assistant vice president of data insights\, chief data office at AT&T\, drives the strategy and execution of artificial intelligence and machine leaning solutions for the AT&T business organizations as well as delivers digital assiatance capabilities across AT&T CommCo. Prior to this\, he was responsible for national security and emergency preparedness policy\, planning\, and operations for AT&T. He also oversaw network regulatory strategy and compliance for AT&T network operations. He also drove AT&T's transition of IP data products and services towards IPv6. He served as AVP - service delivery for AT&T's hosting & application services. Before the merger with AT&T\, he managed customer care centers that provisioned and maintained SBC's enterprise IP/MPLS products. X-ALT-DESC;FMTTYPE=text/html:

Managing bias in data sets
\n
\nModerator: \; Daniel Engels\, professor of practice\, SMU dept. of computer science and engineering
\nPanelists: \; Pradyot Prasoon\, director of emerging technologies &\; \;technology strategies\, American Heart Assoc.
\n \;  \;  \;  \;  \;  \;  \;  \;  \;  \;Hettie Tabor\, director of masters of science in business analytics\, SMU
\n \;  \;  \;  \;  \;  \;  \;  \;  \;  \;Dwayne Paschall\, data scientist - machine learning and AI\, IDEXX
\n \;  \;  \;  \;  \;  \;  \;  \;  \;  \;Kalyana Chakravarthy Bedhu\, head of AI and data innovation\, Ericsson Group Analytics
\n \;  \;  \;  \;  \;  \;  \;  \;  \;  \;Brooks Fitzsimmons\, AVP of data insights\, AT&\;T
\n
\nThe significant challenge of bias in data sets and particularly data sets used to train AI is no secret. \; We know that AI\, machine learning and deep learning can produce not only inaccurate but potentially disastrous results if training sets are left unchecked. \; Bias isn'\;t just a bad data set but can also be the algorithm itself. \; Optimizing the AI algorithm and constructing data sets to avoid bias go hand in hand. \; AI holds significant power to improve the way we live and work\, but only if AI systems are developed and trained responsibly\, and produce outcomes we can trust. \; In this session we will discuss:

\n\n\nModerator:
\nDaniel Engels is an associate professor of practice in the department of computer science and engineering at SMU. \; He is a pioneer in the development of RFID and IoT technologies\, and one of the architects of the EPC system that is deployed in the U.S. DoD and retail supply chains worldwide. \; Prior to SMU\, he was the CTO of Revere Security Corporation\, a startup founded to secure the extreme edge of the networked world\, such as RFID tags and the IoT. \; He is the former research director of the Auto-ID Labs at MIT. \; \;
\n
\nPanelists:\n\n

Pradyot Prasoon is the director of \;emerging technologies and technology strategy at the American Heart Association. \; He leads the association'\;s emerging business and health strategies to accelerate health impact at the intersection of science\, data\, analytics\, and technology. \; He works on developing strategic partnerships and relationships both internally and externally with a panel of volunteers\, partners\, and cross-functional collaborators in helping create a marketplce of healthcare solutions for advancing AHA'\;s mission.
\n
\n
\n
\nHettie Tabor is the director of the master of science in business analytics program at SMU Cox. \; She is a seasoned senior executive with over 26 years of experience with Accenture in information technology including 21 years of practical SAP implementation experience and 20 years of analytics \;experience where she ran Accenture'\;s SAP Business Analytics Global Practice prior to joining SMU five years ago.
\n
\nDwayne Paschall is a \;data scientist - machine learning and AI at IDEXX. \; His background is in time series signal enhancement and perceptual processing of sensory data by the human brain\, i.e.\, biological neural networks. \; This data is similar to other times series domains such as financial times series and custom and patient data over time. \; He uses this data to make decisions\, optimize processes\, and improve products and services. \; He engineers features for both human and machine learners and teaches them both to become experts in data interpretation. \; This helps people to make important data-driven decisions\, prove their intuitions\, predict the future\, and optimize outcomes and processes through insightful application \;of data science. \; His focus is in the healthcare\, financial services\, energy\, and marketing industries.
\n
\nKalyana Chakravarthy Bedhu is head of AI and data innovation at Ericsson Group Analytics. \; He is a leader in the expansion of data sciences at Ericsson\, establishing a data science lab and building competence in solving practical data science problems. \; His team serves Ericsson'\;s enterprise business intellignce by defining\, building\, prototyping and industrializing cross-department data science use cases leading to meaningful business solutions. \; He is an award-winning author\, the recipient of multiple patents\, a frequent speaker\, and the developer of data science courses. \; His team won the CiMi.CON \;award for market intelligence products and Top Performance - Innovation of the Year Award at Ericsson in 2018. \; \;
\n
\n
\n
\nT. Brooks Fitzsimmons\, assistant vice president of data insights\, chief data office at AT&\;T\, drives the strategy and execution of artificial intelligence and machine leaning solutions for the AT&\;T business organizations as well as delivers digital assiatance capabilities across AT&\;T CommCo. \; Prior to this\, he was responsible for national security and emergency preparedness policy\, planning\, and operations for AT&\;T. \; He also oversaw network regulatory strategy and compliance for AT&\;T network operations. \; He also drove AT&\;T'\;s transition of IP data products and services towards IPv6. \; He served as AVP - service delivery for AT&\;T'\;s hosting &\; application services. \; Before the merger with AT&\;T\, he managed customer care centers \;that provisioned and maintained SBC'\;s enterprise IP/MPLS products.

\n LOCATION:Ericsson 6300 Legacy Dr. Plano 75024 UID:e.9090.4492 SEQUENCE:3 DTSTAMP:20260418T091004Z URL:https://business.techtitans.org/events/details/analytics-insights-forum-april-12-4492 END:VEVENT END:VCALENDAR