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Human-Centric Algorithmic Design For Data Analytics
Brian O’Neal, Founder of Designing for Analytics and Host of Experiencing Data Podcast based in the United States, participates in Risk Roundup to discuss Human-Centric Algorithmic Design for Data Analytics.
Risk Roundup Webcast: Human-Centric Algorithmic Design For Data Analytics
Human-Centric Algorithmic Design for Data Analytics
The digital
age has brought enormous growth of digital data from everyone and everywhere. While
this brings each nation and its components a newfound ability to design necessary
products & experiences for this new digital age, there is a need to find a new
sense of human-centric focus and balance.
The reason is that algorithms are incorporated into systems for increasingly diverse purposes and permeate numerous facets of the daily life of everyone, individuals, and entities across nations: its government, industries, organizations, and academia.
Since
the people who define the systems, design the systems and build them and users
who use them come from different backgrounds and skillsets, understandably, these
systems’ results are often interpreted differently by the designers who created
them than by the users who interact with them.
Since
algorithms are designed to perform, it is crucial to understand and evaluate:
- What
are the common reasons why many of the data analytics projects fail?What
are the different ways algorithm design could become more human-centered?What
are the strengths and challenges of the human-centric approach?Who
and what drives the process of an algorithm?What
criteria are used to define, design, develop, and deploy the algorithm? What
metrics are used to measure the performance of algorithms?
While an algorithm’s designers do not necessarily want others to understand how they design the algorithm, what is the data input, where the data comes from, what code controls the performance, and how the algorithm design will work, it is essential to reach a consensus on what it means for its output and outcome. The time is now to evaluate the need for human-centric algorithmic design for data analytics.
For more, please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast
About the Guest
Brian O’Neal is the Founder
of Designing for Analytics based in the United States. He is also the Host of
Experiencing Data Podcast. He helps product leaders and data strategists
innovate by applying human-centered design to data science and analytics.
About the Host of Risk
Roundup
Jayshree Pandya (née Bhatt), Ph.D., is a leading expert at the
intersection of science, technology, and security and is the Founder and Chief
Executive Officer of Risk
Group LLC. She has been involved in a wide range of
research, spanning security of and from science and technology domains. Her
work is currently focused on understanding how converging technologies and
their interconnectivity across cyberspace, aquaspace, geospace, and space
(CAGS), as well as individuals and entities across nations: their governments,
industries, organizations, and academia (NGIOA), create survival, security, and
sustainability risks. This research is pursued to provide strategic security
solutions for the future of humanity. From
the National Science Foundation to organizations from across the United States, Europe, and Asia, Dr. Pandya is an invited speaker on emerging technologies,
technology transformation, digital disruption, and strategic security risks. Her work has contributed to more than 100 publications in
the areas of science and commerce. She is
the author of the books, Geopolitics
of Cybersecurity and The Global Age. She writes about Artificial Intelligence on Forbes.
About Risk Roundup
Risk Roundup, a global
initiative launched by Risk Group, is a security risk reporting for risks
emerging from existing and emerging technologies, technology convergence, and
transformation happening across cyberspace, aquaspace, geospace, and space.
Risk Roundup is released in both audio (Podcast) and video (Webcast) format and
is available for subscription at (Risk Group Website, iTunes, Google Play, Stitcher Radio, Android, and Risk Group
Professional Social Media).
About Risk Group
Risk Group is a leading strategic security risk
research and reporting organization.
Copyright Risk Group LLC. All Rights Reserved
The post Human-Centric Algorithmic Design For Data Analytics appeared first on Risk Group.
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By Risk Group
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Brian O’Neal, Founder of Designing for Analytics and Host of Experiencing Data Podcast based in the United States, participates in Risk Roundup to discuss Human-Centric Algorithmic Design for Data Analytics.
Risk Roundup Webcast: Human-Centric Algorithmic Design For Data Analytics
Human-Centric Algorithmic Design for Data Analytics
The digital
age has brought enormous growth of digital data from everyone and everywhere. While
this brings each nation and its components a newfound ability to design necessary
products & experiences for this new digital age, there is a need to find a new
sense of human-centric focus and balance.
The reason is that algorithms are incorporated into systems for increasingly diverse purposes and permeate numerous facets of the daily life of everyone, individuals, and entities across nations: its government, industries, organizations, and academia.
Since
the people who define the systems, design the systems and build them and users
who use them come from different backgrounds and skillsets, understandably, these
systems’ results are often interpreted differently by the designers who created
them than by the users who interact with them.
Since
algorithms are designed to perform, it is crucial to understand and evaluate:
- What
are the common reasons why many of the data analytics projects fail?What
are the different ways algorithm design could become more human-centered?What
are the strengths and challenges of the human-centric approach?Who
and what drives the process of an algorithm?What
criteria are used to define, design, develop, and deploy the algorithm? What
metrics are used to measure the performance of algorithms?
While an algorithm’s designers do not necessarily want others to understand how they design the algorithm, what is the data input, where the data comes from, what code controls the performance, and how the algorithm design will work, it is essential to reach a consensus on what it means for its output and outcome. The time is now to evaluate the need for human-centric algorithmic design for data analytics.
For more, please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast
About the Guest
Brian O’Neal is the Founder
of Designing for Analytics based in the United States. He is also the Host of
Experiencing Data Podcast. He helps product leaders and data strategists
innovate by applying human-centered design to data science and analytics.
About the Host of Risk
Roundup
Jayshree Pandya (née Bhatt), Ph.D., is a leading expert at the
intersection of science, technology, and security and is the Founder and Chief
Executive Officer of Risk
Group LLC. She has been involved in a wide range of
research, spanning security of and from science and technology domains. Her
work is currently focused on understanding how converging technologies and
their interconnectivity across cyberspace, aquaspace, geospace, and space
(CAGS), as well as individuals and entities across nations: their governments,
industries, organizations, and academia (NGIOA), create survival, security, and
sustainability risks. This research is pursued to provide strategic security
solutions for the future of humanity. From
the National Science Foundation to organizations from across the United States, Europe, and Asia, Dr. Pandya is an invited speaker on emerging technologies,
technology transformation, digital disruption, and strategic security risks. Her work has contributed to more than 100 publications in
the areas of science and commerce. She is
the author of the books, Geopolitics
of Cybersecurity and The Global Age. She writes about Artificial Intelligence on Forbes.
About Risk Roundup
Risk Roundup, a global
initiative launched by Risk Group, is a security risk reporting for risks
emerging from existing and emerging technologies, technology convergence, and
transformation happening across cyberspace, aquaspace, geospace, and space.
Risk Roundup is released in both audio (Podcast) and video (Webcast) format and
is available for subscription at (Risk Group Website, iTunes, Google Play, Stitcher Radio, Android, and Risk Group
Professional Social Media).
About Risk Group
Risk Group is a leading strategic security risk
research and reporting organization.
Copyright Risk Group LLC. All Rights Reserved
The post Human-Centric Algorithmic Design For Data Analytics appeared first on Risk Group.