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[HARO] High Tech Queries: Morning Edition

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Queries!



********* INDEX ***********

High Tech

1) How has COVID shown the value of supplier relationship management? (searcherp)

2) Biased AI and implications (SearchEnterpriseAI)

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High Tech

1) Summary: How has COVID shown the value of supplier relationship management?

Name: Alan Earls searcherp

Category: High Tech

Email: query-brcj@helpareporter.net

Media Outlet: searcherp

Deadline: 7:00 PM EST - 13 January

Query:

I am working on an assigned article for SearchERP.com, due by
Jan 14, focusing on how the benefits of supplier relationship
management were reinforced by the COVID-19 experience. I am
looking for comments on:

>Why is supplier relationship management important? *
An overview to the supply chain disruption/procurement pivots
needed because of the pandemic.(With as much specifics as
possible showing the need for better supplier relationship
management.( * Definition of what supplier
relationship management actually is. * Discuss some
benefits of effective supplier management that may have become
clearer during the pandemice, such as: o --More trust (e.g.
greater willingess to share data etc. which in turn might create
new opportunities such as those listed below) o --Shared
technologies (similar to above, better relationship lead to more
likelihood to use tech effectively) o --Better problem
solving o --Ability to react more effectively o --Lower
supplier management costs o --Less price volatility o
--Ability to offload certain tasks onto supplier o --New
business opportunities (from the collaboration) o --More
efficient supply chain management (because you're
talking/collaborating so you work better together) o --Better
able to weather disruption o -preferred buyer status Although
technology is a part of this subject, I also want to emphasize
that SRM depends on the human/collaboration element as well.
Examples would be great to include but as specific as possible.
I am also interested in views on who is the audience for this?
In other words,who owns or should own this subject?


Requirements:

I am interested in views of analysts, consultants, supply
chain/procurement leaders, possibly a user of this technology.
Vendors I might be able to use on background but can't attribute.

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2) Summary: Biased AI and implications

Name: Lisa Morgan SearchEnterpriseAI

Category: High Tech

Email: query-bra8@helpareporter.net

Media Outlet: SearchEnterpriseAI

Deadline: 7:00 PM EST - 8 January

Query:

Bias is everywhere. Human biases seep into datasets and models
causing ethical issues (which is why it's treated like a
four-letter word), but some bias is necessary, such as when
making decisions about creditworthiness. This piece will explain
different types of bias and how to address them,

Requirements:

Looking for data scientists, preferably who hold advanced
degrees in math or statistics for this one.

This publication is for AI practitioners.

Vendors/PR people: This is not a promotional opportunity for
products or services. I write about issues and trends. This is
clearly an issue. I'll be doing interviews for this next week.

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