About
https://theabrams.group
And trying to…
Articles by Matt
-
Groundhog Era: This is NOT Just a Substack Problem
Groundhog Era: This is NOT Just a Substack Problem
By Matt Abrams
-
On this Memorial Day: Strengthening our Democracy & Democratic Capitalism
On this Memorial Day: Strengthening our Democracy & Democratic Capitalism
By Matt Abrams
-
Cloudflare is But an Example: Societal Norms in the Digital World
Cloudflare is But an Example: Societal Norms in the Digital World
By Matt Abrams
Activity
-
@aspenideas Health My sessions: Trust & Health https://lnkd.in/eNs6czxY Atul Gawande on the need for a global immunity…
@aspenideas Health My sessions: Trust & Health https://lnkd.in/eNs6czxY Atul Gawande on the need for a global immunity…
Liked by Matt Abrams
-
So very important of the work that the LeakSignal team (and many others across the cyber landscape) are doing here. The impacts of this and similar…
So very important of the work that the LeakSignal team (and many others across the cyber landscape) are doing here. The impacts of this and similar…
Shared by Matt Abrams
-
https://lnkd.in/g65__nf5 #independenceday #patriotism #lovehasnolabels
https://lnkd.in/g65__nf5 #independenceday #patriotism #lovehasnolabels
Shared by Matt Abrams
Experience & Education
Volunteer Experience
-
Oregon Futures Commission Member
Business Oregon
- 1 year 1 month
Economic Empowerment
http://www.oregon4biz.com/Innovate-&-Create/Futures-Commission/
Publications
Patents
Projects
-
Machine Learning Summit 2016
The big data era enabled organizations to store more data at a lower cost, and process data more quickly and efficiently. Organizations now seek ways to transform their data into meaningful insights, insights that inspire new products, drive revenue, or enable automation that impacts the bottom line.
Machine learning is at the center of this next wave of innovation and growth. But to use new algorithms effectively, organizations should first understand how they work, the reality vs. the…The big data era enabled organizations to store more data at a lower cost, and process data more quickly and efficiently. Organizations now seek ways to transform their data into meaningful insights, insights that inspire new products, drive revenue, or enable automation that impacts the bottom line.
Machine learning is at the center of this next wave of innovation and growth. But to use new algorithms effectively, organizations should first understand how they work, the reality vs. the hype, and the unique challenges and opportunities to the private sector and society at large.
On September 16th, machine learning practitioners from around the country will gather to discuss the ethics and practical business realities of these emerging technologies.Other creatorsSee project -
Cyber Security Summit 2017
-
Trust in 2017: In What & Whom Do We Trust?
The current era of connectivity, cloud and devices have enabled organizations, individuals, and machines to interact and communicate at "network effect" speed, scale and price. With that comes significant challenges in how these communications are trusted. Trust is at the heart of the issues and challenges every organization, individual and industry is currently facing. Whether trust of our information and media we individually consume or trust…Trust in 2017: In What & Whom Do We Trust?
The current era of connectivity, cloud and devices have enabled organizations, individuals, and machines to interact and communicate at "network effect" speed, scale and price. With that comes significant challenges in how these communications are trusted. Trust is at the heart of the issues and challenges every organization, individual and industry is currently facing. Whether trust of our information and media we individually consume or trust of algorithms making automated decisions for health care, autonomous driving, or financial transactions, we are confronted with exponentially increasing threats and challenges and our globally connected world makes this even more difficult.
On June 9, leading cyber security practitioners from around the country will gather to discuss the realities, advances, and challenges related to trust in Cyber Security.Other creatorsSee project
Languages
-
German
-
Organizations
-
Central Oregon LandWatch
Board Member
-
Recommendations received
1 person has recommended Matt
Join now to viewMore activity by Matt
-
GREAT IMMIGRANTS * GREAT AMERICANS "Every Fourth of July, Carnegie Corporation of New York celebrates remarkable Americans — all naturalized…
GREAT IMMIGRANTS * GREAT AMERICANS "Every Fourth of July, Carnegie Corporation of New York celebrates remarkable Americans — all naturalized…
Liked by Matt Abrams
-
Was happy to provide commentary for this story and the BBC World News coverage of it last night. Couple interesting notes: 1️⃣ It's generative…
Was happy to provide commentary for this story and the BBC World News coverage of it last night. Couple interesting notes: 1️⃣ It's generative…
Liked by Matt Abrams
-
It has been an incredible week here at the Coalition for Health AI (CHAI). We launched our Assurance Standards Guide and the companion Checklist…
It has been an incredible week here at the Coalition for Health AI (CHAI). We launched our Assurance Standards Guide and the companion Checklist…
Liked by Matt Abrams
People also viewed
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore MoreOthers named Matt Abrams in United States
134 others named Matt Abrams in United States are on LinkedIn
See others named Matt Abrams