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Artificial Intelligence 2

Artificial Intelligence 2

Artificial intelligence (AI) is a field dedicated to helping computers solve problems in an automated way, and in place of manual analysis.

Analytics magazine

Building the Second Stack

Analytics Magazine

Three Essential Elements of the LLMOps Tech Stack

OR/MS Today

Chasing Tomorrow: ChatGPT Regulations and Models in a Rapidly Changing Landscape

Resoundingly Human Podcast

Behind the scenes with #2024Analytics Keynote Tom Koulopoulos

Organization Science

Culture as a Toolkit for Robust Action: Tackling Grand Challenges with Cultural Entrepreneurship

Operations Research

Sinkhorn Distributionally Robust Optimization

Organization Science

Good Lessons Despite Bad Feelings: How Boundary-Spanning Teams Learn from Collaboration Failure

ARTICLE

Model‐based AI planning and execution platforms for robotics

MEETING REPORT

Explainable AI, energy and critical infrastructure systems

ARTICLE

Open‐source AI at scale: Establishing an enterprise AI strategy through modular frameworks

Artificial Intelligence (AI), including Generative AI, and Operations Research/Management Science (OR/MS) offer proven but distinct approaches to decision-making with data and models. However, challenges persist in applying them to vital socio-technical environments where human and artificial systems interact. These include the need to combine AI and OR/MS for the best solution, aligning models with human values and promoting trust, and the expertise and time required for their application, which limit wider use.

OR/MS Today

Transforming Generative Intelligence with Disruptive Thinking

OR/MS Today

The Impact of Analytics and AI in Digital Transformation for the University of the Future

OR/MS Today

Detecting and Mitigating Disparities in Preventive Care and Healthcare Delivery: The role of artificial intelligence and operations research

INFORMS

Can Artificial Intelligence Agents Develop Trust With Humans? New Research Says Yes!

Analytics magazine

7 Essential Practices for Ensuring Ethical and Bias-Free AI in Business Analytics

INFORMS YouTube

What is the difference between artificial intelligence (AI) and machine learning (ML)?

Analytics Magazine

What If…Jarvis Were Real?

subject to: podcast

Artificial Intelligence 2

Building the Second Stack

Three Essential Elements of the LLMOps Tech Stack

Chasing Tomorrow: ChatGPT Regulations and Models in a Rapidly Changing Landscape

Behind the scenes with #2024Analytics Keynote Tom Koulopoulos

AI Articles from INFORMS

Culture as a Toolkit for Robust Action: Tackling Grand Challenges with Cultural Entrepreneurship

Sinkhorn Distributionally Robust Optimization

Good Lessons Despite Bad Feelings: How Boundary-Spanning Teams Learn from Collaboration Failure

AI Magazine from AAAI

Model‐based AI planning and execution platforms for robotics

Explainable AI, energy and critical infrastructure systems

Open‐source AI at scale: Establishing an enterprise AI strategy through modular frameworks

Upcoming Events

Transforming Generative Intelligence with Disruptive Thinking

The Impact of Analytics and AI in Digital Transformation for the University of the Future

Detecting and Mitigating Disparities in Preventive Care and Healthcare Delivery: The role of artificial intelligence and operations research

Can Artificial Intelligence Agents Develop Trust With Humans? New Research Says Yes!

7 Essential Practices for Ensuring Ethical and Bias-Free AI in Business Analytics

What is the difference between artificial intelligence (AI) and machine learning (ML)?

What If…Jarvis Were Real?

subject to: Ramayya Krishnan

Artificial Intelligence 2

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AI Articles from INFORMS

AI Magazine from AAAI

Upcoming Events