An agent can produce a mathematically elegant, third-normal-form schema that is functionally irrelevant because it fails to capture the political or operational nuances of the organization. Deploying ...

What may emerge are distinct liability modes, where certain models operate with stricter guardrails to qualify for lower ...

Those who master the orchestration of agentic systems will define the next generation of data architecture. ACM encourages its members to take a direct hand in shaping the future of the association.

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows ...

This includes having proper validation checks in place that fail the pipelines before data is dropped into the tables that the dashboards consume for any reporting needs. This essentially shifts the ...

The applications and systems that software developers use on a daily basis are evolving as AI quickly becomes integrated into workflows. At the same time, the number of AI-native apps optimized for ...

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Such fears occasionally push major stock indexes down. A Bank of America survey from November revealed concerns about companies “overinvesting,” with 45% of investors saying they view an AI bubble as ...

(More broadly, the military use of AI needs to be a granular question. We might find, for example, that AI helps with ...

Because the migration to PQC is a complex, multi-year undertaking that requires a strategic approach, Peters said ...

Traditional machine learning emphasized predictive accuracy. Generative systems required attention to hallucination mitigation and grounding. Agentic systems shift the challenge again. They do not ...

Examining the difficulties in training LLMs to handle contemporary creative writing styles. Julia Cameron, a renowned ...