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#machine-learning #ai-in-hiring #ai-agents #cost-optimization #data-quality #data-analytics #ai-in-healthcare
Data science
fromNature
1 week ago

Dozens of AI disease-prediction models were trained on dubious data

Dubious data sets used in AI models for stroke and diabetes risk may lead to flawed clinical decisions.
#ai-in-hiring
Careers
fromFast Company
1 week ago

4 myths about AI in hiring, debunked

AI in hiring can reduce bias compared to human recruiters, challenging common misconceptions about its fairness.
Careers
fromFast Company
1 week ago

4 myths about AI in hiring, debunked

AI in hiring can reduce bias compared to human recruiters, challenging common misconceptions about its fairness.
more#ai-in-hiring
#ai-agents
Data science
fromMedium
2 weeks ago

15 Datasets for Training and Evaluating AI Agents

Datasets for training and evaluating AI agents are essential for building reliable agentic systems and preventing execution failures.
fromEntrepreneur
2 months ago
Venture

Why AI Is Forcing a Rethink of Business Metrics

AI agent customers lack persistence, breaking traditional CAC, LTV, and retention metrics and eliminating loyalty-based moats as each transaction resets competition.
Data science
fromMedium
2 weeks ago

15 Datasets for Training and Evaluating AI Agents

Datasets for training and evaluating AI agents are essential for building reliable agentic systems and preventing execution failures.
more#ai-agents
Software development
fromArs Technica
3 weeks ago

Running local models on Macs gets faster with Ollama's MLX support

Ollama enhances local language model performance on Apple Silicon with MLX support and improved caching, catering to growing interest in local models.
Science
fromNature
4 weeks ago

Drowning in data sets? Here's how to cut them down to size

The Square Kilometre Array Observatory will generate massive data, but storage and retention pose significant challenges for researchers.
Data science
fromMedium
4 weeks ago

AI KPIs That Matter: Moving Beyond Model Accuracy in 2026

Measuring AI success requires connecting model performance to business outcomes, not just focusing on accuracy metrics.
Data science
fromInfoWorld
1 month ago

The 'toggle-away' efficiencies: Cutting AI costs inside the training loop

Simple optimizations can significantly reduce AI training costs and carbon emissions without needing the latest GPUs.
Productivity
fromEntrepreneur
1 month ago

How AI Clears the Path to Faster, Better Executive Decisions

Decision slowdowns stem from disorganized inputs forcing leaders to decode information rather than decide, which AI can resolve by standardizing briefs, surfacing tradeoffs, and documenting rationale.
Business
fromTechRepublic
1 month ago

AI-optimization is exposing HR's operational blind spots

AI efficiency in businesses exposes outdated HR systems and processes, requiring modernization of approval chains, tech stacks, and onboarding workflows to maintain operational alignment.
Information security
fromSecuritymagazine
2 months ago

Product Spotlight on Analytics

Taelor Sutherland is Associate Editor at Security magazine covering enterprise security, coordinating digital content, and holding a BA in English Literature from Agnes Scott College.
Artificial intelligence
fromTechRepublic
1 month ago

Recruiters Follow AI's Biased Hiring Recommendations 90% of the Time, Research Says

AI hiring tools exhibit significant racial and gender bias, and human reviewers fail to catch most of it despite being positioned as safeguards.
Cryptocurrency
fromBusiness Matters
2 months ago

What Is the Best Way to Purchase Advanced Analytics Tools for Digital Assets?

Purchase digital-asset analytics by defining use cases, evaluating data quality and methodology, and ensuring technical integration into existing workflows.
fromInfoQ
2 months ago

Building Embedding Models for Large-Scale Real-World Applications

What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.
Artificial intelligence
Artificial intelligence
fromEntrepreneur
2 months ago

Comparing AI Models With This Tool Can Save Your Business Time and Money

ChatPlayground AI aggregates over 25 leading AI models into one interface for instant side-by-side comparisons, streamlined workflows, and a lifetime Unlimited subscription for entrepreneurs.
Data science
fromInfoWorld
2 months ago

How to choose the best LLM using R and vitals

Swap model by creating a new chat solver, clone or create tasks with alternative LLMs, run evaluations, and bind results for comparison and analysis.
Artificial intelligence
fromLogRocket Blog
2 months ago

How poor chunking increases AI costs and weakens accuracy - LogRocket Blog

Chunking determines AI feature cost, accuracy, and scalability; deliberate chunking reduces costs, improves retrieval accuracy, and enables reliable production systems.
Data science
fromCIO
2 months ago

5 perspectives on modern data analytics

Data/business analytics is the top IT investment priority, yet analytics projects often fail due to poor data, vague objectives, and one-size-fits-all solutions.
Artificial intelligence
fromTheregister
1 month ago

AI models get better at math but still get low marks

Current LLMs struggle with mathematical accuracy, with even top performers scoring C-grade equivalent on practical math benchmarks, though recent versions show modest improvements.
Artificial intelligence
fromInfoQ
2 months ago

Foundation Models for Ranking: Challenges, Successes, and Lessons Learned

Large-scale search and recommendation systems use two-stage retrieval and ranking pipelines to efficiently serve personalized results for hundreds of millions of users and items.
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