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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

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ST Engineering showcases applications of new technologies to stay ahead of disruption

CIO

The advent of new technologies has accelerated the rate of innovation and disrupted the business landscape as we know it. As the pace of innovation speeds up, tomorrow’s front runners are those who readily embrace disruptive technologies to spearhead new business models and capture new avenues of growth.

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. The intelligence generated via Machine Learning.

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In the race for tech talent, the US should look to Mexico

TechCrunch

A professor at Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM), he's partnered with Microsoft, IBM and Google to deliver digital transformation and cognitive technology services. Chatbots spotlight machine learning’s trillion-dollar potential. Demand increasing for Mexican tech talent.

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How digital turned Nationale-Nederlanden into an omnichannel company

CIO

For instance, the company completed its conversion to a 100% Agile company in 2019, an achievement that reinforced its commitment to clients. So since the brand began this journey, the main objective has been to execute a corporate strategy by betting on the possibilities that technology provides in combination with people and data.

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10 celebri disastri provocati dall’intelligenza artificiale

CIO

ChatGPT e le hallucination sui casi giudiziari I progressi compiuti nel 2023 dai large language models (LLM) hanno suscitato un interesse diffuso per il potenziale di trasformazione dell’IA generativa in quasi tutti i settori. Artificial Intelligence, Generative AI, Machine Learning

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Today’s quantum-inspired approaches for ROI

CIO

Quantum-inspired solutions can train Large Language Models (LLMs) faster and cheaper, provide explainability when making credit decisions, and help spot flaws in production lines. But when it runs out of usable qubits due to hardware limits, it runs out of the ability to add parameters or otherwise improve the model.