Digitizing most of the work we've done in the past created a vast amount of data but in silos. The combination of the internet and digitization created large amounts of data, fueling a large amount of ...
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...
For IT teams, cutting tech debt and reducing toil is most likely at the top of their 2024 New Year’s resolutions. In the ever-evolving landscape of data management and artificial intelligence (AI), ...
Data strategies and modernization initiatives misaligned with the overall business strategy—or too narrowly focused on AI—leave substantial business value on the table. In partnership withThoughtworks ...
Business leaders recognize that strong foundations are essential for any company exploiting artificial intelligence (AI). Your business could jeopardize the whole project if it doesn't sort its data ...
A data storage strategy that addresses data sovereignty builds on the classification of data in the data audit to limit what data can go where. As part of the classification process, data will be ...
A survey of data scientists for Capital One Software, the software business spun out of Capital One Bank, has found that many struggle to secure funding for self-service initiatives. Forrester ...
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