Elephant Folio
<p> The PDF Library that automatically organizes itself </p> <p> <a href="https://www.producthunt.com/products/elephant-folio?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1112541?app_id=339">Link</a> </p>
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2026 CIO Hall of Fame honorees
The CIO Hall of Fame was created in 1997 to spotlight outstanding IT leaders who had significantly contributed to and profoundly influenced the IT discipline, the use of technology in business and the advancement of the CIO role. Ten years later, in 2007, CIO inducted its second class of honorees into the CIO Hall of Fame during CIO magazine’s 20th anniversary celebration. Now an annual award, presented at the CIO 100 Awards & Conference each August, the CIO Hall of Fame recognizes an elite group of IT leaders. Below are the 222 members of the CIO Hall of Fame, showing the year of their induction and their company affiliation at the time. Class of 2026 Mike Anderson , Chief Digital & Information Officer, Netskope Andrea Ballinger , Chief Information Officer, RPI Dani Brown , SVP & CIO, Whi
Scaling a business: A leadership guide for the rest of us
Leadership is changing faster than most organizations can comfortably absorb. In 2026, senior leaders are being measured by a new mix of expectations, sharper accountability for performance, a more vocal and values-driven workforce and rising pressure to protect culture while navigating constant change. These shifts are not theoretical. They are already showing up in how people engage, how boards govern and how executive teams make decisions. At the same time, boards and senior executives are looking at leadership through a more disciplined lens, return on capital invested. Not just “Are we growing,” but “Are we getting more output, more resilience and more customer value from every dollar and every hour we put into the system?” In that context, scaling is not a vanity goal. It is a practi
"It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models
arXiv:2511.08917v3 Announce Type: replace Abstract: Vision-Language Models (VLMs) are increasingly used by blind and low-vision (BLV) people to identify and understand products in their everyday lives, such as food, personal care items, and household goods. Despite their prevalence, we lack an empirical understanding of how common image quality issues--such as blur, misframing, and rotation--affect the accuracy of VLM-generated captions and whether the resulting captions meet BLV people's information needs. Based on a survey of 86 BLV participants, we develop an annotated dataset of 1,859 product images from BLV people to systematically evaluate how image quality issues affect VLM-generated captions. While the best VLM achieves 98% accuracy on images with no quality issues, accuracy drops
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