Machine Learning Research Technical Review 
CIO
NOVEMBER 27, 2024
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
O'Reilly Media - Data
DECEMBER 12, 2019
For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. We’ll review methods for debugging below.
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CIO
OCTOBER 14, 2024
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
TechCrunch
NOVEMBER 17, 2020
Allison Xu is an investor at Bain Capital Ventures, where she focuses on investments in the fintech and property tech sectors. As one of the least-digitized sectors of our economy, construction is ripe for technology disruption. construction job sites, costing the industry over $31 billion annually according to FMI research.
TechCrunch
OCTOBER 18, 2021
Xipeng Shen is a professor at North Carolina State University and ACM Distinguished Member, focusing on system software and machine learning research. Our team of researchers started CoCoPIE to solve the chip shortage crisis. For deep tech startups, the capital game can be a tricky one to play. Build credibility.
CIO
JANUARY 5, 2025
Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.
CIO
OCTOBER 29, 2024
This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies. Imagine a hacker compromising a healthcare database and simply changing the blood type of every individual in a research study or the entire patient population.
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