2015 Artificial Inteligence Big Data 
CIO
MAY 7, 2024
When it broke onto the IT scene, Big Data was a big deal. Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. Data is the cement that paves the AI value road. Data is data.
TechCrunch
JANUARY 9, 2023
Founded out of London in 2015, Superscript constitutes two core insurance businesses: an online-only “self-serve” platform that’s available to U.K. With another $54 million in the bank, the company said that it plans to bolster its underwriting and broking capabilities, and continue investing in its machine learning tooling.
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CTOvision
OCTOBER 6, 2015
Winners to Introduce Innovative Technologies at SINET Showcase in Washington, DC, November 3 & 4, 2015. The selected companies will share their work with buyers, builders, investors and researchers during the SINET Showcase on Nov 3 & 4, 2015 at the National Press Club in Washington, DC. ABOUT THE 2015 SINET 16 INNOVATORS.
CTOvision
JULY 13, 2015
Have you seen what's new for 2015? Keynotes, sessions, and tutorials ranging from hard-core data science (web-scale machine learning and fault-tolerant data ingestion) to C-level data business strategy (case studies from Walmart, Goldman Sachs, and Sony) and more. Strata + Hadoop World sells out every time.
CTOvision
FEBRUARY 4, 2016
In much the same way businesses have been eager to use big data analytics to improve their operations, many companies have paid a lot of interest to the growing field of machine learning. Unlike some other tech trends that have come and gone, machine learning appears to be more than just some fad.
d2iq
FEBRUARY 19, 2021
Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.
O'Reilly Media - Data
MAY 3, 2018
Machine learning. For machine learning, let me focus on recent work involving deep learning (currently the hottest ML method). In multi-task learning, the goal is to consider fitting separate but related models simultaneously. The ethics of artificial intelligence”. Closing thoughts.
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