O'Reilly on Data
JANUARY 29, 2019
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. We found companies were planning to use deep learning over the next 12-18 months. On the other hand, we wanted to measure the sophistication of their use of these components.
O'Reilly on Data
FEBRUARY 11, 2019
Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. AI and machine learning in the enterprise. Deep Learning. Foundational data technologies.
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O'Reilly on Data
JUNE 18, 2019
Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Data integration and cleaning.
CIO Business Intelligence
JUNE 7, 2022
Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.
O'Reilly on Data
DECEMBER 12, 2019
More structured approaches to sensitivity analysis include: Adversarial example searches : this entails systematically searching for rows of data that evoke strange or striking responses from an ML model. 8] , [12] Again, traditional model assessment measures don’t tell us much about whether a model is secure. Residual analysis.
BizAcuity
APRIL 6, 2022
To predict movements and volatility, machine learning and deep learning algorithms are widely used by organizations to strategize and prepare accordingly. Not using AI for predicting crypto price movements can be an extremely risky measure in the current financial climate.
IBM Big Data Hub
NOVEMBER 14, 2023
Data monetization is not narrowly “selling data sets ;” it is about improving work and enhancing business performance by better-using data. External monetization opportunities enable different types of data in different formats to be information assets that can be sold or have their value recorded when used.
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