2016 Algorithm Data Warehouse 
IBM Journey to AI blog
SEPTEMBER 11, 2023
We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. Watsonx.data on AWS: Imagine having the power of data at your fingertips.
IBM Journey to AI blog
SEPTEMBER 11, 2023
enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. It leverages machine learning algorithms to continuously learn and adapt to workload patterns, delivering superior performance and reducing administrative efforts.
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Alation
FEBRUARY 13, 2020
By matching landmarks on the human face or identifying patterns in speech rate, pitch range, intensity, and voice quality, AI is able to detect human emotions — some algorithms can even detect 10-different emotions. AI is not a fad, algorithmic decision-making is inevitable. Human Curation + Machine Learning.
AWS Machine Learning Blog
FEBRUARY 28, 2023
One of the challenges of working with categorical data is that it is not as amenable to being used in many machine learning algorithms. To overcome this, we use one-hot encoding, which converts each category in a column to a separate binary column, making the data suitable for a wider range of algorithms.
Mlearning.ai
FEBRUARY 10, 2023
Back in 2016 I was trying to explain to software engineers how to think about machine learning models from a software design perspective; I told them that they should think of a database. Both serve as a means of storing representations of historical data, which can later be queried. How are neural networks like databases?
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