Off-The-Shelf Social Systems Review 
O'Reilly Media - Data
MARCH 22, 2018
There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted. Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g.,
N2Growth Blog
NOVEMBER 3, 2010
I decided that rather than use an off the shelf presentation that I’d crowdsource the topic for my video from comments submitted via the blog. After reviewing all the comments, I decided to talk on how to lead effectively when dealing with the collision of cross generational cultures within an organizational setting.
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Altexsoft
FEBRUARY 28, 2020
Or a developer failed to test the app with real users to verify usage scenarios, hoping his idea will take off by itself. Or you can do a webinar about a product, schedule posts on social media, write a blog for company website and your partner media. Why did you favor this tool over the thousands of similar ones? A huge event.
O'Reilly Media - Ideas
FEBRUARY 20, 2019
Although that gap could be taken as commentary about the need for “data for social good,” it also points toward opportunities. That’s important since more than 50% of small businesses fail, mostly due to exactly those “anomalies”: cash flow problems and late payments. Exploring new markets by repurposing AI applications.
Altexsoft
FEBRUARY 5, 2020
In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. For instance, a user starts with the section showcasing sneakers in a mobile app, then reads reviews, bookmarks a few models, adds two pairs in a cart, and abandons it.
Altexsoft
SEPTEMBER 6, 2018
Due to a surfeit of information about AI and big data on the Internet, companies can assume that data analysis is the solution for most of their data-related issues. Due to a surfeit of information about AI and big data on the Internet, companies can assume that data analysis is the solution for most of their data-related issues.
Cloudera
SEPTEMBER 7, 2023
Institutions must design AI systems that are not only transparent, reliable, fair, and accountable, but also comply with privacy and security requirements, as well as align with human values and norms. It’s the most revolutionary technological development in at least a generation. But it’s also fraught with risk.
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