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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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Book review: Accelerate

Henrik Warne

DevOps in this context means things like continuous delivery, automated tests, trunk-based development, and proactive monitoring of system health. DevOps in this context means things like continuous delivery, automated tests, trunk-based development, and proactive monitoring of system health. Improvement Drivers.

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Glass rethinks the smartphone camera through an old-school cinema lens

TechCrunch

Smartphone cameras have gotten quite good, but it’s getting harder and harder to improve them because we’ve pretty much reached the limit of what’s possible in the space of a cubic centimeter. It may not be obvious that cameras won’t get better, since we’ve seen such advances in recent generations of phones.

Film 246
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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

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.,

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How real-time operational insights drive superior tech platform development

CIO

As SaaS solutions gain greater market share, and build mindshare, operational know-how is becoming critical to both their development and evolution. One of the biggest issues for any development team is obtaining real and timely user feedback. Traditional development approaches can also cause lengthy release cycles.

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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. We describe information search on the Internet with just one word — ‘google’.

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Airline Reservation Systems and Passenger Service Systems: Navitaire, Amadeus Altea, SabreSonic and more

Altexsoft

Except that we are describing real-life situations caused by small failures in the computer system. And that episode was not a one-off. If passengers are stranded at the airport due to IT disruptions, a passenger service system (PSS) is likely to be blamed for this. The first generation: legacy systems.