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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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AI as a service to solve your business problems? Guess again

TechCrunch

Industries of all types are embracing off-the-shelf AI solutions. In the words of Sepp Hochreiter (inventor of LSTM , one of the world’s most famous and successful AI algorithms), “the ideal combination for the best time to market and lowest risk for your AI projects is to slowly build a team and use external proven experts as well.

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Accenture forges own path to improve attack surface management

CIO

We’ve always had a strong security posture, but as we’ve been growing, we noticed that we had weaknesses in our defenses,” says Kristian Burkhardt, Accenture CISO. Burkhardt and his team first noticed gaps in their security posture when doing crowdsourced penetration testing.

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Taktile raises $20M to help fintech companies test and deploy decision-making models

TechCrunch

The two met while studying at Harvard and were both a part of the leadership team at QuantCo, a company building AI-powered apps for enterprise customers. This means that if a head of credit, for example, wants to make a change to the lending criteria, they have to raise a ticket with the IT department. ” Image Credits: Taktile. .

Fintech 228
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Freshflow is helping grocery retailers fight food waste

TechCrunch

The reasons manual reordering has persisted for this (fresh) segment of grocery retail are myriad, according to Mukhija — including short (but non-uniform) shelf lives; quality variation; seasonality; and products often being sold by weight rather than piece, which complicates ERP inventory data. revenue boost. million tonnes.

Retail 219
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5 questions CIOs must ask after Southwest Airlines’ failure

CIO

They also received $7 billion in pandemic aid and performed $5.6 In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. 19-28 far exceeded any other airlines’ operational impacts.

Airlines 216
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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

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., There is also a trade off in balancing a model’s interpretability and its performance.