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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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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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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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5 questions CIOs must ask after Southwest Airlines’ failure

CIO

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. While weather may have been the root cause, the 16,000 flights canceled between Dec. 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

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is also a trade off in balancing a model’s interpretability and its performance.

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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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How guardrails allow enterprises to deploy safe, effective AI

CIO

Google has finally fixed its AI recommendation to use non-toxic glue as a solution to cheese sliding off pizza. Hyperscalers are stepping up Tommi Vilkamo is the director of Relex Labs at supply chain software company Relex, where he heads a large, centralized data science team. It can be harmful if ingested.