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Embrace grabs a new funding round amid unveiling of new mobile data intelligence software

TechCrunch

Many companies collect data from all of their users, but they don’t know what is good or bad data until it is collected and analyzed. Now in this increasingly mobile-first world, we use our phones for everything from apps to ordering to food to connecting with our cars. How to ensure data quality in the era of big data.

Mobile 246
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Reduce Your Data Culture Debt With People Treble: Data Literacy, Citizen Data Science, and Data Mesh

Dataiku

A shiny new technology appears and we prioritize its implementation: enterprise databases, personal computers, spreadsheets, three-tier architectures, business intelligence reporting, the internet, mobile computing, big data, data mining, cloud computing, self-service business intelligence, AutoML, AI, and now Generative AI.

Data 83
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Intelligenza artificiale e gen AI: i quattro elementi per passare al “next level”

CIO

Altrettanto importante (e forse più trascurata) è la questione dei big data che servono per addestrare i modelli e il costo connesso. Tuttavia, in generale, se l’IA ha lavorato sui big data è difficile che il risultato non sia affidabile”. Che cosa posso fare con l’IA?

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Transforming NetOps with Big Data

Kentik

As we discussed in an earlier post, From NetFlow Analysis to Business Outcome , a Big Data approach to collecting, storing, accessing, and analyzing management data enables the level of collaboration that’s required for an organization to exhibit the key characteristics of a digital business.

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Highlights from the Strata Data Conference in San Jose 2018

O'Reilly Media - Data

Watch highlights covering machine learning, business intelligence, data privacy, and more. From the Strata Data Conference in San Jose 2018. Experts from across the data world came together in San Jose, California for the Strata Data Conference. Crisis Text Line data usage and insights.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Mobile app capabilities for software outsourcing.

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Product analytics startup Kubit lands $18M in fresh capital

TechCrunch

CEO Alex Li says that he founded Kubit in 2018 to solve what he believes is one of the biggest pain points of the product analytics space: losing data control and lack of transparency. Previously, Li spent 10 years building mobile apps and used product analytics tools at companies including Smule, Booyah and eBay.

Analytics 214