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Gretel AI raises $50M for a platform that lets engineers build and use synthetic data sets to ensure the privacy of their actual data

TechCrunch

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. They could see that the longer-term issue would be a growing need and priority for data privacy. But humans are not meant to be mined.”

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Why It’s Important For Your Organization to Know The Difference Between a Data Scientist and Data Engineer

CTOvision

Artificial Intelligence (AI) continues to become a focus for many enterprises and these organizations are increasing realizing how important it is to have the right people and skills in place. In particular, there has been a significant increase in demand for data scientists.

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Register With 20% Discount Code for San Jose Strata Hadoop World

CTOvision

Attending is a great way to track the latest in the community, learn (and share) lessons learned and find the most capable technologies ready for enterprise use. This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics.

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Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

The Citus Data

Maps with Django (and PostGIS) , by Paolo Melchiorre the CTO of 20tab. (On-demand EMEA livestream, parallel queries, PostgreSQL) Postgres and the Artificial Intelligence Landscape , by Bruce Momjian of EDB, a prolific speaker who is speaking again at Citus Con this year. (on-demand

Azure 85
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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

There is a lot more to machine learning in the enterprise than just the model, which is what many people think of when they hear artificial intelligence. These tasks are usually split over a data engineer, a data scientist, and a machine learning engineer. Adapted from Sculley et al.

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Five Trends for 2019

Hu's Place - HitachiVantara

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86
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INFOGRAPHIC: Data Scientist vs. Data Engineer by Cognilytica

CTOvision

As AI increasingly gains popularity among enterprises, companies are actively seeking data scientists who possess data science skills. Many enterprises confuse the roles of data scientists and data engineers.