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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

However, encryption technology for data protection is widely available. Only people with the key to decode the data can read it. Here are seven reasons to depend on encryption technology: 1. One of the top advantages of modern encryption technology is that you can apply it to all or most of the tech devices you use.

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AI Adoption in the Enterprise 2021

O'Reilly on Data

Not surprisingly, computers, electronics, and technology topped the charts, with 17% of the respondents. The biggest problems in this year’s survey are lack of skilled people and difficulty in hiring (19%) and data quality (18%). It’s gratifying to note that organizations starting to realize the importance of data quality (18%).

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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

In our Partner Showcase , we highlight the amazing integrations, joint projects, and new functionalities created and sustained by working with our technology partners at companies like Billie, AWS, Google, and others. Especially when dealing with business data, trust in the figures is an essential element of every transaction.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

Originally published in 2018, the book has a second edition that was released in January of 2022. The new version includes details on the latest SQL features such as techniques for wrangling data, as well as two new chapters, one dedicated to setting up your own system, and another for using PostgreSQL and JSON. Viescas and Michael J.

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Generative AI in the Enterprise

O'Reilly on Data

Generative AI has been the biggest technology story of 2023. Executive Summary We’ve never seen a technology adopted as fast as generative AI—it’s hard to believe that ChatGPT is barely a year old. When 26% of a survey’s respondents have been working with a technology for under a year, that’s an important sign of momentum.

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Fact-based Decision-making

Peter James Thomas

Let’s cover what can go wrong (note: this section is not intended to be exhaustive, links are provided to more in-depth articles where appropriate): Accuracy of Data that is captured. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. million ± £0.5

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Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.