Dataconomy

MARCH 4, 2018

Information and business data are among the most valuable assets of any company. Entrepreneurs are increasingly cognizant of the importance of this data for their success in the current market economy. Knowing this, we need to understand how to protect this information. Big data analytics professionals are making use of. The post How Big Data Analytics Is Boosting Cybersecurity appeared first on Dataconomy.

Big Data Analytics 194

Big Data Analytics Big Data Analytics Big Data Big Data 194

Dataconomy

MARCH 4, 2018

2018 has brought a new focus to the careers, excellence and issues of working women, and this extends into the fields of tech and data science. As we approach the Women in Data Science (WiDS) conference on March 5, 2018, it is important to take a moment and reflect on. The post Women in Data Science: “We built a conference to become a movement” appeared first on Dataconomy.

Data Science 164

Data Science 164

Dataconomy

MARCH 9, 2018

The big data industry isn’t known to soak up the spotlight, nor does it take up much room in the headlines, yet it is by far one of the most influential forces in business today. From the local brick-and-mortar stores to towering multinational conglomerates, the data that this sizeable slice of the IT. The post Reimagining Analytics and Engagement with Blockchain appeared first on Dataconomy.

Analytics 160

Analytics Analytics Big Data Big Data 160

Dataconomy

MARCH 6, 2018

The call to democratize data analytics today is unmistakable. The desire and need to perform analyses of company data, within all departments, has lead to this broad trend up and down the corporate landscape. By definition, data democratization is the principle that each one of us has access (and rights) to. The post Object Storage and Data Analytics: The Road to Democratization appeared first on Dataconomy.

Analytics 162

Analytics Analytics Data Science 162

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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