article thumbnail

Big data, IA y automatización de procesos para retornar talento catalán expatriado

CIO

Este, según han dado a conocer, se apoya en tecnologías como el big data , la inteligencia artificial y la automatización de procesos para identificar en cualquier parte del mundo el candidato ideal para cada posición en tiempo récord.

Big Data 133
article thumbnail

The top 15 big data and data analytics certifications

CIO

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 317
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Dataminr, the $4B big data startup, is laying off 20% of staff today, or 150 people, as it preps to double down on AI

TechCrunch

It’s a tough day for Dataminr, the New York-based big data unicorn last valued at $4.1 TechCrunch has learned that the company — which uses AI and big data algorithms to provide predictive insights about news and other global events, is laying off about 20% of staff today, or around 150 people.

Big Data 295
article thumbnail

Everstream, which applies big data to supply chain management, raises $50M

TechCrunch

Gerdeman claims that what helped Everstream stay ahead of the competition was its “big data” approach. The platform combines data based on supply chain interactions with AI and analytics to generate strategic risk scores, assessed at the material, supplier and facility location level.

Big Data 227
article thumbnail

Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

article thumbnail

Big Data Realtime Data Pipeline Architecture

Dzone - DevOps

Big data has become increasingly important in today's data-driven world. It refers to the massive amount of structured and unstructured data that is too large to be handled by traditional database systems. To efficiently process and analyze this vast amount of data, organizations need a robust and scalable architecture.

article thumbnail

Palantir: Revolutionizing big data analytics

CTOvision

and its products like Gotham, Foundry, and Apollo on his blog : A brief background on Palantir – it is typically described as a company that focuses on big data analytics by writing software that enables effective analysis against complicated, data-driven problems. This is done by unifying […].

Big Data 193
article thumbnail

Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

article thumbnail

12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

article thumbnail

A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.