CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. They’re also seeking skills around APIs, deep learning, machine learning, natural language processing, dialog management, and text preprocessing.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We Machine Learning in the Age of Big Data.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cloud 87

Cloud Government Storage Analytics 87

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Enterprise machine learning.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Cloudera

SEPTEMBER 10, 2021

Key to harnessing the power of all that data: high-powered artificial intelligence tools, machine learning capabilities and applications capable of rapidly exposing attempts at fraud or identity theft. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 67

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 67

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data. It’s not the machine’s fault.

Artificial Inteligence 117

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 117

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86