CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 331

Data Database Administration Data Engineering Artificial Inteligence 331

CIO

JULY 14, 2023

Generative AI models like ChatGPT and GPT4 with a plugin model let you augment the LLM by connecting it to APIs that retrieve real-time information or business data from other systems, add other types of computation, or even take action like open a ticket or make a booking.

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. Currently working for Hazelcast.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake. It’s a system of action.”.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

O'Reilly Media - Ideas

MARCH 31, 2022

Marketers use the term AI; software developers tend to say machine learning. The retail and financial services industries had the greatest percentages of respondents reporting AI applications in production (37% and 35%, respectively). To the customer, what’s important isn’t how the product works but what it does.

Enterprise 108

Enterprise Artificial Inteligence Government Budget 108

Cloudera

DECEMBER 12, 2018

Right now, if you look across the marketplace, there’s probably not too many places where people don’t say that data is a competitive advantage. Data gives you benefits. Everyone wants to be a data-driven company — traders, retailers, advertisers, etc., It is how you beat your competitors, right?

Data 42

Data Marketing Storage Big Data 42