IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Dataconomy

MAY 16, 2023

With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights. Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

ODSC - Open Data Science

FEBRUARY 2, 2023

Data Engineering Even when not only looking at data engineering job descriptions, other data science disciplines are expected to know some core skills in data engineering, mostly around workflow pipelines.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Pickl AI

JULY 18, 2023

The salary of an Artificial Intelligence Architect in India ranges between ₹ 18.0 An AI Architect is a skilled professional responsible for designing and implementing artificial intelligence solutions within an organization. from 2023 to 2030. Lakhs to ₹ 56.7 Their average annual salary is ₹ 31.8 Who is an AI Architect?

AI 52

AI AI Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 28, 2025

Celebrating ODSCs 10-year milestone, McGovern delved into industry trends, in-demand skills, and emerging roles shaping the field of artificial intelligence as we approach2025. LLM Engineers: With job postings far exceeding the current talent pool, this role has become one of the hottest inAI.

AI 40

AI AI Machine Learning Machine Learning 40

ODSC - Open Data Science

JANUARY 18, 2024

This individual is responsible for building and maintaining the infrastructure that stores and processes data; the kinds of data can be diverse, but most commonly it will be structured and unstructured data. They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

FEBRUARY 14, 2023

A traditional approach requires massive efforts and a long lead time in sourcing from various data providers, data pipelining, and integrating into data marts. Also today’s volume, variety, and velocity of data, only intensify the data-sharing issues.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Scientist 52