IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development.

Artificial Intelligence 80

Artificial Intelligence Customer Experience Cloud Government 80

Collibra

AUGUST 23, 2023

As the data intelligence company, we’ve long anticipated broad adoption of AI, and Collibrians with data science and machine learning expertise have been working diligently on ways to apply AI/ML. She said some of the first results were more relevant for a manufacturing hackathon than a software hackathon.

Communications 95

Communications Data science Marketing Artificial Intelligence 95

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 80

Data science Manufacturing Artificial Intelligence Retail 80

Reltio

JULY 2, 2019

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

ARMA International

SEPTEMBER 13, 2021

Part 3 will discuss how to manage the various DT risks. For example, re-packing corporate records can help weave a narrative to promote a brand, enhance corporate social responsibility outreach programs, improve employee loyalty, enhance diversity, equality and inclusion training, and highlight environment, social and governance initiatives.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Collibra

NOVEMBER 18, 2021

Over time, data accumulated and started to become unwieldy, even useless. . How our ancestors tried to solve the data collection dilemma. government realized the records were so voluminous it would take a decade to analyze the results—and by then, it was time for a new census. . How United by Data connects us.

IT 52

IT Data collection Analytics Military 52