IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data science 82

Data science Analytics Unstructured data Artificial Intelligence 82

IBM Big Data Hub

APRIL 18, 2024

A key trend is the adoption of multiple models in production. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Healthcare The vast amount of medical data generated today remains largely untapped. What are the types of AGI?

Artificial Intelligence 88

Artificial Intelligence Marketing e-Delivery Manufacturing 88

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data 69

Unstructured data Artificial Intelligence Sales Manufacturing 69

The Last Watchdog

JUNE 4, 2019

It’s a cybersecurity and data science “foundry” that uniquely helps create, finance and intensely coach brand-new startups manned by former cybersecurity and data science veterans of select federal research centers and national laboratories. According to Cybersecurity Ventures, there will be 3.5

Cybersecurity 193

Cybersecurity Computer and Electronics Data science Marketing 193

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

ARMA International

SEPTEMBER 13, 2021

Here, Part 1 discusses the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how the trends are affecting business users and customers. Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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