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 83

Data science Analytics Unstructured data Artificial Intelligence 83

Archive-It

MAY 8, 2023

These one-day events were held at the Association of College & Research Libraries (ACRL) conference in Pittsburgh and the Art Libraries Society of North America (ARLIS) conference in Mexico City. We plan to host future workshops focused on computational research with web archives – please keep an eye on our Event Calendar.

Archiving 20

Archiving Libraries Data science Mining 20

Archive-It

MAY 8, 2023

These one-day events were held at the Association of College & Research Libraries (ACRL) conference in Pittsburgh and the Art Libraries Society of North America (ARLIS) conference in Mexico City. We plan to host future workshops focused on computational research with web archives – please keep an eye on our Event Calendar.

Archiving 20

Archiving Libraries Data science Mining 20

eDiscovery Daily

FEBRUARY 9, 2020

The look and feel for the entire event was different—new exhibit hall layouts, new branding, new sessions—but it was still the tried-and-true legal technology community we see each year. All of these events were wonderful networking opportunities for renewing relationships and forming new ones. . — Judge Andrew Peck (ret.),

e-Discovery 70

e-Discovery Education Artificial Intelligence Data science 70

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

CILIP

OCTOBER 8, 2019

2019 brings together content delivery and technology, looking at how areas such as AI, machine learning and data science are coming together in the content world. The core message is that we wanted to create an event that will enable attendees to create their personal blueprint to help them navigate the changing landscape. ?These

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

IBM Big Data Hub

SEPTEMBER 11, 2023

With the IoT, tracking website clicks, capturing call data records for a mobile network carrier, tracking events generated by “smart meters” and embedded devices can all generate huge volumes of transactions. Many consider a NoSQL database essential for high data ingestion rates.

Analytics 90

Analytics Cloud IoT Paper 90