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 78

Artificial Intelligence Customer Experience Cloud Government 78

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Artificial Intelligence 95

Artificial Intelligence Marketing e-Delivery Manufacturing 95

Reltio

JULY 31, 2019

Michele is also a speaker, author and evangelist for the use of analytics to drive better business decision-making. What was your route into technology, data and analytics? I then worked on a large-scale BI project at Coca-Cola, which was where I really started to understand the importance of analytics. I grew up in St.

Analytics 49

Analytics Blockchain Cloud Artificial Intelligence 49

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

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. DRM is used by publishers, manufacturers and IP owners for digital content and device monitoring” (Techopedia 2021). AI using machine learning (ML) involves processing samples of data to learn.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? If success is simply adopting and deploying advanced analytics technologies, then you don’t need strategic guidance to chart that journey. It’s simple.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

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 78

Data science Manufacturing Artificial Intelligence Retail 78

IBM Big Data Hub

AUGUST 1, 2023

Instead of spending time and effort on training a model from scratch, data scientists can use pretrained foundation models as starting points to create or customize generative AI models for a specific use case. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks.

Artificial Intelligence 59

Artificial Intelligence Marketing Unstructured data Manufacturing 59

IBM Big Data Hub

SEPTEMBER 20, 2023

Another key vector is the increasing importance of computing at the enterprise edge, such as industrial locations, manufacturing floors, retail stores, telco edge sites, etc. More specifically, AI at the enterprise edge enables the processing of data where work is being performed for near real-time analysis.

Cloud 90

Cloud Data science Artificial Intelligence Analytics 90

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? If success is simply adopting and deploying advanced analytics technologies, then you don’t need strategic guidance to chart that journey. It’s simple.

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

Collibra

NOVEMBER 18, 2021

Data collection is what we do. Today, we think of Big Data as a modern concept. Cloud storage, text mining and social network analytics are vital 21 st century tools. That invention turned languishing data into useful data. The dilemma of how to best store and analyze data, however, continued. .

IT 52

IT Data collection Analytics Military 52

eSecurity Planet

OCTOBER 12, 2022

“We are seeing endpoint management teams ask for DEX capabilities that are tightly integrated with UEM to provide customers with the means to deliver and measure rich telemetry, analyze using data science, and proactively remediate user experience issues across endpoints, apps, network, and access,” said Kunduri. Key Differentiators.

Analytics 101

Analytics IoT Access Marketing 101

Information Matters

DECEMBER 7, 2018

What Great Data Analysts Do — and Why Every Organization Needs Them – Harvard Business Review, 4 December 2018. “The top trophy hire in data science is elusive, and it’s no surprise: a “full-stack” data scientist has mastery of machine learning, statistics, and analytics. ” [link].

IoT 40

IoT Blockchain Personal data Analytics 40

Reltio

JULY 6, 2018

A leading PC & printer manufacturer & re-seller created a single global view of accounts. Here are the seven reasons why enterprises should invest in a modern MDM Platform to drive ongoing business value. Reduced IT & Operational Cost.

MDM 60

MDM Insurance Retail Cloud 60

Reltio

AUGUST 17, 2018

Platform’s multi-domain data organization capability helps perform deeper analysis to better understand the needs of patients, providers, payers, and relationships among these players. Research indicates that 81% of future drug sales performance is determined by actions taken during clinical development and early commercialization phase.

MDM 70

MDM Sales Customer Experience Marketing 70

Reltio

APRIL 16, 2019

Google Cloud Platform customers who embrace the Anthos, multi-cloud, principles and architecture, Reltio Cloud is the partner of choice for microservices-based customer data hub bringing all internal, external, and 3rd-party data together and using Google analytics components to create true Customer 360 views.

Cloud 75

Cloud MDM Analytics Financial Services 75

Reltio

MARCH 31, 2019

While sharing his outlook at the third Modern Data Management Annual Summit in 2019, Aaron Zornes , Chief Research Officer, The MDM Institute, outlined the capabilities required for the next generation MDM platform. According to him, Graph Technology provides the missing link between domains, data analytics, and IoT.

MDM 40

MDM Digital transformation Analytics Cloud 40