IBM Big Data Hub

APRIL 18, 2024

Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. Regardless, these are examples of narrow AI. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

Artificial Intelligence 91

Artificial Intelligence Marketing e-Delivery Manufacturing 91

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? Figure 3: PNC Financial Services Group 2015 Annual Report. For example, instead of asking: “What was customer attrition last month?”

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

Reltio

NOVEMBER 9, 2020

This strategy requires a tight interlock between the data strategy and technology and customer experience processes. . You can't deliver omnichannel connected customer experiences if your data is disconnected across functional silos. Now Tech: Customer Data Management Solutions, Q1 2020, by Noel Yuhanna, Forrester Research, Inc.,

Customer Experience 72

Customer Experience MDM Retail Data science 72

Reltio

FEBRUARY 3, 2021

Our customers include global pharmaceutical and life sciences companies, market leaders in healthcare, financial services, and technology, major travel and hospitality brands, and prestigious international luxury consumer brands in fashion, retail, and personal care. Unparalleled Performance.

MDM 98

MDM Cloud Marketing B2C 98

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 73

Data science Manufacturing Artificial Intelligence Retail 73

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? Figure 3: PNC Financial Services Group 2015 Annual Report. For example, instead of asking: “What was customer attrition last month?”

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40