IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). For example, many use it to contact users who leave products in their cart or exit their website. Machine learning in financial transactions ML and deep learning are widely used in banking, for example, in fraud detection.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

Bill Schmarzo - Dell EMC

MARCH 5, 2018

For example, PNC Financial Services Group’s annual report mentions the business initiative to “grow profitability through the acquisition and retention of customers and deepening relationships.” sales, finance, marketing, logistics, manufacturing) as well as external constituents like partners, suppliers, and don’t forget, the customers!

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

IBM Big Data Hub

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing.

Artificial Intelligence 122

Artificial Intelligence Marketing Sales Communications 122

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

Bill Schmarzo - Dell EMC

MARCH 5, 2018

For example, PNC Financial Services Group’s annual report mentions the business initiative to “grow profitability through the acquisition and retention of customers and deepening relationships.” sales, finance, marketing, logistics, manufacturing) as well as external constituents like partners, suppliers, and don’t forget, the customers!

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

Information Matters

DECEMBER 7, 2018

Retailers are most at risk globally, with 62% of respondents willing to walk away after a data breach, followed by banks (59%) and social media sites (58%), according to a survey of 10,500 consumers by digital security firm Gemalto.” 71% of UK businesses at risk due to data skills gap, CEOs say – TechRepublic, 26 November 2018.

IoT 40

IoT Blockchain Personal data Analytics 40

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. For example, when a new drug is launched, it helps track sales performance compared to projections so that you can adjust strategies whenever needed.

MDM 70

MDM Sales Customer Experience Marketing 70

ARMA International

SEPTEMBER 13, 2021

Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.” CDPs apply specialized technologies and pre-built processes that are tailored precisely to meet marketing data needs.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Reltio

JULY 31, 2019

If you keep doing the same things with the same data you will get the same results and everyone wants new results. You have to infuse your data with new data – use behavioural and operational data together for example – if you want new insights.

Analytics 49

Analytics Blockchain Cloud Artificial Intelligence 49

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 77

Data science Manufacturing Artificial Intelligence Retail 77

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 58

Artificial Intelligence Marketing Unstructured data Manufacturing 58