article thumbnail

How to build a successful AI strategy

IBM Big Data Hub

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.

article thumbnail

10 everyday machine learning use cases

IBM Big Data Hub

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Generative AI use cases for the enterprise

IBM Big Data Hub

Design content, ad campaigns and innovative products that build better customer experiences. Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. Teamwork: Assemble a team with expertise in AI, data science and your industry.

article thumbnail

#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

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. “As

article thumbnail

#ModernDataMasters: Michele Chambers, AWS

Reltio

Now businesses are acquiring as much data as they can, trying to exploit it to drive innovation and new customer experiences. It all came out of applying business understanding to data and analytics, and they decided to go ahead with the top ten suggestions.

article thumbnail

Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

For examples, CDPs analyze vast amounts of real-time data generated and aggregated from various repositories, help streamline data standardization, and use AI-powered analysis for modeling and predictive analysis. Digital Experience Platforms (DXP). A good digital experience can underpin a good customer experience.

article thumbnail

Data Secrets to A Successful Drug Launch

Reltio

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. Which interactions matter most for your target physicians, and do you provide a superior customer experience?

MDM 70