Remove resources outreach-for-customer-success-managers
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. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Automate tedious, repetitive tasks. the generated content) should most likely land.

article thumbnail

Artificial intelligence and a new era of human resources

IBM Big Data Hub

Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. AI could also have the potential to help HR managers identify hidden talent or identify employees ready for promotion.

Insiders

Sign Up for our Newsletter

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

article thumbnail

How to build a successful talent acquisition strategy

IBM Big Data Hub

The success of any organization relies on its ability to attract, retain and develop top talent. Beyond simply filling open roles, a comprehensive talent acquisition strategy encompasses a holistic approach to talent management , from identifying organizational needs to nurturing relationships with potential candidates.

article thumbnail

Contingency plan examples: A step-by-step guide to help your business prepare for the unexpected

IBM Big Data Hub

For example, how you react to a disruptive technology or cope with a sudden change in the markets can be the difference between success and failure. For example: What if a fire broke out in the warehouse where you keep confidential customer records? Contingency planning is the art of preparing for the unexpected.

Risk 40
article thumbnail

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

ARMA International

Here, Part 1 discusses the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how the trends are affecting business users and customers. Part 3 will discuss how to manage the various DT risks. Introduction. This is a best-case scenario.