article thumbnail

What you need to know to accelerate your cloud and data strategy

CIO Business Intelligence

Before organizations map an architectural approach to data, the first thing that they should understand is data intelligence. Phil Perkins, the co-author of The Day Before Digital Transformation , will discuss the most effective applications of AI being used today and what to expect next. Another top trend is AI.

article thumbnail

Q&A Tuesday: Jonathan Reichental on Digital Transformation and 21st-Century Excellence

Jet Global

He is also an author, speaker, and thought leader helping to shape the conversation around digital transformation and 21st-century excellence. Every business today is a technology business and the fuel that largely powers it is data. If a data strategy is not being executed today, you’re already late.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies. Data Center, Data Management, Digital Transformation

article thumbnail

IT to thank for most of Radisson Hotel Group’s business initiatives

CIO Business Intelligence

We closed three of our own data centers and went entirely to the cloud with several providers, and we also assembled a new data strategy to completely restructure the company, from security and finance, to hospitality and a new website. You mentioned assembling a new data strategy to restructure the company.

IT 114
article thumbnail

What Stands Between IT and Business Success? Data Complexity

CIO Business Intelligence

Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture. This might have worked for one team or one project or one application, but the end result of this effort was to lock data in a variety of silos across the organization.

IT 133
article thumbnail

What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. But what is the right data modeling approach?

article thumbnail

Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.