Remove Data Warehouse Remove Data-driven Remove Digital Transformation
article thumbnail

SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

article thumbnail

Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

Analytics 112
Insiders

Sign Up for our Newsletter

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

article thumbnail

Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. Probably not.

article thumbnail

Digital Transformation in Municipal Government: The Hidden Force Powering Smart Cities

erwin

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance.

article thumbnail

Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Fig 1: The Enterprise Data Lifecycle.

article thumbnail

The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

article thumbnail

The Ultimate Guide to Data Warehouse Automation and Tools

Jet Global

Executives increasingly rely on data and advanced analytics to make business decisions. They also need the ability to access and parse that data faster and in more creative ways. Meanwhile, the data that businesses have access to and the number of systems producing that data are growing at lightspeed.