Remove Business Objectives Remove Data Governance Remove Data Processing Remove Machine Learning
article thumbnail

Rebranding IT for the modernized IT mission

CIO Business Intelligence

A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications. What comes first: A new brand or operating model?

IT 108
article thumbnail

How to build a successful AI strategy

IBM Big Data Hub

Read more about IBM’s AI Ethics governance framework Benefits of a successful AI strategy Building an AI strategy offers many benefits to organizations venturing into artificial intelligence integration. An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Pillar 5: Data governance Establishing the right governance that balances control and access gives users trust and confidence in data.

article thumbnail

The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities. There are numerous features developed by modern software providers based on artificial intelligence such as data alerts. How will AI improve SaaS in 2020? 2) Vertical SaaS. 6) Micro-SaaS.

Software 314
article thumbnail

How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

article thumbnail

The Third Pillar of Data Culture: Data Governance

Alation

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

article thumbnail

The Multifaceted Value Proposition of the Cloudera Data Platform

Cloudera

I have developed this framework to help organizations not only establish the business case for investing in CDP, but also provide a mechanism to prioritize analytical investments based on specific business objectives (e.g., reduce technology costs, accelerate organic growth initiatives). query failures, cost overruns).