article thumbnail

Rediscovering the value of information

CIO Business Intelligence

In his dissertation at Stanford in 1976, smartphone pioneer and founder and CEO of General Magic Marc Porat correctly prophesied that the future would be defined by “ information machines, information workers, and information companies.” It is high time to get serious about information management.

Strategy 121
article thumbnail

The future of data architecture is hybrid: choosing your hybrid-first data strategy starts at Cloudera Now 2022

Cloudera

The truth is, the future of data architecture is all about hybrid. Hybrid data capabilities enable organizations to collect and store information on premises, in public or private clouds, and at the edge — without sacrificing the important analytics needed to turn that information into insight.

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

Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Below we’ll go over how a translation company, and specifically one that provides translations for businesses, can easily align with big data architecture to deliver better business growth. How Does Big Data Architecture Fit with a Translation Company? Using a Translation Company with Your Big Data Strategy.

article thumbnail

How the right data and AI foundation can empower a successful ESG strategy

IBM Big Data Hub

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

article thumbnail

Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. With the right generative AI strategy, marketers can mitigate these concerns.

Marketing 116
article thumbnail

Global executives and AI strategy for HR: How to tackle bias in algorithmic AI

IBM Big Data Hub

Although some third-party vendor information may be proprietary, the evaluation team should still review these processes and establish safeguards for vendors. With numerous rules varying in degree, organizations should stay informed and comply with the requirements to avoid any potential legal and ethical consequences.

article thumbnail

The steep cost of a poor data management strategy

CIO Business Intelligence

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For example, smart hospitals employ effective data management strategies. Learn more about data architectures in my article here.

Strategy 107