Remove Cost-Benefit Remove Data Enablement Remove Digital Transformation
article thumbnail

The Failed Promises of Digital Transformation and What to Do About It

Ontotext

Digital Transformation, which has been a top priority for CEOs and boards of directors for many years, has had mixed results. As graph data platforms become more widely understood, they play a key enabling role in delivering on many of the failed promises of Digital Transformation. Let’s be frank.

article thumbnail

Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 111
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 hybrid cloud strategy

IBM Big Data Hub

For instance, organizations can capitalize on a hybrid cloud environment to improve customer experience, comply with regulations, optimize costs, enhance data security and more. For instance, some public cloud providers charge extra for data egress (e.g.,

article thumbnail

Why your IT team needs to upgrade its digital employee experience (DEX)

CIO Business Intelligence

But recent research by Ivanti reveals an important reason why many organizations fail to achieve those benefits: rank-and-file IT workers lack the funding and the operational know-how to get it done. There are enormous benefits in improving digital employee experience, and DEX remains an area that executive leaders are optimistic about.

IT 119
article thumbnail

Smart manufacturing technology is transforming mass production

IBM Big Data Hub

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.

article thumbnail

12 considerations when choosing MES software

IBM Big Data Hub

If you are experiencing inefficiencies, bottlenecks, quality control challenges or compliance issues in your production processes, an MES can provide real-time data and performance analysis across production lines to identify and address these issues promptly. Compliance and security: For industries with strict regulatory requirements (e.g.,

article thumbnail

How to choose the best AI platform

IBM Big Data Hub

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. It does this by identifying named entities, parsing terms and conditions, and more.