Google - Further Information
This page shows up to 100 pieces of content (newest at the top):
The Rise of the Private Data Cloud
Issues of unpredictable costs and security concerns are fuelling the rise in the private data cloud.
Generative AI Value & Limitations
Generative AI has many use cases across industries as well as some limitations.
Overcoming Data Challenges for Innovation in Financial Services through 360-degree Business Solutions from InterSystems
Being able to take advantage of the wealth of data they hold is a key factor in ensuring the success of innovation initiatives for financial services companies.
Options for analytic databases and data warehouses (2023)
This Bloor Market Update report is an overview of the current data warehouse database market, assessing the leading vendors.
Options for analytic databases and data warehouses (2022)
The data warehouse market has been around for over three decades, but has undergone some rapid change in the last few years.
Enterprise Server 3.0
Interest in cost-effectively modernising and exploiting Enterprise Server 3.0, with AI assistance, is increasing.
The Future of Business… using Enterprise Server 3.0 Services
Enterprise Server 3.0 (or Mainframe) modernisation is relevant, cost-effective and avoids waste. David Norfolk investigates.
Pure-play Data Integration
This Market Update examines and compares pure-play data integration, as opposed to solutions that are more platform-oriented.
Remote working, with Social Teams and personalities - A key to being Mutable in practice
This remote working paper is aimed at managers and team members of the effective, resilient, teams needed to manage business continuity in the “new normal”.
API integration, the right data at the right time - Unlocking valuable data with APIs
This report spotlights the evolution of APIs from EDI to EAI to the API Economy. Companies can add value by opening up their data in a controlled, secure way.
Predictive and Prescriptive Analytics
Predictive analytics refers to the ability to predict events before they occur, allowing you to take remedial action in advance. Prescriptive analytics extends this concept by either suggesting the actions you should take or automating those actions.
Machine Learning and Artificial Intelligence
How does ML/AI work, who are the vendors and why you should care?