Information Analytics

The stunning successes of artificial intelligence would not have happened without the availability of massive amounts of data, whether its smart speakers in the home or personalized book recommendations. And the spread of AI into new areas of the economy, such as AI-driven marketing and self driving vehicles, has been driving the collection of ever more data. These large databases are amassing a wide variety of information, some of it sensitive and personally identifiable. All that data in one place makes such databases tempting targets, ratcheting up the risk of privacy breaches.

ABBYY has announced a global initiative to promote the development of trustworthy artificial intelligence (AI) technology. As AI becomes ubiquitous across consumer and enterprise high-value and large-scale uses and more open source tools become available for digitizing data, the company says ethical use of accessing and training data is imperative.

Canada’s Maru Group has announced the launch of a next-generation unstructured data analytics tool, Maru/HUB Topic Modelling, using Artificial Intelligence (AI) to deliver better, more accurate results.

Machine Learning is a really common AI technology. People tend to assume that ML means machines teaching themselves – but really, ML means machines learning from people. 

While unstructured data accounts for 75% of enterprise data, it often goes unanalysed. Here's how to get it ready for AI.

OneTrust has introduced OneTrust DataDiscovery, a complete data discovery and classification solution that helps organizations discover and classify data across structured and unstructured data types and cloud, on-premise and legacy systems to automatically fulfill privacy rights requests under the GDPR, CCPA, LGPD and PDPA, and demonstrate compliance through built-in reporting and governance.

To help people understand the flood of data being published about the current COVID-19 Pandemic, Aristotle Cloud Services Australia has created a metadata-driven dashboard that shows definitions, business glossary and data lineage directly alongside the data. The metadata-driven COVID-19 Dashboard is also the first project of Aristotle Labs - a site where we can explore and experiment with new ways metadata can be used to improve how people understand and interact with data.

A major project to digitise a massive archive of HR records for a large Victorian government customer has exploited the AI and next-generation OPEX scanning capabilities at imaging bureau Advance Record Management, headquartered in Geelong.

ElectrifAi has announced the release of ProcurementAi, a cloud-based SaaS product utilizing AI to provide real time actionable insights into spend and contract data.

When we first attempted to define cognitive computing, we found clear differences between it and AI. We posited that for software to be considered a new type of computing - “cognitive,” it must solve problems that were insoluble today. This new class of problem has no precise answers. Instead, it is open to interpretation - it is ambiguous or has no one right answer that is amenable to computation.

Pages