Information Analytics

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.

Everything accomplished in an organization requires a series of business activities, which together comprise a process. Whether the organization is a hospital, bank, manufacturer, or any other type of business, its level of success is directly tied to how well it performs and manages its many business processes.

Today’s companies put huge efforts into negotiating the best terms with their suppliers. Procurement teams regularly spend weeks or months going back and forth on contract terms and volume discounts to get the most bang for their buck. Too often, these savings aren’t realized.

We commonly accept that Enterprise Architecture is informed by business strategy. This assumption is deeply embedded in our mainstream methodologies, so why do so many architectural projects go wrong at great operational and financial cost?