Enterprise Applications

Financial institutions across Australia are finally waking up to the reality that cyber security threats and attacks are constantly evolving, and the bad actors behind them are relentless. Not only this, but they are becoming more and more sophisticated and advanced in terms of what they will use to launch a cyber attack. 

It strikes me as paradoxical that businesses feel very secure in using artificial intelligence to let people know, for example, when it is safe to make a lane change at 100 kilometres per hour, yet they are reticent to use the same technology to classify and manage information through its lifecycle. Artificial Intelligence is used almost every minute of every day, in nearly every smart device we own. 

70% of executives believe that generative AI will enable organisations to widen the scope of the roles of knowledge workers, according to a Capgemini survey of 1000 business across 13 countries.

Ripcord and Oracle have announced a partnership that combines Ripcord's Document Intelligence as a Service (DIaaS) with Oracle ERP products, promising to transform the way companies manage their documents and activate their data.

The newly-released expert.ai Platform for Insurance powers underwriting and claims solutions so that insurers can use natural language processing to eliminate documents from review cycles, extract needed data and prioritize which submission or claims need an expedited review or to be assigned to a senior adjuster based on complexity.

Indico Data, a developer of intelligent intake solutions for unstructured data, has announced the launch of its integration with Microsoft Azure OpenAI Service. This extends Indico’s Enterprise Large Language Model (LLM) capabilities using the latest in generative artificial intelligence (AI).

Microsoft and Google have recently made big investments in two of the most valuable companies in artificial intelligence (AI). OpenAI, which developed ChatGPT, has received a staggering investment of US$10 billion (£7.8 billion) from Microsoft, while Google has invested US$300 million in Anthropic.

Kyndi has announced several new enhancements to its natural language processing offerings, including advanced generative AI capabilities, enhanced analytics, and automated query suggestions.

​Generative artificial intelligence (AI), and specifically large language models (LLMs), will change how organizations design jobs, resource tasks and allocate responsibilities across the enterprise. However, LLMs come with a unique set of risks when compared with other AI implementations. 

Practices such as impact assessments, data curation, fairness measures, pilot studies and organisational training are some of the simple but effective approaches described in a new report that can help Australian businesses develop robust and responsible artificial intelligence (AI).

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