Information Analytics

High performance data management is critical: MIT Report

A new report by MIT Technology Review Insights explores how decision-makers from leading organizations excel by deploying advanced cloud-based technologies, including analytics and machine learning capabilities.

Open Source tool for Text Extraction

AI startup Sorcero Inc. is releasing a free open source software ingestion framework it calls Ingestum.

Clarifai expands AI product portfolio

Clarifai has announced a set of new offerings based on its deep learning AI platform for managing unstructured image, video, text and audio data.

Worksoft introduces Process Intelligence with AI-Powered Analytics

Worksoft, a provider of end-to-end enterprise automation for complex custom and packaged applications like SAP, Oracle, Salesforce, Workday and more, has announced the expansion of its Connective Automation Platform to include AI-driven analytics capabilities.

Top 10 Data and Analytics Technology Trends for 2021: Gartner, Inc.

Analyst firm Gartner, Inc. has announced its predations for the top 10 data and analytics (D&A) technology trends for 2021.

Kensho launches new Text Analysis Product

Kensho announced this week the launch of its latest product, Kensho NERD, a cutting-edge machine learning system that unlocks the full potential of textual data by finding entities mentioned in documents, newsfeeds, or other text and linking each to a corresponding record in a database.

What are the essential ingredients of Capture 2.0?

The teaming of advanced machine learning technologies with traditional OCR and Robotic Process Automation (RPA), is providing new possibilities for organisations overwhelmed with processing a digital deluge of messages and documents. Frank Volckmar, Managing Director of TCG Australia and New Zealand, believes the possibilities unleashed by these new cutting-edge technologies have unleashed a new paradigm, variously described as ‘Hyperautomation’ or ‘Capture 2.0’.

California adopts AI-Based bushfire detection

California's Sonoma County has turned to South Korean visual recognition AI firm, Alchera Inc. to provide early warning alerts of pending “wildfire” events (commonly described in Australia as bushfires).  Alchera will offer consulting services to develop and deliver products utilizing state-of-the-art fire detection technologies based on machine learning with Artificial Intelligence (AI). The firm's visual anomaly detection solution can detect the start of a wildfire from a simple video.

[Case Study] A Winning Formula for combining AI with process automation

Deemed as one of the marvels of the 21st century, Artificial Intelligence (AI), is predicted to open a gateway of opportunities for new businesses. The reality is that smart companies are implementing AI in existing processes today to ensure they are well-positioned to deal with a threatening and hyper-competitive business landscape. In 2019, growing Australian company Civium undertook a journey with solutions provider Winning Formula to deploy AI and robotic process automation (RPA) to deliver new levels of efficiency throughout the business, including in invoice processing, for its operations in Sydney, Melbourne, Brisbane and Canberra.

How QBE Leveraged AI To Transform Claims Operations

Australia is home to a well-developed workers’ compensation system. Each state determines the design of its scheme, with some being privately underwritten by insurers and others being state-run schemes. Claims across territories vary by industry, injury and complexity. As such, insurers need systems that can enable quality, efficient handling of claims to facilitate the health of injured parties and get them back to work as quickly as possible. Approximately three years ago, QBE’s Australia Pacific division, like many other insurers, was running what we would describe as a “process-compliant business” when it came to workers’ comp claims. Leadership wanted to do more to eliminate manual processes and take advantage of claims adjusters’ expertise to get the best result for customers and their employees. They knew technology was the key.

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