Information Analytics

We need human oversight of machine decisions to stop robo-debt drama

Federal MP Amanda Rishworth raised concerns over the weekend that Australia could be headed for another robo-debt ordeal after the government reportedly confirmed the Australian Taxation Office (ATO) will use data matching to audit childcare rebates. Government agencies increasingly use automated tools to make or facilitate decisions that affect citizens’ lives, but it’s not always appropriate for important decisions to be made by a computer.

Kingland launches Text Analytics Suite

Kingland has announced the general availability of a Text Analytics Suite, offering natural language processing and machine learning technology to accurately and automatically identify, tag and extract data from a variety of sources. Trained language models provide up to 90 percent accuracy across a variety of financial and corporate documents, with highly-tuned, source-specific models for narrow use cases capable of providing over 99 percent accuracy.

Avoiding analysis paralysis and using data to boost growth

Internet traffic is set to explode, with predictions suggesting it could hit 4.8 zettabytes per year by 2022, which is more than three times the 2017 rate. In Australia, this traffic will consist of data flowing between people and applications, including Internet of Things (IoT) sensors and streaming services, and will increase even further when 5G services become mainstream.

The role of unstructured data in AI

The process of making AI systems interact more like humans makes some people uncomfortable, but AI is not about replacing humans. In reality, it is much more about removing the robot from humans.

AI for Automation of Data Migration

Paxata has added a new feature to its Adaptive Information Platform. Intelligent Automation provides a new, smart algorithmic capability that enables business analysts to automate and operationalize complex data preparation projects and flows with the click of a button, accelerating the delivery of analytical projects.

Gartner’s Top 10 Data and Analytics Technology Trends for 2019

Augmented analytics , continuous intelligence and explainable artificial intelligence (AI) are among the top trends in data and analytics technology that have significant disruptive potential over the next three to five years, according to Gartner, Inc.

Text Analytics Suite for cloud or on-premise

Lexalytics has announced that its entire text analytics and natural language processing (NLP) product suite is available for deployment in any computing environment - on-premise; private, public or hybrid cloud; or individual workstation. Previously, the only on-premises option from Lexalytics was its core Salience text analytics libraries which are integrated into existing customer or BI applications. Now, Semantria, the company’s text analytics RESTful API, as well as Lexalytics Intelligence Platform, a complete application for gathering, processing, modelling, analysing and visualizing relevant information extracted from unstructured text, can also be deployed on premises, in addition to a public or private-public cloud, hybrid configuration.

ayfie adds AI workflows for Relativity

ayfie, a software company for information retrieval and big text analytics, has announced the launch of ayfie Inspector for Relativity with Continuous Active Learning methods (CAL), designed to enhance the platform and offer innovative workflows to the Relativity users.

Octopai’s automates Metadata Management for Microsoft BI

Octopai has announced the availability of its cloud-based metadata management automation to enable Microsoft users to locate crucial data and track its movement process across the entire Microsoft business intelligence stack.

Only 5% Of Enterprises Have Implemented Modern Data Sharing at Scale

A new study reveals significant gaps between what enterprises want to implement and what they have actually accomplished with modern data sharing and advanced analytics. In essence, only a small percentage of enterprises surveyed are truly data-driven.

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