Information Analytics

We are all familiar with the proverb “necessity is the mother of invention.” In an interdependent global economic environment, anticipating unexpected risks is built into the DNA of every organization, large and small. But nothing could have prepared us for the pervasive impact of this pandemic. According to a survey by the Institute of Supply Management, 75% of companies are reporting significant supply chain disruptions, which is unprecedented in modern times. Just in time inventory and dependence on lowest cost suppliers, the hallmark of modern supply chain management, now represents risks to businesses.

AI developer Clarifai claims to have developed a new way of labelling unstructured image, video and text data. Clarifai has built one integrated tool for managing data annotation projects of any size in its end-to-end AI platform.

Stratifyd has launched a new analytics engine designed to allow business users – regardless of education, skill, or job function – to harness the power of proprietary and third-party data to easily reveal and understand hidden stories represented within the data, thus delivering the benefits of a data science team to every organization.

Software developer Aparavi has launched a new platform available  in the Azure Marketplace that enables data discovery with automated classification and data optimization (including removal).

Australia’s Digital Transformation Agency (DTA), established in 2016 to promote digitisation of government services, is set to undertake a digital journey of its own as part of the Commonwealth Digital Records Transformation Initiative (DRTI).

Gartner, Inc. has released a list of its top 10 data and analytics (D&A) technology trends for 2020 that can help organisations prepare for a post-pandemic reset.

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. 

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