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Why do digital transformation projects fail? Research by content capture and data discovery vendor Ephesoft suggests it is because knowledge workers are forced into being data detectives at each step of the business process, having to create their own links to contextual data as if leading a criminal investigation.

As supply chains become more global and complex, processes are becoming increasingly challenging to monitor and optimize. Identifying the root cause of inefficiencies can prove difficult without having a comprehensive view of operational workflows.

A Washington state-based startup, Docugami, has secured $US10 million seed funding to help develop am AI based platform that promises to transform how businesses create and manage documents for greater productivity, compliance, and insight.

Businesses globally face a “digital ceiling” when it comes to digital transformation, according to new research from Infosys Knowledge Institute (IKI), the thought leadership and research arm of Infosys. The study reveals that businesses must change their mindsets to achieve sophisticated levels of digital maturity.

Imagine an office where the devices personalise themselves for you on-demand and repetitive tasks are completed with one click, no matter where in the world the worker is. Well, such innovations are a reality thanks to new apps developed by RBC Group, which integrate with HP multifunction devices and users it seems, could not be happier.

Whether processes are being simplified, transformed or automated, they should be organised and controlled through solid Business Process Management (BPM). The workforce of the future will be a seamless blend of humans and machines doing those tasks they are more suited to. Whether it’s a human or digital pair of hands that’s actually completing the work, poor process management will only drive inefficiencies and errors.

Your organisation has likely gotten caught up in the world-wide trend of migrating to Office365 and SharePoint on-line.  In doing that you have probably had conversations with various IT staff where you’ve heard words and phrases like: “Teams, Dynamic Groups, Channels, AIP, Flow, LogicApps, PowerApps, evergreen” to the point where it sounds like English, but you have no idea what they’re talking about, let alone understanding the risks and advantages. 

Hacking into voting machines remains far too easy. It is too soon to say for sure what role cybersecurity played in the 2020 Iowa caucuses, but the problems, which are still unfolding and being investigated, show how easily systemic failures can lead to delays and undermine trust in democratic processes. That’s particularly true when new technology – in this case, a reporting app – is introduced, even if there’s no targeted attack on the system.

The Australian government’s Digital Transformation Agency (DTA) has spent more than A$200 million over the past five years developing a National Digital ID platform. If successful, the project could streamline commerce, resolve bureaucratic quagmires, and improve national security. The emerging results of the project may give the Australian public cause for concern.

The massive amounts of hype and promise surrounding AI and related technologies like machine learning and deep learning, is preventing organisations from making critical innovation and investment decisions, according to a new report from research and advisory firm Lux Research.

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