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A collection of Protiviti blogs. 

Blogs

June 19, 2024

Leveraging AI in finance – Move from theory to practice

Finance leaders are actively prioritising practical AI use cases that deliver near- and long-term value. And the reason is simple: the benefits of deploying AI to strengthen specific activities are proving to be well worth the investment.
Background On 16 February 2023, the Attorney-General’s Department released its Privacy Act Review Report (the Report) following a two-year review of the Privacy Act 1988 (Cth) (the Act). The Report contains 116 recommended amendments to the existing Act to strengthen the protection of personal information and the control individuals have over their information. If accepted and adopted, the recommendations will…
DevSecOps is an organisational software engineering culture and practice that aims at unifying software development (Dev), application security (Sec), and operations (Ops). The main characteristic of DevSecOps is to monitor and apply security at all phases of the software lifecycle: Planning, development, integration, delivery, deployment and production. Looking at DevSecOps through an IT professional’s lens, the…
Over the last few months, both business and technology worlds alike have been abuzz about ChatGPT, and more than a few leaders are wondering what this AI advancement means for their organisations. Let’s explore ChatGPT, generative AI in general, how leaders might expect the generative AI story to change over the coming months and how businesses can stay prepared for what’s new now – and what may come next.
This blog post was authored by Chris Hanson - Director, Danielle Baumann - Senior Manager, Enterprise Application Solutions on The Technology Insights Blog. As more and more retailers build strategies to address supply chain challenges, customer experience and ease of doing business, many have come to the realisation that there may not be a single best solution for their various needs. This, coupled with point-of-…
I am often asked, with all the investments in data management and infrastructure over the last 50 years, why are we still not great with governing data? To put it simply and directly – it’s hard! Data governance programmes are easy to envision conceptually, difficult to implement, and without proper care, impossible to sustain. Often data governance investments have a long ‘time to value’ ROI, making showing…
Microsoft Dynamics 365 Finance and Supply Chain Management (D365 F&SCM) publishes security changes with new code releases. These changes are automatically applied to out-of-the-box security roles, duties and privileges when the code is upgraded in a given environment. However, manual migrations between development, test and production environments are required when maintaining a customised security design that…
Technical debt is no longer just a “technical” problem. As recent, widely publicised events have shown, it is a business problem that can have serious consequences for organisations. The government and Congress are taking notice of unfair consumer experiences, and it is crucial for businesses to address their technical debt and minimise the risk of negative press, government fines and damaged reputations.
Leaders of energy and utilities (E&U) businesses are becoming increasingly focused on the business impacts of rapidly evolving technology. According to Protiviti’s latest Executive Perspectives on Top Risks Survey, many of these leaders see their companies struggling over the next decade to adopt digital technologies effectively, use data analytics and “big data” to drive competitive advantage, and keep pace…
China is poised, and perhaps more determined than ever, to make the metaverse central to its economy in the future. China wants to expand the VR industry output to 350 billion yuan (U.S. $48 billion) by 2026 — six times the level of 2021 — showing it aims to become a world leader in the emerging metaverse economy.
Process Mining
March 10, 2023
AI Learning To Reconstruct How Your Business Processes Actually Perform Process Mining uses AI and machine learning to extract existing data from an organisation’s IT systems to visually reconstruct how processes actually perform. The data shows what is actually happening and creates a complete process map, capturing the “core” process flow and every variant to the core process flow. It identifies areas of…
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