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Generative AI: the Shortcut to Digital Modernisation

CIO Business Intelligence

Faster app development: By leveraging Generative AI, companies can automate documentation generation, improve software reusability, and seamlessly integrate AI functions such as chatbots and image recognition into low-code applications. A poorly structured approach to application modernisation also potentially leads to data breaches.

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The Paper Free Office – Fact or Fiction?

CTOvision

With so many electronic signing solutions on the market, it seems odd that offices see the need to stop an all-electronic process to physically collect a signature on paper – which inevitably ends up being scanned into a system. A key role in transforming how documents are handled across a business lies with scan-on-entry.

Survey 275
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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Embedded AI Embedding AI into enterprise systems that employees were already using was a trend before gen AI came along.

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3 commandments that should drive every API strategy

CIO Business Intelligence

We are now bringing this approach to the more monolithic enterprise systems.” Data format should also be centrally managed to ensure uniformity. The enterprise data model must clearly indicate who is accountable for which data. Users of that data need to know they can cache it and use it but never change it.

Strategy 138
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Top 16 business process management tools

CIO Business Intelligence

Today, they run on data and that data is usually juggled, herded, curated, and organized by business process management (BPM) software. There are dozens of tools that fall into this category, including homegrown systems built by the local IT staff. In the past, businesses were said to run on paper. Arrayworks. AuraQuantic.

Tools 119
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What is product lifecycle management? Organizing the development process

CIO Business Intelligence

Product lifecycle management (PLM) is an enterprise discipline for managing the data and processes involved in the lifecycle of a product, from inception to engineering, design, manufacture, sales and support, to disposal and retirement. PLM systems and processes. Product lifecycle management definition.

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How to Manage Business Requirements for IT Initiatives

Future of CIO

E li ci tation, Analysis, Documentation, Reiteration, and Buy-In: The customers, users and all stakeholders including suppliers, partners, and all internal functions hold a stake in the requirements. Depending on the domain and its culture, sometimes a use case model is good for requirements capture, sometimes a formal requirements document.

How To 49