Rapid advances in the capabilities of generative AI software have caused many engineers to wonder how this technology can help them look more brilliant, improve their productivity and avoid mistakes.

Many software developers have incorporated generative AI concepts into their apps, and engineers are embracing their new AI copilots for a variety of everyday tasks.

Project management

Engineers manage many projects. This is a difficult task, especially for digital transformation projects with their complex integrations. Engineers are often looking for tools to reduce risk and improve performance.

For example, ClickUp, Forecast, Hive, Notion, Project Planner, Project Insight, and Wrike use artificial intelligence to:

• Optimize resource allocations and workload management.

• Calculate project schedules based on task precedence and priorities.

• Prepare project status reports.

• Monitor project progress and recalculate forecasts.

• Calculate task cost estimates and costs at completion.

• Manage project costs and variance.

Business process automation

Large and small organizations use multiple apps to automate various business processes. Expanding and enhancing automation is central to digital transformation initiatives. Generative AI capabilities created an opportunity for many app vendors to upgrade the functionality of their product offerings. Example business processes for which app vendors offer AI-enhanced solutions include:

Accounts payable automation

• Content creation

• Credit scoring

• Customer service interactions

• Diagnostic image analysis

• Resume evaluation

• Robotic Process Automation (RPA)

• Routing optimization

• Server log analytics for cyber security defense

• Workflow automation

This list of business processes can help engineers identify an automation opportunity that can improve work quality or reduce cycle times at their organization.

Vendors that offer AI apps for one or more of the business processes listed include Anyword, Automation Anywhere, Datadog, MarketingBlocks, Microsoft, Quadient, Splunk, SS&C Blue Prism, Texta.ai and UiPath.

Research

Engineers search for products, technologies and academic research to solve technical problems, advance designs and explore digital transformation. The software market offers several AI apps to help engineers conduct research and manage the results.

For example, Consensus, ChatPDF, Elicit, QuillBot, Research Rabbit and Semantic Scholar use artificial intelligence to speed up research tasks, increase relevant output, and offer insightful data. These apps provide some combination of the following capabilities:

• Search for relevant articles based on the prompt text.

• Summarize articles in the result set.

• Identify relevant results even if the article does not contain keywords from the prompt phrase.

• Track their research progress.

• Help to structure prompt phrases.

• Receive feedback on the likely importance of their work.

• Collaborate with other engineers.

• Extract text from PDFs.

• Create bibliographies.

Software development

Most engineers spend some time developing informal software for tasks including data analysis for digital transformation, design and troubleshooting equipment performance lapses. Any tool that can increase productivity and reduce mistakes would be helpful.

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