Remove Document Remove Programming Remove Quality Assurance
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AI-powered information management: a catalyst for operational success in the energy industry

CIO Business Intelligence

These large-scale, asset-driven enterprises generate an overwhelming amount of information, from engineering drawings and standard operating procedures (SOPs) to compliance documentation and quality assurance data. Document management and accessibility are vital for teamsworking on construction projects in the energy sector.

Energy 216
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10 hottest IT jobs for salary growth in 2023

CIO Business Intelligence

Skills such as software engineering, architecture, cloud, and program management are highly sought after as more companies explore creating both internal and external applications and solutions. Key skills for the role include resource allocation, risk and change management, quality assurance, communication, and leadership and team building.

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Making intelligent automation work at scale

CIO Business Intelligence

“Organizations have been combining automation and AI technologies for a few years now to improve their business processes,” says Maureen Fleming, program vice president at research firm IDC. “AI Classic examples are the use of AI to capture and convert semi-structured documents such as purchase orders and invoices, Fleming says.

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The early returns on gen AI for software development

CIO Business Intelligence

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. The key to success in the software development lifecycle is the quality assurance (QA) and verification process, Ramakrishnan says.

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The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO Business Intelligence

The role typically requires a bachelor’s degree in information technology or a related field and experience with multiple programming languages. The job requires coding, designing, and building applications, websites, or mobile apps, working with multiple programming languages such as C#, C++, HTML, Java, Microsoft.NET, and SQL Server.

Devops 358
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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

From reactive fixes to embedded data quality Vipin Jain Breaking free from recurring data issues requires more than cleanup sprints it demands an enterprise-wide shift toward proactive, intentional design. Data quality must be embedded into how data is structured, governed, measured and operationalized. Data literacy and recognition.

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Simple Agile Product Development - Social, Agile, and Transformation

Social, Agile and Transformation

The Quality Assurance Analyst must comprehend the full scope to help define the testing approach. User stories and other documentation is the byproduct of these sessions. Shifting to a Market, Program, and Platform Organization. The Business Analyst has to flush out requirements and drive them to patterns. about me. (33).

Agile 147