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Rethinking AI’s Impact on Software Development and Testing

Information Week

Adoption of artificial intelligence isn’t just about learning from customer data or supporting line workers. It’s already making an impact in software development processes.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.

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Broadcom launches VMware Tanzu Data Services

Network World

Broadcom on Tuesday released VMware Tanzu Data Services, a new “advanced service” for VMware Cloud Foundation (VCF), at VMware Explore Barcelona. VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” Is it comprehensive? I would have to say yes.”

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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

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Data-Driven Performance Feedback Helps Teams Improve Customer Outcomes

Speaker: Mickey Mantle, Founder and CEO at Wanderful Interactive Storybooks | Ron Lichty, Consultant: Interim VP Engineering, Author, Ron Lichty Consulting, Inc.

In order to be successful at delivering software, organizations need to become data-driven. Teams and their leadership need to leverage data to achieve better customer outcomes. Data-driven performance reviews help to align employee goals and team goals with company goals. How data-driven performance reviews do that.

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7 sins of software development

CIO Business Intelligence

Software development is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Still, it’s impossible to list the endless innovations that software alone has made possible. Over the years software teams have figured out a few rules for getting the job done.

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Unlocking the potential of generative AI in the software development life cycle

CIO Business Intelligence

Generative AI is poised to redefine software creation and digital transformation. The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. advertising, marketing, or software development).

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.