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Lessons from the field: How Generative AI is shaping software development in 2023

CIO Business Intelligence

Specifically, organizations are contemplating Generative AI’s impact on software development. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. Engineers need to understand how to phrase prompts for AIs.

Software 114
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Mastering budget control in the age of AI: Leveraging on-premises and cloud XaaS for success 

IBM Big Data Hub

From software as a service (SaaS) to infrastructure as a service (IaaS), platform as a service (PaaS) and beyond, XaaS enables organizations to access cutting-edge technologies and capabilities without the need for upfront investment in hardware or software.

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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 363
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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. What Is Model Risk?

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Camunda simplifies process automation with new AI-powered natural language features

CIO Business Intelligence

Behind this relatively simple transaction lie multiple processes that require the coordination of different software systems, human decision making, layers of communication, and the prioritization of different events. This has led to big claims that run the risk of hype and disappointment down the line. They will be added to Camunda 8.5

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 126
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Five open-source AI tools to know

IBM Big Data Hub

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan’s Athena uses Python-based open-source AI to innovate risk management.