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4 Recommendations for Maximizing ROI in Artificial Intelligence Solutions

CDW Research Hub

As AI use cases start meeting their initial business objectives, initial infrastructure decisions can either accelerate the deployment of subsequent use cases or stall them. Businesses should be ready to adapt to these outcomes while being flexible regarding infrastructure. Consider on-premises and/or cloud processing.

ROI 79
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Bringing an AI Product to Market

O'Reilly on Data

This tradeoff between impact and development difficulty is particularly relevant for products based on deep learning: breakthroughs often lead to unique, defensible, and highly lucrative products, but investing in products with a high chance of failure is an obvious risk. Data Exploration and Experimentation.

Marketing 362
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Automating Model Risk Compliance: Model Validation

DataRobot Blog

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. Furthermore, due to their relative simplicity in model structure, these models were very straightforward to interpret.

Risk 52
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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Data and network access controls have similar user-based permissions when working from home as when working behind the firewall at your place of business, but the security checks and usage tracking can be more verifiable and certified with biometric analytics. 4) AIOps increasingly became a focus in AI strategy conversations.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Apart from pricing, there are numerous other factors to consider when evaluating the best AI platforms for your business.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. To learn more about Creating an End-to-End Infrastructure for AI Success , read the IDC white paper and visit Dell.com/AI. Just starting out with analytics?

Analytics 130