AI-Enabled Analysis of Data Sets to Optimize Machine Performance
As Artificial Intelligence continues to be integrated into machine-intensive operations, data scientists and developers need a solution that will expedite the AI technology evaluation process. AI investment hesitance is often exacerbated by the lack of ability to evaluate potential impact of an AI solution by using the client’s existing machine data.
Challenges:
While the potential benefits of AI have broad appeal across every industry, many organizations remain hesitant to invest in AI technology. That hesitance often stems from the inability to conduct a preliminary assessment of the AI technology being considered. This lack of preliminary insights into the efficacy of AI in optimizing the performance of client-specific machines creates a higher sense of risk as well as ROI uncertainty. Specific problems include:
- Data Relevance
- Restricted/Cumbersome Data Ingestion
- Heavy Coding
- Limited Model Tuning
- Visualization
The Solutions - AIStudio
(AI modeling and visualization engine for data scientists)
AIStudio provides data scientists and developers with a feature-rich application that is easy to access, manipulate, and consume. Existing data sets from machines and devices can be easily ingested into AIStudio to evaluate the impact of AI models on that data. A user-friendly process consisting of four basic steps.
- Data Ingestion
- AI Model Tuning and Execution
- Visualization and Assessment
- Optimize
Visit https://micro.ai/ourproducts/aistudio to learn more about the capabilities and impact of AIStudio. or Need Self-Guided Help? please Contact for General Inquiries | MicroAI™.
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