Category: All
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AI Data Collection & Cleansing: Essential for Effective Data Preparation
Learn why data collection is vital for AI projects and discover how to plan an effective data collection strategy. #DataCollection #AIPlanning
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AI In ERP: Oracle OCI: In-Database Machine Learning for Data Scientists
Save time with in-database machine learning in Oracle Database. Process data, build models, and deploy them seamlessly. Enhance your data science workflows. #MachineLearning #DataScience
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AI In ERP: Oracle OCI: Accelerate Data Labeling with OCI Data Labeling
Streamline data labeling for machine learning with OCI Data Labeling. Label text, documents, and images quickly and export data with ease. Seamlessly integrate labeled datasets into your workflows. #DataLabeling #MachineLearning
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AI In ERP: Oracle OCI: OCI Language: A Multilingual AI Powerhouse
Discover OCI Language’s ability to detect languages, analyze sentiment, categorize documents, and more. Leverage its prebuilt acoustic and language models for text analysis. #OCILanguage #MultilingualAI
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Generative AI – What’s under the Hood: Responsible Adoption & AI Lifecycle
Unveil the nuances of adopting Generative AI in the enterprise, and explore its potential. Dive into the AI lifecycle to ensure safe, scalable, and responsible AI integration. #GenAI #EnterpriseAI
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Generative AI – What’s under the Hood: Data Collection from Diverse Sources and Bias Mitigation
Learn how to collect diverse data sources for training Generative AI models and mitigate bias. Harness the power of data from various origins. #DataCollection #BiasMitigation
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Generative AI – What’s under the Hood: Ensuring Safe and Ethical Usage with Responsible AI
Dive into the importance of responsible AI in both predictive and generative AI. Discover the potential and challenges of GenAI and the need for regulations. #ResponsibleAI #AIRegulations
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Generative AI – What’s under the Hood: Data Preparation, Training, and Model Monitoring in AI Lifecycle
Explore the key phases of the AI/ML lifecycle, from data preparation to model monitoring. Uncover the common MLOps pipeline for successful AI integration. #DataPreparation #MLOps
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AI In ERP: Deep Dive into OML Libraries and Notebooks
Discover the extensive tools in OML, including OML4Py and OML4SQL. Explore data selection, manipulation, feature engineering, and various predictive models. #OMLTools #DataScience
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AI In ERP: OML4Py: Python-Powered Predictive Modeling
Explore OML4Py, diving into data manipulation, object handling, AutoML, data cleaning, and more. Enhance your Python-based predictive modeling with OML4Py. #OML4Py #PredictiveModeling