Objects.ai Platform Overview
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Objects.ai offers a platform that simplifies the implementation of machine learning for businesses, promising significant competitive advantages and potential economic boosts. It provides a cloud-agnostic solution, enabling deployment across various platforms while minimizing the complexities and costs associated with machine learning infrastructure. Key features include predictive analytics, anomaly detection, and easy data integration, designed to accelerate the deployment of machine learning applications.
Objects.ai Platform Overview
- 1. Machine Learning for all.
- 2. About Us Objects.AI makes it easy for companies to implement Machine Learning.
- 3. Machine Learning is disrupting all Industries
- 4. Machine Learning will be competitive advantage. The bottom line is that AI has the potential to boost profitability an average of 38% by 2035 and lead to an economic boost of $14T across 16 industries in 12 economies by 2035. Organizations not implementing AI & ML will lag in competition.
- 5. Machine Learning is hard and costly. Implementation requires combination of many different expertise Mix of Cloud Infrastructure like GCP, AWS and GPU hardware Ability to process large amounts of data from internal and external sources Knowledge of frameworks like TensorFlow, Watson, Scikit, H2O, Amazon ML, Azure Math or statistical programming Fast iteration and adoption of new tools to keep up with the market
- 6. What is Objects.AI? Everything you need to build, run and scale Machine Learning Apps Cloud Agnostic Deploy to GCP, AWS, Azure or IBM from one interface Any Data Bring any data - ODBC, Redshift, Mongo, Google Analytics and many more Add-ons Configurable ecosystem with pre-build plugins like Google Analytics Tensorflow Amazon ML SciKit Python R H2O Data ETL Feature Engineering Reports API Event Queue Data Security Reporting Chatbots Segmentation Adtech Image External Data
- 7. Change how you build and deploy Machine Learning ● Spend more time building core features. ● Stop spending time on processing, deploying and managing Machine Learning Infrastructure
- 8. Machine Learning & AI Capabilities ● Predictive Analytics ● Anomaly Detection ● Recommendation ● Personalization Power of Machine Learning without the complexity, infrastructure investments and jargons helps companies stay lean, efficient, and focused on core business.
- 9. How to deploy Objects.AI? Intent Engine Metadata driven Machine Learning. Change as often as business requires without requiring big engineering schedule changes. Developer APIs RESTful API abstraction of ML models. No Devops needed.
- 10. ● Simplified Devops: Easy deployment with no setup cost. ● Integrated Data Services: Connect any data - streaming, files or relational ● Lower Cost of Ownership: Savings on Total Cost of Ownership > 70% ● Fast Delivery: Reduce time to market from months to weeks Benefits
- 11. Accelerate Machine Learning at your organization with Objects.AI. info@objects.ai
Editor's Notes
- #5: https://www.enterpriseirregulars.com/116652/artificial-intelligence-will-enable-38-profit-gains-2035/
- #9: Predictive analytics - e.g. predict bid optimization for AdTech, Retail sales turnover, churn rate. Anomaly Detection - fraud, transactions, service volume, machine breakage. Recommendation - look-alikes, cohorts. Personalization - Email Marketing, ad-tech campaign