Datatron VS Akkio
Compare Datatron VS Akkio and see what are their differences
Grow Revenue, Reduce Customer Churn, Retain Customers. Reward-driven customer loyalty & retention programmes, partner marketing platform and referral programmes
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Datatron
Algorithmia
MCenter
neptune.ai
5Analytics
Numericcal
Spell
Seldon
Akkio
Algforce.ai
Lobe
Obviously.ai
Machine Learning Playground
Amazon Machine Learning
Spell
Microsoft Power BI
Datatron AkkioBased on our record, Akkio seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is very cool! Thanks for sharing. Akkio (disclaimer: associated with the tool) also released a similar feature, where you can type in your prompt and the datasets (whether it's a csv import, Google Sheet integration, or one of the other db options) will update accordingly. It removes the need for SQL entirely. Microsoft BI now includes advanced no-code queries, Google Analytics 4 answers question in... Source: over 1 year ago
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
Algforce.ai - Natural language data query, AI data insight, and data collaborative construction. Integration services for office software and internal application embeddings are coming soon.
MCenter - Machine Learning Operationalization
Lobe - Visual tool for building custom deep learning models
neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
Obviously.ai - The entire process of running Data Science - building Machine Learning algorithm, explaining results and predicting outcomes, packed in one single click.