Dataiku
Scikit-learn
Pandas
NumPy
OpenCV
Exploratory
htm.java
WEKA
Ignithos Customer Data Platform Accelerator
Ignitho’s CDP accelerator allows implementations in as little as 2 weeks. By keeping the AI use cases front and center, the CDP accelerator provides an integrated solution framework. The CDP accelerator is industry specific and comes bundled with predefined AI models to cater to the most important use cases. This ensures that your implementations are rapid and meet a very tangible business need.
If additional AI models are needed, they can be added quickly making the accelerator very scalable.
Your CDP implementation is not just an aggregated repository of customer data with visualizations and basic segmentations.
View a demo of our CDP Accelerator that provides an integrated solution framework. https://dashboard.mailerlite.com/forms/425317/88596354137327168/share
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Ignithos Customer Data Platform Accelerator's answer:
Microsoft, DOMO, AWS, Snowflake, Databricks
Ignithos Customer Data Platform Accelerator's answer:
Our Primary audience are the enterprises who need customer data analytics in Retail, Media, healthcare, fintech industry.
Ignithos Customer Data Platform Accelerator's answer:
Ignitho’s CDP accelerator allows implementations in as little as 2 Weeks.
Ignithos Customer Data Platform Accelerator's answer:
By keeping the AI use cases front and center, the Ignitho's CDP accelerator provides an integrated solution framework. As the power of AI becomes more accessible, digital first organizations must embrace the concept of the CDP to enhance the effectiveness of customer analytics. The following are some key takeaways: 1. Integration of AI insights into business applications using APIs must remain top of mind to maximize the business impact 2. A balanced coupling between the enterprise data lake and a CDP must be created. Data does not always have to be duplicated, and even if duplicated there are ways to provide the updates back to the source systems. 3. Choice of platform ranges from custom to a licensed product. A CDP accelerator can offer a good balance. Make a choice after considering your requirements and tech landscape.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
NumPy - NumPy is the fundamental package for scientific computing with Python
OpenCV - OpenCV is the world's biggest computer vision library
Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.