Akkio

Algorithm Diversity

Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Model Tuning

Ability to fine-tune models based on monitoring feedback within the platform.

Data Pre-Processing

Ability to wrangle or pre-process data to ready it for model training.

Model Monitoring and Management

Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Data Labeling

Ability to annotate/label data to create a training data set.

Model Training

Ability to train a model with a range of data sets that you provide.

Feature Engineering

Ability to extract and build features from raw data.

Data Ingestion

Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Performance and Scalability

Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Data Exploration and Visualization

Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Ease of Implementation

Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of Customization

Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of IT Administration

This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Data Integration

Use this data to determine whether the product will cause headaches or make data integration easy.

Quality of Features

Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Breadth of Features

Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training

Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Business Value Created

Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Usability and Intuitiveness

End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Vendor Support

The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Product Strategy and Rate of Improvement

Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.