About This Constellation ShortList™

Artificial intelligence (AI) platforms enable organizations and individuals to build intelligent applications based on data. AI platforms must provide the facilities to ingest complex data, address rapidly generated or constantly evolving data, rectify and amplify hard-to-find signals, craft models where human-powered analytics are slow, enable resolution for highly iterative models, decrease the time to generate models and improve accuracy rates.

Seven key components for AI success include the ability to handle large amounts of complex data, deliver massive compute power, compress time, provide math talent, embody domain expertise, leverage human user experience and support contextual decisions. Best-of-breed platforms do not rely on one cloud vendor to handle the complex data, massive compute power and time compression. Instead, they reserve the option to apply a multicloud strategy.

The end goal of AI platforms is to provide the infrastructure to support contextual decisions. These contextual decisions power an array of AI-driven smart services required to deliver next best action across a range of business processes. These solutions typically do not come from an infrastructure-as-a-service vendor or cloud compute infrastructure provider.

The market has seen vast consolidation and some attrition as large hyperscale cloud companies have made some acquisitions and others have merged or exhausted funding.


Threshold Criteria

Constellation considers the following criteria for a complete solution. Leading providers deliver on five out of eight requirements:

  • Provides access to scalable computing infrastructure (cloud, hybrid or on-premises)
  • Offers compute power acceleration
  • Delivers advanced natural language processing (NLP)
  • Furnishes microservices and application programming interface (API)-driven access to algorithm libraries and services
  • Supports automation of processes
  • Supplies supervised and unsupervised learning
  • Facilitates machine learning interpretability
  • Enables automatic visualization
  • Detects anomalies 
  • Facilitates a tool kit or low-code algorithm creation 
  • Provides recommendations, rankings, and data labeling 
  • Supports ML Ops pipelines

The Constellation ShortList™

Constellation evaluates more than 50 solutions categorized in this market. This Constellation ShortList is determined by client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research.

  • AERA TECHNOLOGY
  • AIBLE
  • C3AI
  • GOOGLE
  • INFOSYS
  • LATENT.AI
  • MICROSOFT
  • AZURE
  • OCTOML
  • OPENAI
  • SERVICENOW
  • TCS

Frequency of Evaluation

Each Constellation ShortList will be updated at least once per year. There could be an update after six months, should the analyst deem it necessary.

Evaluation Services

Constellation clients may work with the analyst and research team to conduct a more thorough discussion of this ShortList. Constellation can also provide guidance in vendor selection and contract negotiation.

 

Download Research Click to Download Report