Artificial Intelligence and Machine Learning Implementation Platform Growth Opportunities

Artificial Intelligence and Machine Learning Implementation Platform Growth Opportunities



Globally, businesses are reestablishing themselves in geopolitically unstable markets, with an emphasis on unlocking data's potential and leveraging artificial intelligence (AI) to support business outcomes. About 87% of enterprises believe AI and machine learning (ML) are important in achieving business goals to grow revenue, increase operational efficiencies, and improve the customer experience. Also, megatrends emerging across industries are pushing AI technologies to the forefront of digital transformation, sparking innovation in business models, turbocharging operational efficiencies, disrupting value creation, and setting new benchmarks to drive strategic differentiation.

The emergence of AI and ML implementation platforms enables enterprises to jumpstart their AI adoption journey. These implementation platforms provide support in building, deploying, and monitoring ML model development and operationalization processes. They also facilitate end-to-end ML life cycle development processes—from data ingestion to the visualization of business insights.

This report highlights key emerging trends in the AI and ML implementation platform industry, offers insights into a few industry platform capabilities, and discusses drivers and restraints that impact the AI market. Additionally, the research offers insights for platform vendors into a growth opportunity related to developing industry-specific business models that enterprise customers can leverage.


Strategic Imperatives
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on Artificial Intelligence (AI) and Machine Learning (ML) Implementation Platforms
Growth Opportunities Fuel the Growth Pipeline Engine™
Background—AI and ML Implementation Platforms
AI—A Technology Priority for Global Enterprises
AI-based Models and Frameworks Drive Efficiency in Enterprise Decision-making
Enterprises Are Advancing on Their AI Adoption Journeys
Growth Drivers
Growth Restraints
Increased Commercial Platforms Enable Enterprises to Shift from the Need to Build In-house Platforms
AI and ML Implementation Platform—Definition and Segmentation
AI and ML Implementation Platforms Are Primary Enablers in Kickstarting the AI Adoption Journey
Growth Environment—AI and ML Implementation Platforms
Key Trends in the AI and ML Implementation Platform Industry
AI/ML Platforms are Expanding Capabilities to Provide End-to-end Life Cycle Model Deployment
AI/ML Platforms are Expanding Capabilities to Provide End-to-end Life Cycle Model Deployment
AI/ML Platforms are Expanding Capabilities to Provide End-to-end Life Cycle Model Deployment
AI/ML Platforms are Expanding Capabilities to Provide End-to-end Life Cycle Model Deployment
Increased Focus on Role-based Interaction Is Democratizing Enterprise Adoption
Integrating GenAI Capabilities Is Enhancing the Model Development Process
Integrating GenAI Capabilities Is Enhancing the Model Development Process
Platform Vendors Are Partnering with IT Services Companies to Accelerate GTM
Platform Vendors Are Partnering with IT Services Companies to Accelerate GTM
Platform Vendors Are Partnering with IT Services Companies to Accelerate GTM
Strategic Partnerships with Public Cloud Service Providers to Extend Access to AI Tools and Infrastructure Services
Strategic Partnerships with Public Cloud Service Providers to Extend Access to AI Tools and Infrastructure Services
Companies to Action
Altair RapidMiner
Dataiku
Dataiku
Alteryx
Alteryx
Databricks
Databricks
DataRobot
DataRobot
Growth Opportunity Universe
Growth Opportunity 1—Verticalized Offerings
Growth Opportunity 1—Verticalized Offerings
List of Exhibits
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