Advancements in AI and Go-to-Market Strategies Position AI Platform Vendors as Key Players in the Technology s Adoption
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.
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Altair RapidMiner
- Alteryx
- Databricks
- Dataiku
- DataRobot