Machine learning brings tremendous value to organizations, and the adoption of ML is growing across multiple industries. Leveraging Machine Learning for your company involves complex challenges, such as deploying models at scale and retraining to keep them relevant. Machine learning operations require a seamless combination of technological and organizational components. Here are the ML trends that we believe will rule 2023 - -$10T–$15T global impact potential – AI has got massive potential across various industries. -5 of 10 global companies did not exist 25 years ago – AI is disrupting traditional business models. -2.5 times greater 5-year total shareholder returns are there – AI leaders have got more robust financial performance. Know More - https://47billion.com/machine-learning/

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Industrializing
Machine Learning
Machine learning workflows tend to
resolve real-world challenges.
Industrializing ML uses software and
hardware solutions that accelerate
the development and deployment of
ML with performance monitoring,
stability, and technological
improvement.

2. Data
management
Model
development
Model
deployment
Live model
operation
Workflow
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$10T–$15T industry globally
AI has massive potential across various sectors.
AI is disrupting traditional business models
5 out of 10 global conglomerates came into existence in the last 25 years
Higher returns to shareholders
Robust financial performance, with 2.5 times higher returns in the last 5-years.
Why should leaders pay attention?
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Complex organizational workflows
More than 70% of organizations have
not successfully adopted AI
Complex team management and
cross-domain interaction
Dynamic business landscape
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CHALLENGES

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