AWS Machine Learning Blog

NOVEMBER 13, 2024

The global intelligent document processing (IDP) market size was valued at $1,285 million in 2022 and is projected to reach $7,874 million by 2028 ( source ). He has earned the title of one of the Youngest Indian Master Inventors with over 500 patents in the AI/ML and IoT domains.

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Dataconomy

JULY 17, 2023

A Statista report also suggests that the global IoT revenue is expected to reach $2,227 billion by 2028, witnessing a CAGR of 13.60% from 2023 to 2028. With their expertise in technologies like AI, ML, computer vision, and big data, they deliver innovative and connected solutions for various industries.

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ML @ CMU

JANUARY 8, 2025

The current performance of LLMs on problems from these hard tasks remains underwhelming ( see example ).

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Pickl AI

DECEMBER 26, 2024

billion by 2028 at a CAGR of 15.1% , their integration continues to shape the future of technology-driven decision-making. Managed services like AWS Lambda and Azure Data Factory streamline data pipeline creation, while pre-built ML models in GCPs AI Hub reduce development time. billion in 2023 to USD 1,266.4

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Smart Data Collective

JANUARY 13, 2022

The market size for AI in marketing is expected to grow ove r 31% a year through 2028. AI & ML: Problem Solver in Customer Service. AI and ML can be used in customer service to tackle various problems that need a large scale. It is growing at an even faster pace as more companies discover new benefits.

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IBM Journey to AI blog

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

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IBM Journey to AI blog

JANUARY 10, 2024

Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming.

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