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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Journey to AI blog

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing?

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How to choose the best AI platform

IBM Journey to AI blog

trillion to the global economy in 2030, more than the current output of China and India combined.” AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. trillion in value.

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Multilingual AI on Google Cloud: The Global Reach of Meta’s Llama 3.1 Models

Unite.AI

billion by 2030 at a Compound Annual Growth Rate (CAGR) of 35.7%. The platform also integrates effectively with other Google Cloud services, such as BigQuery for data analysis and Google Kubernetes Engine for containerized deployments, providing a cohesive ecosystem for AI development. billion in 2024 to USD 1339.1

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Five machine learning types to know

IBM Journey to AI blog

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Manage a range of machine learning models with watstonx.ai And the adoption of ML technology is only accelerating.

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Archana Joshi, Head – Strategy (BFS and EnterpriseAI), LTIMindtree – Interview Series

Unite.AI

They support us by providing valuable insights, automating tasks and keeping us aligned with our strategic goals. From co-pilots that generate code to synthetic data for testing and automating IT operations, every facet of IT is being transformed. They were facing scalability and accuracy issues with their manual approach.

DevOps 147
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Beyond ‘Data-Driven’: How Energy-Efficient Computing for AI Is Propelling Innovation and Savings Across Industries

NVIDIA

Industries can use AI to quickly analyze vast bodies of data, allowing them to derive meaningful insights, make predictions and automate processes for greater efficiency. Driverless smart tractors with energy-efficient edge computing are now available to help farmers with automation and data analysis.

Robotics 129
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Navigating the 2024 Data Analyst career growth landscape

Pickl AI

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.