Favorite In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. Document processing has witnessed significant advancements with the advent
Read More
Shared by AWS Machine Learning October 25, 2023
Favorite This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Founded in 2011, Talent.com is one of the world’s largest sources of employment. The company combines paid job listings from their clients with public job listings into a single searchable platform.
Read More
Shared by AWS Machine Learning October 24, 2023
Favorite This is a guest post co-written by Rama Badrinath, Divay Jindal and Utkarsh Agrawal at Meesho. Meesho is India’s fastest growing ecommerce company with a mission to democratize internet commerce for everyone and make it accessible to the next billion users of India. Meesho was founded in 2015 and
Read More
Shared by AWS Machine Learning October 20, 2023
Favorite Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, data privacy, and governance controls are still key challenges
Read More
Shared by AWS Machine Learning October 20, 2023
Favorite Posted by Jagan Sankaranarayanan, Senior Staff Software Engineer, and Indrajit Roy, Head of Napa Product, Google Google Ads infrastructure runs on an internal data warehouse called Napa. Billions of reporting queries, which power critical dashboards used by advertising clients to measure campaign performance, run on tables stored in Napa.
Read More
Shared by Google AI Technology October 20, 2023
Favorite Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII). To ensure customer privacy and maintain regulatory compliance while training,
Read More
Shared by AWS Machine Learning October 19, 2023
Favorite High-resolution imagery is very prevalent in today’s world, from satellite imagery to drones and DLSR cameras. From this imagery, we can capture damage due to natural disasters, anomalies in manufacturing equipment, or very small defects such as defects on printed circuit boards (PCBs) or semiconductors. Building anomaly detection models
Read More
Shared by AWS Machine Learning October 19, 2023
Favorite Companies increasingly rely on user-generated images and videos for engagement. From ecommerce platforms encouraging customers to share product images to social media companies promoting user-generated videos and images, using user content for engagement is a powerful strategy. However, it can be challenging to ensure that this user-generated content is
Read More
Shared by AWS Machine Learning October 19, 2023
Favorite Posted by Christian Plagemann, Director, and Katya Cox, Product Manager, Google Research Learning a language can open up new opportunities in a person’s life. It can help people connect with those from different cultures, travel the world, and advance their career. English alone is estimated to have 1.5 billion
Read More
Shared by Google AI Technology October 19, 2023
Favorite Purina US, a subsidiary of Nestlé, has a long history of enabling people to more easily adopt pets through Petfinder, a digital marketplace of over 11,000 animal shelters and rescue groups across the US, Canada, and Mexico. As the leading pet adoption platform, Petfinder has helped millions of pets
Read More
Shared by AWS Machine Learning October 18, 2023
Shared by AWS Machine Learning October 25, 2023
Shared by 
