AWS Machine Learning Blog

MARCH 17, 2025

Case studies and real-world examples 3M Health Information Systems is collaborating with AWS to accelerate AI innovation in clinical documentation by using AWS machine learning (ML) services, compute power, and LLM capabilities. To learn more, see AWS for Healthcare & Life Sciences.

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Dataconomy

JULY 17, 2023

In today’s interconnected world, the Internet of Things (IoT) has become an awe-inspiring reality rather than a futuristic concept. 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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AWS Machine Learning Blog

OCTOBER 2, 2023

Solution overview In Part 1 of this series, we laid out an architecture for our end-to-end MLOps pipeline that automates the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. In Part 2 , we showed how to automate the labeling and model training parts of the pipeline.

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AWS Machine Learning Blog

MAY 25, 2023

Infogain works with OCX Cognition as an integrated product team, providing human-centered software engineering services and expertise in software development, microservices, automation, Internet of Things (IoT), and artificial intelligence. This reduced the need to develop new low-level ML code.

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AWS Machine Learning Blog

OCTOBER 2, 2023

A successful deployment of a machine learning (ML) model in a production environment heavily relies on an end-to-end ML pipeline. Although developing such a pipeline can be challenging, it becomes even more complex when dealing with an edge ML use case. This helps avoid costly defects at later stages of the production process.

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Dataconomy

MAY 4, 2023

As clinical trials are notoriously time-consuming and expensive, applying ML-based predictive analytics to identify potential trial candidates can help researchers draw from a vast array of data points, including previous doctor visits, social media activity, and more.

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Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. As one of the biggest trends in the emerging IT industry, artificial intelligence (AI) is poised to become the next big thing in technology.

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Heartbeat

MARCH 6, 2023

It can be used in a wide range of applications, especially when used with the Internet of Things. Ensure you have your API key from your Comet ML account, then create a .comet.yml First, let’s create a custom function to log losses to Comet ML after each step. Add the following code block to your R script.

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Hacker News

APRIL 3, 2023

Shoreline IoT makes a ruggedized sensor that can be flashed with different ML models to detect different issues. The post Why TinyML is still so hard to get excited about appeared first on Stacey on IoT | Internet of Things news and analysis.

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Dataconomy

NOVEMBER 21, 2023

Big Data, the Internet of Things , and AI generate continuous streams of data but companies currently lack the infrastructure development experience to leverage this effectively. The GlassFlow team maintains constant communication with IT professionals, considering their feedback to improve the platform.

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Smart Data Collective

JANUARY 27, 2022

It is a promising position for those skilled in mechanics, electronics, data analytics and ML. Internet-of-Things Development Engineer. The Internet of Things enters all sizes, even such unexpected ones as street lighting control systems. Programmer. As a result, there is a real hunt for skilled programmers.

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Dataconomy

FEBRUARY 21, 2024

In order to anticipate human behaviour, artificial intelligence (AI) combines enhanced processing and learning capabilities with the capacity to link numerous Internet of Things devices. To allow for device connection, many sectors have begun integrating artificial intelligence with smart gadgets.

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Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. Data analytics uses AI and ML to automate the process of collecting and evaluating weather data to extract relevant insights.

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IBM Journey to AI blog

JANUARY 15, 2024

As such, organizations are increasingly interested in seeing how they can apply the whole suite of artificial intelligence (AI) and machine learning (ML) technologies to improve their business processes. For example, applied ML will help organizations that depend on the supply chain engage in better decision making, in real time.

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Dataconomy

OCTOBER 23, 2024

Artificial intelligence (AI) and machine learning (ML) are arguably the frontiers of modern technology. AI and ML can streamline various business processes and help maximize your returns margins. They analyze vast datasets and suggest predictive insights, helping cybersecurity teams to respond swiftly to potential threats.

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AWS Machine Learning Blog

JANUARY 13, 2023

Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management.

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AWS Machine Learning Blog

MAY 10, 2023

Sleepme is an industry leader in sleep temperature management and monitoring products, including an Internet of Things (IoT) enabled sleep tracking sensor suite equipped with heart rate, respiration rate, bed and ambient temperature, humidity, and pressure sensors. This use case demanded an ML model that served real-time inference.

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AWS Machine Learning Blog

OCTOBER 19, 2023

For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII). This post demonstrates how to use Amazon SageMaker Data Wrangler and Amazon Comprehend to automatically redact PII from tabular data as part of your machine learning operations (ML Ops) workflow.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

ML operationalization summary As defined in the post MLOps foundation roadmap for enterprises with Amazon SageMaker , ML and operations (MLOps) is the combination of people, processes, and technology to productionize machine learning (ML) solutions efficiently.

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AWS Machine Learning Blog

MARCH 29, 2023

there is enormous potential to use machine learning (ML) for quality prediction. ML-based predictive quality in HAYAT HOLDING HAYAT is the world’s fourth-largest branded baby diapers manufacturer and the largest paper tissue manufacturer of the EMEA. After the data preparation phase, a two-stage approach is used to build the ML models.

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ODSC - Open Data Science

APRIL 12, 2023

TDEngine At TDEngine they specialize in the ingestion, processing, and monitoring of the large amounts of data generated by the Internet of Things (IoT), Industrial IoT, and connected cars. Through feature discovery, DotData can help businesses shorten development times and more efficiently leverage their enterprise data.

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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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Smart Data Collective

JANUARY 10, 2023

Today there are various tools that rely on ML and AI technologies which help them to understand the received data and further present them in a convenient format. But it’s highly likely that you do not want to see just boring statistics and numbers. That’s why you need to find a way to train the data that will make it work as you need.

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AWS Machine Learning Blog

APRIL 18, 2023

Amazon Monitron is an end-to-end condition monitoring solution that enables you to start monitoring equipment health with the aid of machine learning (ML) in minutes, so you can implement predictive maintenance and reduce unplanned downtime. For the detailed Amazon Monitron installation guide, refer to Getting started with Amazon Monitron.

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AWS Machine Learning Blog

APRIL 24, 2024

It consists of the following key components: Conversational interface – The conversational interface uses Streamlit, an open source Python library that simplifies the creation of custom, visually appealing web apps for machine learning (ML) and data science.

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AWS Machine Learning Blog

JULY 3, 2024

AWS Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. It lets you orchestrate multiple steps in the pipeline.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. DL, a subset of ML, excels at understanding context and generating human-like responses.

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ODSC - Open Data Science

MAY 31, 2023

The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem. Kai’s main area of expertise lies within the fields of Data Streaming, Analytics, Hybrid Cloud Architectures, and the Internet of Things.

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IBM Journey to AI blog

MARCH 21, 2024

Some 5G networks’ download speeds can reach as high as 10 gigabits per second (Gbps) making them ideal for new technologies like artificial intelligence (AI) , machine learning (ML) and Internet of Things (IoT). Today, cutting-edge technologies like AI and ML require too much data to run on older networks.

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AWS Machine Learning Blog

OCTOBER 2, 2023

It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. The quality of our labels will affect the quality of our ML model. This three-step process is generic and can be used for any model architecture and ML framework of your choice.

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Dataconomy

JULY 11, 2024

Machine learning frameworks Frameworks like TensorFlow Lite and Core ML allow developers to integrate machine learning models into mobile apps. Internet of Things (IoT) integration IoT platforms The integration of IoT in mobile apps is expanding, with platforms like AWS IoT and Azure IoT offering robust solutions.

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Mlearning.ai

MARCH 15, 2023

The ML model is then used by the user through an API by sending a request to access a specific feature. Federated Learning On the other hand, the FL architecture is different because machine learning is done across multiple edge devices (clients) that collaborate in the training of the ML model.

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AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

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Dataconomy

AUGUST 24, 2023

Integration of IoT Internet of Things (IoT) synergizes with Business Intelligence projects, giving rise to a landscape where data-driven insights are no longer confined to static datasets. The integration of BI into decision-making processes enhances agility, enabling companies to pivot swiftly in response to changing market dynamics.

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Dataconomy

JUNE 6, 2024

NEAR Protocol incorporates AI and ML into platform systems, where smart contract deployment, network optimization, and security monitoring are performed automatically. AIs are creating the next-generation ideas of an ‘internet of things’ where all things will talk to each other. ai (FET) Fetch.

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AWS Machine Learning Blog

JANUARY 13, 2023

It involves training a global machine learning (ML) model from distributed health data held locally at different sites. The eICU data is ideal for developing ML algorithms, decision support tools, and advancing clinical research. Training ML models with a single data point at a time is tedious and time-consuming.

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IBM Journey to AI blog

MAY 31, 2023

Through these types of software, advanced data analysis tools and processes like machine learning (ML) can identify, detect and address issues as they occur. Predictive maintenance leverages new technologies like artificial intelligence , machine learning and the Internet of Things (IoT) to generate insights.

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