AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

AWS 116

AWS AI AI ML 116

Data Science Dojo

JANUARY 13, 2023

In this blog, we will share the list of leading data science conferences across the world to be held in 2023. This will help you to learn and grow your career in data science, AI and machine learning. Top data science conferences 2023 in different regions of the world 1.

Data Science 284

Data Science Data Mining Data Mining Data Mining 284

AWS Machine Learning Blog

MAY 8, 2024

To address this challenge, Dialog Axiata has pioneered a cutting-edge solution called the Home Broadband (HBB) Churn Prediction Model. This strategic use of AWS services delivers efficiency and scalability of their operations, as well as the implementation of advanced AI/ML applications.

ML 88

ML ML AWS AI 88

DataRobot Blog

MARCH 16, 2023

One of the most common challenges today in the adoption of AI is that far too many projects do not complete and fail to deliver clear business outcomes. In speaking with hundreds of our customers over the past year, and analyzing projects further, we quickly realized that a new approach to AI was needed.

AI 98

AI AI ML ML 98

Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

AWS 182

AWS AI AI ML 182

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. One of the key drivers of Philips’ innovation strategy is artificial intelligence (AI), which enables the creation of smart and personalized products and services that can improve health outcomes, enhance customer experience, and optimize operational efficiency.

AWS 83

AWS ML ML AI 83

The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

Machine Learning 97

Machine Learning Machine Learning AWS Analytics 97

IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks.

AI 71

AI AI Data Warehouse ML 71

IBM Journey to AI blog

APRIL 9, 2024

Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. Lastly, watsonx.data pulls from live feeds.

AI 79

AI AI Machine Learning Machine Learning 79

AWS Machine Learning Blog

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. They provide a fact sheet of the model that is important for model governance.

AWS 85

AWS ML ML Data Scientist 85

AWS Machine Learning Blog

JANUARY 10, 2024

ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust MLOps platform to work in.

ML 92

ML ML AWS Machine Learning 92

IBM Journey to AI blog

FEBRUARY 8, 2024

The European Artificial Intelligence Act, while not yet law, is driving new levels of human oversight and regulatory compliance for artificial intelligence (AI) within the European Union. Similar to GDPR for privacy, the EU AI Act has potential to set the tone for upcoming AI regulations worldwide.

AI 73

AI AI Artificial Intelligence Artificial Intelligence 73

Data Science Dojo

AUGUST 28, 2023

Large Language Model Ops also known as LLMOps isn’t just a buzzword; it’s the cornerstone of unleashing LLM potential. From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation. As LLMs redefine AI capabilities, mastering LLMOps becomes your compass in this dynamic landscape.

Exploratory Data Analysis 195

Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

AWS Machine Learning Blog

FEBRUARY 9, 2024

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). IT teams are responsible for helping the LOB innovate with speed and agility while providing centralized governance and observability.

AWS 123

AWS Machine Learning Machine Learning Python 123

phData

MAY 28, 2024

Snowflake Cortex is a suite of pre-built machine learning models and AI capabilities designed to accelerate the deployment of AI-driven solutions within the Snowflake ecosystem. Cortex ML functions are aimed at Predictive AI use cases, such as anomaly detection, forecasting , customer segmentation , and predictive analytics.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineer 52

AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models.

AWS 103

AWS Data Science ML ML 103

Iguazio

MARCH 14, 2024

GPU as a Service (GPUaaS) serves as a cost-effective solution for organizations who need more GPUs for their ML and gen AI operations. In this blog post, we explain how GPUaaS as a service works, how it can close the GPU shortage gap, when to use GPUaaS and how it fits with gen AI.

ML 98

ML ML Deep Learning Deep Learning 98

AWS Machine Learning Blog

JULY 19, 2023

Amazon SageMaker Model Cards enable you to standardize how models are documented, thereby achieving visibility into the lifecycle of a model, from designing, building, training, and evaluation. They provide a factsheet of the model that is important for model governance.

ML 77

ML ML Machine Learning Machine Learning 77

AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. And although our track focuses on generative AI, many other tracks have related sessions.

AWS 103

AWS ML ML AI 103

AWS Machine Learning Blog

FEBRUARY 13, 2024

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. Additionally, usage details of shared resources can be monitored with Amazon CloudWatch and AWS CloudTrail.

AWS 98

AWS ML ML Machine Learning 98

Iguazio

MAY 21, 2024

This helps determine how well the model understands and generates language, ensuring that it meets the specific needs of applications. In this blog post, we explain the role of LLM evaluation in AI lifecycles and the different types of LLM evaluation methods. This requires controls in the pipelines, in multiple places.

AI 59

AI AI ML ML 59

AWS Machine Learning Blog

MARCH 4, 2024

Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted to leverage machine learning (ML) to serve their customers at scale. The models often only captured surface-level topics and sentiment, and missed crucial context that would allow for more accurate and meaningful insights.

AWS 96

AWS ML ML Machine Learning 96

AWS Machine Learning Blog

MARCH 15, 2024

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. Stroke victims can lose around 1.9 So why hasn’t it been used yet?

AWS 92

AWS ML ML Data Silos 92

AWS Machine Learning Blog

FEBRUARY 6, 2024

Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. AI delivers a major leap forward.

AWS 96

AWS AI AI ML 96

AWS Machine Learning Blog

JUNE 27, 2023

This blog post is co-written with Marat Adayev and Dmitrii Evstiukhin from Provectus. When machine learning (ML) models are deployed into production and employed to drive business decisions, the challenge often lies in the operation and management of multiple models.

ML 90

ML ML AWS Machine Learning 90

DataRobot Blog

MARCH 8, 2023

Leveraging DataRobot’s JDBC connectors, enterprise teams can work together to train ML models on their data residing in SAP HANA Cloud and SAP Data Warehouse Cloud, as well as have an option to enrich it with data from external data sources. Tune in to learn more. Registration is free for both events.

Machine Learning 105

Machine Learning Machine Learning ML ML 105

IBM Journey to AI blog

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. So what is stopping AI adoption today? It is an imperative.

AI 72

AI AI Data Science Artificial Intelligence 72

DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. What is MLOps? Issues with Deployment.

AI 98

AI AI Machine Learning Machine Learning 98

AWS Machine Learning Blog

OCTOBER 5, 2023

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Organizations have started to use AI/ML services like Amazon Comprehend to build classification models with their unstructured data to get deep insights that they didn’t have before.

Data Preparation 90

Data Preparation ML ML AWS 90

AWS Machine Learning Blog

JANUARY 13, 2023

In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. With this tremendous increase of AI services, the next milestone for TR was to streamline innovation, and facilitate collaboration.

ML 73

ML ML AWS Data Scientist 73

phData

MARCH 4, 2024

The Snowflake Data Cloud has become a game-changer for businesses leveraging data analytics, but did you know it also packs a serious punch when it comes to Artificial Intelligence (AI)? In this blog, we’ll explore Snowflake’s most compelling features that support artificial intelligence and investigate the future of AI with Snowflake.

AI 52

AI AI ML ML 52

IBM Journey to AI blog

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. The answer is that generative AI leverages recent advances in foundation models.

AI 107

AI AI Data Warehouse Machine Learning 107

IBM Journey to AI blog

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

AI 74

AI AI ML ML 74

AWS Machine Learning Blog

SEPTEMBER 28, 2023

In the rapidly evolving world of AI and machine learning (ML), foundation models (FMs) have shown tremendous potential for driving innovation and unlocking new use cases. In this post, we propose Generative AI Gateway as platform for an enterprise to allow secure access to FMs for rapid innovation.

AI 91

AI AI AWS ML 91

AWS Machine Learning Blog

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

AWS 98

AWS AI AI ML 98

AWS Machine Learning Blog

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. They provide a fact sheet of the model that is important for model governance.

AWS 52

AWS ML ML Data Scientist 52