Dataconomy

DECEMBER 5, 2023

Runway ML, a leading AI video creation platform, has joined forces with Getty Images, the world’s premier visual content provider, to develop innovative AI video models tailored for the entertainment and advertising industries. Let’s talk about Runway ML’s approach.

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DataRobot Blog

MARCH 30, 2022

This blog is meant to be a fun take on predicting Song and Record of the Year for the 64th Annual GRAMMY Awards. Composable ML. This past summer, DataRobot announced the addition of Composable ML to our AI Cloud platform. It’s that time of year again. what percent of the words in the song are considered profane?

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Iguazio

APRIL 24, 2024

Ever since the release of ChatGPT in November 2022, organizations have been trying to find new and innovative ways to leverage gen AI to drive organizational growth. LLMs vs. Classical ML Models: Strengths and Capabilities LLMs and ML models each have their distinct strengths, which can be applied to different kinds of tasks and objectives.

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Dataversity

DECEMBER 17, 2021

Despite extraordinary advancements in the field, machine learning (ML) and deep learning have seen slow adoption in the enterprise. However, in 2022 AI will evolve to better deliver on its promise. The post Will AI Become the Real Deal in 2022? There will be a new wave of technological advancements that will […].

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Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Google Research has been at the forefront of this effort, developing many innovations from privacy-safe recommendation systems to scalable solutions for large-scale ML. You can find other posts in the series here.)

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Google Research AI blog

FEBRUARY 14, 2023

In this blog post, we’ll review key learnings and themes from our explorations in 2022. Top Google Research, 2022 & beyond This was the sixth blog post in the “Google Research, 2022 & Beyond” series.

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AWS Machine Learning Blog

MAY 8, 2024

In 2022, Dialog Axiata made significant progress in their digital transformation efforts, with AWS playing a key role in this journey. This strategic use of AWS services delivers efficiency and scalability of their operations, as well as the implementation of advanced AI/ML applications.

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PyImageSearch

DECEMBER 11, 2023

Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google. The focus of his presentation was clear and forward-thinking: Accelerate AI/ML research and application.

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Google Research AI blog

JANUARY 24, 2023

Across several types of ML applications, we showed that models are often underspecified , which means they perform well in exactly the situation in which they are trained, but may not be robust or fair in new situations , because the models rely on “spurious correlations” — specific side effects that are not generalizable.

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Google Research AI blog

FEBRUARY 7, 2023

In the last 10 years, AI and ML models have become bigger and more sophisticated — they’re deeper, more complex, with more parameters, and trained on much more data, resulting in some of the most transformative outcomes in the history of machine learning. sub-quadratic with relation to the input sequence length).

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The MLOps Blog

MAY 9, 2023

One of the most prevalent complaints we hear from ML engineers in the community is how costly and error-prone it is to manually go through the ML workflow of building and deploying models. Building end-to-end machine learning pipelines lets ML engineers build once, rerun, and reuse many times. If all goes well, of course ?

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Google Research AI blog

FEBRUARY 28, 2023

Adherence to such public health programs is a prevalent challenge, so researchers from Google Research and the Indian Institute of Technology, Madras worked with ARMMAN to design an ML system that alerts healthcare providers about participants at risk of dropping out of the health information program. certainty when used correctly.

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Smart Data Collective

NOVEMBER 9, 2022

ML opens up new opportunities for computers to solve tasks previously performed by humans and trains the computer system to make accurate predictions when inputting data. Neptune shared a blog post on the benefits of using AI to improve testing capabilities. Top ML Companies. The company works with clients from around the world.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The tools are typically used by data scientists and ML developers from experimentation to production deployment of AI and ML solutions. AWS position.

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AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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AWS Machine Learning Blog

OCTOBER 26, 2023

Intuitivo, a pioneer in retail innovation, is revolutionizing shopping with its cloud-based AI and machine learning (AI/ML) transactional processing system. Our AI/ML research team focuses on identifying the best computer vision (CV) models for our system. SAM allows us to accelerate our labeling process with unparalleled speed.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

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Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

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Dataversity

JANUARY 18, 2022

Artificial intelligence (AI) and machine learning (ML) are two critical technologies that are shaping our future, how we work, and how businesses persevere through future black swan events. The post Why 2022 Will Be the Year of AI, Machine Learning, and Cloud Technology appeared first on DATAVERSITY.

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Google Research AI blog

MAY 15, 2023

How do we effectively annotate skin tone for use in inclusive machine learning (ML)? 2022 ALL RIGHTS RESERVED. The images are not to be used to train ML models. What does global consensus of skin tone look like? Images by TONL. Copyright TONL.CO Used with permission.

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The MLOps Blog

AUGUST 11, 2023

There comes a time when every ML practitioner realizes that training a model in Jupyter Notebook is just one small part of the entire project. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. What are ML pipeline architecture design patterns?

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Dataversity

JANUARY 13, 2022

The post The Future of Data Management: Five Predictions for 2022 appeared first on DATAVERSITY. To get the most out of data, it must be consolidated from many systems to unlock valuable business insights and feed applications such as machine learning […].

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Google Research AI blog

NOVEMBER 28, 2022

Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems ( NeurIPS 2022 ), the biggest machine learning conference of the year.

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AWS Machine Learning Blog

JANUARY 13, 2023

Since then, TR has achieved many more milestones as its AI products and services are continuously growing in number and variety, supporting legal, tax, accounting, compliance, and news service professionals worldwide, with billions of machine learning (ML) insights generated every year. The challenges. Solution overview.

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AWS Machine Learning Blog

JUNE 23, 2023

For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. Additionally, you can use AWS Lambda directly to expose your models and deploy your ML applications using your preferred open-source framework, which can prove to be more flexible and cost-effective.

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Data Science Dojo

JANUARY 18, 2023

Despite major layoffs in 2022, there are many optimistic fintech trends to look out for in 2023. In this blog, let’s see what the future holds for fintech trends in 2023. While 2022 saw the world recovering from COVID as businesses turned to virtual spaces for innovation, it also experienced some of the worst layoffs.

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AWS Machine Learning Blog

JANUARY 26, 2023

Amazon SageMaker is a fully managed machine learning (ML) service providing various tools to build, train, optimize, and deploy ML models. ML insights facilitate decision-making. To assess the risk of credit applications, ML uses various data sources, thereby predicting the risk that a customer will be delinquent.

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SAS Software

FEBRUARY 13, 2023

GARP and SAS partnered for a survey in 2018 to understand the use of AI & ML models in risk management. Because of that, the survey was expanded in 2022 and has been extended to [.] The post Uncovering the priorities and key success factors of credit risk transformation projects appeared first on SAS Blogs.

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Dataversity

DECEMBER 21, 2021

The post What’s Next for Identity Security in 2022 appeared first on DATAVERSITY. So far in 2021, nearly 281.5 million people have been affected by some sort of data breach. Even as new advances in identity security come […].

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Dataversity

APRIL 15, 2022

The post AI in Health Care: Trends and Challenges in 2022 appeared first on DATAVERSITY. The results showed growth in natural language processing (NLP), clinicians becoming primary users of AI technology, and a preference for companies using their own data to validate models, among other findings.

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Defined.ai blog

AUGUST 29, 2022

Welcome back, dear readers, to Defined.ai’s highlights of ICASSP 2022! It has been long assumed that ASR applications, like any ML application which relies on distributions, are not fair across a range of biased factors, but testing these assumptions is not always trivial. All of this is made available at: [link].

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AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. After reading a few blog posts and DJL’s official documentation, we were sure DJL would provide the best solution to our problem. Business requirements We are the US squad of the Sportradar AI department.

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Dataversity

DECEMBER 16, 2022

2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning. Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements.

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AWS Machine Learning Blog

DECEMBER 12, 2023

This new workforce requires rapid reskilling and understanding of disruptive services such as artificial intelligence (AI) and machine learning (ML) to drive meaningful outcomes. To learn more, check out Redefining Vodafone’s customer experience with AWS and the following talk at AWS re:Invent 2022. Why AWS DeepRacer?

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phData

JANUARY 31, 2024

In this blog, we’ll show you how to build a robust energy price forecasting solution within the Snowflake Data Cloud ecosystem. We’ll cover how to get the data via the Snowflake Marketplace, how to apply machine learning with Snowpark , and then bring it all together to create an automated ML model to forecast energy prices.

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DataRobot Blog

MARCH 23, 2023

1 The complexity of building expertise, managing multiple tools and platforms across the ML pipeline, and staying on top of an ever-expanding repository of production models are noted as further obstacles. Understand how your organization works with ML – and where it should head. 2 What Is MLOps and How Does It Help?

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The MLOps Blog

DECEMBER 7, 2022

2022 will be remembered as a defining year for the crypto ecosystem. And we at deployr , worked alongside them to find the best possible answers for everyone involved and build their Data and ML Pipelines. There’s an old saying in Argentina that goes: “A río revuelto, ganancia de pescadores”. With that out of the way, let’s dig in!

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