Dataconomy

MARCH 4, 2025

Apples iPad Air lineup has seen three major iterations in the past three years, with the M1 iPad Air launching in 2022, the M2 iPad Air arriving in 2024, and now the M3 iPad Air in 2025. AI & ML Boost : Apple claims the M3 is up to 60% faster for AI-based tasks than the M1 , making it more future-proof. Gen 2) Yes (USB-C 3.1

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KDnuggets

JANUARY 17, 2022

In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.

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KDnuggets

JANUARY 12, 2022

Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not.

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KDnuggets

JANUARY 4, 2022

To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.

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ML @ CMU

JANUARY 2, 2025

2022 ; Mittal et al., 2022 ) have outlined the potential rationale for this architecture: Data generated from natural tasks typically stem from the latent distribution of multiple task variables. Previous works ( Goyal et al.,

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Dataconomy

DECEMBER 13, 2021

For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information they can pull from the massive amounts of data generated, accessed, and stored in myriad locations, from corporate data centers to the cloud and.

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KDnuggets

JANUARY 31, 2022

Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.

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How to Learn Machine Learning

MARCH 21, 2025

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing within the healthcare industry. While AI and ML offer the potential for more personalized treatments, there are still challenges in ensuring these solutions work effectively for patient populations. million in 2022 and is growing fast.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. He was named USA CTO of the Year by the Global 100 Awards and Game Changers Awards in 2022.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Let’s learn about the services we will use to make this happen.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. Using SageMaker, you can build, train and deploy ML models.

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Smart Data Collective

MAY 22, 2022

Unlike ML models trained on datasets, every device gets the level of protection it needs. Are you trying to improve your ransomware defense in 2022? The post How AI Can Supercharge Your Ransomware Defense In 2022? For example, process A may be permitted on one device and blocked on another. It all depends on the risk score.

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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O'Reilly Media

JANUARY 10, 2023

In reality, 2022 has been a fantastic year for AI. GitHub CoPilot also wasn’t new in 2022, but in the last year we’ve heard of more and more programmers who are using ChatGPT to write production code. GPT-3 wasn’t new, of course, but ChatGPT made GPT-3 usable in ways people hadn’t imagined.

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Smart Data Collective

JANUARY 3, 2022

Many of us will have already started thinking about our resolutions for 2022, and it’s incredibly similar when it comes to the beautiful world of web design. So, what are we expecting with AI-driven web design in 2022? Often an area of a site that gets forgotten about, 2022 will be the year of the footer. Funky Designs.

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Analytics Vidhya

DECEMBER 1, 2022

Introduction Data Science is one of the most promising careers of 2022 and beyond. Keeping this in mind, many working professionals and students have started upskilling themselves. Do you know that, for the past 5 years, ‘Data Scientist’ consistently ranked among the top 3 job professions in the US market?

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Google Research AI blog

FEBRUARY 21, 2023

With the amazing advances in machine learning (ML) and quantum computing, we now have powerful new tools that enable us to act on our curiosity, collaborate in new ways, and radically accelerate progress toward breakthrough scientific discoveries. 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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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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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. Top ML Companies. With ML capabilities, these tools eliminate errors and process data at a rapid pace. The company works with clients from around the world.

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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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Smart Data Collective

AUGUST 16, 2022

Again, machine learning is vital to network monitoring in 2022. The post Can ML Fix Cybersecurity Challenges in Healthcare? This way, the IT staff in the company can quickly spot any unusual activity and take steps to stop an attack before it does any damage. appeared first on SmartData Collective.

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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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Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices. on Tuesday, April 4, 2022

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AWS Machine Learning Blog

AUGUST 15, 2024

With over 50 connectors, an intuitive Chat for data prep interface, and petabyte support, SageMaker Canvas provides a scalable, low-code/no-code (LCNC) ML solution for handling real-world, enterprise use cases. Afterward, you need to manage complex clusters to process and train your ML models over these large-scale datasets.

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Google Research AI blog

JANUARY 18, 2023

Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series. With this post, I am kicking off a series in which researchers across Google will highlight some exciting progress we've made in 2022 and present our vision for 2023 and beyond.

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NYU Center for Data Science

MARCH 15, 2023

To make the opportunity more accessible, the recorded lectures from the previous iteration of the school held January 10–14, 2022, are now publicly available on YouTube! The NYU AI School grew from a 3-day workshop that took place in October 2019, with the first week-long event launched in February 2021.

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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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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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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. This significantly reduces training time and cost for product planogram models.

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Towards AI

JULY 19, 2023

How to Maximize ML Project Success with Efficient Scoping? | In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. What can you recommend to him as an ML Engineer? Like all other fields, scoping ML projects have many community recommended outlines.

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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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Towards AI

FEBRUARY 13, 2023

In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. What can you recommend to him as an ML Engineer? We can also keep giving hundreds of other suggestions to him, both belonging to ML and not belonging to ML. They do all this before a project begins.

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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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Dataconomy

AUGUST 22, 2024

Aleksandr Timashov is an ML Engineer with over a decade of experience in AI and Machine Learning. On these projects, I mentored numerous ML engineers, fostering a culture of innovation within Petronas. You told us you were implementing these projects in 2020-2022, so it all started amid the Covid-19 times.

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Dataconomy

SEPTEMBER 13, 2023

According to Gartner, a renowned research firm, by 2022, an astounding 70% of customer interactions are expected to flow through technologies like machine learning applications, chatbots, and mobile messaging. Data Annotation in AI & ML At the heart of the Machine Learning (ML) journey lies the crucial step of data annotation.

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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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