IBM Journey to AI blog

JANUARY 22, 2024

Rebooting can also make it harder to investigate ransomware attacks—valuable clues are stored in the computer’s memory, which gets wiped during a restart. But even if they can’t save your data, it’s critical for them to catalog cybercriminal activity and, hopefully, help others avoid similar fates.

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Snorkel AI

SEPTEMBER 29, 2023

Audio classification: A record company that acquires a new catalog can build a model to assign each song to a genre based on the labels and sonic qualities in their existing catalog. Data scientists and machine learning engineers generally consider this approach as the gold standard for data quality.

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Heartbeat

DECEMBER 7, 2023

This team should consist of experts who know the business domain where the data comes from and should be something other than general-purpose Information and Communication Technologies (ICT) teams. A consistent data source, consistent integration, consistent metadata/catalog, consistent orchestration… This is the essence of the data fabric.

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DrivenData Labs

DECEMBER 13, 2022

Manual water sampling, or “in situ” sampling, is generally used to monitor cyanobacteria in inland water bodies. In this section, we'll walk through the process of pulling in matching satellite imagery using Microsoft's Planetary Computer. In situ sampling is accurate, but time intensive and difficult to perform continuously.

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Precisely

JANUARY 17, 2023

Cloud computing offers some advantages in terms of scalability and elasticity, yet it has also led to higher-than-ever volumes of data. Here are some trends that will command the attention of business leaders in 2023 and beyond. Data Volume, Variety, and Velocity Raise the Bar Corporate IT landscapes are larger and more complex than ever.

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Dataconomy

APRIL 27, 2023

AI computers are real now, and they are rapidly changing the world around us and already being used in a wide range of applications in various sectors. The capacity of computers to think, learn, make decisions, and be creative are all examples of what we mean when we talk about artificial intelligence (AI).

Natural Language Processing 203

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Alation

FEBRUARY 20, 2020

The second is that it may easily be inferred that many different groups are going to be involved, e.g., Analytics or Data Science will likely come up with the need and use cases, whereas Data Governance, and perhaps the Office of General Counsel, will have to give an opinion on legal, privacy and compliance requirements.

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Mlearning.ai

FEBRUARY 14, 2023

Task : we own a grocery store and we want to catalog all our take-away meals. Then, according to the actual labels of the meals, the true and false positive rates are computed for the specific threshold under consideration. Let’s start considering a realistic classification problem for which we could use the ROC curve. So stay tuned!

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Snorkel AI

JUNE 9, 2023

While generalized LLMs will yield useful results for general questions, enterprises that want to get business value out of LLMs will have to customize their own. Top Highlights Opening Keynote: New introductions from Snorkel AI The future of enterprise large language models, Alex said, is GPT-You not GPT-X.

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Snorkel AI

JUNE 9, 2023

While generalized LLMs will yield useful results for general questions, enterprises that want to get business value out of LLMs will have to customize their own. Top Highlights Opening Keynote: New introductions from Snorkel AI The future of enterprise large language models, Alex said, is GPT-You not GPT-X.

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Smart Data Collective

NOVEMBER 25, 2019

Matt Turck, an AI and data investor, calls it “ the ‘datafication’ of everything ” — as more of the world comes online, it becomes possible to analyze, catalog and turn information into a format analysts, and AI, can break down. General-Audience AI Tools.

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Smart Data Collective

NOVEMBER 25, 2021

The teacher would assign reading, and you would have to ask the librarian to borrow some books for your assignments and sift through those nostalgic library catalogs (yes early Millennials, you’ve been there.). Back in the day—as strange as it sounds to say that—amenities like libraries were indispensable on college grounds.

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Mlearning.ai

MARCH 28, 2023

If the model is not appropriately regularized, it may overfit the majority class, leading to a poor generalization of new data. It is generally regarded as a balanced measure that can be used even if the classes are of very different sizes. This can reduce the overall performance of the model and the quality of generalization.

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O'Reilly Media

DECEMBER 12, 2023

AI models are probability engines; an LLM computes the next word that’s most likely to follow the prompt, then the next word most likely to follow that, and so on. For example, you might want to write a stockholders’ report, or generate text for a product catalog.

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Dataconomy

FEBRUARY 27, 2024

-Microsoft Details of the Microsoft Mistral AI collaboration As part of the Microsoft Mistral AI partnership, Mistral AI’s cutting-edge large language models (LLMs), which are pivotal in generating AI-driven products, will now be accessible through Microsoft’s Azure cloud computing service.

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Mlearning.ai

JULY 24, 2023

These improvements result in significantly faster training times and enhanced model generalization capabilities. More trees can improve performance but increase computation time. This is called Random Forest. However, this approach may struggle when the dataset is imbalanced, and the model becomes computationally too heavy.

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Data Science Blog

SEPTEMBER 19, 2023

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. For Data Warehouse Systems that often require powerful (and expensive) computing resources, this level of control can translate into significant cost savings.

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Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. A cloud-ready data discovery process can ease your transition to cloud computing and streamline processes upon arrival.

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AWS Machine Learning Blog

JANUARY 4, 2024

Both approaches could be considered and selected based on the right set of requirements: Fine-tuning – The baseline model is pre-trained on a large general text corpus and then can use instruction-based fine-tuning , which uses labeled examples to improve the performance of a pre-trained foundation model on text-SQL.

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PyImageSearch

AUGUST 28, 2023

In machine learning, particularly in tasks related to computer vision, this situation is quite common. KerasCV is a library of modular computer vision-oriented Keras components. KerasCV is a subdivision of Keras, a deep learning framework built on top of Keras, specifically designed for computer vision tasks (e.g.,

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Alation

DECEMBER 14, 2021

The difference between a cloud-native and a cloud-enabled system is that a cloud-native system does not require any computing infrastructure onsite. In general, cloud-native systems operate without any sort of in-house computing infrastructure and feature horizontal scaling capabilities across multiple servers.

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Snorkel AI

OCTOBER 12, 2023

Comcast SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale End-to-end automatic speech recognition systems represent the state of the art, but they rely on thousands of hours of manually annotated speech for training, as well as heavyweight computation for inference. image-text pairs from Common Crawl.

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Snorkel AI

OCTOBER 12, 2023

Comcast SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale End-to-end automatic speech recognition systems represent the state of the art, but they rely on thousands of hours of manually annotated speech for training, as well as heavyweight computation for inference. image-text pairs from Common Crawl.

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AWS Machine Learning Blog

AUGUST 9, 2023

In this post, we explore how this transformative technology can be harnessed to generate captivating and innovative advertisements at scale, especially when dealing with large catalogs of images. Conclusion Generative AI models are generally large-scale ML models that require specific resources to run efficiently.

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AWS Machine Learning Blog

APRIL 26, 2024

Today, we are excited to announce that the DBRX model , an open, general-purpose large language model (LLM) developed by Databricks , is available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. His area of focus is generative AI and AWS AI Accelerators.

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Iguazio

FEBRUARY 8, 2024

It involves parallel processing, distributed computing and automating hyperparameter tuning. Specific Use Case Realization Over General Hype - Businesses will identify specific, practical use cases for GenAI, seeking to maximize ROI. This includes versioning, ingestion and ensuring data quality. How Does MLOps Work?

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PyImageSearch

OCTOBER 30, 2023

Spotify Music Recommendation Systems Even though the task of music recommendations might feel similar to movie recommendations (as we learned in Netflix recommendation systems ), there are several differences in how both works: The song catalog is quite large compared to movies ( Figure 2 ). The same song can have multiple variations (e.g.,

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Pickl AI

OCTOBER 9, 2023

This technology allows computers to learn from historical data, identify patterns, and make data-driven decisions without explicit programming. The Challenge: XYZ Retail, with a vast product catalog and a sprawling network of stores, faced significant challenges in keeping inventory levels optimized.

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Alation

SEPTEMBER 6, 2022

Ten years ago, there was no modern data catalog. Michael Ting, Senior Software Engineer, Alation: Before I joined Alation, I was studying synthetic and computational bioengineering. He also shared the data catalog, along with his vision for what Alation wanted the world of data to be and how that would solve pain points for people.

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Flipboard

NOVEMBER 24, 2023

Data scientists and ML engineers require capable tooling and sufficient compute for their work. The service handles all those processes automatically, providing a powerful technical platform that is generally up to date and ready to use. A data scientist team orders a new JuMa workspace in BMW’s Catalog.

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AWS Machine Learning Blog

MAY 30, 2023

For general guidance on using Cost Explorer, refer to AWS Cost Explorer’s New Look and Common Use Cases. Selecting the SageMaker service filter and grouping by the Usage type dimension in Cost Explorer gives you a general idea of cost distribution based on SageMaker usage type.

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Alation

MARCH 16, 2023

This was one of the earliest affordable personal computers (see picture below — and yes, that is a cassette deck, which was used to load the operating system every time you switched it on, though Dad added an external floppy disk as soon as they existed!) Is now the time to clear that air and embrace greener thinking?

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IBM Journey to AI blog

JULY 28, 2023

Such was the case with the infamous Log4J vulnerability , where coding errors in a popular Java library allowed hackers to remotely run malware on victims’ computers. Generally, a company conducts an extensive planning and prework phase before it launches a formal vulnerability management program.

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AWS Machine Learning Blog

MARCH 28, 2024

One of the key components of SageMaker JumpStart is the Model Hub, which offers a vast catalog of pre-trained models, such as the Mixtral-8x7B, for a variety of tasks. Although it’s essential to capture the general essence of a document, it’s equally crucial to recognize and represent the varied sub-contexts within.

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Hacker News

FEBRUARY 28, 2023

Initially, the goal of this project was to count how many times each entity claimed access to T-Mobile throughout 2022, by cataloging the various “Tmo up!” ” posts from each day and working backwards from Dec. ” message announcement.

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Flipboard

MARCH 23, 2023

Many of these are unsurprising: you can ask it to write a letter, you can ask it to make up a story, you can ask it to write descriptive entries for products in a catalog. 3 Humans don’t have a problem understanding sentences like these, but it’s a difficult problem for computers. the internet in general.

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AWS Machine Learning Blog

MAY 1, 2024

Kara Yang is a data scientist at AWS Professional Services, adept at leveraging cloud computing, machine learning, and Generative AI to tackle diverse industry challenges. file for deploying the solution using the AWS CDK.

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