AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

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ODSC - Open Data Science

DECEMBER 7, 2023

8 Tools to Protect Sensitive Data from Unintended Leakage In order to protect themselves from unintended leakage of sensitive information, organizations employ a variety of tools that scan repositories and code continuously to identify the secrets that are hard-coded within.

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Explainable AI Data Scientist Data Science Python 98

IBM Journey to AI blog

JULY 12, 2023

It must be designed to be explainable, fair, robust and transparent, and prioritize and safeguard consumers’ privacy and data rights to help engender trust. IBM watsonx —our enterprise AI and data platform—offers a seamless, efficient, and governed approach to AI deployment across a variety of environments.

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Marktechpost

MARCH 12, 2024

These include data life cycle management, labeling, participatory data, ML safety and fairness evaluation, explainability, compliance, and more. The data resources and organization information make tools for data cleaning, refining, and analysis easier to design. Check out the Blog and Project.

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Metadata Machine Learning ML Data Discovery 120

IBM Journey to AI blog

JUNE 23, 2023

While you may have learned about generative artificial intelligence (AI), you may not know what it means for the future of Finance and Accounting (F&A). As the name suggests, it generates images, music, speech, code, video or text, while it interprets and manipulates preexisting data.

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IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. What is artificial intelligence and how does it work?

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Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Even though the titles are new, the ideas are not really new. Exciting News!

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Metadata Data Platform Deep Learning Data Quality 52

IBM Journey to AI blog

JULY 17, 2023

With the recent launch of watsonx, IBM’s next-generation AI and data platform, AI is being taken to the next level with three powerful components: watsonx.ai, watsonx.data and watsonx.governance. Watsonx.data allows scaling of AI workloads using customer data. Watsonx.ai Watsonx.ai

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly.

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ODSC - Open Data Science

MARCH 22, 2024

The brilliant solution is pretty disruptive, and although I am a great believer in Data Mesh, particularly after the successful implementation at PayPal ( The next generation of Data Platforms is Data Mesh ), it involves a lot of changes at the organizational level.

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IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

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Large Language Models LLM Explainability Chatbots 229

Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. With the advent of AI (artificial intelligence), Excel users no longer need to memorize hundreds of long, winding Excel formulas to enter complex calculations and get thorough insights.

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AWS Machine Learning Blog

AUGUST 3, 2023

It can be installed using npm as explained in our GitHub repository. Aamna Najmi is a Data Scientist with AWS Professional Services. She is passionate about helping customers innovate with Big Data and Artificial Intelligence technologies to tap business value and insights from data.

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Computer Vision Data Scientist ML Deep Learning 66

IBM Journey to AI blog

MAY 21, 2024

As Victor Orta, Sevilla FC Sporting Director, explained at his conference during the World Football Summit in 2023: “We are never going to sign a player with data alone, but we will never do it without resorting to data either. In fact, paperwork is a much more significant part of the job than one might imagine.

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NLP Natural Language Processing Explainability Generative AI 167

IBM Journey to AI blog

SEPTEMBER 7, 2023

As we apply the technology more widely across areas ranging from customer service to HR to code modernization, artificial intelligence (AI) is helping increasing numbers of us work smarter, not harder. IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. IBM watsonx consists of the following: IBM watsonx.ai

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IBM Journey to AI blog

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021.

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Generative AI Data Scientist BERT Machine Learning 140

AWS Machine Learning Blog

AUGUST 4, 2023

To delete the resources (API Gateway and SageMaker endpoint) created by CodePipeline, navigate to the AWS CloudFormation console and delete the stack that was created.

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IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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Machine Learning Automation AI AI 179

Pickl AI

JULY 10, 2023

. · Big Data Analytics: R has solutions for handling large-scale datasets and performing distributed computing. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark.

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Data Science Data Scientist Machine Learning Data Analysis 52

IBM Journey to AI blog

MARCH 13, 2024

Learn more about the watsonx AI and data platform The post AI will change the world—the terms are up to us appeared first on IBM Blog. Navigating the increasingly complex global regulatory landscape is a challenge for businesses and organizations of all sizes.

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IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

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IBM Journey to AI blog

JULY 27, 2023

Artificial intelligence is disrupting many different areas of business. Precisely conducted a study that found that within enterprises, data scientists spend 80% of their time cleaning, integrating and preparing data , dealing with many formats, including documents, images, and videos.

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Generative AI AI AI Chatbots 137

The MLOps Blog

MARCH 21, 2023

They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. The user stories will explain how your data scientist will go about solving a company’s use case(s) to get to a good result.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker Canvas provides a no-code experience to access data from Salesforce Data Cloud and build, test, and deploy models using just a few clicks. SageMaker Canvas also enables you to understand your predictions using feature importance and SHAP values, making it straightforward for you to explain predictions made by ML models.

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ML Data Scientist AI Modeling Natural Language Processing 74