ODSC - Open Data Science

MARCH 12, 2025

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. The rise and fall of data science trends reflect the ever-changing nature of the field.

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Analytics Vidhya

JUNE 29, 2022

This article was published as a part of the Data Science Blogathon. Hive, founded by Facebook and later Apache, is a data storage system created for the purpose of analyzing structured data. Operating under an open-source data platform called Hadoop, Apache Hive is a software application released in 2010 (October).

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Flipboard

JULY 11, 2023

The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

Data Platform 123

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IBM Journey to AI blog

OCTOBER 4, 2023

Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads.

Metadata 238

Metadata AI Strategy Data Scientist Big Data 238

Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? How Professionals Can Use Tableau for Data Science? Additionally.

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IBM Journey to AI blog

JUNE 8, 2023

Krista also plans to continue to deepen its work with IBM, including exploring the upcoming IBM watsonx AI and data platform , to help clients like Zimperium unlock AI’s true potential. The post How Krista Software helped Zimperium speed development and reduce costs with IBM Watson appeared first on IBM Blog.

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AWS Machine Learning Blog

APRIL 1, 2025

Over the years, he has helped multiple customers on data platform transformations across industry verticals. His core area of expertise include Technology Strategy, Data Analytics, and Data Science. In his spare time, he enjoys playing sports, binge-watching TV shows, and playing Tabla.

LLM 108

LLM Data Scientist Data Science Generative AI 108

Pickl AI

JULY 10, 2023

What is R in Data Science? R is an open-source programming language that you can use for free and is compatible with different operating systems and platforms. As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. How is R Used in Data Science?

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Data Science Data Scientist Machine Learning Data Analysis 52

AI News

SEPTEMBER 26, 2023

AI and machine learning (ML) models are incredibly effective at doing this but are complex to build and require data science expertise. HT: When companies rely on managing data in a customer data platform (CDP) in tandem with AI, they can create strong, personalised campaigns that reach and inspire their customers.

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Mlearning.ai

MARCH 15, 2023

The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. Before going into the main purpose of this article, what is data?

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Data Science Data Scientist Big Data Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps. IBM watsonx consists of the following: IBM watsonx.ai

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

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IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. What is machine learning?

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IBM Journey to AI blog

OCTOBER 14, 2024

. “Most data being generated every day is unstructured and presents the biggest new opportunity.” ” We wanted to learn more about what unstructured data has in store for AI. Donahue: We’re beginning to see data science and machine learning engineering teams work more closely with data engineering teams.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

Machine Learning 135

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ODSC - Open Data Science

DECEMBER 7, 2023

How to Add Domain-Specific Knowledge to an LLM Based on Your Data In this article, we will explore one of several strategies and techniques to infuse domain knowledge into LLMs, allowing them to perform at their best within specific professional contexts by adding chunks of documentation into an LLM as context when injecting the query.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

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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. But with the IBM watsonx™ AI and data platform , organizations have a powerful tool in their toolbox for scaling AI.

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IBM Journey to AI blog

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 186

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AWS Machine Learning Blog

OCTOBER 20, 2023

Data lake foundations This module helps data lake admins set up a data lake to ingest data, curate datasets, and use the AWS Lake Formation governance model for managing fine-grained data access across accounts and users using a centralized data catalog, data access policies, and tag-based access controls.

ML 128

ML Data Scientist ML Engineer Data Science 128

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

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AWS Machine Learning Blog

DECEMBER 7, 2023

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

Convolutional Neural Networks 126

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John Snow Labs

FEBRUARY 12, 2025

It provides a suite of tools for data engineering, data science, business intelligence, and analytics. Once you’re logged in, head over to the Microsoft Fabric Data Science section. In this section, we cover how-to run successfully John Snow Labs LLMs on Azure Fabric.

Large Language Models 52

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ODSC - Open Data Science

JUNE 1, 2023

Streaming platform — Acts as the source of truth for event data and must therefore handle high volume and concurrency of data being produced and consumed. Stream processor — Reads events from the streaming data platform and then takes some action on that event. Front end — The thing that end users interact with.

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IBM Journey to AI blog

AUGUST 1, 2023

More accurate analytics Business leaders and other stakeholders can perform AI-assisted analyses to interpret large amounts of unstructured data, giving them a better understanding of the market, reputational sentiment, etc. The platform comprises three powerful products: The watsonx.ai

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Generative AI Data Scientist Machine Learning BERT 176

AWS Machine Learning Blog

OCTOBER 3, 2024

Despite the advancements in open source data science frameworks and cloud services, deploying and operating these models remains a significant challenge for organizations. Snowflake is the preferred data platform, and it receives data from Step Functions state machine runs through Amazon CloudWatch logs.

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DevOps Data Science Data Scientist ML 90

NVIDIA

AUGUST 28, 2023

We’re currently implementing this integration and already seeing over 20x speed improvements at half the cost for our data engineering and data science workflows,” said Joe Ansaldi, technical branch chief of the research and applied analytics and statistics division at the IRS, in a blog. Learn more in this solution brief.

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Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning 98

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ODSC - Open Data Science

FEBRUARY 22, 2024

8 AI Research Labs Pushing the Boundaries of Artificial Intelligence These eight AI research labs are designing the future of the field of data science, ranging from developing new LLMs to using AI to improve quality of life. will bring unrivaled speed, convenience, and efficiency to data app development. How Dash Enterprise 5.2

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Flipboard

NOVEMBER 24, 2023

The service streamlines ML development and production workflows (MLOps) across BMW by providing a cost-efficient and scalable development environment that facilitates seamless collaboration between data science and engineering teams worldwide. This results in faster experimentation and shorter idea validation cycles.

ML 153

ML DevOps Data Scientist ML Engineer 153

IBM Journey to AI blog

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

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ODSC - Open Data Science

SEPTEMBER 17, 2024

Mastery of these AI frameworks for software engineering, and other emerging tools, not only enhances your skillset but also opens up a world of opportunities in data science and AI. Software engineers should be well-versed in NumPy as it underpins most data science and machine learning libraries.

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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.

Software Engineer 52

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ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

AWS Machine Learning Blog

MAY 15, 2023

Solution overview Six people from Getir’s data science team and infrastructure team worked together on this project. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

Neural Network 86

Neural Network Convolutional Neural Networks Metadata Data Scientist 86

NVIDIA

MARCH 18, 2025

The new NVIDIA-Certified Storage program announced today at the NVIDIA GTC global AI conference validates that enterprise storage systems meet stringent performance and scalability data requirements for AI and high-performance computing workloads.

Data Platform 60

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ODSC - Open Data Science

JULY 19, 2023

A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team. For the customer, this helps them reduce the time it takes to bootstrap a new data science project and get it to production.

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