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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ODSC - Open Data Science

OCTOBER 9, 2024

Confirmed sessions related to software engineering include: Building Data Contracts with Open-Source Tools Chronon — Open Source Data Platform for AI/ML Creating APIs That Data Scientists Will Love with FastAPI, SQLAlchemy, and Pydantic Using APIs in Data Science Without Breaking Anything Don’t Go Over the Deep End: Building an Effective OSS Management (..)

Software Engineer 40

Software Engineer Software Development DevOps ETL 40

TransOrg Analytics

AUGUST 9, 2024

In the realm of data management and analytics, businesses face a myriad of options to store, manage, and utilize their data effectively. Understanding their differences, advantages, and ideal use cases is crucial for making informed decisions about your data strategy.

Machine Learning 52

Machine Learning ETL Big Data Data Analysis 52

Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. It offers several advantages for handling big data effectively.

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Big Data Machine Learning Data Quality Data Analysis 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

But, the amount of data companies must manage is growing at a staggering rate. Research analyst firm Statista forecasts global data creation will hit 180 zettabytes by 2025. In our discussion, we cover the genesis of the HPCC Systems data lake platform and what makes it different from other big data solutions currently available.

Big Data 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.

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NLP Data Science Machine Learning Data Analysis 52

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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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.

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Convolutional Neural Networks Neural Network Algorithm Machine Learning 126

Pickl AI

OCTOBER 10, 2024

Enhanced Data Quality : These tools ensure data consistency and accuracy, eliminating errors often occurring during manual transformation. Scalability : Whether handling small datasets or processing big data, transformation tools can easily scale to accommodate growing data volumes.

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ETL Data Quality Business Intelligence Big Data 52

ODSC - Open Data Science

JULY 13, 2023

For example, retailers could analyze and reveal trends much faster with a big data platform. Data analytics in the retail industry may solve many application issues. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Categorization Data Science Machine Learning Big Data 52

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.

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ML Data Scientist ML Engineer Data Science 126

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.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

Pickl AI

SEPTEMBER 25, 2024

Read Blog: How Can Adopting a Data Platform Simplify Data Governance For An Organization? You should also know about: Characteristics of Big Data: Types & 5 V’s of Big Data. Also check out these blogs: Growing Role of Data Science in Space Technology. What is the COBIT Framework?

Big Data 52

Big Data Big Data Engineer Data Science Data Platform 52

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.

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Data Mining Machine Learning Data Scientist Artificial Intelligence 98

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks. MongoDB, developed by MongoDB Inc.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 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.

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Convolutional Neural Networks Neural Network Metadata Data Scientist 83

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.

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ML DevOps Data Scientist ML Engineer 151

Artificial Corner

JUNE 6, 2023

With a single shake of their staff they can command the power of data into magical intelligence never seen before, intelligence that will finally provide the answer to the unanswerable. With large scale investment in server farms, where immense amounts of data could be captured, stored and somehow used. This will impact the data realm.

Big Data 52

Big Data Data Mining Data Scientist Business Intelligence 52

AWS Machine Learning Blog

FEBRUARY 13, 2024

With a strong background in computer vision, data science, and deep learning, he holds a postgraduate degree from IIT Bombay. He has worked on building enterprise-grade applications, building data platforms in multiple organizations and reporting platforms to streamline decisions backed by data.

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Computer Vision Convolutional Neural Networks AI AI 126

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Bosco Albuquerque is a Sr. Matt Marzillo is a Sr.

IDP 123

IDP Data Scientist Categorization Data Quality 123

Pickl AI

APRIL 26, 2024

I would first perform exploratory data analysis to understand the data distribution and identify potential patterns or insights. Then, I would use sampling techniques or employ big data processing tools like Apache Spark to analyse the large dataset efficiently. Lifetime access to updated learning materials.

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Data Analysis Machine Learning ETL Explainability 52

AWS Machine Learning Blog

SEPTEMBER 6, 2024

He collaborates closely with enterprise customers building modern data platforms, generative AI applications, and MLOps. He is specialized in the design and implementation of big data and analytical applications on the AWS platform.

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IBM Journey to AI blog

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

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Metadata Data Platform Big Data Data Science 213

Marktechpost

NOVEMBER 1, 2024

Databricks Unified Data Analytics Platform Databricks provides a single cloud-based platform for the large-scale deployment of enterprise-grade AI and data analytics solutions. Google Cloud Smart Analytics supports organizations in building data-driven workflows and implementing AI at scale.

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Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 98

TransOrg Analytics

SEPTEMBER 24, 2024

AWS Data Exchange: Access third-party datasets directly within AWS. Data & ML/LLM Ops on AWS Amazon SageMaker: Comprehensive ML service to build, train, and deploy models at scale. Amazon EMR: Managed big data service to process large datasets quickly. Snowpark: Native support for data engineering and ML workflows.

ETL 52

ETL Data Ingestion LLM Automation 52

Pickl AI

JUNE 11, 2024

In-Memory Computing This technology allows for storing and processing data in RAM for faster query response times, enabling real-time analytics. Big Data Integration Data warehouses are increasingly incorporating big data technologies to handle vast volumes of data from diverse sources.

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