ODSC - Open Data Science

JULY 20, 2023

Popular Machine Learning Libraries, Ethical Interactions Between Humans and AI, and 10 AI Startups in APAC to Follow Demystifying Machine Learning: Popular ML Libraries and Tools In this comprehensive guide, we will demystify machine learning, breaking it down into digestible concepts for beginners, including some popular ML libraries to use.

Machine Learning 52

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AWS Machine Learning Blog

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. It also allows you to deploy and share these models with ML and MLOps specialists after creation.

ML 119

ML ML AWS Data Science 119

AWS Machine Learning Blog

AUGUST 21, 2024

By using the AWS SDK, you can programmatically access and work with the processed data, observability information, inference parameters, and the summary information from your batch inference jobs, enabling seamless integration with your existing workflows and data pipelines.

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Precisely

MARCH 7, 2024

When AI models are trained with subpar or inaccurate data, the repercussions extend far beyond initial inaccuracies. Bad data has a multiplier effect when companies deploy it for AI. AI/ML models make inferences, derive business insights, and determine outcomes, all of which are foundational to decision-making processes.

AI 72

AI AI Data Governance Data Quality 72

Alation

MAY 24, 2022

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Alation has been leading the evolution of the data catalog to a platform for data intelligence.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Heartbeat

MAY 30, 2023

Knowing about these two subfields and how they relate and differ from one another is also essential as you advance in ML/AI. GANs are a type of neural network design used to develop new data samples that are similar to the training data. What are Generative Adversarial Networks (GANs)? How does DRL work?

Deep Learning 72

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Precisely

MAY 16, 2024

Implement robust data quality measures to ensure your data is accurate, consistent, and standardized, as well as a governance framework to maintain its quality over time. Using trusted data to train and fine-tune your ML and GenAI models in Amazon SageMaker and Amazon Bedrock is essential for reliable AI predictions and decisions.

AI 69

AI AI AWS Data Quality 69

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 52

DagsHub

AUGUST 23, 2024

As companies increasingly rely on data for decision-making, poor-quality data can lead to disastrous outcomes. Even the most sophisticated ML models, neural networks, or large language models require high-quality data to learn meaningful patterns. When bad data is inputted, it inevitably leads to poor outcomes.

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

Precisely

SEPTEMBER 11, 2023

By bringing the power of AI and machine learning (ML) to the Precisely Data Integrity Suite, we aim to speed up tasks, streamline workflows, and facilitate real-time decision-making. This includes automatically detecting over 300 semantic types, personally identifiable information, data patterns, data completion, and anomalies.

Data Quality 52

Data Quality AI AI ML 52

Mlearning.ai

JUNE 21, 2023

Introduction The world of data science and machine learning (ML) is filled with an array of powerful tools and techniques. Among them, the Hidden Markov Chain (HMC) model stands out as a versatile and robust approach for analyzing sequential data. Observed variables are the data points that we have access to.

Data Scientist 52

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IBM Journey to AI blog

AUGUST 23, 2023

Build a governed foundation for generative AI with IBM watsonx and data fabric With IBM watsonx , IBM has made rapid advances to place the power of generative AI in the hands of ‘AI builders’ IBM watsonx.ai Watsonx also includes watsonx.data — a fit-for-purpose data store built on an open lakehouse architecture.

Data Governance 66

Data Governance AI AI Artificial Intelligence 66

IBM Journey to AI blog

DECEMBER 16, 2022

Gartner calls out IBM’s innovation in metadata and AI-/ML-driven automation in Watson Knowledge Catalog on Cloud Pak for Data, along with fully integrated quality and governance capabilities, as key differentiators that make IBM a leading vendor in competitive evaluations.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

IBM Journey to AI blog

JULY 3, 2024

With an open data lakehouse architecture, you can now optimize your data warehouse workloads for price performance and modernize traditional data lakes with better performance and governance for AI. This approach ensures that data quality initiatives deliver on accuracy, accessibility, timeliness and relevance.

AI 45

AI AI Data Quality Database 45

Pickl AI

JULY 8, 2024

Robust validation and monitoring frameworks enhance pipeline reliability and trustworthiness, safeguarding against data-driven decision-making risks. Must Read Blogs: Elevate Your Data Quality: Unleashing the Power of AI and ML for Scaling Operations. The Difference Between Data Observability And Data Quality.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

IBM Journey to AI blog

JUNE 5, 2024

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. AI- and ML-generated SaaS analytics enhance: 1. Predictive analytics.

Analytics 94

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Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

DataOps 52

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Precisely

FEBRUARY 9, 2024

When it comes to AI outputs, results will only be as strong as the data that’s feeding them. Trusting your data is the cornerstone of successful AI and ML (machine learning) initiatives, and data integrity is the key that unlocks the fullest potential.

Data Quality 69

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Precisely

OCTOBER 12, 2023

When we look by the numbers at the trends influencing data strategies, the survey says that organizations are … increasing flexibility, efficiency, and productivity while lowering costs through cloud adoption (57%) and digital transformation (43%) focusing on technologies that will help them manage resource shortages. Intelligence.

Data Quality 64

Data Quality Data Governance ML ML 64

Precisely

OCTOBER 10, 2024

Organizations are evaluating modern data management architectures that will support wider data democratization. Why data democratization matters First and foremost, data democratization is about empowering employees to access the data that informs better business decisions.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52