Marktechpost

APRIL 19, 2024

The platform’s distinctive and adaptable design makes connecting and organizing data across any cloud storage option possible. As a result, data silos are eliminated and procedures are streamlined. Key Features When it comes to artificial intelligence, old-fashioned data management technologies can’t keep up.

Artificial Intelligence 106

Artificial Intelligence Artificial Intelligence Data Discovery Automation 106

IBM Journey to AI blog

AUGUST 23, 2023

If you add in IBM data governance solutions, the top left will look a bit more like this: The data governance solution powered by IBM Knowledge Catalog offers several capabilities to help facilitate advanced data discovery, automated data quality and data protection.

Large Language Models 167

Large Language Models Data Discovery LLM AI 167

IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

IBM Journey to AI blog

JANUARY 5, 2023

Stakeholders can identify business use cases for certain data types, such as running data analytics on real-time data as it’s ingested to automate decision-making to drive cost reduction. Taking an inventory of existing data assets and mapping current data flows.

Data Quality 130

Data Quality Metadata Big Data ETL 130

AWS Machine Learning Blog

AUGUST 22, 2024

Discovery Navigator recently released automated generative AI record summarization capabilities. By automating the extraction and organization of key treatment data and medical information into a concise summary, claims handlers can now identify important bodily injury claims data faster than before.

Generative AI 109

Generative AI Auto-complete Software Development Automation 109

IBM Journey to AI blog

JULY 3, 2024

Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, data classification, organization and tagging.

Data Quality 112

Data Quality Metadata Business Intelligence AI 112

ODSC - Open Data Science

OCTOBER 25, 2024

Focusing on multiple myeloma (MM) clinical trials, SEETrials showcases the potential of Generative AI to streamline data extraction, enabling timely, precise analysis essential for effective clinical decision-making. Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai

Data Scientist 52

Data Scientist Software Engineer Automation Machine Learning 52

ODSC - Open Data Science

JULY 20, 2023

According to reports from the Wall Street Journal, the goal is to provide IBM with “greater automation capabilities.” For those unaware, Apptio is a provider of automated software cost management and other hybrid-IT tools. These moves signal to some that IBM is going in deep with automation. Customer Support Startup Cohere.io

Machine Learning 52

Machine Learning Data Science Neural Network Automation 52

ODSC - Open Data Science

JUNE 2, 2023

Business users can access relevant insights quickly without turning IT or analytics departments into bottlenecks, and analysts can take advantage of business acumen to direct their analysis focusing on advanced modeling and automation. Win-win, right?

Business Intelligence 52

Business Intelligence Data Science Composite AI Automation 52

Attivio

JUNE 8, 2015

June 8, 2015: Attivio ( www.attivio.com ), the Data Dexterity Company, today announced Attivio 5, the next generation of its software platform. And anecdotal evidence supports a similar 80% effort within data integration just to identify and profile data sources.” [1] Newton, Mass.,

Business Intelligence 40

Business Intelligence Big Data Data Discovery Data Scientist 40

AWS Machine Learning Blog

MAY 31, 2024

Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data. You can also use custom data identifiers to create data identifiers tailored to your specific use case. Complete implementation details are beyond the scope of this post.

Generative AI 128

Generative AI Machine Learning Artificial Intelligence Artificial Intelligence 128

Pickl AI

JUNE 13, 2024

You can categorize by sensitivity (public vs confidential) or content (financial data vs emails). Some tasks require human expertise, while others benefit from automation. Here is the breakdown of the data classification: Sensitivity-based Classification This method classifies data based on the potential impact of a breach.

Categorization 52

Categorization Automation Data Discovery Algorithm 52

ODSC - Open Data Science

FEBRUARY 13, 2024

Fourth, It Responds to Incidents DSPM relies on automated incident response. The majority of data breaches start with unauthorized logins into the network. In 2023, a threat actor stole the data of 2.3 With the automated remediation that DSPM offers, access policies can be tweaked to adhere to zero trust methodology.

Data Science 52

Data Science Data Discovery Machine Learning Automation 52

Pickl AI

JULY 25, 2024

Enhanced Data Utilisation Effective ingestion unlocks the full potential of data by making it available for advanced analytics, machine learning, and artificial intelligence applications, driving innovation and business growth. Data Ingestion Tools To facilitate the process, various tools and technologies are available.

Data Ingestion 52

Data Ingestion ETL Data Quality Data Integration 52

The MLOps Blog

MAY 17, 2023

Data Quality Check: As the data flows through the integration step, ETL pipelines can then help improve the quality of data by standardizing, cleaning, and validating it. This ensures that the data which will be used for ML is accurate, reliable, and consistent. 4 How to create scalable and efficient ETL data pipelines.

ETL 59

ETL ML Machine Learning Data Scientist 59

Marktechpost

JULY 18, 2023

The entire ETL procedure is automated using an ETL tool. ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. The processors that make up the data flows can be customized by the user.

ETL 52

ETL Data Integration Business Intelligence Automation 52

Pickl AI

OCTOBER 14, 2024

Clustering: Grouping similar data points to identify segments within the data. Applications EDA is widely employed in research and data discovery across industries. Researchers use EDA to better understand their data before conducting more formal statistical analyses.

Data Analysis 52

Data Analysis Data Mining Data Discovery Machine Learning 52

Pickl AI

OCTOBER 10, 2023

These include: Connecting data to scan and inspect data from a wide range of sources and pipelines Gaining awareness by identifying relationships between different data sources Automating Data Quality controls by using machine learning to generate new quality monitoring rules based on evolving data patterns and sources Adapting business workflows and (..)

Data Quality 52

Data Quality Machine Learning Data Science Data Integration 52

Snorkel AI

JULY 5, 2023

Generally, data is produced by one team, and then for that to be discoverable and useful for another team, it can be a daunting task for most organizations. Even larger, more established organizations struggle with data discovery and usage. But in other cases, as much as you can automate, the better you are.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

Generally, data is produced by one team, and then for that to be discoverable and useful for another team, it can be a daunting task for most organizations. Even larger, more established organizations struggle with data discovery and usage. But in other cases, as much as you can automate, the better you are.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

Generally, data is produced by one team, and then for that to be discoverable and useful for another team, it can be a daunting task for most organizations. Even larger, more established organizations struggle with data discovery and usage. But in other cases, as much as you can automate, the better you are.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Unite.AI

AUGUST 7, 2024

Securiti further enriches this information with deep contextual insights building a real-time knowledge graph, including whom the data belongs to, access entitlements, what regulations apply, where the data is located and more. Can you discuss the role of AI in Securiti’s platform and how it enhances data security and governance?

Data Discovery 147

Data Discovery LLM Automation AI Modeling 147

Marktechpost

NOVEMBER 4, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Data Analysis 81

Data Analysis Machine Learning Data Science Python 81

Marktechpost

NOVEMBER 1, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Artificial Intelligence 96

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 96

IBM Journey to AI blog

AUGUST 3, 2023

The risks include non-compliance to regulatory requirements and can lead to excessive hoarding of sensitive data when it’s not necessary. It’s both a data security and privacy issue.

Natural Language Processing 179

Natural Language Processing Data Discovery Automation Big Data 179

IBM Journey to AI blog

OCTOBER 30, 2024

IBM watsonx™ can be used to automate the identification of regulatory obligations and map legal and regulatory requirements to a risk governance framework. A gen AI-powered conversational interface simplifies data discovery, augmentation and visualization without SQL proficiency requirements (currently in technology preview).

Prompt Engineer 238

Prompt Engineer Prompt Engineering ETL Machine Learning 238

The MLOps Blog

JUNE 5, 2023

One of the hardest things about MLOps today is that a lot of data scientists aren’t native software engineers, but it may be possible to lower the bar to software engineering. I’ve seen tools that help you write and author pull requests more efficiently, and that help automate building documentation.

Large Language Models 52

Large Language Models Machine Learning Software Engineer Natural Language Processing 52

Pickl AI

FEBRUARY 9, 2025

Data Management Tableau Data Management helps organisations ensure their data is accurate, up-to-date, and easily accessible. It includes features for data source cataloguing, data quality checks, and automated data updates for Prep workflow.

Big Data 52

Big Data Data Quality Data Analysis Data Discovery 52