IBM Journey to AI blog

AUGUST 23, 2023

So, if we are training a LLM on proprietary data about an enterprise’s customers, we can run into situations where the consumption of that model could be used to leak sensitive information. In-model learning data Many simple AI models have a training phase and then a deployment phase during which training is paused.

Large Language Models 167

Large Language Models Data Discovery LLM AI 167

AWS Machine Learning Blog

AUGUST 22, 2024

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry. Verisk’s Discovery Navigator product is a leading medical record review platform designed for property and casualty claims professionals, with applications to any industry that manages large volumes of medical records.

Generative AI 112

Generative AI Auto-complete Software Development Automation 112

AWS Machine Learning Blog

MAY 31, 2024

The General Data Protection Regulation (GDPR) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Knowledge Bases for Amazon Bedrock manages the end-to-end RAG workflow for you.

Generative AI 130

Generative AI Machine Learning Artificial Intelligence Artificial Intelligence 130

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

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. Resiliency to disruption is necessary to gain trust and keep information at the forefront.

Business Intelligence 52

Business Intelligence Data Science Composite AI Automation 52

Pickl AI

JUNE 13, 2024

This blog explores what data classification is, its benefits, and different approaches to categorize your information. Discover how to protect sensitive data, ensure compliance, and streamline data management. Introduction In today’s digital age, information is king. It is your secret weapon.

Categorization 52

Categorization Automation Data Discovery Algorithm 52

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

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

ODSC - Open Data Science

FEBRUARY 13, 2024

Its goal is to reveal possible data compromise early. How does DSPM help you prevent data breaches? First, It Discovers The Data “You can’t protect what you can’t see” is the common mantra in information security. Discovering what kind of data you have is DSPM’s starting point. They have to be quick to respond.

Data Science 52

Data Science Data Discovery Machine Learning Automation 52

Pickl AI

OCTOBER 14, 2024

Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. It systematically examines data to uncover patterns, trends, and relationships that help organisations solve problems and make strategic choices. Data Analysis plays a crucial role in filtering and structuring this data.

Data Analysis 52

Data Analysis Data Mining Data Discovery Machine Learning 52

Pickl AI

JULY 25, 2024

Summary: Data ingestion is the process of collecting, importing, and processing data from diverse sources into a centralised system for analysis. This crucial step enhances data quality, enables real-time insights, and supports informed decision-making. It supports both batch and real-time processing.

Data Ingestion 52

Data Ingestion ETL Data Quality Data Integration 52

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 IBM product Infosphere Information Server was created in 2008.

ETL 52

ETL Data Integration Business Intelligence Automation 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

Pickl AI

OCTOBER 10, 2023

This involves implementing data validation processes, data cleansing routines, and quality checks to eliminate errors, inaccuracies, or inconsistencies. Reliable data is essential for making informed decisions and conducting meaningful analyses. For more information on this, connect with Pickl.AI

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

This is achieved by automatically scanning an organization’s data landscape (SaaS, IaaS, cloud data lakes and warehouses, etc.) and getting granular insights into all the sensitive information and AI systems. 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

In today’s data-driven world, data analysts play a crucial role in various domains. Businesses use data extensively to inform strategy, enhance operations, and obtain a competitive edge. Tableau is a cost-effective option for businesses concentrating on data-driven storytelling and visualization.

Data Analysis 81

Data Analysis Machine Learning Data Science Python 81

Marktechpost

NOVEMBER 1, 2024

Tableau Tableau is well known for its user-friendly data visualization features, which let users make dynamic, interactive dashboards without knowing any code. Ask Data, an AI-powered element of the tool, allows users to ask questions in natural language and instantly get visual insights.

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. Adopting a zero-trust approach to data security and privacy means never assuming anyone or anything is trustworthy.

Natural Language Processing 179

Natural Language Processing Data Discovery Automation Big Data 179

IBM Journey to AI blog

OCTOBER 30, 2024

Moreover, LRRs and other industry frameworks, such as the National Institute of Standards and Technology (NIST), Information Technology Infrastructure Library (ITIL), and Control Objectives for Information and Related Technologies (COBIT), are constantly evolving.

Prompt Engineering 238

Prompt Engineering Prompt Engineer 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. You still need to know all of that information. There are a lot of cases where the hard part is just being able to have the right data to make decisions.

Large Language Models 52

Large Language Models Machine Learning Software Engineer Natural Language Processing 52

Pickl AI

FEBRUARY 9, 2025

Its user-friendly interface and collaboration features make data accessible and insightful for businesses of all sizes. Introduction In today’s data-driven world, the ability to effectively analyse and visualise information is paramount. It transforms complex data into clear visuals, enabling informed decisions.

Big Data 52

Big Data Data Quality Data Analysis Data Discovery 52