Ontotext

OCTOBER 19, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. AIDAVA starts with AI – what is the role of AI in this project? Firstly, we are planning to facilitate curation with AI-based tools through a Virtual Assistant.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

Cloudera

MARCH 22, 2024

Let’s dive into what this means and why it’s a game-changer for our customers. Consider it like fortifying the foundation of a house: moving to RHEL is about laying a stronger, more supportive groundwork for your data platform.

Enterprise 112

Enterprise Measurement Management Technology 112

IBM Big Data Hub

JUNE 14, 2023

You need to collect, curate, and annotate data for any specific task you want to perform. With a foundation model, often using a kind of neural network called a “transformer” and leveraging a technique called self-supervised learning, you can create pre-trained models for a vast amount of unlabeled data.

Modeling 93

Modeling Data Lake Enterprise Deep Learning 93

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. Today, a tiny homogeneous group of people determine what data to use to train generative AI models, which is drawn from sources that greatly overrepresent English.

Modeling 91

Modeling Predictive Modeling Risk Statistics 91

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 77

Risk Modeling Management Metadata 77

IBM Big Data Hub

JANUARY 3, 2024

The COVID-19 pandemic revealed disturbing data about health inequity. What is available over the counter that may work instead? Curating AI responsibly is a sociotechnical challenge that requires a holistic approach. The NIH further stated that between 47.5 million and 51.6 million Americans cannot afford to go to a doctor.

Metadata 80

Metadata Modeling Testing Manufacturing 80

Ontotext

FEBRUARY 14, 2024

In the same way, it’s good to know what you need to have in place to feel all the benefits knowledge graphs can bring. If they know why they are doing it, they’ll be in a better position to deliver what they’ve been asked to do. Based on our experience, we’ve found that there are some common stumbling blocks.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

AWS Big Data

MARCH 2, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. AWS Glue 3.0

Data Lake 117

Data Lake Data Processing Metadata Snapshot 117

Alation

FEBRUARY 3, 2022

What do all these disciplines have in common? What Is Continuous Improvement? The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. So how does data governance relate to DataOps? Data governance is a key data management process.

Data Governance 98

Data Governance Measurement Metadata Testing 98

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Dataiku

MARCH 25, 2024

M-LLMs seamlessly integrate multimodal information, enabling them to comprehend the world by processing diverse forms of data, including text, images, audio, and so on. M-LLMs seamlessly integrate multimodal information, enabling them to comprehend the world by processing diverse forms of data, including text, images, audio, and so on.

Visualization 132

Visualization Modeling Experimentation Testing 132

Data Science 101

NOVEMBER 29, 2019

Sign Up for the Cloud Data Science Newsletter. Preparing and Curating your data for Machine Learning A great video from Google. Preparing and Curating your data for Machine Learning A great video from Google. It is based upon this article: Preparing and curating your data for machine learning.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

Andrew White

APRIL 7, 2023

This was the title of a blog of mine from a couple of years ago: 2018: Won’t See a Massive Productivity Boost From AI – 2019 Might Show It. Not All Data is Equal Let me explore the Expedia example, and even compare it to what Gartner does in its research business. It is productivity that provides economic growth.

Data-driven 64

Data-driven Technology Marketing Publishing 64

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Metrics 82

Metrics Data Quality Data Lake Statistics 82

IBM Big Data Hub

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

Marketing 122

Marketing Strategy B2B Cost-Benefit 122

CIO Business Intelligence

MARCH 29, 2022

Corey hosts the podcast “Screaming in the Cloud” and “AWS Morning Brief” podcasts; and curates “Last Week in AWS,” a weekly newsletter summarising the latest in AWS news, blogs, and tools, sprinkled with snark and thoughtful analysis in equal measure. The CIO Boardroom will delve into what successful cloud strategies look like.

Enterprise 111

Enterprise Data Processing Strategy Statistics 111

datapine

JUNE 3, 2019

Exclusive Bonus Content: What are recruiting metrics & dashboards for? What Is Recruitment Analytics? When you are an organization looking to hire new employees, analytics and data analysis tools allow you to read data patterns that help you to formulate information-driven strategies. And why should you care?

Metrics 210

Metrics Dashboards KPI Measurement 210

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 79

Data Lake Data Architecture Data-driven Data Warehouse 79

Smart Data Collective

OCTOBER 25, 2023

But what’s the secret behind their enhanced conversational abilities? Data Privacy Concerns: With chatbots collecting vast amounts of user data, concerns about data privacy and security are ever-present. The Future of Chatbots: What Lies Beyond the Horizon? But what does the future hold?

Interactive 103

Interactive Recreation/Entertainment Machine Learning Technology 103

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis. Why do we need a data catalog?

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

IBM Big Data Hub

SEPTEMBER 6, 2023

Misconfigurations, like a cloud storage bucket that exposes sensitive data to the public internet, are also common. Cybersecurity teams then combine this external threat intelligence with company-specific data to understand how known vulnerabilities affect their unique networks. Coding errors—e.g.,

Management 109

Management Metrics Risk Reporting 109

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Alation

FEBRUARY 13, 2020

In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. Figure 1 – Data Catalog Implementation. Understanding the Adoption Challenges. See figure 1.)

Metadata 52

Metadata Data Governance Cost-Benefit Visualization 52

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

IBM Big Data Hub

APRIL 4, 2023

But the reason I believe this solution is so important is not because of what it does, but how it does it. The AI Commentary feature is a generative AI built from a large language model that was trained on a massive corpus of language data. Or what an engineer on an oil rig should do about a high pressure reading on one of the gauges.

Modeling 88

Modeling Consulting Metadata Enterprise 88

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

IBM Big Data Hub

SEPTEMBER 19, 2023

The user enters a text prompt describing what the code should do, and the generative AI code development tool automatically creates the code. Programmers enter plain text prompts describing what they want the code to do. What are the benefits of using generative AI for code? How does generative AI code generation work?

Software 88

Software IT Visualization Deep Learning 88

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality. Artificial intelligence (AI) is polarizing.

Insurance 74

Insurance Risk Testing Data Quality 74

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP data lifecycle integration and SDX security and governance. Key features of CDP Data Engineering.

Enterprise 126

Enterprise Visualization Testing Management 126

Cloudera

JUNE 7, 2021

We are excited to be recognized in this wave at, what we consider to be, such a strong position. The report states that richness of analytics, development tool options and near-effortless scalability are what streaming analytics customers should look for in a provider. . It’s too late.

IoT 101

IoT Analytics Digital Transformation Reporting 101

Alation

SEPTEMBER 7, 2021

This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

Cloudera

FEBRUARY 24, 2022

In the latest installment of the EMEA Influential Women in Data webinar series, we welcomed Shirley Collie, Chief Health Analytics Actuary at Discovery Health to discuss everything from how the pandemic has impacted working, to the opportunities within data, and the importance of intentionality. A data-driven organization.

Data-driven 81

Data-driven Statistics IT Management 81

IBM Big Data Hub

APRIL 18, 2023

At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML).

Recreation/Entertainment 77

Recreation/Entertainment Broadcasting Unstructured Data Consulting 77

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292