CIO Business Intelligence

MARCH 6, 2024

The new feature, which Claire Cheng, vice president of machine learning and AI engineering at Salesforce said was in the works last month , has been launched as the Prompt Builder and has been made generally available.

IT 121

IT Metadata Interactive Enterprise 121

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights. You don’t need to write any code. Choose Next.

Visualization 88

Visualization Metadata Testing Internet of Things 88

CIO Business Intelligence

MARCH 24, 2023

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. erwin Data Intelligence (DI) for Data Governance erwin DI combines data catalog and data literacy capabilities to provide awareness of and access to available data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

MAY 31, 2022

Business intelligence is the primary place where your data becomes an asset. But the data needs to be managed so that it can be leveraged as an asset, driving your business forward and creating positive ROI. Bonus tool: active metadata management. If you want your data to be a business asset, treat it like one.

Management 52

Management Metadata Business Intelligence ROI 52

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. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Capture and document model metadata for report generation.

Risk 76

Risk Modeling Management Metadata 76

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Smart Data Collective

MAY 11, 2023

By analyzing user data, businesses can make data-driven decisions that lead to a more successful mobile e-commerce strategy. AI analytics is a part of business intelligence that uses machine learning to find patterns and relationships in data. It automates tasks that a data analyst would typically do.

Cost-Benefit 97

Cost-Benefit Optimization Data-driven Marketing 97

Octopai

MARCH 24, 2020

Business Intelligence has a lot depending on it. But, with the amount of time it takes for BI to deliver and the amount of manual data mapping and tracing required to enable accurate delivery, you have to question if maybe BI could be made more intelligent. So, what is BI Intelligence you ask? Business Glossary.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 93

Strategy Data Architecture Cost-Benefit Reporting 93

CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Cloudera customers run some of the biggest data lakes on earth.

Data Lake 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

CIO Business Intelligence

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. It doesn’t conform to a data model but does have associated metadata that can be used to group it.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. Here is the link to Alteryx’s Data Science and Machine Learning Bake-Off video. We did two Bake-Offs this year. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Cloudera customers run some of the biggest data lakes on earth.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. Digitizing relevant physical assets and objects, such as those core samples, IT equipment, office equipment, etc.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

CIO Business Intelligence

NOVEMBER 22, 2022

The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data. The fabric, especially at the active metadata level, is important, Saibene notes.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

AUGUST 7, 2023

With data, an organization can do super powerful things with AI and machine learning, like building models that do everything from enhancing fraud detection capabilities to identifying gaps in the market for the organization to separate from the pack.

Metadata 97

Metadata Risk Software Enterprise 97

CIO Business Intelligence

FEBRUARY 14, 2024

The other problem is gen AI tools and users not seeing information that should be included because the metadata tagging and sensitivity labels haven’t been correctly applied to the data. Artificial Intelligence, Budgeting, CIO, Data Governance, Data Management, Generative AI, IT Governance, IT Leadership, Machine Learning, Security

IT 143

IT Metadata Data-driven Management 143

AWS Big Data

AUGUST 15, 2023

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. This post demonstrates how to use Athena to run queries on Parquet or CSV files in a GCS bucket.

Recreation/Entertainment 91

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 91

Alation

FEBRUARY 13, 2020

A broader definition of Business Intelligence. In their Wisdom of Crowds® Data Catalog Market Study, Dresner assessed data catalog solutions from the perspective of business intelligence (BI). Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

CIO Business Intelligence

DECEMBER 16, 2022

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more.

Testing 98

Testing Metadata Data Processing Machine Learning 98

FineReport

MAY 6, 2020

Artificial Intelligence (Kecerdasan Buatan). Machine learning. Machine learning murni menekankan kepada kemampuan prediktif dan pengimplimentasian algoritma tetapi statistik menekankan kepada tingkat penginterpretasiannya. Machine Learning. Machine learning adalah satu cabang artificial intelligence.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

CIO Business Intelligence

SEPTEMBER 18, 2023

Verizon implemented machine learning models within Network Alpha Factory to automate certain aspects of the migration, such as building out network discovery metadata, and plans to incorporate more AI in the platform in the future, Verizon executives said.

Data mining 111

Data mining Testing Metadata Enterprise 111

Alation

JUNE 16, 2021

business intelligence) solution. A central theme to this report is enabling business intelligence, defined as “knowledge gained through the access and analysis of business information.” The report shows vendors with the strongest (or most complete) capabilities. Key Takeaways. We’re in good company!

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. It constitutes components like metadata management, data quality, lineage, masking, and stewardship, which are required for organized maintenance of the data hub.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

CIO Business Intelligence

DECEMBER 4, 2023

The ways modern data is used, processed, and analyzed are continuously evolving as machine learning technology becomes better at these tasks. With constant advances in intelligent document processing, compute power, DevOps workflows, and AI, the content, context, and value of unstructured data is rapidly increasing.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website.

Slice and Dice 84

Slice and Dice Dashboards Analytics Interactive 84

CIO Business Intelligence

APRIL 29, 2022

Software development, once solely the domain of human programmers, is now increasingly the by-product of data being carefully selected, ingested, and analysed by machine learning (ML) systems in a recurrent cycle. The shift away from ‘Software 1.0’ where applications have been based on hard-coded rules has begun and the ‘Software 2.0’

Data Governance 145

Data Governance IT Risk Data Lake 145

CIO Business Intelligence

MARCH 29, 2022

For example, AI and machine learning projects offer great potential value, but they are speculative. Lack of annotation with the right metadata is a contributing factor. Another is poor communication between projects or business units. You lose that add-on value when you throw data away. . You have data but don’t use it.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework? Your framework should include the following: Global metadata: applies to all information.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Consideration of both data & metadata in the migration. All rights reserved.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. We keep feeding the monster data.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

JUNE 23, 2022

We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures. Integration, metadata and governance capabilities glue the individual components together.” .

IT 97

IT Data Architecture Unstructured Data Big Data 97

Jet Global

JULY 2, 2019

And using Azure’s built-in U-SQL library allows businesses allows you to write code once and have it automatically parallelized for the scale you need, whether in.NET languages, R, or Python. At the very worst, data lakes can provide a wealth of data that is impossible to analyze in a meaningful way due to incorrect metadata or cataloging.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

JUNE 6, 2023

A European Multinational Insurance company deployed CDP both on-prem and on Azure public cloud with Cloudera Data Science Workbench (CDSW) and Cloudera Machine Learning (CML). That means security, governance, and metadata. It’s clear that we need to use the cloud more smartly. But here’s the thing.

Insurance 52

Insurance Metadata Data Processing Machine Learning 52