IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Establish a data governance framework to manage data effectively.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. ” Examples of AI bias from real life provide organizations with useful insights on how to identify and address bias. .”

Advertising 76

Advertising Machine Learning Data Architecture Cost-Benefit 76

Ontotext

NOVEMBER 22, 2020

Discoverability, Insights and Decision-Making. Data and content are organized in a way that facilitates discoverability, insights and decision making rather than be bound by limitations of data formats and legacy systems. The aspiration behind Ontotext Platform 3.3 Developer-Friendly Semantic Technology.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

CIO Business Intelligence

JULY 14, 2023

CIOs want to take advantage of this but on their terms—and their own data. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

FEBRUARY 8, 2022

The “data textile” wars continue! In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. Data as a product. But why is such an inversion needed?

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52

Jet Global

FEBRUARY 6, 2024

The landscape of business intelligence (BI) is undergoing a metamorphosis, demanding solutions that transcend static reports and siloed data. where insights become immersive experiences woven into the very fabric of your operations. where insights become immersive experiences woven into the very fabric of your operations.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Cloudera

JANUARY 17, 2021

Platforms that connected, aligned and streamlined workloads enabled and powered this shift. The data spun off its business is remarkable allowing advanced analytics use cases such as: Business Category. Data Sources, Enabling Technologies and Infrastructure. Insight provided to . The Need for a Modern Data Architecture.

Digital Transformation 64

Digital Transformation Cost-Benefit Manufacturing Sales 64

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. Data pipeline orchestration.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Occam's Razor

JANUARY 8, 2018

Like me, I'm sure you are working on complex challenges when it comes to data. Multi-petabyte data warehouses. "Leah" seemed unfamiliar with the Condé Nast platform. I click on “Size & Fit Guide,” in case it specifies something for these pants. I get the generic guide. Media mix modeling.

Sales 133

Sales Predictive Analytics Insurance Data Warehouse 133

Ontotext

AUGUST 4, 2023

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

CIO Business Intelligence

APRIL 27, 2022

As a technology company you can imagine how easy it is to think of data-first modernization as a technology challenge. Data fabric, data cleansing and tagging, data models, containers, inference at the edge – cloud-enabled platforms are all “go-to” conversation points. The Platforms Agenda.

Strategy 143

Strategy Data-driven Internet of Things Measurement 143

CIO Business Intelligence

FEBRUARY 3, 2023

Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. Many RPA platforms offer computer vision and machine learning tools that can guide the older code.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

DECEMBER 4, 2019

Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

IBM Big Data Hub

JUNE 8, 2023

Data is the lifeblood of successful organizations. Beyond the traditional data roles—data engineers, analysts, architects—decision-makers across an organization need flexible, self-service access to data-driven insights accelerated by artificial intelligence (AI). But most businesses are behind.

Business Intelligence 67

Business Intelligence Enterprise Dashboards Digital Transformation 67