Jet Global

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Here we explore these benefits in more detail.

Management 52

Management Sales Publishing Data Quality 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. Hidden patterns in your data are illuminated in real-time, fostering intuitive, interactive exploration that unlocks the true narrative within your numbers. Gone are the days of cumbersome BI 1.0

Dashboards 52

Dashboards Visualization Data-driven Reporting 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. 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 78

Risk Modeling Management Metadata 78

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. The Global BPO Business Analytics Market was worth nearly $17 billion last year.

Business Analytics 112

Business Analytics Analytics Data Quality Big Data 112

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

MAY 17, 2022

If the CIO’s security team has the right threat intelligence on the adversary at their fingertips and can correlate that information with telemetry data from their environment, they can answer questions that help determine their risk and which mitigating actions should be taken, including: How are they impacted? What’s the risk right now?

Risk 91

Risk Strategy Marketing Machine Learning 91

CDW Research Hub

APRIL 17, 2019

Splunk recently released a security eBook to help companies understand the challenges and action steps to a security program that utilizes data to stay ahead of attacks. Here is a breakdown of the suggested six stages of the Analytics-Driven Security Journey, so you can get started on your voyage. Stage 4: Enrichment.

Analytics 40

Analytics Data-driven Machine Learning Metadata 40

Ontotext

MAY 5, 2023

Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) These two key data elements are used in approximately 80% of the use cases in the sector. Ontologies can be applied to collections of facts to create knowledge graphs. and product (What?).

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Compared to legacy Apache HBase or Phoenix implementations, COD has been architected to enable organizations optimize infrastructure costs, streamline application development lifecycle and accelerate time to value.

Cost-Benefit 93

Cost-Benefit Optimization Risk Management 93

AWS Big Data

JANUARY 25, 2023

SikSin confronted two business challenges: Customer engagement – SikSin maintains data on more than 750,000 restaurants and has more than 4,000 restaurant articles (and growing). Data analysis activities – The SikSin Food Service team experienced difficulties in regards to report generation due to scattered data across multiple systems.

Visualization 73

Visualization Interactive Modeling Machine Learning 73

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Cloudera

SEPTEMBER 15, 2023

The world is awash with data, no more so than in the telecommunications (telco) industry. With some Cloudera customers ingesting multiple petabytes of data every single day — that’s multiple thousands of terabytes! Access and the exchange of data is critical for managing the operations in many industries.

Strategy 78

Strategy Advertising IoT B2B 78

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

Machine Learning 116

Machine Learning Data-driven Modeling Deep Learning 116

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80