CIO Business Intelligence

NOVEMBER 8, 2023

In many cases, organizations adopt legacy network security solutions and architectures to secure these cloud workloads that often fail to provide complete security coverage. Learn more To learn more about how Zscaler can secure your workloads, please register for our upcoming event.

Cost-Benefit 135

Cost-Benefit Risk Digital Transformation Reporting 135

Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. Specifically, I explore the challenges of complexity , scale , explainability , and trust.

Enterprise 59

Enterprise Management Metadata Modeling 59

Ontotext

JULY 13, 2023

Business applications are meant to help organizations. Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. Use cases for knowledge graph technologies are diverse.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Ontotext

APRIL 10, 2024

Teams can’t access data to build their business use cases. Data duplication and data copying across business silos, and prevent organizations from linking this data across different systems to get an integrated view. For example, a product data tag is basic metadata. Product tags have barcodes, with numbers and symbols.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Cloudera

JUNE 26, 2023

That depends on the business use case, use case complexity, workflow complexity, and whether batch or streaming data is required. Le Service à Trois HBase + Phoenix + SOLr is a great combination for any analytical use case that goes against operational/transactional datasets.

Testing 76

Testing Data Processing Visualization Data Science 76

Ontotext

JULY 6, 2023

These include information about companies, industries (from business classifications such as NAICS, GICS), assets, people and locations. Adding signals from unstructured content Now we want to enrich this data with signals from unstructured content – in this case, news articles. The solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

IBM Big Data Hub

DECEMBER 19, 2023

Given enterprise complexity, the most difficult part of this stage is the automation of testing capabilities (wherein test data preparation and execution of test cases across multiple systems is mostly semi-automated). This helps adoption and acceleration.

Testing 82

Testing Enterprise Modeling Software 82

datapine

SEPTEMBER 29, 2022

7) Data Quality Control: Use Case. However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. million to American businesses each year (not counting businesses in every other country of the world). 2) Why Do You Need DQM? 3) The 5 Pillars of DQM.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

SEPTEMBER 29, 2023

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. noun, verb, adjective, etc.),

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

Ontotext

MARCH 19, 2021

In this case, the packaging not only identifies what the product is and what it is made of, but goes even further to enhance how the cleaning liquid is used through the spray bottle technology. For example, consider formatting tags. Doing Business By Getting Metadata Right. Take for example spray glass cleaners.

Metadata 124

Metadata Enterprise Publishing Management 124

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. The company has previously created a business unit tenant in CDP Public Cloud. Assumptions.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But the question for those of us in business is what are the best business uses? Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Cloudera

DECEMBER 11, 2020

Consider for a moment, just how much 2020 brought about for businesses to deal with. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full? GDPR, CCPA, HIPAA.)

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

IBM Big Data Hub

JANUARY 24, 2024

Both options have pros and cons, and the best choice depends on your current and future business needs. Regulated cloud costs Too often, organizations overprovision resources in case there’s a spike in demand to make sure their applications perform. Migrating to the cloud versus a data center refresh is a complex decision.

Strategy 66

Strategy Data Processing Optimization Software 66

datapine

AUGUST 19, 2020

At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value. That said, It’s extremely important setting up and tracking the inventory KPIs for your business is in order to evaluate and improve your performance.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

erwin

AUGUST 6, 2020

Data is now being used to support business decisions few executives thought they’d be making even six months ago. Can you develop and circulate ideas that will help the business move forward? It also provides a business glossary for the collaborative definition of enterprise data in business terms.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Cloudera

JUNE 27, 2023

Reducing cost with modern data architecture A recent report from McKinsey says that “Telcos’ success hinges on leveraging data and deploying advanced analytics, AI, and automation at scale to drive new growth and change the broader economics of the business.” Offload data from legacy, on-premises analytic platforms and appliances.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

IBM Big Data Hub

OCTOBER 16, 2023

Customer service use cases Not only can ML understand what customers are saying, but it also understands their tone and can direct them to appropriate customer service agents for customer support. Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Ontotext

NOVEMBER 28, 2023

User needs The first few months of VIGILANT were packed with numerous workshops to establish the PAs’ needs and use cases as well as the ethical framework of the project. It was also busy sharing findings. The project has come a long way since then, so let’s take a look at some highlights as well as Ontotext’s involvement.

Modeling 59

Modeling Reporting IT 59

Cloudera

DECEMBER 7, 2020

This blog is a first in a series that will examine the pillars and the successful customer case studies that have resulted. Marketing Attribution & Spend Effectiveness —Tag interactions that drive desired behaviors while evaluating media spend to allocate dollars to most productive efforts.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

AWS Big Data

MAY 4, 2023

Business and technical challenge Encored is expanding their business into multiple countries to provide power trading services for end customers. To meet the growing requirements of the business, the data science and platform team needed to speed up the process of delivering model outputs. northeast-2.amazonaws.com

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

IBM Big Data Hub

AUGUST 16, 2023

It is poised to transform businesses and industries, revolutionize how employees and other stakeholders collaborate, and drive digital transformation initiatives. In addition, companies can run up cloud costs because they provision more resources than necessary for their normal business functions.

Cost-Benefit 69

Cost-Benefit Data Processing Optimization Software 69

Cloudera

AUGUST 18, 2021

ML models powering AI use cases are becoming more and more ubiquitous in a variety of environments, especially at industrial organizations adopting Industry 4.0 It makes more sense to analyze and derive insights from it, and then place it in the data lake — properly tagged for easy access later. technologies.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Alation

FEBRUARY 13, 2020

Search metadata supports tagging and keywords to help people find data. I’ll dive deeper into catalog metadata in an upcoming blog. Use of AI and machine learning for metadata collection, semantic inference, and tagging, is important to get maximum value from automation and minimize manual effort. Subscribe to Alation's Blog.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. A key trend is the adoption of multiple models in production. What are the types of AGI?

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

IBM Big Data Hub

MAY 9, 2022

We’ve identified four of the top use cases for the data fabric below along with a brief overview and links to a more in-depth eBook and trial. These use cases provide a foundation that delivers a rich and intuitive data shopping experience. 3] IBM Institute for Business Value, “Find your essential,” February 2021 [link].

Management 57

Management Data Quality Metadata Data Integration 57

Smart Data Collective

MARCH 23, 2022

Artificial intelligence has become a very important component of modern business practices. As the EEOC starts cracking down on companies with websites that violate the ADA, more businesses are using AI to make sure their websites are compliant. The eCommerce business is a numbers game. What is ADA Compliance?

Cost-Benefit 99

Cost-Benefit Data mining Sales Testing 99

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. Common use cases for active metadata management. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Ontotext

FEBRUARY 14, 2024

One such example is the tagging behind News On the Web. Use Cases CEEL holds immense potential for various use cases across industries. In the Business Intelligence sector , it can streamline information extraction from large-scale datasets such as RSS feeds.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

Ontotext

MAY 26, 2021

But following the real-world business logic, if we have Microsoft and LinkedIn in both data sources, it follows that these two records refer to the same transaction and so they should be merged into one. Here, we see that the first source doesn’t specify the sum and the second has no mention of the date.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. It helps engineers, analysts and businesses access the most up-to-date release of the software asset that bring accuracy to the decision-making process. To help address its clients’ growing cloud needs, Huron is an AWS Partner.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

NOVEMBER 10, 2021

For big data platforms like Cloudera’s stack that are used by multiple business units with many users, upgrading even minor versions must be a well-planned activity to reduce the impact to users and business. This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP.

Data Lake 75

Data Lake Management Metadata Modeling 75

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. These attributes are called LF-tags.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

AWS Big Data

JUNE 6, 2023

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. SumUp is a leading global financial technology company driven by the purpose of leveling the playing field for small businesses. Business context At SumUp we use GA and Firebase as our digital analytics solutions and AWS as our main Cloud Provider.

Analytics 55

Analytics Data Lake Testing Optimization 55

erwin

AUGUST 15, 2022

This blog is based upon a recent webcast that can be viewed here. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Moreover, this blog will provide readers with a firm foundation for NoSQL and data lakes as they move to the cloud.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52