Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

AWS Big Data

APRIL 18, 2024

This is a guest blog post co-authored with Atul Khare and Bhupender Panwar from Salesforce. is a cloud-based customer relationship management (CRM) software company building artificial intelligence (AI)-powered business applications that allow businesses to connect with their customers in new and personalized ways.

Optimization 86

Optimization Data Lake Management Key Performance Indicator 86

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. Why FinOps?

Analytics 77

Analytics Cost-Benefit ROI Business Objectives 77

AWS Big Data

SEPTEMBER 19, 2023

It was designed to manage complex queries and business intelligence (BI) use cases on a large scale. However, with a minimum data freshness of 10 minutes, this architecture inherently didn’t align with the near real-time fraud detection use case. This simplified the onboarding process and accelerated the implementation phase.

Analytics 78

Analytics Risk Big Data Machine Learning 78

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

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 84

Testing Enterprise Modeling Software 84

AWS Big Data

MARCH 9, 2023

Organizations create data marts , which are subsets of the data warehouse and usually oriented for gaining analytical insights specific to a business unit or team. Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands.

Slice and Dice 79

Slice and Dice Data Warehouse Metrics Metadata 79

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

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. It also enables business teams to have their data at their fingertips and have a uniform view of it.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

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

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 60

Data mining Machine Learning Deep Learning Marketing 60

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

AWS Big Data

JANUARY 22, 2024

Acast found itself with diverse business units and a vast amount of data generated across the organization. A key objective was to enhance the end-to-end user experience, starting from the business needs. As per the Inverse Conway Maneuver , Acast’s technology architecture displays isomorphism with the business architecture.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

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

AWS Big Data

MARCH 21, 2024

Challenges Customers across industries today are looking to use data to their competitive advantage and increase revenue and customer engagement by implementing near real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. Configure the required permissions. Choose Create database.

Data Warehouse 86

Data Warehouse Metrics Statistics Optimization 86

AWS Big Data

SEPTEMBER 26, 2023

These services allow querying Lake Formation managed tables, thus helping you extract business insights from the data quickly and securely. Also, various use cases operate on the data lakes. Migrating all use cases from one permissions model to another in a single step without disruption was challenging for operations teams.

Data Lake 67

Data Lake Metadata Management Modeling 67

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

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 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

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

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 90

Cost-Benefit Insurance Unstructured Data Machine Learning 90

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 68

Strategy Data Processing Optimization Software 68

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

AWS Big Data

NOVEMBER 22, 2023

One typical use case is to register Hudi tables, which does not have catalog table definition. Another typical use case is migration from other Hudi catalogs, such as Hive metastore. For LF tags or catalog resources , choose Named data catalog resources. For LF tags or catalog resources , choose Named data catalog resources.

Data Lake 92

Data Lake Snapshot Metadata Optimization 92

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

Ontotext

FEBRUARY 16, 2023

You can read more about it in this blog post. It can often be seen as more practical to have a single expert go through the documents and establish what they deem “good enough” to satisfy the requirements of a specific use case. The approach depends on the price-to-quality ratio sought after in each particular case.

Metadata 59

Metadata Measurement Metrics Modeling 59

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

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

AWS Big Data

OCTOBER 5, 2023

With Amazon AppFlow, you can run data flows at nearly any scale at the frequency you choose—on a schedule, in response to a business event, or on demand. Walkthrough of the design Now, let’s walk through a practical use case to see how the Amazon AppFlow Google BigQuery to Amazon S3 connector works. Choose Create new connection.

Data Warehouse 85

Data Warehouse Machine Learning Data Integration Data-driven 85

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

Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. It also helps capture and connect data based on business or domains. Often vendors embellish data catalogs and sell them with a data fabric moniker.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

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

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 70

Cost-Benefit Data Processing Optimization Software 70

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