Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The post Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts appeared first on Cloudera Blog.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Cloudera

JUNE 27, 2023

This is no less crucial today, as telcos balance the needs to cut costs and improve efficiencies while delivering innovative products and services. Appliance-based models are usually significantly more expensive than disaggregated solutions. 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

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 94

Cost-Benefit Modeling Manufacturing Interactive 94

erwin

MAY 14, 2020

Free eBook: Enterprise Architecture & Innovation Management. A thorough approach to this requires input from the wider business and an enterprise architecture Kanban board can do just that. Following are some examples of Kanban boards: Innovation Management : Provides a journey through innovation management.

Enterprise 93

Enterprise Visualization Manufacturing ROI 93

IBM Big Data Hub

OCTOBER 16, 2023

Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites. Businesses use ML to monitor social media and other activity for customer responses and reviews. Reinforcement learning uses ML to train models to identify and respond to cyberattacks and detect intrusions.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Laminar Security

DECEMBER 13, 2023

This is where artificial intelligence (AI) steps in, offering innovative solutions to enhance these processes. ML, a subset of AI, involves training models on existing data sets so they can make predictions or decisions without being explicitly programmed to do so. It helps in determining what data you have and its sensitivity.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

IBM Big Data Hub

FEBRUARY 14, 2024

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. They can also help businesses predict future events and understand why past events occurred. We’re all amazed by what AI can do.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

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. This data-centric approach is delivering the following business capabilities: Customer Identification —Develop processes to identify customers and visitors across channels (store, web, mobile, social, paid search, etc.).

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

Ontotext

NOVEMBER 28, 2023

It was also busy sharing findings. Ontotext is responsible for designing a harmonized data model that allows for integration of data not just from the current sources of interest, but also future ones. Similarly, the data model has to support multiple modalities, including text, audio, image, video, etc.

Modeling 59

Modeling Reporting IT 59

erwin

JANUARY 7, 2021

As businesses migrate from legacy systems to the cloud, data governance and data intelligence will become increasingly relevant to the C-suite and tools to automate and expedite the process will take center stage. This year, that will change as semantic metadata comes into its own driven by Microsoft’s Common Data Model (CDM).

Metadata 98

Metadata Data Governance Internet of Things IoT 98

datapine

SEPTEMBER 29, 2022

However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. With a shocking 2.5

Data Quality 241

Data Quality Metrics Data-driven Management 241

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. For example, the volume of data required for training one of the ML models is more than 200 TB. The first step was to convert GRIB to the Parquet file format. northeast-2.amazonaws.com

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

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. This flexibility and efficiency give you the balance needed to meet ever-changing business demands. It has the potential to stifle innovation, and cost-effectiveness in both the data center and in the cloud.

Strategy 65

Strategy Data Processing Optimization Software 65

Cloudera

SEPTEMBER 7, 2018

Early detection is critical to prevent considerable damage arising out of insider threats to the business. This conventional approach also employs a Relational Database Management System (RDBMS) technology, which, however, falls short in meeting current business demands for scalable, flexible and cost-efficient solutions to insider threat.

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

erwin

DECEMBER 12, 2019

Faster Speed to Insights: Reverse the current 80/20 rule that keeps high-paid knowledge workers too busy finding, understanding and resolving errors or inconsistencies to actually analyze source data. Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.,

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Cloudera

JANUARY 30, 2019

Build and execute model training runs in isolation and deploy models directly from source as REST APIs, tracking performance and any user-specified artifacts to easily rollback to old versions. and first DataPlane application Data Lifecycle Manager from concept to business case to release.

Data Science 73

Data Science Machine Learning Experimentation Cost-Benefit 73

erwin

MAY 18, 2022

All data quality scoring is then visibly shared throughout erwin Data Intelligence alongside data catalog metadata, in data lineage, impact analysis, mind maps and inside asset search results for business users. Data quality integration with erwin Data Intelligence will be a game changer for IT, data governance teams and business users alike.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Ontotext

NOVEMBER 22, 2020

You want to start at the very tip of the universe’s innovation. As engineers we can sometimes get lost in the details of the implementation, the architecture, the construction, and we can lose sight of the business need that necessitated the development project in the first place. Business-User Friendly, Too.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

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

DECEMBER 12, 2019

Faster Speed to Insights: Reverse the current 80/20 rule that keeps high-paid knowledge workers too busy finding, understanding and resolving errors or inconsistencies to actually analyze source data. Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.,

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Occam's Razor

MAY 5, 2016

Technical how-to implement enhanced code guidance (Google Tag Manager or direct). Consider the See-Think-Do-Care business framework, discern the intent of your audience and ensure that you ad content, ad targeting and ad landing page are aligned with your audience's intent. You see different models people use to make money there.

Metrics 103

Metrics Reporting Analytics Advertising 103

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. End users access this data using third-party SQL clients and business intelligence tools. Other organizations (e.g.,

Data Lake 95

Data Lake Data Warehouse Management Risk 95

Occam's Razor

AUGUST 22, 2011

Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. Blogging Experience Articles. + Key To Your Digital Success: Web Analytics Measurement Model. Find people?"

KPI 124

KPI Metrics Measurement ROI 124

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

SEPTEMBER 29, 2023

The following screenshot shows an example of an XML file with tags. Enter a name for the classifier, such as blog-glue-xml-contact. Enter a name for the classifier, such as blog-glue-xml-contact. For Row tag , enter the name of the root tag that contains the metadata (for example, metadata ). Choose Add classifier.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. This recommendation also valuable for companies that have very unique business models, or face other unusual circumstances (geographic, size, amount of innovation, and many others). See Page 269. :). So how can you use your own data?

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Cloudera

NOVEMBER 19, 2020

Some of these algorithms can be adaptive to quickly update the model to take into account new, previously unseen fraud tactics allowing for dynamic rule adjustment. This type of framework requires a streaming environment that provides continuous updates coupled with model performance monitoring to ensure consistent performance. .

Machine Learning 116

Machine Learning Data-driven Modeling Deep Learning 116

IBM Big Data Hub

SEPTEMBER 13, 2023

Yet as supply chain innovators, we know there is a rich history of applying technologies to continuously optimize operations. Far from eliminating human value, it will elevate the role of our people and empower them to run the business on a predictive, proactive and forward-looking basis.

Visualization 73

Visualization Unstructured Data Interactive Technology 73

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. The star schema is a popular data model for building data marts. In a star schema data model, the central fact table is dependent on the surrounding dimension tables.

Slice and Dice 78

Slice and Dice Data Warehouse Metrics Metadata 78

Occam's Razor

DECEMBER 12, 2016

And, as if unlimited is not enough, nearly every month your analytics vendors release new features, you discover new analytics solutions, and as your business is more successful (hurray!) How do you ensure that your can zig-zag with business strategy? What guarantees that agility and innovation are present in your analytics practice?

Analytics 141

Analytics Data-driven Strategy Consulting 141

IBM Big Data Hub

SEPTEMBER 12, 2022

In August the Federal Trade Commission (FTC) released an Advance Notice of Proposed Rulemaking (ANPRM) titled Commercial Surveillance and Data Security that encompasses a wide range of data protection and privacy issues, including data monetization models, discrimination and algorithmic biases and data security, to name a few.

Metadata 97

Metadata Data Governance Enterprise Data Architecture 97

IBM Big Data Hub

JANUARY 17, 2023

Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. How do business leaders navigate this new data and AI ecosystem and make their company a data-driven organization? Data governance.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Occam's Razor

JANUARY 4, 2022

This blog post was originally published as an edition of my newsletter TMAI Premium. Disclosure: I profoundly dislike ROAS — even hate it — for, among other reasons, driving a disproportionate amount of obsession with ONLY Paid Media by CMOs when Paid Media typically delivers a minority of the incremental business revenue.

KPI 127

KPI Advertising Metrics Measurement 127

Occam's Razor

JUNE 8, 2006

This blog post is an attempt to answer all those questions wrapped into one. If you do a View Source you’ll see that this blog is measured using MapSurface, Google Analytics, ClickTracks and AnalogX (so tagging and web logs and real time data and a paid and free tool, great for learning). #

KPI 94

KPI Measurement Statistics Metrics 94

Andrew White

MARCH 21, 2022

The tag line is: The world needs a new system of governance for the buying and selling of data. See previous blog China Does More for Your Data Strategy than US or Europe for more ideas. Data here includes data, content, digital, files, images, analytics, models. The article is very timely for a number of reasons. applications).

Data Strategy 105

Data Strategy Strategy Measurement Marketing 105

Sisense

AUGUST 6, 2020

AI and machine learning (ML) are not just catchy buzzwords; they’re vital to the future of our planet and your business. What are the business consequences? Getting this AI properly trained required a huge learning dataset with countless documents that were tagged according to specific criteria. The perfect fit.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage). Metadata Answers Key Questions.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110