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. Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces.

Advertising 78

Advertising Machine Learning Data Architecture Cost-Benefit 78

Cloudera

NOVEMBER 19, 2018

My inspiration for writing this blog was a recent trip to a warehouse and distribution center of a well-known U.S. in Food Science), knowledge, and experience reflect the company’s commitment to product safety and quality. fast-food enterprise with a reputation for superior quality.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

Rita Sallam

JULY 22, 2016

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Cloudera

AUGUST 30, 2018

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. Cloud service architecture – storing and accessing data and services over the Internet instead of your data center or local computer’s hard drive.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. We could argue that this reflects a lack of imagination—but that’s not only ungracious, it also presumes that applying AI everywhere without careful thought is a good idea. Many AI adopters are still in the early stages.

Enterprise 271

Enterprise Modeling Testing Reporting 271

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

JULY 11, 2022

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Cloudera data fabric and analyst acclaim. Data fabrics are one of the more mature modern data architectures. As a result, it’s getting ??progressively

Data Architecture 103

Data Architecture Data-driven Cost-Benefit Data Warehouse 103

IBM Big Data Hub

SEPTEMBER 7, 2023

But AI today is an incredibly dynamic field, and AI platforms must reflect that dynamism, incorporating the latest advances to meet the demands of today and tomorrow. This is why we at IBM continue to add powerful new capabilities to IBM watsonx , our data and AI platform for business.

Modeling 107

Modeling Risk Unstructured Data Enterprise 107

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? It is known to have benefits in handling data due to its robustness, speed, and scalability.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Ontotext

DECEMBER 9, 2020

Stop wasting time building data access code manually, let the Ontotext Platform auto-generate a fast, flexible, and scalable GraphQL APIs over your RDF knowledge graph. Let the platform handle the boring grunt work so that you can get on with rocket science. If so, STOP and give Ontotext platform a try.

Modeling 130

Modeling Management Optimization Metrics 130

Cloudera

MARCH 19, 2019

Do you view outsourcing to cheaper labor markets as a key strategy to achieving competitiveness? It represents a shift in thinking about competing in an existing market space (red ocean) to thinking about finding, developing, exploiting, and protecting a new market space (blue ocean). The “Blue Ocean” alternative.

Strategy 45

Strategy Cost-Benefit Risk Marketing 45

O'Reilly on Data

MARCH 23, 2023

But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means. Unlike labels, embeddings are learned from the training data, not produced by humans.

IT 262

IT Modeling Testing Risk 262

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Cloudera

OCTOBER 3, 2018

Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

datapine

SEPTEMBER 4, 2023

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? 4) Static vs. Animated Data Visualization Data is the new oil? No, data is the new soil.” ” – David McCandless Humans are visual creatures.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Alation

APRIL 2, 2021

Three new case studies from Alation have exciting implications for the world of data management. The Time Is on My Side case studies examine major pain points for data-centric enterprises. The Alation platform saves many hours of time and effort, according to study findings. People querying data can just work in this one place.

Measurement 52

Measurement Metadata Data Science Machine Learning 52

IBM Big Data Hub

JANUARY 9, 2024

These applications are designed to meet specific business needs by integrating proprietary data and help to ensure more accurate and relevant responses. For example, a global retail chain might adopt region-specific AI models that are trained on data, such as customer preferences and cultural nuances.

Data-driven 112

Data-driven Risk Modeling Marketing 112

datapine

DECEMBER 4, 2019

Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. The accuracy of the predictions depends on the data used to create the model.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Alation

OCTOBER 12, 2021

What new market opportunities exist? Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Data engineering.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Occam's Razor

OCTOBER 12, 2017

Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. The first two are from editions of my newsletter, The Marketing – Analytics Intersect (it goes out weekly, and is now my primary publishing channel, sign up!). Years and years of practice with R or "Big Data."

Marketing 136

Marketing Analytics Machine Learning Strategy 136