O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. A drill-down into data, AI, and ML topics.

Data-driven 363

Data-driven Software Statistics Marketing 363

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 350

Enterprise Deep Learning Data Governance Risk 350

O'Reilly on Data

OCTOBER 17, 2023

Anant Agarwal, an MIT professor and of the founders of the EdX educational platform, recently created a stir by saying that prompt engineering was the most important skill you could learn. But before discussing why, it’s important to think about what prompt engineering means. And that you could learn the basics in two hours.

Interactive 342

Interactive Software Testing IT 342

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. However, it also offers additional optimizations that you can use to further improve this performance and achieve even faster query response times from your data warehouse.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105

O'Reilly on Data

SEPTEMBER 15, 2020

Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g., When transitioning to developing a bigger AI vision and strategy, we may create a prioritized product roadmap consisting of a suite of recommendation engines and an AI-based personalized loyalty program, for example.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

CIO Business Intelligence

APRIL 9, 2025

Broadcom and Google Clouds continued commitment to solving our customers most pressing challenges stems from our joint goal to enable every organizations ability to digitally transform through data-powered innovation with the highly secure and cyber-resilient infrastructure, platform, industry solutions and expertise.

IT 99

IT Snapshot Digital Transformation Measurement 99

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. You should still get the book because it is a fantastic 250-page masterpiece for data scientists!) How does one express “context” in a data model? It’s all here.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 304

Testing Machine Learning Consulting Data Science 304

CIO Business Intelligence

JANUARY 9, 2025

These required specialized roles and teams to collect domain-specific data, prepare features, label data, retrain and manage the entire lifecycle of a model. Companies can enrich these versatile tools with their own data using the RAG (retrieval-augmented generation) architecture. An LLM can do that too.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

O'Reilly on Data

JUNE 19, 2019

Quality depends not just on code, but also on data, tuning, regular updates, and retraining. Those involved with ML usually want to experiment with new libraries, algorithms, and data sources—and thus, one must be able to put those new components into production. Metadata and artifacts needed for a full audit trail.

Modeling 252

Modeling Machine Learning Testing Metrics 252

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. It provides a conversational interface where users can submit queries in natural language within the scope of their current data permissions. Your data is not shared across accounts.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

AWS Big Data

MAY 20, 2025

Traditionally, financial data analysis could require deep SQL expertise and database knowledge. Now with Amazon Bedrock Knowledge Bases integration with structured data, you can use simple, natural language prompts to query complex financial datasets. or Give me details of all accounts for a specific customer.

Structured Data 105

Structured Data Data Warehouse Analytics Finance 105

CIO Business Intelligence

MAY 20, 2025

Allow better quality control by analyzing data from sensors, inspecting products in real-time, and reducing overall human error in the QA process. It defines when orders need to be made to order, made to stock, or engineered to order, and includes production management and bill of materials, as well as all necessary equipment and facilities.

Modeling 104

Modeling Management Metrics Measurement 104

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

AWS Big Data

DECEMBER 9, 2024

In todays data-driven world, tracking and analyzing changes over time has become essential. As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis.

Snapshot 63

Snapshot Data Warehouse Data Lake Data Quality 63

DataKitchen

AUGUST 16, 2024

2024 Gartner Market Guide To DataOps We at DataKitchen are thrilled to see the publication of the Gartner Market Guide to DataOps, a milestone in the evolution of this critical software category. At DataKitchen, we think of this is a ‘meta-orchestration’ of the code and tools acting upon the data.

Marketing 126

Marketing Data Quality Testing Metadata 126

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. This function hard codes the model’s parameters and model ID for demonstrating the basic functionality.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

CIO Business Intelligence

JANUARY 30, 2025

The hope is to have shared guidelines and harmonized rules: few rules, clear and forward-looking, says Marco Valentini, group public affairs director at Engineering, an Italian company that is a member of the AI Pact. We hope to work closely with the AI Office to achieve these goals.

Enterprise 128

Enterprise Risk Reporting Measurement 128

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Insight

MARCH 20, 2020

Designers' and engineers' creativity in exploring and developing the design space is limited by how fast they can iterate and generate new designs. The annotations were effectively a tree of parts, categories, and subparts which can easily lead to unnaturally formulaic descriptions that are specific, but too cryptic to be useful.

Interactive 143

Interactive Modeling Machine Learning Testing 143

KDnuggets

FEBRUARY 24, 2023

This article will discuss SQL visualization, its role in augmenting the modern-day data engineer, and five categories of SQL visualization tools.

Visualization 111

Visualization IT 111

CIO Business Intelligence

DECEMBER 19, 2024

These opportunities fall under the umbrella category of climate technology and involve full-time careers, part-time jobs, and volunteer opportunities. In especially high demand are IT pros with software development, data science and machine learning skills.

IT 52

IT IoT Machine Learning Optimization 52

AWS Big Data

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

datapine

FEBRUARY 4, 2020

Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive. First things first – organizing and prioritizing your marketing data.

Reporting 280

Reporting Marketing Advertising Metrics 280

CIO Business Intelligence

APRIL 27, 2022

As a technology company you can imagine how easy it is to think of data-first modernization as a technology challenge. Data fabric, data cleansing and tagging, data models, containers, inference at the edge – cloud-enabled platforms are all “go-to” conversation points. and “how to do it?” and “how to do it?”,

Strategy 143

Strategy Data-driven Internet of Things Measurement 143

Smart Data Collective

APRIL 10, 2020

eCommerce AI is a data-driven trend that allows companies to manage and analyze consumer information easily. This data can also be used to identify shopper segmentation parameters. These eCommerce search engines are able to think the way humans do. Artificial intelligence is improving customer search engines on eCommerce sites.

Sales 144

Sales Visualization Marketing Software 144

CIO Business Intelligence

SEPTEMBER 29, 2023

Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more than 1000% in Q2 2023 compared to the end of 2022, and that related searches for AI saw a more than 1500% increase during the same time.

Deep Learning 143

Deep Learning Machine Learning Consulting Modeling 143

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Data and AI as digital fundamentals.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Rocket-Powered Data Science

DECEMBER 16, 2018

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. The above example (clustering) is taken from unsupervised machine learning (where there are no labels on the training data).

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

DataKitchen

JULY 12, 2023

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

Data Quality 130

Data Quality Testing Manufacturing Finance 130

AWS Big Data

OCTOBER 23, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that lets you analyze your data at scale. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. For more information, refer to Amazon Redshift clusters.

Data Warehouse 111

Data Warehouse Metrics Broadcasting Dashboards 111

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

MAY 16, 2023

But it could also draw on the detailed information SAP’s enterprise applications hold about orders and inventory, for instance, to identify which products to promote or help field service engineers optimize repairs, said Ritu Bhargava, SAP’s chief product officer for industries and customer experience. It’s not a reactive chatbot,” she said.

Sales 114

Sales Interactive Enterprise Software 114