datapine

SEPTEMBER 27, 2022

Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today. Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

datapine

NOVEMBER 27, 2019

Data exploded and became big. We all gained access to the cloud. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

NOVEMBER 27, 2024

Within seconds of transactional data being written into Amazon Aurora (a fully managed modern relational database service offering performance and high availability at scale), the data is seamlessly made available in Amazon Redshift for analytics and machine learning. or a later version) database.

Data Warehouse 104

Data Warehouse Analytics Testing Sales 104

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Learn what will enhance the SaaS infrastructure in our free cheat sheet! SaaS is taking over the cloud computing market.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. These enable customer service representatives to focus their time and attention on more high-value interactions, leading to a more cost-efficient service model. The Need for Fine Tuning Fine tuning solves these issues.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. They aren’t using analytics and AI tools in isolation. The next generation of SageMaker is set to do just that.

Data Analytics 96

Data Analytics Analytics Data Lake Data Quality 96

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight. This led to inefficiencies in data governance and access control.

Data Lake 100

Data Lake Sales Metadata Machine Learning 100

Rocket-Powered Data Science

JULY 6, 2023

These AI applications are essentially deep machine learning models that are trained on hundreds of gigabytes of text and that can provide detailed, grammatically correct, and “mostly accurate” text responses to user inputs (questions, requests, or queries, which are called prompts). Guess what? It isn’t.

Statistics 152

Statistics Deep Learning Machine Learning Enterprise 152

AWS Big Data

DECEMBER 18, 2024

In the rapidly evolving landscape of AI-powered search, organizations are looking to integrate large language models (LLMs) and embedding models with Amazon OpenSearch Service. In this blog post, well dive into the various scenarios for how Cohere Rerank 3.5

Metrics 87

Metrics Modeling Data Processing Machine Learning 87

AWS Big Data

OCTOBER 14, 2024

Amazon EMR provides a big data environment for data processing, interactive analysis, and machine learning using open source frameworks such as Apache Spark, Apache Hive, and Presto. Generative AI models can translate natural language questions into valid SQL queries, a capability known as text-to-SQL generation.

Metadata 99

Metadata Data Lake Modeling Data Warehouse 99

datapine

DECEMBER 4, 2019

The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company. The same may be true about a model for one year compared to the next year within the same company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

DataKitchen

MAY 10, 2021

Advanced firms: Experiment, learn, and continuously improve the effectiveness of your IDB applications; leverage the power of machine learning (ML) to automate apps and processes to scale your IDB capabilities even further. Blog: What is DataOps ? White Paper: Launch Your DataOps Journey with the DataOps Maturity Model.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. 73% of data practitioners do not trust their data (IDC). The challenge is not simply a technical one.

Scorecard 177

Scorecard Data Quality Measurement Testing 177

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

datapine

JANUARY 6, 2022

Exclusive Bonus Content: Download Our Free Data Analysis Guide. Explore our free guide with 5 essential tips for your own data analysis. Table of Contents. 1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. trillion gigabytes!

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

APRIL 21, 2022

Digital transformation of your business is possible when you can use emerging automation, Machine Learning (ML), and Artificial Intelligence (AI) technologies in your marketing. In other words, it means employing technology to constantly improve the whole company model, including its offerings, customer service, and operations.

Digital Transformation 206

Digital Transformation Marketing Advertising Scorecard 206

CIO Business Intelligence

AUGUST 30, 2024

Forrester, in a recent blog post , named AI agents as one of the top 10 emerging technologies for 2024, with author Brian Hopkins, vice president of the Forrester emerging tech portfolio, calling them “perhaps the most exciting development” on this year’s list.

ROI 138

ROI Recreation/Entertainment Machine Learning Interactive 138

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. Consumers have grown more and more immune to ads that aren’t targeted directly at them.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

MARCH 31, 2022

Table of Contents. 1) Why Shift To A BI Career? 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started? 4) Business Intelligence Job Roles. 5) Main Challenges Of A BI Career. 6) Main Players In The BI Industry. Does data excite, inspire, or even amaze you? The BI industry is expected to soar to a value of $26.50

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We covered different ways of measuring model efficiency and showed ways to visualize this and select models based on it.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

AWS Big Data

JULY 29, 2024

This enables more informed decision-making and innovative insights through various analytics and machine learning applications. In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient. It’s crucial for maintaining inter-operability between different engines.

Metadata 125

Metadata Snapshot Data Lake Metrics 125

erwin

DECEMBER 9, 2024

When it comes to using AI and machine learning across your organization, there are many good reasons to provide your data and analytics community with an intelligent data foundation. For instance, Large Language Models (LLMs) are known to ultimately perform better when data is structured.

Metadata 52

Metadata Data Quality Sales Modeling 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Occam's Razor

OCTOBER 24, 2016

Step 4: Standard Attribution Models. Step 5: Custom Attribution Modeling. Step 6: Data-driven Attribution Modeling. Step 7: Pan-Existence Modeling. Culture is a stronger determinant of success with data than anything else. Including data. People + Process + Structure] > [Data + Technology]. It seems hard to believe.

Metrics 147

Metrics Marketing Optimization Modeling 147

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1

Forecasting 105

Forecasting Optimization Advertising IoT 105

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. Instant reactions to fraudulent activities at banks. Improved recommendations for online transactions.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Timo Elliott

JANUARY 4, 2021

You can watch the webinar here (registration required) to learn how to conduct FP&A storytelling in order to enhance fact-based decision making. You can find a blog post version of my commentary below, and a draft video of my section: What’s new with analytics and storytelling for finance teams? And finally, agility.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

IBM Big Data Hub

MAY 1, 2023

This wave of AI is attributable to what are known as foundation models. What are foundation models? As the name suggests, foundation models can be the foundation for many kinds of AI systems. Using machine learning techniques, these models apply information learned about one situation to another situation.

Modeling 93

Modeling Risk Machine Learning Technology 93

Smart Data Collective

MAY 1, 2022

Multiple emails, social media posts, blogs, articles, and other text forms are generated daily. Text analysis , or text mining, is a machine—learning technique that can extract valuable data from large amounts of unstructured text. Artificial intelligence is often portrayed as a technology that will make robots rule over humans.

Unstructured Data 132

Unstructured Data Cost-Benefit Machine Learning Marketing 132

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

CIO Business Intelligence

MARCH 19, 2024

GenAI: An Experiment Practical evidence from researchers and analysts remains scant, but LinkedIn is full of posts about LLM (Large Language Model) prompting experiments and best practices. So much digital ink has been spilled regarding how generative AI is a first-class productivity booster. But what does a productivity boost look like?

Marketing 108

Marketing Software Interactive Enterprise 108

Cloudera

AUGUST 30, 2022

This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Cloudera refers to this as universal data distribution, as explored further in this blog post. Cloudera refers to this as universal data distribution, as explored further in this blog post.

Strategy 107

Strategy Data Strategy Cost-Benefit ROI 107

datapine

NOVEMBER 13, 2019

It doesn’t matter how innovative your brand is or how groundbreaking your business model might be; if your business is ridden with glaring inefficiencies, your potential for growth is eventually going to get stunted. Download our guide to find out about the power of procurement reports! What Are Procurement Reports?

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Automate tedious, repetitive tasks.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

It also owns Google’s internal time series forecasting platform described in an earlier blog post. It also owns Google’s internal time series forecasting platform described in an earlier blog post. Our team does a lot of forecasting. I am sometimes asked whether there should be any role at all for "humans-in-the-loop” in forecasting.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

Cloudera

SEPTEMBER 26, 2024

AMPs are fully built out ML prototypes that can be deployed with a single click directly from Cloudera Machine Learning. By providing pre-built workflows, best practices, and integration with enterprise-grade tools, AMPs eliminate much of the complexity involved in building and deploying machine learning models.

Machine Learning 77

Machine Learning Structured Data Optimization Enterprise 77

DataKitchen

MAY 10, 2021

When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal and family time. Data errors also affect careers. Data sources must deliver error-free data on time.

Testing 214

Testing Manufacturing Data Quality Statistics 214