O'Reilly on Data

JUNE 19, 2019

Finally, modeling tools are improving, and automation is beginning to allow new users to tackle problems that used to be the province of experts. These ML development tools are designed specifically to help teams of developers, machine learning engineers , and data scientists collaborate, manage, and reproduce , ML experiments.

Modeling 258

Modeling Machine Learning Testing Metrics 258

AWS Big Data

OCTOBER 30, 2024

Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. This post shows you how to build automatic file ingestion pipelines in Amazon Redshift when source files are located on Amazon S3 by using a simple SQL command.

Data Warehouse 110

Data Warehouse Sales Data Lake Recreation/Entertainment 110

CIO Business Intelligence

NOVEMBER 19, 2024

You pull an open-source large language model (LLM) to train on your corporate data so that the marketing team can build better assets, and the customer service team can provide customer-facing chatbots. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

Management 116

Management Unstructured Data Deep Learning Metadata 116

DataKitchen

AUGUST 27, 2021

A solid ramp in initial interest puts a new medicine on a trajectory to meet its lifetime sales targets. A solid ramp in initial interest puts a new medicine on a trajectory to meet its lifetime sales targets. This analytics function is so crucial to product success that the data team often reports directly into sales and marketing.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. .

Testing 300

Testing Machine Learning Consulting Data Science 300

datapine

NOVEMBER 27, 2019

Share the essential business intelligence trends among your team! It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. Data exploded and became big. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JANUARY 7, 2025

The ability of cloud infrastructure to adapt, scale and be malleable to meet business needs right where they are and then enable them to expand makes it the default choice. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.

Optimization 98

Optimization Strategy Cost-Benefit Enterprise 98

Cloudera

NOVEMBER 13, 2024

Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. LLMs deployed as code assistants accelerate developer efficiency within an organization, ensuring that code meets standards and coding best practices. Increase Productivity.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

datapine

APRIL 2, 2019

In this post, we will explain what is a KPI scorecard, when to use it, what is the difference between scorecard and dashboard, and KPI scorecard examples and templates from business scenarios that can be applied to different departments and organizations or used as a roadmap for online data analysis. Traditional scorecard.

Scorecard 226

Scorecard KPI Dashboards Reporting 226

DataKitchen

NOVEMBER 18, 2021

When there is a problem in data pipelines, data engineers are expected to fix it using ad hoc processes that simply will not scale. If data pipelines span teams, then there is an unpleasant (and often political) discovery phase where people may point fingers at each other. Gartner estimated that 85% of big data projects fail.

Testing 246

Testing Data Governance Measurement Software 246

O'Reilly on Data

JANUARY 22, 2019

At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. Used with permission. Models are used to simplify the complexity of the real world, thus enabling us to focus on the features of a phenomenon that interests us.

Modeling 213

Modeling Finance Uncertainty Data mining 213

datapine

SEPTEMBER 4, 2019

That being said, in this post, we will explain what is a dashboard in business, the features of strategic, tactical, operational and analytical dashboards, and expound on examples that these different types of dashboards can be used. But what do you do with all this business intelligence? Let’s get started.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

O'Reilly on Data

JULY 20, 2021

Communal devices are intended to be used by groups of people in homes and offices. The telephone in the kitchen was for everyone’s use. That’s precisely where we’re wrong: they’re not edge cases, but they’re at the core of how people want to use these devices. We, as users, have certain expectations for what a device should do.

Risk 335

Risk Software Interactive Modeling 335

Cloudera

DECEMBER 4, 2024

Over the next several weeks, we’ll explore the Cloudera AI Inference service in-depth, providing you with a comprehensive introduction to its capabilities, benefits, and use cases. Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Why did we build it?

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

Smart Data Collective

JANUARY 1, 2023

For instance, about 62% of US employees from 22 to 65 years old say they work out of the office at least sometimes today. As we stated in a previous post, cloud technology has made remote teams possible. Microsoft has an article detailing the many benefits of using the cloud for video conferencing. Key iMind.com Features.

Technology 124

Technology Software IT Management 124

AWS Big Data

DECEMBER 4, 2024

Like many large financial institutions, ANZ Institutional Division operated with siloed data practices and centralized data management teams. In today’s rapidly evolving financial landscape, data is the bedrock of innovation, enhancing customer and employee experiences and securing a competitive edge.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

datapine

JUNE 5, 2019

Data is all around us. How Data Dashboards Are Used In BI. According to the EMC Digital Universe study, by 2020, around 40 trillion megabytes – or 40 zettabytes – will exist in our digital landscape. That’s an unfathomable amount of information. Let’s kick things off by asking the question: what is a data dashboard?

Dashboards 316

Dashboards KPI Sales Visualization 316

O'Reilly on Data

NOVEMBER 28, 2023

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed. Generative AI has been the biggest technology story of 2023.

Enterprise 342

Enterprise Modeling Testing Reporting 342

datapine

OCTOBER 14, 2020

Take a comfortable seat, enjoy the power of interactive business dashboards , leave your spreadsheets behind, and utilize the advantages of interactive dashboard design and its features. Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Juice Analytics

JANUARY 7, 2025

Meet FRED, a 33-year-old data tool from St. FRED uses data from trusted sources such as the BLS and US Census. FRED uses data from trusted sources such as the BLS and US Census. Commenters rave about being able to save graphs that they can use in their discussions. Why does FRED break through? Credibility.

Advertising 52

Advertising Visualization Metrics Publishing 52

AWS Big Data

MARCH 10, 2025

Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume. Consider using AI-driven scaling and optimization if your current workload requires 32 to 512 base RPUs.

Optimization 87

Optimization Data Warehouse Data-driven Testing 87

datapine

JULY 1, 2020

Digital data is all around us. We will explain the ad hoc reporting meaning, benefits, uses in the real world, but first, let’s start with the ad hoc reporting definition. And this lies in the essence of the ad hoc reporting definition; providing quick reports for single-use, without generating complicated SQL queries. .

Reporting 260

Reporting Dashboards Cost-Benefit Visualization 260

CIO Business Intelligence

NOVEMBER 20, 2023

During meetings with customers, salespeople had to juggle up to four different siloed tools to access data on premises and in the cloud. In addition, they needed standardized processes during sales meetings that would populate the CRM with the right data. It also bottles the Pepsi range of products for PepsiCo in New Zealand.

Sales 115

Sales Digital Transformation Manufacturing Marketing 115

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. 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.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

MARCH 7, 2023

Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months. Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

datapine

AUGUST 12, 2020

This is where the need to use a report tool and monitor when all of these little and big changes arise: knowing what is happening in your business is key to keep it afloat and be prepared to face any transformation or drastic shift. To understand the best uses for business reports it’s essential to properly define these kinds of reports.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. The data and analytics environment can be challenging to navigate, and having the right supportive tools in place can help companies gain the insights they need to meet, and even exceed, their goals. 2) What Is Embedded BI? million per year.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

CIO Business Intelligence

MARCH 5, 2024

These AI assistants often use the term copilot to indicate how generative AI capabilities embedded in workflow tools can augment and assist people in performing tasks and prompting for information more efficiently. GitHub first launched its copilot in 2021 , and Microsoft 365 Copilot became generally available a few months ago.

Advertising 125

Advertising Cost-Benefit Experimentation Reporting 125

CIO Business Intelligence

OCTOBER 16, 2023

Offering a work-from-home option is no longer negotiable if you want to keep your teams staffed with talented employees. That’s a jump from a post-pandemic Gartner study , which found that 39% of US adults would leave their job if remote work were no longer permitted. They even miss in-person meetings. We just sucked at it.”

Technology 128

Technology Modeling Reporting Software 128

AWS Big Data

DECEMBER 4, 2024

While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures.

Data Integration 114

Data Integration Data Lake Statistics Data-driven 114

O'Reilly on Data

MARCH 7, 2019

Meet the language of emergency room triage notes. That happens because that’s how doctors will answer if you ask them what language they use. None of them use the words “patient” or “pain.” They use a lot of jargon: 10/10 refers to the intensity of pain. are written in English. They don’t have a subject.

Deep Learning 279

Deep Learning Testing Machine Learning Modeling 279

CIO Business Intelligence

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. Hemodialysis is a life-saving treatment for those suffering from kidney failure.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

Cloudera

DECEMBER 21, 2021

This allowed us to have disaggregated storage and compute layers, independently scaling based on workload requirements. A flexible orchestration tool that enables easier automation, dependency management, and customization — like Apache Airflow — is needed to meet the evolving needs of organizations large and small. New in 2021.

Snapshot 118

Snapshot Data-driven Optimization Management 118

DataKitchen

OCTOBER 5, 2022

Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. Jason is the CDO for Company X, responsible for six teams of data professionals across several locations.

Testing 169

Testing Risk Data Processing Statistics 169

CIO Business Intelligence

APRIL 27, 2023

But despite the bumpy year, demand for technology skills remains strong, with the US tech unemployment rate dropping to 1.5% Finally, the director of IT is tasked with managing specific teams or departments within IT operations, often including development teams and help desk support. as of January. increase from 2021.

IT 116

IT Software Risk Management 116

CIO Business Intelligence

MAY 28, 2022

Das’s biggest priorities include integrating Randall-Reilly IT with client systems to become more essential to their businesses, rearchitecting old systems using modern approaches such as microservices, implementing AI and machine learning to automate manual processes, and delivering clean, standardized data for analytics and monitoring.

IT 137

IT ROI Cost-Benefit Technology 137

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