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

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

CIO Business Intelligence

NOVEMBER 29, 2023

If you’re skeptical about dipping your enterprise’s virtual toes into a metaverse, rightfully so. While the roots of the metaverse date back more than 70 years, the concept gained instant credibility when it landed on Gartner’s 2022 Hype Cycle for Emerging Technologies with a “Plateau of Productivity’ timeframe of “more than 10 years.”

Interactive 90

Interactive Recreation/Entertainment Enterprise Advertising 90

IBM Big Data Hub

FEBRUARY 2, 2024

Through the GRAMMYs®, the Recording Academy® seeks to recognize excellence in the recording arts and sciences and ensure that music remains an indelible part of our culture. When the world’s top recording stars cross the red carpet at the 66th Annual GRAMMY Awards, IBM will be there once again.

Recreation/Entertainment 61

Recreation/Entertainment Broadcasting Consulting Dashboards 61

Ontotext

FEBRUARY 1, 2024

Specifically, I explore the challenges of complexity , scale , explainability , and trust. For example, the method for managing multilingual taxonomies became massively simpler (once concept could now hold multiple language labels), resulting in huge cost savings compared with the previous data model.

Enterprise 59

Enterprise Management Metadata Modeling 59

AWS Big Data

JULY 25, 2023

Alcion, a security-first, AI-driven backup-as-a-service (BaaS) platform, helps Microsoft 365 administrators quickly and intuitively protect data from cyber threats and accidental data loss. OpenSearch Service is a fully managed service that makes it easy to deploy, scale, and operate OpenSearch in the AWS Cloud.

Cost-Benefit 72

Cost-Benefit Modeling Management Optimization 72

IBM Big Data Hub

APRIL 18, 2023

These include computer vision and sound recognition systems that help automate curation and editing of exciting moments in sports; systems that extract summaries or factoids from vast amounts of structured and unstructured natural language data; and systems that forecast and predict player performance and winners.

Recreation/Entertainment 76

Recreation/Entertainment Broadcasting Unstructured Data Consulting 76

O'Reilly on Data

MARCH 23, 2021

There is a growing disbelief and distrust in basic science and government. It seems harder than ever to agree with others on basic facts, let alone to develop shared values and goals: we even claim to live in a post-truth era. For every piece of information X somewhere, you can likely find “not X” elsewhere.

Internet Publishing and Broadcasting 315

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 315

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones.

Marketing 362

Marketing Experimentation Metrics Testing 362

bridgei2i

MARCH 3, 2021

Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. They discuss how the data engineering team is instrumental in easing collaboration between analysts, data scientists and ML engineers to build enterprise AI solutions.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Solutions should be flexible to scale up and down.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

AWS Big Data

JUNE 21, 2023

Amazon OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch in the AWS Cloud. It also provides other database functionality like managing vector data alongside other data types, workload management, access control and more.

Metrics 77

Metrics Measurement Modeling Dashboards 77

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

JULY 18, 2018

The practice of medicine is not only a science, it is also an art. As such, we are witnessing a revolution in the healthcare industry, in which there is now an opportunity to employ a new model of improved, personalized, evidence and data-driven clinical care. Security and compliance must be met, first and foremost.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 77

Management Risk Measurement Optimization 77

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

AWS Big Data

MARCH 27, 2023

Data lakes have come a long way, and there’s been tremendous innovation in this space. Today’s modern data lakes are cloud native, work with multiple data types, and make this data easily available to diverse stakeholders across the business.

Data Lake 83

Data Lake Data-driven Management Data Architecture 83

Insight

APRIL 16, 2019

Trust as the foundation of the modern tech stack Our apps and connected devices produce a deluge of data that is collected with the goal of improving and funding the services that enrich our lives. If a company treats security and data privacy as afterthoughts, then users will vote with their clicks and take their data elsewhere.

Machine Learning 68

Machine Learning Software Risk Reporting 68

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Session Summary. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 114

Strategy Marketing Unstructured Data Data Science 114

DataRobot Blog

FEBRUARY 21, 2022

With growing pressure on data scientists, every organization needs to ensure that their teams are empowered with the right tools. Data science notebooks have become a crucial part of the data science practice. Collaboration and Sharing: Is it easy to collaborate? The bar for AI keeps rising.

Data Science 52

Data Science Recreation/Entertainment Risk Visualization 52

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. A professional dashboard maker enables you to access data on a single screen, easily share results, save time, and increase productivity. That’s why we welcome you to the world of interactive dashboards. Let’s get started.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Cloudera

NOVEMBER 22, 2017

All these qualities are applicable in martial arts, one of my many passions outside of work. Data is now the world’s most valuable resource. When combined with analytics, data can create possibilities that are simply endless. At Cloudera, we are committed to making a positive impact on society and leveraging data for good.

Data Science 41

Data Science Machine Learning Data-driven Technology 41

CIO Business Intelligence

FEBRUARY 14, 2024

Alongside this AI buzz is the exponential data growth within every enterprise; studies show that global data creation is projected to grow to more than 180 zettabytes by 2025. Whether greeted with excitement or anxiety, it’s clear that AI is expected to transform the business landscape over the next three years.

Data-driven 67

Data-driven Uncertainty Enterprise Business Objectives 67

datapine

NOVEMBER 27, 2019

Data exploded and became big. 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. It will also be a year of collaborative BI and artificial intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. But what are “trends”?

Machine Learning 363

Machine Learning Software Testing Technology 363

CIO Business Intelligence

DECEMBER 19, 2022

An underwriting infrastructure will allow us to leverage information, available across these wide sets of customers, by feeding it into certain projection models that will enable us to take credit decisions at scale. To develop these products, we will heavily use data, artificial intelligence, and machine learning.

Data Warehouse 111

Data Warehouse Finance Machine Learning Technology 111