Rocket-Powered Data Science

JUNE 17, 2022

release enables DevSecOps users to gain more insights from Observability data with Federated Search, with the ability to correlate ops with security alerts, and with Edge Management, all in one platform. My closing thought — Cybersecurity is basically Data Analytics: detection, prediction, prescription, and optimizing for unpredictability.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

Management 364

Management Experimentation B2B Machine Learning 364

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. How to build analytic products in an age when data privacy has become critical”. Culture and organization.

Machine Learning 277

Machine Learning Risk Management Statistics 277

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

O'Reilly on Data

JUNE 18, 2019

These data sets are often siloed, incomplete, and extremely sparse. Moreover, the domain knowledge, which often is not encoded in the data (nor fully documented), is an integral part of this data (see this article from Forbes). See this article on data integration status for details. Data programming.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

CIO Business Intelligence

JANUARY 14, 2025

Just as state urban development offices monitor the health of different cities and provide targeted guidance based on each citys unique challenges, our portfolio health dashboard offers a comprehensive view that helps guide different business units toward optimal outcomes.

Enterprise 119

Enterprise Technology Metrics Measurement 119

Rocket-Powered Data Science

MAY 21, 2024

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” See additional references and resources at the end of this article. Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win!

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

datapine

JULY 8, 2020

A COO (chief operating officer) dashboard is a visual management tool used by COOs to connect multiple data sources, track, evaluate, and help COOs to optimize operational processes within a company by using interactive metrics and advanced analytical capabilities. What Is A COO Dashboard? Automate as much as possible.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

Smart Data Collective

MARCH 24, 2020

Big Data can be a powerful tool for transforming learning, rethinking approaches, narrowing longstanding gaps, and tailoring experience to increase the effectiveness of the educational system itself. Now it has become so popular that you can even get data structure assignment help from professionals. Data collection.

Big Data 122

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 122

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

Rocket-Powered Data Science

JULY 21, 2023

From these data streams, real-time actionable insights can feed decision-making and risk mitigations at the moment of need. Such prescriptive capabilities can be more proactive, automated, and optimized, making digital resilience an objective fact for businesses, not just a business objective.

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics.

Marketing Analytics 122

Marketing Analytics Marketing Data-driven Analytics 122

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation.

Data Governance 145

Data Governance IT Data Lake Risk 145

CIO Business Intelligence

JANUARY 3, 2024

These objections often include, “But we’ve always done it this way” (resistance to change), “It works just fine as is” (accepting the status quo which may be a sub-optimal solution), “Let’s wait until post-build” (pushing things off until later), “Let’s start with the metaverse” (being distracted by shiny objects), and more.

Cost-Benefit 136

Cost-Benefit ROI Manufacturing Optimization 136

datapine

JANUARY 31, 2022

Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses. Renowned author Bernard Marr wrote an insightful article about Shell’s journey to become a fully data-driven company. Let’s look at our first use case. Let’s see it with a real-world example.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

MARCH 4, 2025

This article goes behind the scenes on whats fueling Blocks investment in developer experience, key initiatives including the role of an engineering intelligence platform , and how the company measures and drives success. Rather, Coburns team optimizes for fast experimentation and a metrics-driven approach.

Experimentation 69

Experimentation Metrics Data-driven Measurement 69

CIO Business Intelligence

MARCH 19, 2025

Integrating ESG into data decision-making CDOs should embed sustainability into data architecture, ensuring that systems are designed to optimize energy efficiency, minimize unnecessary data replication and promote ethical data use.

IT 59

IT Data Governance Data-driven Metrics 59

datapine

AUGUST 12, 2020

The examples of business reports that we used in this article can be utilized in many different industries, the data can be customized based on the factual information of the specific department, organization, company or enterprise. These reports also enable data collection by documenting the progress you make.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

Smart Data Collective

FEBRUARY 24, 2022

The more information you can gather about people’s misunderstandings and struggles they often go through, the better it’ll be for optimizing the processes and interface within your product or strengthening your onboarding process. How data can optimize your onboarding process. Data analytics importance.

Data Analytics 124

Data Analytics Analytics Visualization Optimization 124

datapine

JULY 6, 2022

According to an article in Harvard Business Review, measuring productivity in a modern business context is not only about direct labor but about a lot of other non-labor areas. You can dig deeper into this topic by looking at our HR reports article gathering examples and templates. Let’s look at some of them. First Pass Yield (FPY).

Measurement 243

Measurement Metrics KPI Sales 243

Smart Data Collective

JUNE 21, 2023

By understanding and implementing the right HR metrics, organizations can make data-driven decisions, optimize their workforce, and ultimately drive organizational success. There are a number of major benefits of using big data in human resources. Collect and Analyze Data Establish a strong data collection process.

Data-driven 114

Data-driven Analytics Metrics Big Data 114

Smart Data Collective

OCTOBER 24, 2021

Windows Settings For Optimal Security. You may have heard that Microsoft has taken steps to protect customer data from the NSA. As nice as that may sound, their data is still at risk. You can also disable any data collection, diagnostics, and location tracking settings in Settings>Accounts and Settings>Privacy.

Manufacturing 128

Manufacturing Optimization Data Collection Software 128

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 55

Optimization Forecasting Data-driven Statistics 55

CDW Research Hub

DECEMBER 22, 2020

Upon hearing the news, Sirius Executive Vice President of Managed Services and Cloud, Michael Conley remarked, “Our ability to optimize and accelerate the journey to the cloud is what makes us unique, and it is a great honor to be recognized as the leader of the NextGen 101 rankings. Data was collected in 2020.

Management 97

Management Optimization Metrics Data Collection 97

Smart Data Collective

SEPTEMBER 11, 2020

An article in CISCOMAG talks about the benefits of using AI in improving network security. Edge computing is a consumer-focused technology that is used to optimize data collection and processing. AI is especially important in shaping the future of networking.

Technology 113

Technology IoT Internet of Things Cost-Benefit 113

Smart Data Collective

MAY 17, 2021

For example, when you’re reading a physical newspaper or a magazine, it’s impossible for the media company that owns the newspaper or magazine to monitor which pages you spent the most time reading and what type of articles you prefer. We, the consumers, don’t gain much from this massive data collection and profiling.

Cost-Benefit 106

Cost-Benefit Advertising Data Collection Data-driven 106

CIO Business Intelligence

APRIL 14, 2022

This article was co-authored by Katherine Kennedy , an Associate at Metis Strategy. production assets with sensors to generate digitized methane detection data and indicate methane leaks, allowing them to improve safety measures onsite and lower emissions. Smarter operations through integrated data and analytics.

Strategy 111

Strategy Digital Transformation IoT Measurement 111

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. These models are then used for anomaly detection or inferences about what will happen. . Risk Management.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Smart Data Collective

APRIL 1, 2021

The technological advancements have left no excuse for brands to justify the lack of customer data collection. This data, in return, enables them to carve out specialized marketing campaigns targeting the right audience. Now marketers can capture data at almost every stage of the buying decision.

Big Data 137

Big Data Marketing Data-driven ROI 137

O'Reilly on Data

JULY 28, 2020

A recent article in The Verge discussed PULSE , an algorithm for “upsampling” digital images. There is no such thing as “raw data,” and hence, no pure, unadulterated, unbiased data. Data is always historical and, as such, is the repository of historical bias.

Testing 169

Testing Statistics Recreation/Entertainment Software 169

datapine

JUNE 4, 2020

Consequently, time is generously saved and productivity levels easily rise but we will focus on detailed benefits later in our article. Especially in the technology area, chief officers have a challenging task of managing the whole tech cycle of an organization, including optimization and future developments.

Dashboards 130

Dashboards Reporting Metrics Visualization 130

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. All simple fixes.

Visualization 145

Visualization Key Performance Indicator Dashboards Metrics 145

Cloudera

SEPTEMBER 4, 2020

For example, some of the leading service providers such as BT are collecting and analyzing data from their own fleet to optimize routes, understand the performance of these vehicles, and also perform predictive maintenance. . The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3.

IoT 93

IoT Machine Learning Optimization Insurance 93

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. You can find a discussion on the benefits of machine learning for risk parity at the end of this article. Over the past few months, many others have started talking about some of the changes that we blogged about for years.

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

Smart Data Collective

JUNE 15, 2022

According to many surveys, more than 90% of retail organizations across a wide range of sectors feel location data is crucial to their success. In fact, the popularity of location data has grown so much that it is expected to touch about $35 billion in value by 2027. 9 Ways Location Data Can Help You Excel in Retail.

Advertising 111

Advertising Sales Cost-Benefit ROI 111

Insight

MARCH 27, 2019

DeepAugment is an AutoML tool focusing on data augmentation. It utilizes Bayesian optimization for discovering data augmentation strategies tailored to your image dataset. To address this problem, Google published AutoAugment last year, which discovers optimized augmentations for the given dataset using reinforcement learning.

Optimization 75

Optimization Cost-Benefit Modeling Publishing 75

Occam's Razor

MARCH 30, 2017

We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. Sidebar: If you don’t know these three phrases, please watch my short talk: A Big Data Imperative: Driving Big Action.].

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166