David Menninger's Analyst Perspectives

SEPTEMBER 24, 2024

Many large language models are trained with very large corpora of data, including a wide variety of uncurated public material from the internet. Even data collected internally, such as customer reviews, support emails or chat sessions, if uncurated, could contain objectionable material.

Testing 173

Testing Modeling Enterprise Risk 173

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. What Is Data Interpretation? Data interpretation refers to the process of using diverse analytical methods to review data and arrive at relevant conclusions. Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

MAY 11, 2021

More people are starting to feel uneasy about large tech companies having so much control over their data. This feeling is fueling the growing pushback against advertisers collecting personal data. Why Was Such Unchecked Data Collection Even Allowed? Privacy has always been a big thing for people.

Advertising 126

Advertising Data Collection IT Big Data 126

datapine

NOVEMBER 19, 2019

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. Such innovations offer the ability to transfer data over a network, creating valuable experiences for both the consumer and the business itself.

Technology 279

Technology Internet of Things IT IoT 279

Rocket-Powered Data Science

JULY 7, 2019

Such approaches can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full scale modeling, efficient data collection, management, and data mining.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

O'Reilly on Data

JUNE 18, 2019

Even with the rise of open source tools for large-scale ingestion, messaging, queuing, and stream processing, siloed data and data sets trapped behind the bars of various business units is the normal state of affairs in any large enterprise. Ihab Ilyas on “Why data preparation frameworks rely on human-in-the-loop systems”.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Smart Data Collective

AUGUST 25, 2022

IoT refers to any connected physical device that can send or receive data over the internet, including smartphones, computers, speakers, security cameras, thermostats, door locks, vehicles—the list goes on and on. For businesses, these considerations include data privacy, security, and liability.

IoT 145

IoT Internet of Things IT Manufacturing 145

CIO Business Intelligence

OCTOBER 24, 2023

Understanding GenAI and security GenAI refers to the next evolution of AI technologies: ones that learn from massive amounts of data how to generate new code, text, and images from conversational interfaces. Data breaches and invasive data collection AI systems can be exploited to gain unauthorized access to private data.

Risk 126

Risk Recreation/Entertainment Data Collection Data Processing 126

datapine

JULY 6, 2022

Sales goals and profit margins are all performance metrics examples that businesses reference, but it goes much deeper than that. In order to set a point of reference for your human resources professionals, the average time to fill is a helpful productivity metric. KPIs and productivity metrics can often act as intertwining categories.

Measurement 243

Measurement Metrics KPI Sales 243

Smart Data Collective

OCTOBER 16, 2023

Smart devices use sensors to collect data and upload it to the Internet. Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources.

Big Data 124

Big Data IoT Cost-Benefit Advertising 124

CIO Business Intelligence

AUGUST 9, 2024

If after anonymization the level of information in the data is the same, the data is still useful. But once personal or sensitive references are removed, and the data is no longer effective, a problem arises. Synthetic data avoids these difficulties, but they’re not exempt from the need of a trade-off.

Risk 138

Risk Measurement Data Lake Data Collection 138

O'Reilly on Data

MARCH 31, 2020

There may even be someone on your team who built a personalized video recommender before and can help scope and estimate the project requirements using that past experience as a point of reference. That foundation means that you have already shifted the culture and data infrastructure of your company.

Management 363

Management Machine Learning Experimentation Metrics 363

DataRobot

AUGUST 25, 2021

The largest source of bias in an AI system is the data it was trained on. That data might have historical patterns of bias encoded in its outcomes. Bias might also be a product not of the historical process itself but of data collection or sampling methods misrepresenting the ground truth. How Do I Measure AI Bias?

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

Smart Data Collective

AUGUST 26, 2021

Big Data Analytics & Weather Forecasting: Understanding the Connection. Big data analytics refers to a combination of technologies used to derive actionable insights from massive amounts of data. The data collected from these devices is analyzed to predict the weather at a particular location.

Forecasting 133

Forecasting Data Analytics Analytics Internet of Things 133

Smart Data Collective

FEBRUARY 1, 2023

Referred to as the Internet of Things (IoT) these devices communicate directly with doctors or the patient themselves to provide up-to-the-minute health updates that can be lifesaving. There are more ways than ever to provide high-quality healthcare evaluations, and data collection remotely.

Data Analytics 143

Data Analytics Analytics Big Data Internet of Things 143

AWS Big Data

FEBRUARY 1, 2024

For instructions, refer to Create your first S3 bucket. For instructions, refer to Get started. Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). For explanations of each field, refer to Common Crawl Index Athena.

Metadata 121

Metadata Modeling Data Processing Unstructured Data 121

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. Once it was able to identify helmets, it was taught to recognize helmet impacts and cross-reference NGS data to determine which players were involved.

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

erwin

FEBRUARY 28, 2019

The smart cities movement refers to the broad effort of municipal governments to incorporate sensors, data collection and analysis to improve responses to everything from rush-hour traffic to air quality to crime prevention. This can be accomplished with dashboards and constituent portals.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Rocket-Powered Data Science

SEPTEMBER 18, 2018

For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. Follow Kirk on Twitter at @KirkDBorne.

Big Data 103

Big Data Data Science Data Collection Measurement 103

FineReport

AUGUST 14, 2020

For open-source reporting tools, you can refer to this article? For popular reporting tools on the market, you can refer to: Best Reporting Tools List in 2020 and How to Choose. Based on the process from data to knowledge, a standard reporting system’s functional architecture is shown below.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

FineReport

APRIL 9, 2021

However, companies operation generates numerous and complicated data every day, beyond traditional manual reporting capacity. If the financial analysis will go to non-financial professionals, the financial analysis report only needs conclusive key indicators and data. This article provides four ideas for reference.

Reporting 98

Reporting Finance Dashboards Enterprise 98

AWS Big Data

JULY 13, 2023

Enable QuickSight in your data collection account. For instructions, refer to Setting up for Amazon QuickSight. Follow the steps in Centralized view of support cases opened from multiple AWS accounts using AWS Systems Manager to establish Systems Manager Explorer and create a resource data sync for data aggregation.

Dashboards 92

Dashboards Visualization Interactive Management 92

Smart Data Collective

MAY 29, 2023

Understanding Bias in AI Translation Bias in AI translation refers to the distortion or favoritism present in the output results of machine translation systems. This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence. AI translation models must collect and annotate data fairly.

Metrics 96

Metrics Measurement Data Collection Strategy 96

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Smart Data Collective

MARCH 23, 2022

For instance, it is the same case with Amazon when they recommend related products, so the term “ basket” refers to what shoppers use the most when shopping. When possessing this type of data , you can predict future consumer behavior based on past purchases and preferences.

Data mining 133

Data mining Marketing Data Collection Insurance 133

CIO Business Intelligence

MAY 24, 2023

The US Department of Commerce (DOC) is probably the biggest collector of data in the United States. They collect, archive, and analyze everything from weather and farming data to scientific and economic data. Data Governance, IT Governance Frameworks, IT Leadership

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

DataKitchen

JUNE 21, 2024

Implement these quickly, but be sure to document them for future reference. As you emerge from the immediate fire-fighting phase, blinking in the sunlight of slightly less terrible data quality, it’s time to think long-term. This is where you channel your inner data quality guru and build consensus for sustainable solutions.

Data Quality 130

Data Quality Measurement Metrics Data Collection 130

CIO Business Intelligence

MAY 29, 2024

A search engine using AI would recognize that the differences between the query and the material description are referring to the same product. Not only that, but AI can analyze multiple data fields and apply historical trends to discriminate between materials that have very similar product descriptions.

Sales 102

Sales Machine Learning Modeling Data Collection 102

CIO Business Intelligence

APRIL 28, 2024

Huawei’s outlook on power scenarios may not be from an insider’s point of view, but our fresh perspective can still provide valuable reference and input for power companies. Grid-based sources, like weather forecasts, can provide accurate weather data to enhance the prediction accuracy of wind, solar, and hydro power generation.

Interactive 95

Interactive Uncertainty Data Collection IoT 95

Occam's Razor

APRIL 19, 2010

Point of confusion: People, like me, often also use the term Desirable Outcomes to refer to business objectives. Full disclosure: Depending on the specificity of your business objectives my asking you for your "desirable outcomes" could refer to "what are your goals". They are one and the same thing. See below.]. Truly heart warming.

Metrics 140

Metrics Key Performance Indicator KPI Analytics 140

CIO Business Intelligence

JULY 3, 2023

They refer to this as SynthAI where the models are trained on proprietary data sets and optimized for discrete purposes, such as resolving customer support issues, summarizing market research results and creating personalized marketing emails.

Management 105

Management Experimentation Modeling Enterprise 105

Smart Data Collective

AUGUST 31, 2020

At Smart Data Collective, we have talked extensively about the benefits of big data in digital marketing. We have focused a lot on using data analytics for SEO. However, there are a lot of other benefits of using big data in marketing. You shouldn’t limit yourself to using data analytics in your SEO strategy.

Data-driven 104

Data-driven Marketing Big Data Broadcasting 104

AWS Big Data

MAY 15, 2024

By extracting detailed information from CloudTrail and querying it using Athena, this solution streamlines the process of data collection, analysis, and reporting of EIP usage within an AWS account. AWS CloudTrail Lake supports the collection of events from multiple AWS regions and AWS accounts.

Snapshot 114

Snapshot Data Lake Optimization Reporting 114

Smart Data Collective

SEPTEMBER 6, 2020

Software as a Solution (SaaS) products are often referred to as cloud-based solutions. You access the application and data via the internet using any popular browser. Gathering data on users and processing payments requires attention to security and compliance. The ecosystem refers to the community and support available to you.

B2B 135

B2B Data Analytics Analytics Cost-Benefit 135

O'Reilly on Data

JULY 20, 2021

Contextual informational norms refer to five independent parameters: data subject, sender, recipient, information type, and transmission principle. If you’re designing a device, you need to require users to opt in to data sharing (especially as regions adapt GDPR and CCPA-like regulation).

Risk 335

Risk Software Interactive Modeling 335