Smart Data Collective

AUGUST 27, 2023

This is where data collection steps onto the pitch, revolutionizing football performance analysis in unprecedented ways. The Evolution of Football Analysis From Gut Feelings to Data-Driven Insights In the early days of football, coaches relied on gut feelings and personal observations to make decisions.

Data Collection 98

Data Collection Broadcasting Data-driven Predictive Analytics 98

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. One of the most important changes pertains to risk parity management. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. What is risk parity?

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

FineReport

FEBRUARY 25, 2020

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

Data Collection 96

Data Collection IT Dashboards Reporting 96

O'Reilly on Data

DECEMBER 10, 2019

As Chris Ré said at our conference , we’ve made a lot of progress in automating data collection and model generation; but labeling and cleaning data have stubbornly resisted automation. Machine learning also comes with certain risks , and many businesses may not be willing to accept those risks.

Software 335

Software Machine Learning Risk Data-driven 335

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 349

Enterprise Deep Learning Data Governance Risk 349

CIO Business Intelligence

MARCH 4, 2025

As a business executive who has led ventures in areas such as space technology or data security and helped bridge research and industry, Ive seen first-hand how rapidly deep tech is moving from the lab into the heart of business strategy. The takeaway is clear: embrace deep tech now, or risk being left behind by those who do.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

O'Reilly on Data

OCTOBER 22, 2020

The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. How I use it: I like to ask this as early as possible.

Consulting 363

Consulting Risk Cost-Benefit Modeling 363

O'Reilly on Data

JANUARY 28, 2019

Almost everyone who reads this article has consented to some kind of medical procedure; did any of us have a real understanding of what the procedure was and what the risks were? The problems with consent to data collection are much deeper. The problems with consent to data collection are much deeper.

Insurance 247

Insurance Metadata Data Collection Marketing 247

O'Reilly on Data

JULY 28, 2020

This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. A product needs to balance the investment of resources against the risks of moving forward without a full understanding of the data landscape. Conclusion.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

OCTOBER 20, 2022

Exposure to security risk. Access to real-time data relies on instantaneous communication with all your IT assets, the data from which enable your teams to make better-informed decisions. Yet current endpoint practices work with data collected at an earlier point in time. Here’s what will happen if you don’t.

Risk 105

Risk Insurance Digital Transformation Software 105

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. The new Splunk Enterprise 9.0 Observability on-demand).

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Jet Global

JANUARY 20, 2020

Primarily because it gives companies a clear indication of their risk exposure as they move forward in an uncertain economy. Becoming overleveraged with debt raises the risk of insolvency because of the heavy repayment burden. First, it automates data collection and analysis. A New Approach to Financial Ratios.

Risk 80

Risk Metrics Snapshot Dashboards 80

FineReport

FEBRUARY 25, 2020

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

Data Collection 59

Data Collection IT Dashboards Reporting 59

CIO Business Intelligence

AUGUST 16, 2023

Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis. Digital alerts Another project deals with slow-moving vehicles, something that increases the risk of accidents on the roads.

Risk 98

Risk Cost-Benefit Internet of Things Digital Transformation 98

O'Reilly on Data

JULY 20, 2021

It comes down to a key question: is the risk associated with an action greater than the trust we have that the person performing the action is who they say they are? When we consider the risk associated with an action, we need to understand its privacy implications. There is a tradeoff between the trust and risk. Source: [link].

Risk 335

Risk Software Interactive Modeling 335

Sisense

MARCH 3, 2021

This data comes from various sources: Hospital records Patient medical records Examination results Biomedical research Insurance records. Electronic health records allow providers to see a digitized version of their patient’s entire medical history.

Big Data 98

Big Data Risk Sales Insurance 98

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

David Menninger's Analyst Perspectives

SEPTEMBER 24, 2024

In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. erroneous results), and an equal amount (32%) mentioned legal risk. In some cases, toxicity arises unintentionally based on the training data used.

Testing 173

Testing Modeling Enterprise Risk 173

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. If you can’t walk, you’re unlikely to run.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

AUGUST 9, 2024

The alternative to synthetic data is to manually anonymize and de-identify data sets, but this requires more time and effort and has a higher error rate. The European AI Act also talks about synthetic data, citing them as a possible measure to mitigate the risks associated with the use of personal data for training AI systems.

Risk 138

Risk Measurement Data Lake Data Collection 138

CIO Business Intelligence

AUGUST 1, 2023

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.

Risk 98

Risk IT Software Digital Transformation 98

Smart Data Collective

OCTOBER 8, 2023

Methodologies in Deploying Data Analytics The application of data analytics in fast food legal cases requires a thorough understanding of the methodologies involved. This involves data collection , data cleaning, data analysis, and data interpretation.

Data Analytics 125

Data Analytics Analytics Statistics Data Collection 125

bridgei2i

SEPTEMBER 24, 2020

However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem. AI is being used to assess, prioritize, and mitigate risks in the enterprise so that the business operations do not take a hit. Risk Management Model. AI for risk.

Risk Management 52

Risk Management Risk Enterprise Management 52

CIO Business Intelligence

NOVEMBER 19, 2024

However, as model training becomes more advanced and the need increases for ever more data to train, these problems will be magnified. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. What does the next generation of AI workloads need?

Management 116

Management Unstructured Data Deep Learning Metadata 116

Smart Data Collective

JUNE 8, 2023

The introduction of data collection and analysis has revolutionized the way teams and coaches approach the game. Liam Fox, a contributor for Forbes detailed some of the ways that data analytics is changing the NFL. Big data will become even more important in the near future.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

Smart Data Collective

MAY 25, 2023

Organizations should be transparent about their data practices, including how data is collected, stored, and used. They should provide clear and easily understandable privacy policies and terms of service to individuals, outlining the purpose of data collection, the types of info collected, and how it will be used and shared.

Data Collection 105

Data Collection Data-driven Measurement Risk 105

Smart Data Collective

OCTOBER 17, 2022

And while it can be used for the benefit of a company to reduce work and attain success more effortlessly, there’s the risk of bias. However, how the software interprets this data or processes algorithms depends on the amount of information it has. Data collection to help mold company and employee preferences in real-time.

Data Collection 132

Data Collection Software Interactive Management 132

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. Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury.

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

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. era is upon us.

Data Governance 145

Data Governance IT Data Lake Risk 145

Smart Data Collective

SEPTEMBER 28, 2022

Today, data has become more critical than it has ever been in the past. We have talked about the importance of investing in good data collection methodologies. There are a growing number of risks with big data. Some of them stem from security issues if data is compromised.

Big Data 145

Big Data Software Risk Data Collection 145

Smart Data Collective

OCTOBER 17, 2022

Sometimes, developers could make mistakes when creating IoT hardware and software, which could put the organization at risk of cybersecurity threats. Organizations integrating IoT in their daily operations have access to various resources that can help them improve their customer reach by gathering more personal data.

IoT 130

IoT Risk Internet of Things Technology 130

Smart Data Collective

APRIL 22, 2020

Predicting Community and Individual Risk of Infection. Predicting an individual’s risk of infection — and better understanding the risk factors involved — is vital in a situation like this. Pre-existing medical conditions. Number and frequency of interactions with others. Weather and climate. McCall, et al.,

Big Data 140

Big Data Machine Learning Risk Interactive 140

CIO Business Intelligence

MARCH 30, 2022

But that takes a deep understanding of the decision-making process, the risks and rewards of each decision, the acceptable margin of error, and the ability to figure how confident you should be in any decision offered by your automated decision processes. Risk scoring traditionally involved a series of if-then decisions.

Machine Learning 144

Machine Learning Testing Risk Data Collection 144

CIO Business Intelligence

SEPTEMBER 26, 2024

“Passive, battery-free RAIN RFID can identify and track items without direct line-of-sight access, enabling real-time, automated data collection and reporting at critical points along the product’s journey.”

IT 131

IT Manufacturing IoT Cost-Benefit 131

O'Reilly on Data

MAY 14, 2020

The foundation of any data product consists of “solid data infrastructure, including data collection, data storage, data pipelines, data preparation, and traditional analytics.” Serving Infrastructure: Our previous article mentioned the need to “walk before running” in the development of AI products.

Management 364

Management Experimentation B2B Machine Learning 364

CIO Business Intelligence

JULY 15, 2022

While working with IT vendors can help ease the burden on IT, it also raises concerns, especially around data, risk, and security. Vendor management can better support IT governance, helping organizations keep a close eye on compliance and risk management. Vendor management certifications.

Management 122

Management Cost-Benefit Risk Software 122

Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111