Smart Data Collective

JUNE 19, 2019

The Relationship between Big Data and Risk Management. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Tips for Improving Risk Management When Handling Big Data. Risk management is a crucial element of any successful organization.

Risk Management 70

Risk Management Risk Management Big Data 70

O'Reilly on Data

APRIL 23, 2024

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services. I think not. Let’s not wait till the robber barons are back.

Advertising 279

Advertising Cost-Benefit Marketing Risk 279

CIO Business Intelligence

FEBRUARY 7, 2024

OpenAI, Google DeepMind, Microsoft, and Meta are among companies who have agreed to allow the UK’s new AI Safety Institute (AISI) to evaluate their models, but they aren’t happy with the current pace or transparency of the evaluation, according to a published report in the Financial Times, which cited sources close to the companies.

Testing 124

Testing Reporting Risk Modeling 124

Smart Data Collective

JANUARY 4, 2023

First, this innovative technology reduces the risk of errors. According to a study published in the Journal of the American Medical Association, electronic health records (EHRs) and other data-tracking systems can help reduce billing errors by up to 50%. Wearable technology can be worn on the body to monitor various health metrics.

Technology 112

Technology Big Data Metrics Data-driven 112

CIO Business Intelligence

JULY 13, 2022

Here’s the secret to creating a board presentation on cybersecurity, according to Victor Shadare, head of cybersecurity at the international publishing giant Condé Nast : “The board doesn’t have time to look at detail as such. One risk mitigation strategy is to move away from passwords to more secure protocols.

Strategy 124

Strategy Metrics Risk Risk Management 124

DataKitchen

DECEMBER 6, 2022

Observability : Monitoring live/historic workflows, insights into workflow performance, and cost metrics impact analysis. We tell all our prospects to strive for zero errors and make deployment fast/low risk, and your team will see incredible gains in the amount of work they create. DataOps Observability. Gartner agrees: .

Software 130

Software Marketing Data Lake Testing 130

IBM Big Data Hub

APRIL 9, 2024

This makes it possible to then use watsonx.governance to evaluate the quality of the output, using metrics such as ROUGE, METEOR and perplexity scores while using HAP guardrails to eliminate any hate, abuse or profanity content. It’s a compromise that delivers the results we need while minimizing risk.” .” Watsonx.ai

Management 79

Management IT Machine Learning Metrics 79

IBM Big Data Hub

DECEMBER 8, 2023

With over 20,000 Common Vulnerabilities and Exposures (CVEs) being published each year 1 , the challenge of finding and fixing software with known vulnerabilities continues to stretch vulnerability management teams thin. Does reducing the number of critical CVEs significantly reduce the risk of a breach?

Risk 68

Risk Testing Reporting Software 68

DataRobot Blog

DECEMBER 6, 2022

Taking a Multi-Tiered Approach to Model Risk Management. Understand why organizations need a three-pronged approach to mitigating risk among multiple dimensions of the AI lifecycle and what model risk management means to today’s AI-driven companies. Read the blog. Explainable AI for Transparent Decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

SEPTEMBER 20, 2023

Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams. He recommends that leaders identify a metric that focuses on value to the customer.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 339

Management Machine Learning Experimentation Metrics 339

Alation

AUGUST 17, 2022

The Risks of Early Data Governance Programs. The biggest risk was a lack of ownership. Too often, organizations don’t educate their users about data governance, security, and business risk,” claims analyst Jack Gold. If your definitions are bad, so is your governance/risk/security. Enterprise risk management.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 77

Measurement Metrics Reporting Strategy 77

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

DataKitchen

SEPTEMBER 20, 2021

Minimize Deployment Risk. The self-service team in New Jersey uses sandboxes aligned with their data pipeline (Add Data, Deploy, Publish). DataKitchen automated orchestration provides an opportunity to collect and display metrics on all of the activities related to analytics. Data organizations know they need to be more agile.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

MAY 16, 2022

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. In 2011, another update — dubbed ITIL 2011 — was published under the Cabinet Office.

IT 105

IT Cost-Benefit ROI Risk 105

Cloudera

DECEMBER 3, 2021

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. We need to get to the root of the problem. Uncertainty is a measure of our confidence in the predictions made by a system.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

FineReport

FEBRUARY 17, 2021

Risk management. Here, project managers should summarize all predicted risks so that stakeholders can obtain a clear risk assessment and prepare plan B. Viewers can track key information such as progress, costs, quality, and risks at a glance. Check their status: availability, missing, under or over allocation.

Reporting 98

Reporting Management Dashboards Risk 98

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). The metrics are saved in Amazon S3 to have a persistent output.

Data Quality 89

Data Quality Visualization Metadata Metrics 89

Cloudera

MARCH 3, 2022

In the 2020 O’Reilly Data Quality survey only 20% of respondents say their organizations publish information about data provenance or data lineage internally. What’s more, SDX provides access to the lineage, metadata, and metrics associated with data utilization across environments. From Bad to Worse.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

Jet Global

OCTOBER 28, 2020

A CFO Key Performance Indicator (KPI) or metric is a quantifiable high level measure of financial performance. These performance metrics can also be used to measure a company’s financial performance relative to competitors in the same industry. Publicly traded companies publish this information in quarterly reports for investors.

Dashboards 52

Dashboards KPI Metrics Measurement 52

Sisense

SEPTEMBER 3, 2020

They also put together custom database queries to answer the questions of business users, implement new metrics from existing data, strive to improve data quality, and contribute to correct acquisition of new data. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports.

Statistics 97

Statistics Metrics Visualization Finance 97

CIO Business Intelligence

JUNE 21, 2023

New research published jointly between Pearson and ServiceNow found that AI is already affecting the tech skills needed for tomorrow’s work. Show the short-term and long-term benefits, along with the associated costs and risks. Also spotlight the other side of ROI (return on ignorance).

Modeling 105

Modeling Cost-Benefit ROI Digital Transformation 105

IBM Big Data Hub

AUGUST 7, 2023

2,3 When clinical trials are prematurely discontinued due to trial site underperformance, the research questions remain unanswered and research findings end up not published. This is in line with existing sector benchmarks. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Alation

JUNE 24, 2021

Originally published by the International Institute for Analytics. But people are not typically having trouble understanding the fundamental underlying data as much as they are having trouble understanding how to make decisions by interpreting and using the various metrics and analytics generated from that data.

Metrics 52

Metrics Big Data Analytics Risk 52

Smarten

NOVEMBER 19, 2018

Predictive analytics employs various analytical and modeling techniques, leveraging historical data and business results to identify crucial relationships, opportunities and risks so that business managers can more accurately predict growth, and competitive and market changes and identify trends and patterns.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Cloudera

SEPTEMBER 20, 2022

Designers of AI systems for art should identify which images in their training sets strongly influenced a result using metrics of image similarity, in order to both credit the influence appropriately (perhaps monetarily) and facilitate avoiding plagiarism. Cham: Springer International Publishing, 2016. Misuse — what could go wrong?

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

Insight

SEPTEMBER 24, 2019

This, in my opinion, was a very good decision on the part of the foundation as the reputational risk of rolling out an unstable network is far greater than the need to decentralize early. The network is only as strong as the weakest link, so we need to make sure every P-Rep operator is running high-quality infrastructure.

Testing 40

Testing Risk Finance Metrics 40

Alation

JULY 28, 2021

Without accounting for the ethics of those behaviors, there is a risk of creating a terrifically managed and tightly governed process that does horribly unethical things. Originally published by the International Institute for Analytics.

Data Science 52

Data Science Data Governance Modeling Software 52

IBM Big Data Hub

AUGUST 11, 2023

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. Reduced risk—Machine learning models need review and scrutiny.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Smarten

NOVEMBER 22, 2017

These tools allow the enterprise to establish and monitor key metrics and to objectively assess results. Self-Serve Advanced Analytics provides a roadmap to guide you through a maze of organizational data with tools and models that will bring together data from disparate sources and enable sophisticated yet simple analytics.

Analytics 40

Analytics IT Business Intelligence Visualization 40

datapine

JANUARY 18, 2023

This insightful report displays relevant metrics such as the top-performing agents, net promoter score, and first contact resolution rate, among others. It serves up a balanced blend of metrics that will empower you to boost engagement as well as retention rates.

Reporting 201

Reporting Metrics Dashboards Visualization 201

O'Reilly on Data

MAY 27, 2020

Ever since 1989, the state has periodically published a report card that rates each surgeon, by name, based on how many of that surgeon’s patients died in hospital or within 30 days after coronary artery bypass surgery. There are about 150 cardiac surgeons in New York State, for instance.

Risk 356

Risk Testing Measurement Reporting 356

AWS Big Data

JANUARY 16, 2024

This lets you to define, avoid, and handle disruption risks as part of your business continuity plan. Detect disasters in the primary environment: Proactive monitoring through metrics and alarms Prompt detection of disasters in the primary environment is crucial for timely disaster recovery.

Strategy 101

Strategy Metadata Metrics Dashboards 101

IBM Big Data Hub

APRIL 3, 2024

These new rules join existing regulations in both the US and around the world requiring companies to make climate-related disclosures and provide other ESG-related metrics. The new rules will take effect 60 days after they’re published in the federal register. When will companies be required to begin disclosures?

Risk 52

Risk Gap analysis Reporting Risk Management 52

CDW Research Hub

AUGUST 19, 2019

This will help you maximize holiday results, reduce risk, and lower everyone’s stress levels. Will it include a readout summary of volumes of orders and customers, distilled application monitoring metrics, review and signoff of marketing content? Ongoing update emails every few hours? What will be the format of these communications?

Testing 49

Testing Optimization Data Processing Strategy 49

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Hollywood is a $10 billion-a-year industry, and movies range from huge hits to box office bombs.

Risk 67

Risk ROI Modeling Metrics 67