Depict Data Studio

JULY 13, 2021

— Thank you to Ann Emery, Depict Data Studio, and her Simple Spreadsheets class for inviting us to talk to them about the use of statistics in nonprofit program evaluation! But then we realized that much of the time, statistics just don’t have much of a role in nonprofit work. Why Nonprofits Shouldn’t Use Statistics.

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

IBM Big Data Hub

DECEMBER 8, 2023

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

Risk 67

Risk Strategy Risk Management Insurance 67

Smart Data Collective

NOVEMBER 4, 2021

Cyberattacks have been named one of five top-rated risks in 2020, according to Global Risks Report for both private individuals and businesses. If the answer is so easy why the worrying statistics? Cyber resilience covers cyber security, as well as risk mitigation, business contiguity, and business resilience.

Strategy 132

Strategy Snapshot Risk IoT 132

DataRobot Blog

APRIL 29, 2022

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

Risk 111

Risk Modeling IT Risk Management 111

O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

Laminar Security

JUNE 8, 2023

This widespread cloud transformation set the stage for great innovation and growth, but it has also significantly increased the associated risks and complexity of data security, especially the protection of sensitive data. If a business operates in the cloud, especially the public cloud, it will be subject to cloud data security risk.

Statistics 82

Statistics Risk Reporting Unstructured Data 82

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where remediation strategies come in. Sensitivity analysis.

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. We’re not encouraging skepticism or fear, but companies should start AI products with a clear understanding of the risks, especially those risks that are specific to AI.

Enterprise 342

Enterprise Modeling Testing Reporting 342

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies. Machine learning adds uncertainty.

Management 363

Management Machine Learning Experimentation Metrics 363

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. But let’s see in more detail what experts say and how can we connect and differentiate the both.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

CIO Business Intelligence

MARCH 15, 2022

Artificial data has many uses in enterprise AI strategies. Synthetic data that looks like real data but isn’t allows software to be tested across the full gamut of use cases without putting real data at risk. “If Synthetic data use cases.

Strategy 145

Strategy Testing Sales Modeling 145

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company. The trends we presented last year will continue to play out through 2020. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

FEBRUARY 19, 2025

In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. Forecasting and planning cannot be based on opinions or guesswork. to that the enterprise can mitigate stock shortages and avoid warehouse and inventory overstock.

Predictive Analytics 62

Predictive Analytics Analytics Predictive Modeling Forecasting 62

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

datapine

MARCH 31, 2022

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320. BI engineer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. A clear definition of these goals makes it possible to develop targeted HR strategies that support the corporate vision.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

Smart Data Collective

FEBRUARY 23, 2023

By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. It involves using statistical algorithms and machine learning techniques to identify trends and patterns in the data that would otherwise be difficult to detect. What is Data Mining?

Data mining 145

Data mining Optimization Technology Marketing 145

bridgei2i

MAY 27, 2021

In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion. They discuss the benefits of design thinking; how business partners brainstorming together improves decision-making and creates a holistic strategy.

Statistics 98

Statistics Digital Transformation Data Processing Forecasting 98

Smart Data Collective

SEPTEMBER 19, 2022

Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. They can also anticipate industry trends, assess risks, and make strategic steps to elevate the customer experience. Improving Risk Assessment. Improving Security. Better UI/UX based on A/B testing.

Big Data 145

Big Data ROI Measurement Machine Learning 145

Smart Data Collective

SEPTEMBER 2, 2023

With better benchmarks, KPIs, and statistics , business leaders can better understand their environments and ultimately make more objective, logical decisions. This is an especially important risk to acknowledge when presenting or interpreting data in ways that can potentially skew it. Misleading conclusions. Ignorance of outliers.

Key Performance Indicator 126

Key Performance Indicator Statistics Metrics Interactive 126

Smart Data Collective

AUGUST 31, 2023

As cyber attacks become more sophisticated, organizations must invest in resilient disaster recovery strategies to safeguard their operations and maintain business continuity.” Statistics security issues are growing as more businesses shift their information to the cloud.

Risk 126

Risk Measurement Strategy Data-driven 126

Rocket-Powered Data Science

JULY 19, 2023

This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. Observability represents the business strategy behind the monitoring activities. These may not be high risk. They might actually be high-reward discoveries.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

JUNE 25, 2024

Charles Dickens’ Tale of Two Cities contrasts London’s order and safety with the chaos and risk of Paris. Its performance might, like so many political polls, be within the boundaries of statistical noise — especially as it upped its 2023 investment in R&D to some $30B. And therein lies a cautionary tale for all CIOs.

Risk 118

Risk Risk Management Statistics Management 118

CIO Business Intelligence

AUGUST 9, 2024

Synthetic data can be generated to reflect the same statistical characteristics as real data, but without revealing personally identifiable information, thereby complying with privacy-by – design regulations and other sensitive details.

Risk 138

Risk Measurement Data Lake Data Collection 138

CIO Business Intelligence

SEPTEMBER 13, 2023

Moreover, only 54% of companies have a clear innovation strategy, according to a 2023 report on innovation from consulting firm Protiviti , with 41% still developing one and 5% having neither a strategy nor plans to create one. It is nearly impossible to separate the business strategy from the organization’s technology strategy.

IT 136

IT Digital Transformation Risk Cost-Benefit 136

CIO Business Intelligence

MAY 7, 2024

Big Data” is a critical area that runs the risk of being miscategorized as being either irrelevant — a thing of the past or lacking a worth-the-trouble upside. Evidently there is value associated with merely inserting data and analytic ambitions into the multiple strategy-making processes at work in any given enterprise.

Big Data 131

Big Data Statistics Machine Learning Data Science 131

CIO Business Intelligence

FEBRUARY 12, 2024

2 Key challenges include a shortage of talent and skills (62%), unclear investment priorities (47%), and the lack of a strategy for responsible AI (42%), BCG found. Such bleak statistics suggest that indecision around how to proceed with genAI is paralyzing organizations and preventing them from developing strategies that will unlock value.

IT 137

IT Consulting Cost-Benefit Uncertainty 137

O'Reilly on Data

MARCH 20, 2019

Like many others, I’ve known for some time that machine learning models themselves could pose security risks. An attacker could use an adversarial example attack to grant themselves a large loan or a low insurance premium or to avoid denial of parole based on a high criminal risk score. Newer types of fair and private models (e.g.,

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Rocket-Powered Data Science

JULY 14, 2023

This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. These may not be high risk. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Smart Data Collective

OCTOBER 8, 2023

It is an interdisciplinary field, combining computer science, statistics , mathematics, and business intelligence. By analyzing trends, patterns, and relationships within data, attorneys can derive insights to fortify their case strategy and enhance their legal argument. Bias Risks Another risk lies in the potential for bias.

Data Analytics 125

Data Analytics Analytics Statistics Data Collection 125

IBM Big Data Hub

MARCH 6, 2024

Recent statistics indicate a significant rise in companies adopting cloud services to meet their operational and cost saving needs. Types of cloud migration The specific strategies and scenarios for cloud adoption and migration depend on the needs of the organization and its current IT infrastructure.

Optimization 73

Optimization Strategy Cost-Benefit Testing 73

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

CIO Business Intelligence

APRIL 12, 2024

Representatives from Goldman Sachs, JP Morgan Chase, and Morgan Stanley did not immediately respond to requests for comment on their companies’ plans to implement AI or its potential to change their hiring strategies.

Experimentation 143

Experimentation Reporting Testing Statistics 143

bridgei2i

JUNE 23, 2021

In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion. They discuss the benefits of design thinking; how business partners brainstorming together improves decision-making and creates a holistic strategy.

Strategy 52

Strategy Enterprise Statistics Digital Transformation 52

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

Smart Data Collective

JUNE 8, 2023

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. We have mentioned that golf players have used data analytics to improve performance.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

Smart Data Collective

JULY 16, 2023

The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions.

ROI 97

ROI Data Analytics Analytics Risk Management 97