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. Currency amounts reported in Taiwan dollars. Sensitivity analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

FineReport

FEBRUARY 25, 2020

Traditional paper and pen registrations have the risk of contracting viruses with each other, and managers can’t view the entry and exit records in real time. Note: All the mobile forms in this article were made with the BI reporting & dashboard software FineReport. Top 10 Free and Open Source Reporting Tools in 2020.

Data Collection 96

Data Collection IT Dashboards Reporting 96

Smart Data Collective

DECEMBER 18, 2020

However, Search Engine Journal reports that the issue isn’t directly the fault of any frailty within Google Analytics itself, rather it exploits the trusted status given to the analytics engine by all browsers in order to steal information from hacked sites by utilizing Google Analytics as a middleman for transferring that data.

Analytics 82

Analytics Broadcasting Measurement Data Processing 82

FineReport

FEBRUARY 25, 2020

Traditional paper and pen registrations have the risk of contracting viruses with each other, and managers can’t view the entry and exit records in real time. Note: All the mobile forms in this article were made with the BI reporting & dashboard software FineReport. Top 10 Free and Open Source Reporting Tools in 2020.

Data Collection 59

Data Collection IT Dashboards Reporting 59

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., Reflections. Code-first data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. ” The Atlantic – Workers Love AirPods Because Employers Stole Their Walls , Amanda Mull, April 2019. For example in 20 Risks that Beset Data Programmes. . [7].

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

CDW Research Hub

JUNE 5, 2019

Varonis compiled 60 cybersecurity statistics to give you a better idea of the current cybersecurity state, and we’ve broken out five key facts to help you rethink your data security program. Check out Varonis’ full list of 60 Must-Know Cybersecurity Statistics for 2019. Show Me the Money. Risky Business.

Statistics 72

Statistics Risk Management Finance Risk 72

DataKitchen

OCTOBER 5, 2022

Observability also validates that your data transformations, models, and reports are performing as expected. Through the yelling, he learns that a compliance report, sent to critical business partners, was empty! A survey of data engineers conducted by DataKitchen in 2022 revealed some shocking statistics. his boss’s boss?and

Testing 169

Testing Risk Data Processing Statistics 169

Jet Global

APRIL 27, 2023

Tax teams of multinational enterprises (MNEs) in the manufacturing industry face increasing challenges to manage business and market risks effectively. These changes create an ever-increasing demand on manufacturing tax departments to report on cross-border situations and transactions.

Manufacturing 52

Manufacturing Marketing Reporting Risk 52

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. In 2019, Netflix alone released 371 new TV shows and movies. and even set their risk tolerance.

Risk 67

Risk ROI Modeling Metrics 67

DataKitchen

OCTOBER 5, 2022

Observability also validates that your data transformations, models, and reports are performing as expected. Through the yelling, he learns that a compliance report, sent to critical business partners, was empty! A survey of data engineers conducted by DataKitchen in 2022 revealed some shocking statistics. his boss’s boss?and

Testing 130

Testing Risk Data Processing Statistics 130

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. And we can keep repeating this approach, relying on intuition and luck.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

APRIL 7, 2022

The number of people quitting their jobs has been unprecedented throughout the pandemic, hitting a record high of 48 million people in 2020, up from 42 million in 2019, which was the previous record high. KPMG calculates a score for an employee’s risk of attrition, tries to identify a reason for that, and then suggests a remediation.

Consulting 145

Consulting Management Interactive Metadata 145

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. The probabilistic nature changes the risks and process required. They tend to use less machine learning, but more advanced statistical practices, since the outcomes (government policies, etc.) machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Sisense

JUNE 30, 2020

The primary objective of data visualization is to clearly communicate what the data says, help explain trends and statistics, and show patterns that would otherwise be impossible to see. Her debut novel, The Book of Jeremiah , was published in 2019. Visual analytics and data visualizations in action.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019).

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Smart Data Collective

OCTOBER 14, 2019

In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. When Google talked about releasing this tool in its blog, the brand pointed out that if you don’t protect user data, you risk losing people’s trust. Kubernetes.

Data Science 67

Data Science Machine Learning Big Data Interactive 67

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Smart Data Collective

JUNE 26, 2019

Or, dark data could open your company to regulatory risks if you cannot retrieve requested information during an audit. Instead of being overly concerned about the business investment required for that software, think of the risks to your company if you continue to ignore your unclassified data and the blind spots it causes.

ROI 102

ROI Statistics Machine Learning Measurement 102

O'Reilly on Data

MAY 21, 2019

Sometime in Q3/Q4 of 2019, specialized hardware for training deep learning models will become available. The technologies I’ve alluded to above—data governance, data lineage, model governance—are all going to be useful for helping manage these risks. There are real, not just theoretical, risks and considerations.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. But what are “trends”? Enough preliminaries.

Machine Learning 363

Machine Learning Software Testing Technology 363

datapine

DECEMBER 4, 2019

Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company. As we mentioned in our business intelligence buzzwords article for 2019 , mobile usage is becoming an increasing factor in BI.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. Some data is more a risk than valuable. Does this promote efficiency? Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52