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

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Those cutting-edge ideas are also attractive, both to managers who don’t understand the risks and to developers who want to try something that’s really challenging.

Management 363

Management Machine Learning Experimentation Metrics 363

Smart Data Collective

JUNE 10, 2019

You won’t be able to analyze it or get any meaningful statistics or reports out of it. The post Log Analytics Practices That DevOps Experts Must Embrace In 2019 appeared first on SmartData Collective. While log data is valuable , it is very hard to extract that value if there isn’t some kind of structure to the data.

Analytics 85

Analytics Strategy Statistics Data Processing 85

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. It provides the occasion for deeper exploration of which inputs that can be influenced and which risks can be proactively managed. The alternative we use is the forecast triangulation framework described above.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

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.

Statistics 111

Statistics ROI Machine Learning Measurement 111

CIO Business Intelligence

AUGUST 23, 2024

As cyber threats become more sophisticated, educational institutions are compelled to provide their students with the skills necessary to navigate and mitigate these risks effectively. In 2019, CSU partnered with INE Security to integrate the Junior Penetration Tester (eJPT) certification into its curriculum.

Testing 111

Testing Statistics Risk Data-driven 111

DataKitchen

OCTOBER 5, 2022

A 2019 DataKitchen/Eckerson survey found that 79% of companies have more than three data-related errors in their pipelines per month. A survey of data engineers conducted by DataKitchen in 2022 revealed some shocking statistics. Why has the company never addressed this kind of risk? Crisis happens, errors are inevitable.

Testing 169

Testing Risk Data Processing Statistics 169

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. O’Reilly Ideas (2019). DZone (2018).

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Smart Data Collective

SEPTEMBER 25, 2019

However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. Time to Take Action.

Technology 102

Technology Statistics Strategy Insurance 102

Smart Data Collective

NOVEMBER 25, 2021

College students are often believed to be least at risk, because they are more tech-savvy and presumably know how to stop data breaches. Since they use the Internet a lot more than their older peers, they might actually be at an even higher risk. First of all, let’s look into some statistics. What Research Shows.

Big Data 122

Big Data Risk Data-driven ROI 122

Smart Data Collective

APRIL 13, 2021

After a marginal increase in 2015, another steep rise happened in 2016 through 2017 before the volume decreased in 2018 and rose in 2019, and dropped again in 2020. They can use AI and data-driven cybersecurity technology to address these risks. By 2012, there was a marginal increase, then the numbers rose steeply in 2014. In summary.

Testing 131

Testing Behavioral Analytics Data-driven Big Data 131

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

DataKitchen

OCTOBER 5, 2022

A 2019 DataKitchen/Eckerson survey found that 79% of companies have more than three data-related errors in their pipelines per month. A survey of data engineers conducted by DataKitchen in 2022 revealed some shocking statistics. Why has the company never addressed this kind of risk? Crisis happens, errors are inevitable.

Testing 130

Testing Risk Data Processing Statistics 130

DataRobot

AUGUST 5, 2021

In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. The good news was the software posed less risk to privacy than suspected. There’s a saying, “If you can’t say something nice, don’t say anything at all.” ” AI Doomsaying.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

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

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 Interactive Management Metadata 145

Smart Data Collective

AUGUST 8, 2019

FireEye claims that email is the launchpad for more than 90 percent of cyber attacks, while a multitude of other statistics confirm that email is the preferred vector for criminals. That being said, people are increasingly aware of things like phishing attacks and most people know that email links and attachments could pose a risk.

Big Data 108

Big Data Machine Learning Data Processing Predictive Analytics 108

Smart Data Collective

DECEMBER 18, 2020

According to Infosec statistics , cyber-attacks resulting in over $1 million in reported losses has risen exponentially over the past five years – with over 100 cases reported in both of 2018 and 2019. Image: Infosec ). Be sure to caution employees about visiting hazardous websites while on the company’s server.

Analytics 118

Analytics Broadcasting Measurement Data Processing 118

Smart Data Collective

JUNE 3, 2019

They show statistics that 2.5 Essentially, the lender is assessing the risk of giving you this requested money. This isn’t always a risk that a bank is willing to take on. Each lender has their own limitations when it comes to the risk that they are willing to take on. Equity Amount.

Big Data 84

Big Data Unstructured Data Cost-Benefit Machine Learning 84

CIO Business Intelligence

MARCH 15, 2022

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 For example, in 2019, Norway’s Labour and Welfare Administration created a synthetic version of its entire population. Organizations can do something similar by using synthetic data.

Strategy 145

Strategy Testing Sales Modeling 145

Smart Data Collective

JUNE 15, 2022

trillion in 2019? Statistics such as average time on page, bounce rate, conversion rate, and others may be used to perfect your website and make changes to make it more appealing to visitors. Retailers who want to prosper in the future months and even years can’t risk making choices without using data.

Advertising 111

Advertising Sales Cost-Benefit ROI 111

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. 2019’s Best Excel Reporting Tool that Reaches Far beyond Excel. During this virus crisis, personnel access restrictions have been adopted in various areas. Supplies usage.

Data Collection 96

Data Collection IT Dashboards Reporting 96

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 93

Data Science Machine Learning Big Data Interactive 93

CIO Business Intelligence

NOVEMBER 29, 2023

Prepping for success By focusing on training and certifying learners in valuable, in-demand skills, Per Scholas aims to be a “pathway to a thriving wage,” says Wayne Wilson, director of business solutions at the nonprofit, who graduated from Per Scholas’ software engineering program in 2019 before going on to work for the organization.

IT 105

IT Software Technology Cost-Benefit 105

IBM Big Data Hub

JANUARY 25, 2024

trillion, up from USD 864 billion in 2019 to 2020. Considering that IDC surveyed 37% of companies that manage spare parts inventory by using spreadsheets, email, shared folders or an uncertain approach, it becomes evident that this practice carries more risk than it might seem. Now, consider the just-in-case approach.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

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.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Octopai

JANUARY 25, 2021

The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA). million Americans experiencing compromised personal data in 2019, compliance is key.

Insurance 52

Insurance Metadata Statistics Reporting 52

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

IBM Big Data Hub

AUGUST 9, 2023

Why phishing simulations are important Recent statistics show phishing threats continue to rise. Since 2019, the number of phishing attacks has grown by 150% percent per year— with the Anti-Phishing Working Group (APWG) reporting an all-time high for phishing in 2022 , logging more than 4.7 million phishing sites.

Testing 73

Testing Measurement Behavioral Analytics Reporting 73

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

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. In our case, it turns out that the monotonicity regularizer allows us to increase the number of knots without incurring much risk of overfitting there are fewer ways for the model to go wrong. linear regression, trees) can be too rigid in their functional forms.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Cloudera

SEPTEMBER 15, 2022

Mark: Yes, another concept gaining traction with data leaders is the data mesh, which was introduced by Zhamak Dehghani in 2019 as an approach to address the challenges when deploying data programs. Distribution monitors the statistical characteristics of the data resource, which is an excellent linkage with data quality. .

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

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. For your tax team to be agile, you’ll need to optimize tax technology and processes so you can both spot data insights and mitigate risk.

Manufacturing 52

Manufacturing Marketing Reporting Risk 52

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

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 Data Science Consulting 55

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. 2019’s Best Excel Reporting Tool that Reaches Far beyond Excel. During this virus crisis, personnel access restrictions have been adopted in various areas. Supplies usage.

Data Collection 59

Data Collection IT Dashboards Reporting 59

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