Alarms, Alerts, and Advice: Cautionary Tales for Crisis Times

This week in fraud trends, we cover new threats associated with the ongoing pandemic and a range of cautions about what to expect next.

This Week in Fraud Trends, April 3, 2020, from DataVisor.

In a chaotic world filled with new and unknown threats, we can be grateful for those individuals and organizations whose mission it is to keep us informed and educated about what to watch out for, and how to protect ourselves, our businesses, and our data.

From Dark Reading this week, we received timely advice about the increasing prevalence and threat of “bad bots”:

Bad Bots Build Presence Across the Web

Bots that mimic human behavior are driving a growing percentage of website traffic while contributing to an avalanche…

www.darkreading.com

“The Big Bad Bot Problem 2020” report is based on studies by Radware researchers, who found that 31.3% of e-commerce traffic in February was from malicious bots. Their actions are becoming more dangerous because 58.1% of the Internet bots Radware found can mimic human behavior in their attacks.

For actionable insights on addressing bot-powered e-commerce and marketplace fraud, we recommend downloading the following free asset:

DataVisor Case Studies from Ecommerce Leaders

Find out how four e-commerce leaders are fighting and winning the war against modern fraudsters, reducing cost and…

www.datavisor.com

#cybersecurity #scam #fraud #security #fraud-detection

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Alarms, Alerts, and Advice: Cautionary Tales for Crisis Times

Alarms, Alerts, and Advice: Cautionary Tales for Crisis Times

This week in fraud trends, we cover new threats associated with the ongoing pandemic and a range of cautions about what to expect next.

This Week in Fraud Trends, April 3, 2020, from DataVisor.

In a chaotic world filled with new and unknown threats, we can be grateful for those individuals and organizations whose mission it is to keep us informed and educated about what to watch out for, and how to protect ourselves, our businesses, and our data.

From Dark Reading this week, we received timely advice about the increasing prevalence and threat of “bad bots”:

Bad Bots Build Presence Across the Web

Bots that mimic human behavior are driving a growing percentage of website traffic while contributing to an avalanche…

www.darkreading.com

“The Big Bad Bot Problem 2020” report is based on studies by Radware researchers, who found that 31.3% of e-commerce traffic in February was from malicious bots. Their actions are becoming more dangerous because 58.1% of the Internet bots Radware found can mimic human behavior in their attacks.

For actionable insights on addressing bot-powered e-commerce and marketplace fraud, we recommend downloading the following free asset:

DataVisor Case Studies from Ecommerce Leaders

Find out how four e-commerce leaders are fighting and winning the war against modern fraudsters, reducing cost and…

www.datavisor.com

#cybersecurity #scam #fraud #security #fraud-detection

How to Install and Configure Chrony

It is essential to keep the correct time on a server. This is especially true when it comes to processing financial transactions or other vital functions which need to be handled in a specific order. Using the Network Time Protocol (or NTP), computers can synchronize their internal clock times with the internet standard reference clocks. In essence, NTP is a hierarchy of servers. The higher the Stratum number of a server, the more accurate the timing is and the lower the Stratum number of a server is, the lower the accuracy and time stability. Stratus are defined by the distance from the initial reference clock.

#tutorials #atomic clock #centos #chrony #clock #drift #internal time clock #network time protocol #ntp #offset #peers #pool.ntp.org #server time #stratum #system clock #time #time drift #timekeeping #ubuntu #utc

Hal  Sauer

Hal Sauer

1591688078

Python Datetime Tutorial: Manipulate Times, Dates, and Time Spans

Dealing with dates and times in Python can be a hassle. Thankfully, there’s a built-in way of making it easier: the Python datetime module.

datetime helps us identify and process time-related elements like dates, hours, minutes, seconds, days of the week, months, years, etc. It offers various services like managing time zones and daylight savings time. It can work with timestamp data. It can extract the day of the week, day of the month, and other date and time formats from strings.

#data science tutorials #calendar #date #dates #datetime #intermediate #python #time #time series #times #tutorial #tutorials

Bhakti Rane

1624531051

Alerts4Dynamics - Alerts / Notifications Management in Dynamics 365 CRM

Alerts4Dynamics is productivity app for Dynamics 365 CRM that helps to create, schedule, manage and track alerts. It helps to notify and pass relevant information to target audience right within Dynamics 365 CRM. These notifications can be created and displayed indefinitely or for a defined scheduled period. Notification button is available on all entities and can be accessed from anywhere in the CRM.
Features
• Create Announcement and Rule Based/Record Based alerts.
• Alerts can be sent as Pop-ups, Form Notifications or Email to target Dynamics 365 CRM users.
• Categorize alerts as Information, Warning or Critical.
• Track log of read/dismissed alerts by users.
• Define process start date from when the notifications will start getting created and process end date when creation of new notifications will stop. Also, add the display end date for notification.

https://www.inogic.com/product/productivity-apps/add-manage-schedule-notifications-alerts-4-dynamics-365-crm

#dynamics 365 pop-up alert #dynamics 365 email alerts #dynamics 365 bulk alerts #dynamics crm pop-up alert #dynamics 365 notifications #dynamics crm alert

Ian  Robinson

Ian Robinson

1621644000

4 Real-Time Data Analytics Predictions for 2021

Data management, analytics, data science, and real-time systems will converge this year enabling new automated and self-learning solutions for real-time business operations.

The global pandemic of 2020 has upended social behaviors and business operations. Working from home is the new normal for many, and technology has accelerated and opened new lines of business. Retail and travel have been hit hard, and tech-savvy companies are reinventing e-commerce and in-store channels to survive and thrive. In biotech, pharma, and healthcare, analytics command centers have become the center of operations, much like network operation centers in transport and logistics during pre-COVID times.

While data management and analytics have been critical to strategy and growth over the last decade, COVID-19 has propelled these functions into the center of business operations. Data science and analytics have become a focal point for business leaders to make critical decisions like how to adapt business in this new order of supply and demand and forecast what lies ahead.

In the next year, I anticipate a convergence of data, analytics, integration, and DevOps to create an environment for rapid development of AI-infused applications to address business challenges and opportunities. We will see a proliferation of API-led microservices developer environments for real-time data integration, and the emergence of data hubs as a bridge between at-rest and in-motion data assets, and event-enabled analytics with deeper collaboration between data scientists, DevOps, and ModelOps developers. From this, an ML engineer persona will emerge.

#analytics #artificial intelligence technologies #big data #big data analysis tools #from our experts #machine learning #real-time decisions #real-time analytics #real-time data #real-time data analytics