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What is a phishing simulation?

IBM Big Data Hub

A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack. 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

Testing 80
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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. Uncertainty is a measure of our confidence in the predictions made by a system.

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MNIST Expanded: 50,000 New Samples Added

Domino Data Lab

Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples. Did they overfit the test set?

Testing 83
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Cyber Fraud Statistics & Preventions to Prevent Data Breaches in 2021

Smart Data Collective

In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. In the following section, we take a deep dive into the key trends that you should be aware of and the prevention measures to keep them at bay. Data breaches and security risks happen all the time.

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Some highlights from 2020

Data Science and Beyond

The Australian bushfires of 2019-20 provided me with extra motivation to help nudge Automattic to do more in the fight against climate change. The initial covid-19 lockdown provided me with extra free time to make the measurement and offsetting of Automattic’s emissions from data centre power use happen.

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How to build a decision tree model in IBM Db2

IBM Big Data Hub

Creating train/test partitions of the dataset Before collecting deeper insights into the data, I’ll divide this dataset into train and test partitions using Db2’s RANDOM_SAMPLING SP. outtable=FLIGHT.FLIGHTS_TRAIN, by=FLIGHTSTATUS') Copy the remaining records to a test PARTITION. Create a TRAIN partition.

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How Alation & Snowflake Integrate the Cloud Data Management Capabilities Framework (CDMC)

Alation

The Data Management Capability Assessment Method (DCAM) framework is used to pressure-test data management procedures and demonstrate good practices to regulators. Before the announcement, the working group needed a test case that proved these controls could be implemented; this is where Snowflake and KPMG stepped in.