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That's a Wrap! What You Missed at Kong Summit 2021

So many announcements, so many surprises and a seemingly never-ending list of impactful customer stories! After two and a half days packed with fun and learning, we bid farewell to Kong Summit for another year. If you were one of the almost 5,000 people that registered, you know exactly what we are talking about. Here is a recap of some of the most exciting parts of Kong Summit 2021.

IP Security Vulnerability Detection

The severity and ingenuity of cyberattacks continues to increase as malicious actors become more proficient, breaking through the software layers and aiming to also compromise hardware like integrated circuits. Relative to software, it is much more difficult to patch security vulnerabilities in ICs – making early identification of IP security weaknesses increasingly important.

Of Low-code, Digital Trust, and Staying Ahead of the Risk Curve, Part 2

Business process automation shifted into high gear during the COVID-19 crisis, making technologies such as low-code platforms, AI, and robotic process automation (RPA) critical success factors for any organization in the decade ahead. The same is true for the insurance industry where many companies are leaning into hyperautomation to streamline operations and take friction out of the customer journey as well. But pivoting from paper to digital isn’t easy.

How Xplenty Helps Employers Keep Track of Time

Up to 20% of all employees in the United States are regularly late for work, costing organizations like yours billions of dollars a year. The solution? Timesheets, which monitor employee hours, tardiness, performance, and absenteeism. These documents also collect valuable data for payroll, accounting, billing, and project management. So they're critical for human resource teams everywhere. But there's a problem or two.

Building Machine Learning Pipelines with Real-Time Feature Engineering

Real-time feature engineering is valuable for a variety of use cases, from service personalization to trade optimization to operational efficiency. It can also be helpful for risk mitigation through fraud prediction, by enabling data scientists and ML engineers to harness real-time data, perform complex calculations in real time and make fast decisions based on fresh data, for example to predict credit card fraud before it occurs.

Migrate to CDP Private Cloud Base - A Step by Step Guide

Our recent blog discussed the four paths to get from legacy platforms to CDP Private Cloud Base. In this blog and accompanying video, we will deep dive into the mechanics of running an in-place upgrade from CDH5 or CDH6 to CDP Private Cloud Base. The overall upgrade follows a seven-step process illustrated below. In the video below we walk through a complete end to end upgrade of CDH to CDP Private Cloud Base.

The alternative app store opportunity for Android developers

Apple and Google’s dominance over mobile app stores has never seemed less certain, and there are many signs that new payment methods and alternative app stores might become the norm. They aren’t exactly new, though. What are alternative app stores? What opportunities do they provide? And why aren’t developers publishing there en masse, today?

What types of test cases should be automated for efficient cross-browser testing?

Today, according to w3c, the most frequently used browsers are Chrome, Edge, Firefox, Safari & Opera. It is always advisable to run cross-browser test cases at least on these. However, the process of analyzing and selecting the thousands of device, OS, and browser combinations requires time, expertise, and effort too. Additionally, deciding which cross-browser test cases are ideal for automation requires proper analysis and expertise. Let us explore a few of such cases in this article.

Testsigma as a mobile testing tool - how can it help me achieve ROI faster?

Let’s start this post with a situation. An organization working in the logistic business has started to gather positive reviews and millions of users are now opting for their services through their mobile app. In other words, the organization is scaling very fast. Even though they were managing quite well with manual testers and in-house test automation setup, they know this arrangement cannot work for long. They are smart people.