Following up on an earlier blog post where we discussed what is product lifecycle management for semiconductors, in this blog we will delve deeper into the challenges that PLM presents for a semiconductor design environment. Although PLM tools have seen some success in industries such as defense, automobile, aerospace, and others with large design teams and well-established methodologies, the adoption rate in the semiconductor space has been slow.

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.

We are thrilled to be once again recognized as a Leader in the 2021 Gartner Magic Quadrant for Full Lifecycle API Management. We believe this recognition reinforces our commitment to our customers, who rely on us to continue innovating so they can build solutions that unlock growth, security and innovation for their companies. Kong is the most adopted API gateway, with over 2.6M instances running worldwide.

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.

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.

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.

Today's apps provide users with convenience and flexibility. Even the way we handle finances and financial transactions is improved and expanded using top financial APIs.

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.

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.