Today, enterprises are focused on enhancing decision-making with the power of AI and machine learning (ML). But the complexity of ML models and data science techniques often leaves behind organizations without data scientists or with limited data science resources. And for those organizations with strong data analyst resources, complex ML models and frameworks may seem overwhelming, potentially preventing them from driving faster, higher-quality insights.

Let's talk about something that might not be your favorite topic but is super important: data privacy and security. Now, I know it might sound like just another box to tick off, but hear me out. Ignoring data privacy in today's digital world is like forgetting to lock your doors in a busy neighborhood. Not the best idea, right? We previously discussed the importance of data privacy in analytics, let’s now look at the implications of lack thereof.

In many state and local government organizations, contract management is a manual process that is often cumbersome to oversee. Employees often feel overwhelmed trying to track deliverables and payments and ensure compliance. Manual contract management leads to delays and inefficiencies in procurement processes, resulting in missed opportunities to identify and acquire the right products or services at the best possible cost, which wastes taxpayer dollars.

They say a picture is worth a thousand words. The partnership between SAP and Tricentis makes Tricentis the go-to platform for SAP testing, and this image from a Tricentis Roadshow session with Marc Thier, SVP Application Lifecycle Management at SAP, sums it up quite nicely: SAP loves Tricentis! Since the partnership was established in 2020, hundreds of global enterprises using SAP solutions have adopted Tricentis testing applications to help accelerate and de-risk their business transformations.

In this age of AI, the demand for real-time data integration is greater than ever. For many, these data pipelines should no longer be configured and deployed by centralized teams, but distributed, so that each owner creates their flows independently. But how to simplify this, whilst practicing good software and data governance? We are introducing Lenses 5.5.

Testing Pull Requests (PRs) in software development offers numerous advantages. It fosters collaboration among team members, minimizes errors, provides valuable learning opportunities, promotes transparency, and facilitates the onboarding process for new developers. Encouraging Collaboration: PRs promote open discussions regarding code changes, enabling developers to provide feedback, propose enhancements, and seek clarification before integrating new code.