Systems | Development | Analytics | API | Testing

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The Rise of AI in FP&A: How insightsoftware Empowers Your Team

Despite the transformative potential of AI, many financial planning and analysis (FP&A) teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.

Testing and Debugging in Django: Advanced Techniques and Tools

Django is one of the leading Python frameworks used to create full-stack web applications. In this comprehensive guide, you will explore the intricacies of testing and debugging within the Django framework, focusing on advanced methodologies and essential tools. Beginning with the fundamentals of Django unit and integration testing, you will delve into advanced techniques such as mocking, testing middleware, and profiling for optimal performance.

How much is the cost to develop a flutter app?

When it comes to developing cross-platform apps, Flutter is one of the top choices that comes to developers' minds. But, what’s the reason behind it? Thanks to the innovative cross-platform development capabilities offered by the Flutter framework, creating native applications for both Android and iOS platforms has become remarkably simple.

Event-Driven Microservices in Banking and Fraud Detection | Designing Event-Driven Microservices

How do we know whether Event-Driven Microservices are the right solution? This is the question that Tributary Bank faced when they looked at modernizing their old fraud-detection system. They were faced with many challenges, including scalability, reliability, and security. Some members of their team felt that switching to an event-driven microservice architecture would be the magic bullet that would solve all of their problems. But is there any such thing as a magic bullet? Let's take a look at the types of decisions Tributary Bank had to make as they started down this path.

Discover Financial Services Automates Data Ingestion for Real-Time Decision-Making at Scale

Making operational decisions in a tight timeframe is critical to the success of an organization. Real-time data ingestion enables quicker data availability, in turn enabling timely decision-making. Real-time ingestion is foundational to our digital transformation at Discover Financial Services. As a senior manager leading the streaming and real-time data platforms at Discover, I don’t want to be in the data replication business manually.

S1.E3: How to fit testing into DevOps? | QA Therapy Podcast

If you’re struggling to integrate testing seamlessly into your pipeline, join us in this enlightening episode as we delve into the world of testing within DevOps with our esteemed guest, Lisa Crispin, our very own QA Therapist! Lisa, a prominent figure in the testing community and an avid advocate for Agile and DevOps practices, shares her wealth of knowledge and insights.

Using Dependency Injection in Elixir

While controversial in functional programming, dependency injection can be a useful pattern in Elixir for managing dependencies and improving testability. In this, the first part of a two-part series, we will cover the basic concepts, core principles, and types of dependency injection. We'll explore its benefits in terms of modularity, testability, and maintainability. Then, we will look into a specific scenario where dependency injection can be beneficial, in this case, testing.

Fast-Track to Data Insights: Deliver Impactful Salesforce Sales Metrics to the Databricks Gold Layer

Join Kelly Kohlleffel from Fivetran in this demonstration that moves and transforms raw Salesforce data into impactful sales metrics in the Databricks Data Intelligence Platform. Learn how to set up a Salesforce to Databricks connector with Fivetran’s fully automated and fully managed data movement platform. Then watch how the new dataset in Databricks is automatically transformed from the Databricks bronze layer to the gold layer—making it analytics-ready and data product-ready in minutes.