Systems | Development | Analytics | API | Testing

EP 12: Welcome to the Fifth Industrial Revolution

On this episode of The AI Forecast, Mike Walsh talks us through what he calls the fifth and latest industrial revolution - and that’s AI. Mike is a futurist and expert in disruptive technologies. He’s a best-selling author, host of the Between Worlds podcast, and CEO of Tomorrow – a global consultancy helping organizations adapt to the challenges of the digital age.

The Role of AI in Penetration Testing

Penetration testing is like a virtual security guard for your organization’s cybersecurity. It detects vulnerabilities before malicious attackers can exploit them. Traditionally, this process relied on skilled professionals manually probing systems for weak spots. However, with the rapid evolution of technology and the surge in cyber threats, the need for smarter, faster, and more adaptive testing methods has never been clearer.

The Ultimate Guide to DevOps Outsourcing: Benefits, Challenges, and Best Practices

DevOps outsourcing has emerged as a strategic approach for many organizations. Enterprises of all sizes increasingly rely on external DevOps experts to enhance operational efficiency, cut costs, and speed up their time-to-market. This shift is crucial as companies face increasing pressure to meet the demand for more agile, efficient, and scalable software delivery processes. ‍ The move toward outsourcing DevOps services will expand significantly in 2025 and beyond.

Real-time API observability: Using Moesif and Heroku Together

Heroku provides a robust platform to deploy and scale your applications. However, inherent complexities within your app’s performance and user interaction remain obscured. Your app may be encountering errors and performance bottlenecks. Moreover, a lack of API analytics and API observability impedes your ability to truly grow your product. With Moesif, you can easily gain that visibility into your APIs on Heroku. It integrates with your Heroku app as an add-on in two simple steps.

Spark NZ Sets Secure, Governed Data Foundations For The Era Of AI

Over the past few years, Spark New Zealand has tackled the challenge of creating a strong data foundation by moving all of its data warehouses into Snowflake to create a centralised data platform. Now, explains Pritha Chattopadhyay, Domain Chapter Lead at Spark, this telecommunications leader and digital services provider is diving into artificial intelligence with the help of Snowflake Cortex AI. Tune in to learn about the benefits it provides.

Your AI Project Has a Data Liberation Problem

Generative AI has the potential to add up to $4.4 trillion annually to the global economy. But most organizations won’t see that value—not because of their models or infrastructure, but because of their data. Despite years of investment in data lakes, warehouses, and analytics tools, organizations are drowning in complexity. Data is scattered across siloed systems, riddled with duplication, and locked behind outdated batch processes.

An Introduction to Flask-SQLAlchemy in Python

Efficient management of database interactions is one of the most important tasks when building Python web applications. SQLAlchemy — a comprehensive SQL toolkit and Object-Relational Mapping (ORM) library — is widely used in the Python ecosystem for this purpose. However, integrating SQLAlchemy with Flask can be a complex process. So developers created Flask-SQLAlchemy to provide a seamless way to use SQLAlchemy in Flask applications, making database management a straightforward process.