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It's Midnight. Do You Know Which AI/ML Uses Cases Are Producing ROI?

In one of our recent blog posts, about six key predictions for Enterprise AI in 2024, we noted that while businesses will know which use cases they want to test, they likely won’t know which ones will deliver ROI against their AI and ML investments. That’s problematic, because in our first survey this year, we found that 57% of respondents’ boards expect a double-digit increase in revenue from AI/ML investments in the coming fiscal year, while 37% expect a single-digit increase.

Top 7 Free Apache Kafka Tutorials and Courses for Beginners in 2023

Stepping into the world of Apache Kafka® can feel a bit daunting at first. I know this firsthand—while I have a background in real-time messaging systems, shifting into Kafka’s terminology and concepts seemed dense and complex. There’s a wealth of information out there, and it’s sometimes difficult to find the best (and, ideally, free) resources.

Exploring Swift Collections: In-Depth Guide to Arrays, Sets, and Dictionaries

In Swift there are 3 primary types of collections to store your data in a structured way, namely: In this article we aim to give you an overview of each. Specifically we want to show how they’re declared, illustrate the most common operations of each, provide comparisons between them where applicable and highlight the various performance considerations.

Unlocking the Power of LLMs | From Introduction to Enterprise Deployment #ai #llm

In today's rapidly evolving digital landscape, Large Language Models (LLMs) and Generative AI are emerging as transformative tools for enterprises. These innovations are not only changing how we interact with data but are also reshaping the very fabric of business operations. Unlike other public LLMs, what happens in your organization stays in your organization. But with great power comes great responsibility—and the need for in-depth understanding.

Testing Strategies for Generative AI Applications | Sumit Mundhada | #TestFlix 2023 #GenerativeAI

In this enlightening session, Sumit Mundhada explores the dynamic landscape of Generative AI applications, a powerful technology with immense potential across various business domains. With the rise of Largest Language Models (LLM), numerous innovative applications are emerging, presenting both opportunities and challenges. As businesses embrace this cutting-edge technology, it becomes imperative to understand the development process and implement effective testing strategies to ensure accuracy and an optimal customer experience.

Swift Closures Explained: A Comprehensive Guide for iOS Developers

Closures provide a powerful, flexible way for iOS developers to define and use functions in Swift, replacing the blocks used in its predecessor Objective-C. They provide self-contained modules of functionality that you can move around in your code, similar to the lambdas found in other programming languages. Crucially, closures can capture and store references to any constants and variables from the context in which they’re defined.

Shaping the Future of Ruby and Kafka Together with rdkafka-ruby

Hello there! My name is Maciej Mensfeld, and some of you might recognize me from my involvement in RubyGems Security, OSS commitments, or perhaps from Karafka: a multi-threaded, efficient Kafka processing framework tailored for Ruby and Rails. While I generally pen my thoughts on my personal blog, today's post is unique. This article results from a collaborative effort with the brilliant people over at AppSignal. To set the record straight, I don't work for AppSignal.

API Generation vs. ELT/ETL | Key Differences

Organizations often grapple with the choice between two distinct but equally vital technologies: API generation and ELT (Extract, Load, Transform) solutions. While both serve as essential tools, they stand at opposite ends of the data management spectrum. API generation focuses on facilitating real-time data access and dynamic communication between software applications, whereas ELT specializes in the consolidation, transformation, and preparation of data for analytics.