In an era where Artificial Intelligence continues to reshape the business landscape, it's imperative for leaders and developers to stay abreast of the latest advancements. We are excited to announce the release of the second edition of our comprehensive guide, "Applied Artificial Intelligence: A Handbook For Business Leaders." This new edition builds upon the foundational … [Read more...] about Announcing the 2nd Edition of “Applied Artificial Intelligence: A Handbook For Business Leaders”
Applied AI
RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?
As the wave of interest in Large Language Models (LLMs) surges, many developers and organisations are busy building applications harnessing their power. However, when the pre-trained LLMs out of the box don’t perform as expected or hoped, the question on how to improve the performance of the LLM application. And eventually we get to the point of where we ask ourselves: Should … [Read more...] about RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application?
Code Smarter, Not Harder: Streamline Software Development with Generative AI
AI has played a supporting role in software development for years, primarily automating tasks like analytics, error detection, and project cost and duration forecasting. However, the emergence of generative AI has reshaped the software development landscape, driving unprecedented productivity gains. A McKinsey study reveals that developers using generative AI tools can write … [Read more...] about Code Smarter, Not Harder: Streamline Software Development with Generative AI
AI In HR: A Guide For Business And HR Leaders
76% of HR leaders believe their organizations will fall behind if they don't adopt AI solutions in the next year or two. With the rapid pace of AI innovation, we can expect AI to have a major impact on the HR role across the entire employee lifecycle. First, AI will lead to new employee expectations about how they interact with HR and HR technologies, from recruiting and … [Read more...] about AI In HR: A Guide For Business And HR Leaders
The Future of Customer Support: How AI is Boosting Capacity, Performance, and Satisfaction
Customer support has become increasingly important, with 88% of buyers saying the experience a company provides matters as much as its products or services. About 72% of customers demand immediate service and nearly 70% expect anyone they interact with to have full context. However, this level of customer care is expensive, leading business leaders to look into AI for higher … [Read more...] about The Future of Customer Support: How AI is Boosting Capacity, Performance, and Satisfaction
Beyond Conventional Tactics: How AI is Redefining Marketing and Sales
Both marketing and sales are directly responsible for generating revenue. This unique position gives the two functions significantly more power to direct investment into new projects. The need to keep up with competitors in fighting for market share means that both units are, on average, much more willing to try new tools as well, including the latest technology advances based … [Read more...] about Beyond Conventional Tactics: How AI is Redefining Marketing and Sales
Redefining Conversational AI with Large Language Models
Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption. In this article, we will use the mental model shown in Figure 1 to … [Read more...] about Redefining Conversational AI with Large Language Models
Generative vs Predictive AI: Key Differences & Real-World Applications
Generated with Bing and edited with Photoshop Predictive AI and generative AI are two powerful applications of artificial intelligence with a wide range of use cases in business and industry. Both types of AI use machine learning to learn from data, but they do so in different ways and have different capabilities. Business leaders must understand the strengths and … [Read more...] about Generative vs Predictive AI: Key Differences & Real-World Applications
Building AI Products With A Holistic Mental Model
Note: This article is the first in a series called “Dissecting AI applications”, which introduces a mental model for AI systems. The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, … [Read more...] about Building AI Products With A Holistic Mental Model
Beyond Metrics: A Hybrid Approach to LLM Performance Evaluation
Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. Also, while your base model may excel in broad metrics, general performance doesn’t guarantee optimal performance for your specific use cases. Therefore, a … [Read more...] about Beyond Metrics: A Hybrid Approach to LLM Performance Evaluation