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Within mid-sized companies, AI is no longer a promise, but a strategic decision. The challenge now lies in prioritizing use cases, managing risks, and repositioning the CIO at the center of value creation.

39 seconds. That’s the timelapse between two consecutive cyber-attacks as of 2023. To relieve the cybersecurity teams in their investigative effort and help them focus on more added-value tasks, machine learning approaches and methods started to emerge.

The development of machine learning models that process large amounts of data greatly improves the performance of predictions.

This article outlines the key challenges and provides concrete strategic recommendations, particularly around centralizing customer data through a Customer Data Platform (CDP), aligning teams around a data-driven culture, investing in data science and AI strategy, and adopting a pragmatic approach to experimentation and impact measurement.

The key words around the concept of product-oriented organisation require a specific glossary (such as marketing, sales, production, etc.). By focusing their efforts on products, and if several conditions are met, companies can improve coordination, stimulate innovation and enrich the customer experience.

Unless you've spent the year on a desert island, you've heard of Chat GPT, Dall-E, LLM and AI Generative. Perhaps you use them every day. Maybe your CEO asks you every day about their impact.

Since the Ford Model T, and the famous quote “you can have any color, as long as it’s black,” companies have learned to satisfy customers’ growing desire for customization and for products that stand apart from those of their neighbors.

Discover how voicebots are reshaping the insurance industry, transforming customer service and redefining operational roles. Explore the impact of AI on customer satisfaction through a deep dive into the voice revolution.