Delivering a high-quality customer experience on a consistent basis converts customers into enthusiastic brand advocates – people who genuinely want to tell their friends and colleagues about the experience your products and/or services deliver. And they might even post on their social media platforms, which is incredibly strong (and essentially free) marketing – boosting levels of … Read more
I was in a meeting and got a text from my daughter that she needed help with writing a challenging correspondence. I texted her back that I would call her when it was done. When I called her back, she used a Gen AI tool to write the correspondence and was impressed with how easy … Read more
Generative Artificial Intelligence (Gen AI) refers to a class of artificial intelligence that leverages deep neural networks to generate content autonomously. AI prompts refer to the intelligent cues or suggestions provided by machine learning algorithms to guide users through a specific process or help them make informed decisions. AI prompts can go beyond reactive suggestions … Read more
Multivariate testing (MVT) is a technique for testing a hypothesis in which multiple variables are modified. The goal of multivariate testing is to determine which combination of variations performs the best out of all the possible combinations. It’s more complex than A/B testing, which tests only one variable at a time. How it Works Types of Multivariate … Read more
Generative artificial intelligence (Gen AI) “tools” – like OpenAI ChatGPT, Google Gemini, or Backplain – have made it easy to write and polish emails or presentations, summarize reports, write code, create social media campaigns, and accelerate customer service interactions. To use these to their fullest potential comes down to the prompt — the questions and statements — … Read more
The Lean institute say 95% of process activities associated with manufacturing ultimately add no value to the customer and HCL Technologies say 70% of the engineering changes which delay production are due to brands trying to retrospectively correct issues with design to deal with assembly, cost & quality problems. Design for excellence (DfX) is a … Read more
Design for excellence (DfX) is a systematic and proactive approach to design that uses the knowledge and experience of experts in other parts of the product development process (test, manufacturing, operations, support, etc.) to ensure the final product can be realized at reasonably low life cycle cost while still meeting reliability, quality, durability, and customer expectation targets. DfX … Read more
Artificial Intelligence (AI) can enhance a wide range of activities and processes by improving efficiency, accuracy, and decision-making. Here’s a breakdown of how AI can contribute across various domains: Sustainability – Energy: AI can optimize energy consumption in homes, businesses, and cities by analyzing usage patterns and automating energy-efficient adjustments. – Agriculture: AI can monitor crop health, forecast weather … Read more
Artificial Intelligence (AI) plays a significant role in driving and optimizing the circular economy by enhancing sustainability and resource efficiency. The circular economy is a model focused on minimizing waste and making the most of resources by promoting reuse, recycling, and regeneration of products and materials.Here are several key areas where AI contributes to the circular economy: … Read more
An AI innovation strategy is a comprehensive approach to adopt, develop, and implement artificial intelligence (AI) technologies that drives growth, enhances competitiveness, and creates societal value. A good innovation strategy defines goals, key focus areas, risks, and how to foster the right ecosystem for success: Vision and Objectives Vision: Define the overarching purpose for adopting AI. … Read more
Hyperautomation is the expansion of automation by integrating advanced technologies like artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and other advanced tools to automate as many business processes as possible. Unlike traditional automation, which focuses on automating repetitive tasks, hyperautomation involves creating systems that can adapt, learn, and improve as they operate. Key … Read more
Robotic Process Automation (RPA) is a technology that uses software robots or “bots” to automate repetitive, rule-based tasks in financial institutions. When combined with AI, it becomes more intelligent, allowing organizations to handle complex processes that require decision-making, learning, and adapting. RPA significantly improves operational efficiency, reduces manual errors, and allows employees to focus on … Read more