General-purpose coding models perform well on languages that are well-represented on the public internet. They fail predictably on proprietary or domain-specific languages: hallucinated identifiers, wrong call shapes, and confident reproduction of deprecated patterns. MOCA, the scripting language inside Blue Yonder’s Warehouse Management System, is one of those failure cases, the entire ecosystem (grammar, command catalog,

For the past couple of years, we’ve seen a massive push toward Specialized LLMs. The argument seems intuitive: if you need legal expertise, use a legal model. If you need medical expertise, use a medical model. Why rely on a “general” model when you can have one trained specifically for the task at hand? In

There is a growing debate in AI governance that is often framed as a dispute over “safeguards,” “alignment,” or “responsible AI.” A recent flashpoint involves models developed by Anthropic (notably Claude) and the U.S. Department of Defense, but the disagreement is deeper than any single vendor or contract. At its core, the debate is not

It’s 2024, and staying ahead in digital marketing means adopting cutting-edge technologies. One such technology that has been making waves in the marketing industry and probably no one in the corporate sector is unaware of is artificial intelligence (AI). From personalized customer experiences to data-driven decision-making, AI in digital marketing is transforming how campaigns are

In an era dominated by the digital dissemination of information, the concept of ‘fake news’ has been a consistent concern. Coupled with the rapidly advancing realm of AI, an issue emerges in the form of confusion, distrust, and the opportunity to claim AI as a defense. According to NewsGuard, an organization that tracks misinformation, they have so far

Artificial intelligence (AI) is transforming how industries around the world work, including packaged applications. As AI continues to spread, businesses using systems like SAP, Oracle, and Blue Yonder are facing both opportunities and challenges in integrating AI solutions into their operations. In this blog post, we will explore the role of AI in Packaged Applications,

A Game Changer for Modern Development  The software landscape is ever evolving, demanding faster development cycles and impeccable quality. In this dynamic environment, traditional manual testing methods often struggle to keep pace. Enter automation a transformative force revolutionizing the realm of software quality assurance (QA).  The Need for Automation Manual testing, while crucial, has inherent

Imagine a world where computers not only process information but understand our complex, messy, and beautiful language. Where machines converse with us, analyze our emotions, and even write poetry that touches our souls. This isn’t science fiction; it’s the reality we’re shaping with Natural Language Processing (NLP).  NLP  Natural Language Processing (NLP) stands at the

Introduction In the fast-paced world of Information Technology, software innovation is the driving force behind transformative changes. As we step into 2024, a myriad of emerging software technologies is reshaping the way we develop, deploy, and interact with applications. This blog post explores some of the most impactful IT software trends that are set to

In today’s digital era, machine learning has become an integral part of many applications, enabling them to offer intelligent and interactive experiences. However, implementing machine learning capabilities into mobile apps can be a daunting task for developers with limited knowledge of machine learning or data science. That’s where ML Kit comes to the rescue. ML

Just a few years ago, you might have had doubts about whether the rise of AI was just a passing trend. However, recent developments, including the emergence of generative AI tools like ChatGPT, have made it clear that we are entering a new era. This era is expected to bring about changes to our lives

Artificial Intelligence (AI) refers to machines that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. It involves using algorithms and machine learning models to analyze large amounts of data and learn from patterns in that data. Artificial Intelligence (AI) is a rapidly evolving technology that has the potential to change the way we live and work. AI involves using computer algorithms and systems to simulate human intelligence, including

Generally, recognition is identifying a person or a thing by past experience and knowledge. Pattern recognition is a branch of machine learning that focuses on recognizing patterns and regularities in data [1]. Its aim is the classification of objects into categories or classes. It is an important part of most intelligence systems built for decision-making [2]. There are different

What is Technical Support? A consulting and troubleshooting service provided by a manufacturer, usually a software or hardware developer, to its customers, usually online or by other means of communication. Why Technical Support? With so much going on, it`s easy for managers to forget how much technical support helps companies grow.  Without the support and

Artificial intelligence (AI) is defined as a machine’s ability to get knowledge autonomously to learn from experiences and then act on that knowledge. These machines, like humans, can process the latest information and adapt to changing conditions. There is no doubt that AI is a transformative technology. But the benefits of AI are not limited

In this post, I would like to talk about automated site collection and Teams (Microsoft Teams) provisioning in Microsoft 365. We had to provide a Self-Service site and Team creation for one of the clients instead of depending on Admins and at the same time without compromising governance. For this, we have introduced Admin approvals.