Recently Published
AI Symphony in Airline Enterprises
5 mn read Good old-fashioned AI (or what is now called Traditional AI) is deterministic in nature, while Generative AI is more probabilistic. Traditional AI relies on explicit rules, logic, and predefined algorithms. Given the same input and conditions, it will always produce the same output. This predictability ensures transparent behavior and decision-making processes. Generative AI, on the […]
GenAI Adoption – Challenges in Manufacturing Enterprise
3 mn read While discussions have been ongoing regarding the use of fine-tuned Large Language Models (LLMs) for specific enterprise needs, the high cost associated with cloud-based LLMs, including subscription fees and API usage charges, is becoming increasingly evident. This cost barrier has been a major hurdle for many enterprises seeking to transition GenAI-powered solutions from pilot programs […]
Gen AI adoption: Is your budget ready?
3 mn read As the adoption of Generative AI in the enterprise accelerates, one question that will be on Management’s mind: “What does AI cost?” The answer, like most things in business, is nuanced: it depends on the specific needs of the enterprise. For a rough estimates, you can look at comparable businesses. For example, small enterprises with […]
The ‘Ops’ in the GenAI World
5 mn read The world of AI and its operational cousins can feel like an alphabet soup: AIOps, MLOps, DataOps, and now, GenAIOps. The key lies in understanding their distinct roles and how they can collaborate to deliver full potential of your Gen AI adoption and data investments. Definitions AIOps, which stands for Artificial Intelligence for IT Operations, […]
Ethics at the Forefront: Navigating the Path at frontier of Artificial General Intelligence
3 mn read While we may want to cautiously avoid the term Artificial General Intelligence (AGI) today, it is evident from the general capabilities of the systems currently in place that we are either close to, or perhaps already have, some form of AGI in operation. In this scenario, it is crucial that AI ethics take center stage […]
AI – Standards, Guidelines, Frameworks – an Overview
5 mn read With the release of ISO/IEC 42001:2023, there has been a noticeable excitement regarding the establishment of a management system designed to effectively oversee the implementation of AI and its associated applications. It is also known that prior to release this management system there were quite a few standards, Guidelines, technical papers were released in last […]
AI Symphony in Airline Enterprises
5 mn read Good old-fashioned AI (or what is now called Traditional AI) is deterministic in nature, while Generative AI is more probabilistic. Traditional AI relies on explicit rules, logic, and predefined algorithms. Given the same input and conditions, it will always produce the same output. This predictability ensures transparent behavior and decision-making processes. Generative AI, on the […]
GenAI Adoption – Challenges in Manufacturing Enterprise
3 mn read While discussions have been ongoing regarding the use of fine-tuned Large Language Models (LLMs) for specific enterprise needs, the high cost associated with cloud-based LLMs, including subscription fees and API usage charges, is becoming increasingly evident. This cost barrier has been a major hurdle for many enterprises seeking to transition GenAI-powered solutions from pilot programs […]
Gen AI adoption: Is your budget ready?
3 mn read As the adoption of Generative AI in the enterprise accelerates, one question that will be on Management’s mind: “What does AI cost?” The answer, like most things in business, is nuanced: it depends on the specific needs of the enterprise. For a rough estimates, you can look at comparable businesses. For example, small enterprises with […]
The ‘Ops’ in the GenAI World
5 mn read The world of AI and its operational cousins can feel like an alphabet soup: AIOps, MLOps, DataOps, and now, GenAIOps. The key lies in understanding their distinct roles and how they can collaborate to deliver full potential of your Gen AI adoption and data investments. Definitions AIOps, which stands for Artificial Intelligence for IT Operations, […]
Ethics at the Forefront: Navigating the Path at frontier of Artificial General Intelligence
3 mn read While we may want to cautiously avoid the term Artificial General Intelligence (AGI) today, it is evident from the general capabilities of the systems currently in place that we are either close to, or perhaps already have, some form of AGI in operation. In this scenario, it is crucial that AI ethics take center stage […]
AI – Standards, Guidelines, Frameworks – an Overview
5 mn read With the release of ISO/IEC 42001:2023, there has been a noticeable excitement regarding the establishment of a management system designed to effectively oversee the implementation of AI and its associated applications. It is also known that prior to release this management system there were quite a few standards, Guidelines, technical papers were released in last […]