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Why Better AI Models Don't Always Lead to Better Business Outcomes

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  Introduction Every few months, a new AI model emerges that can do what the previous generation could not. It can handle longer documents, answer more complex questions, write better code, or process information faster. Technology executives operate under the assumption that better models lead to better business outcomes. It is not always the case.   An organization might be equipped with such a highly skilled model but still not manage to extract value from it. And it may not even be about the model itself. It may be related to the fact that data is  disperse d among different systems. Th e employees may find it difficult to  use  the model's output. Some critical business processes may still be carried out using Excel and manual approvals. That is how many enterprise AI implementations fail to deliver results. A Better Model Doesn't Fix a Broken Process Consider a customer service team handling a growing number of requests. The team uses a CRM, a billing ...

The Engineering Challenge Behind Better Patient Experiences

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  Introduction Any healthcare executive will tell you that the current expectations of patients include quick appointments , good communication , short wait times, and convenience in obtaining health services. Patients do not realize the role of technology that operates behind each patient interaction. Scheduling an appointment , filling out registration forms, processing insurance data, accessing patient medical records, retrieving test results, or even paying for healthcare are activities performed using various software systems that communicate with each other. If poor communication between those systems hinders this process, humans intervene to overcome these hurdles. The same information is filled out several times, appointments get delayed, and the number of administrative processes keeps increasing. In many cases, modernizing patient experience in expanding healthcare organizations means enhancing communication between existing systems rather than introducing another so...

The Missing Link Between Project Execution and Profitability

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  Introduction Construction firms devote much effort toward improving estimation, cost control, and scheduling. This is important, but it does not necessarily ensure good financial results. A project may be finished on time ,be of good quality , and fulfill customer expectations, yet bring margins below the expected levels. It is not because something was wrong with construction. It is because something went wrong with project information after construction. Throughout the process, project information is shared among the field teams, project managers, operations, and accounting. Daily reports, approvals, labor hours, equipment utilization rates, photos of construction sites, and other project information help shape their financial performance. If this information flows smoothly, decisions can be made , and control can be exercised more efficiently. If not, visibility will be impaired, decisions will get delayed, and profitability will be hard to ensure. This link is often unde...