Thursday, May 18, 2023

OLA and SLA

 OLA stands for Operational Level Agreement, while SLA stands for Service Level Agreement. Here's a clear and simple example to differentiate between the two:

The SLA outlines the service quality and performance targets from the customer's perspective, while the OLA defines the internal processes and responsibilities within the service provider organization to meet those targets.

Let's consider a scenario where you are a customer using a ride-hailing service like Uber or Lyft.

SLA (Service Level Agreement): The SLA is an agreement between the customer and the service provider that outlines the overall service quality and performance expectations. It defines the measurable targets and metrics that the service provider should meet. For example, the SLA may specify that the average response time for a ride request should be less than 5 minutes, or that the driver cancellation rate should be below 10%. If the service provider consistently fails to meet these targets, they would be in violation of the SLA, and there may be penalties or compensations defined in the agreement.

OLA (Operational Level Agreement): The OLA, on the other hand, focuses on the internal processes and coordination between different teams or departments within the service provider organization. It defines the responsibilities and expectations among the teams involved in delivering the service. In the context of the ride-hailing service, an OLA could specify the response time targets for the customer support team, the maintenance schedule for the vehicles, or the coordination between the dispatch team and the drivers. OLAs are not directly visible to the customers but play a crucial role in ensuring smooth operations and service delivery.


Friday, May 05, 2023

Introduction to AI

Three common uses of AI

1. Autonomous cars

2. Content recommendation

3. Image and video processing

Some keywords

a. Sentiment analysis

b. Neural networks

c. Reinforcement learning

d. Deep learning

Monday, April 17, 2023

Industry Testing

The goal of industry testing is to ensure that the software or systems being tested meet the specific needs and requirements of the industry in which they will be used, and are reliable and efficient in performing their intended functions.

In the context of IT testing, industry testing refers to the process of testing software or systems to ensure that they meet the quality standards and requirements of the industry in which they will be used.

For example, if a software system is designed to be used in the healthcare industry, industry testing would involve ensuring that the system meets the regulatory requirements and standards of the healthcare industry, such as HIPAA compliance, patient data privacy, and security protocols.

Industry testing may also involve testing the software or systems for specific functionalities and features that are relevant to the industry, such as interoperability with other systems commonly used in the industry, scalability, and performance.


Thursday, April 13, 2023

If we already have automation, what's the need for Agents?

“Automation” and “agent” sound similar — but they solve very different classes of problems. Automation = Fixed Instruction → Fixed Outcome ...