I’m staff ML engineer , I am working in cyber security domain . Our product is b2b , and there are lot of Ml challenges . Primary is find potential use case where ML uniquely can solve the problem . Second is validate your solution as its b2b , we have limited number of users & getting feedback is difficult . In cyber security domain false positive & false negatives both are costly , so need to tune algo according to each customer . We have followed augmented AI approach rather than fully automated so that customer can understand why some activity is suspicious and he can take action if it’s genuine .
In the last two weeks I am working on new product , I can’t able to come up with ML use case which can convince my Manger . I am exploring on competitor products to get more exposure now .
Salt_Meat2979 t1_iu8glb0 wrote
Reply to [D] What are the bottlenecks in your ML project lifecycle? What tools would you like to see more widely used? by Fine-Topic-6127
I’m staff ML engineer , I am working in cyber security domain . Our product is b2b , and there are lot of Ml challenges . Primary is find potential use case where ML uniquely can solve the problem . Second is validate your solution as its b2b , we have limited number of users & getting feedback is difficult . In cyber security domain false positive & false negatives both are costly , so need to tune algo according to each customer . We have followed augmented AI approach rather than fully automated so that customer can understand why some activity is suspicious and he can take action if it’s genuine .
In the last two weeks I am working on new product , I can’t able to come up with ML use case which can convince my Manger . I am exploring on competitor products to get more exposure now .