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The Agile Product Manager works closely with the engineering and technical teams working with in an agile framework such as scrum. The adoption of an agile methodology means that new features will get delivered incrementally every 30, 20 or even 10 days. This is great news for the product owner who sees the product developed and released incrementally ( with in a matter of weeks as opposed to months) and gives them the ability to change priority and the features depending on the demands of the m
Technology companies often go through good and bad times and even through the good times there will be situations which seek to hinder the personnel performance of Product Managers and Technologists. On occasions there will be situations and decisions that run against the grain of your feelings and the path you’ve laid out for yourself. Company issues: recruitment- either you can not hire the right staff, sudden change in direction that takes you unaware, technical environments not functioning a
I worked for a company where in the morning I was booked on a flight to troubleshot issues at a customers site in Switzerland at Midday it had changed to Germany and by the time I went home I was booked on a flight (for the next day) to Florida. That’s agile customer care for you. The ethos of the company was to adapt your schedules to meet the customers' need.
We’ve all attended training session which were death by power point. There was little interaction from the attendees and the trainer seemed determined to get through everyone of his/her dozen or so bullet points that appeared on the numerous amount of slides that they had. I attended a six day 1st line management training course sometime ago – and was dreading the thought of having to sit through a zillion power point slides and hearing the droning of some poor trainers voice for a the rest of t
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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