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Outfittery's mission is to provide relevant fashion to men. In the past it was our stylists that put together the best outfits for our customers. But since about a year ago we started to rely more on intelligent algorithms to augment our human experts. This transition to become a data driven company has left its marks on our IT landscape: In the beginning we just did simple A/B tests. Then we wanted to use more complex logic so we added a generic data enrichment layer. Later we also provided easy configurability to steer processes. And this in turn enabled us to orchestrate our machine learning algorithms as self contained Docker containers within a Kubernetes cluster. All in all it's a nice setup that we are pretty happy with. It then really took us some time to realise that we actually had built a delivery platform to deliver just any pure function that our data scientists come up with - directly into our microservice landscape. We just now started to use it that way; we just put their R&D experiments directly into production... :-) This talk will guide you through this journey, explain how this platform is built, and what we do with it.
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https://www.productmanagementtoday.com/frs/26795801/the-path-to-product-excellence--avoiding-common-pitfalls-and-enhancing-communication In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights. Through compelling storytelling and actionable insights, learn to overcome challenges like misaligned objectives, communication breakdowns, and resistance to change. Takeaways: • Uncover and navigate through common pitfalls that are plaguing product teams today. • Explore proven solutions, laying the groundwork for triumphant product launches. • Gain inspiration from real-world success examples from top digital companies, offering invaluable insights into their winning strategies. • Discover how the symbiotic relationship between product managers, UX/UI designers, and developers can transform pitfalls into opportunities, propelling your product outcomes to unprecedented heights.
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Insurance IoT is a social good! Because: 🔵 Expected losses can be reduced structured programs with both real-time mitigation actions to solve a specific situation, and behavioral change mechanisms to promote safer behaviors (both in personal and commercial lines) 🔵 Rate can be matched to risks better: - Smaller and more accurate pricing clusters allow a large part of profiles to receive a lower rate - Even with the ability to price the individual probability of loss (cluster of one) the insurance foundation isn’t canceled (The risk of each policy will contribute to the expected losses of the portfolio; The premiums paid by many lucky policyholders will be used to pay the claims of the few unlucky policyholders who had an accident in a period of coverage) 🔵 IoT data can be used to increase the effectiveness and efficiency of the claim process, so improving the combined ratio ceteris paribus ⏩ Large part of the policyholders will pay less (and portfolios currently difficult to insure will become more insurable) Insurance IoT (and telematics) is not about providing a discount Insurance IoT (and telematics) is about creating economic value using the data and sharing part of this value with policyholders (and agents & brokers) An integrated holistic adoption of the IoT paradigm is a game changer for your insurance business and a social good: ◾ it allows to improve the availability and affordability of insurance coverages ◾while allowing the sector to write a profitable business Below you can enjoy a selection of best practices in both personal and commercial lines - written with some of the IoT Insurance Observatory members - that have already started to obtain results from their IoT business transformation journeys
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Insurers' journeys to build a mastery in the IoT usage
Sobresalen Deck
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The Problem
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The Problem
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The Problem
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The Problem
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The Problem
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The Problem
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The Problem
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The Problem
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The Problem
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The Problem
-Hard to get good designers -Unstandarized project options -Not always trusty
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The Solution
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The Solution
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The Solution
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The Solution
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The Solution
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The Solution
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-Lot of trusty
options! -Fast selection, save time -Easy to manage, standarized -More competence (Real prices) The Solution
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The Market Source: Internetworldstats.com
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The Market 247 Millions
Internet Users 230 Millions Internet Users 2.15 MM Freelancers (43%) 0.3 MM Freelancers (6%) Source: Internetworldstats.com
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The Opportunity
Source: Wichlance.com
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The Opportunity
Source: Wichlance.com
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The Opportunity
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The Opportunity
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The Opportunity
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The Opportunity
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The Team
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Questions?
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