New Digital, Seven suggestions to guide advertising in the right direction

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Helge Tennø

Seven suggestions to what's changed and what's important in digital / marketing / advertising.

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New Digital, Seven suggestions to guide advertising in the right direction

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I gave this talk at WebVisions 09. May 21 2009. DESCRIPTION "Any sufficiently advanced technology is indistinguishable from magic." -Arthur C. Clarke, "Profiles of the Future", 1961 (Clarke's third law) At most companies, designers and engineers live in completely different worlds. For many designers the work of engineering is indistinguishable from magic. This unfortunately makes creating a finely crafted user experience much harder than it should be. Not knowing what is possible or proposing the impossible both hinder the synergy between design and engineering. Understanding the interface engineer's bag of tricks can go a long way to closing the gap between these two worlds. What is now possible in the browser? And what is still hard to do? In this session, Bill will focus specifically on the challenges and the opportunities for DHTML-based web sites and applications. Drawing from 25 years of experience in designing and engineering interface solutions as well as leading design and engineering organizations, Bill will provide a set of guiding principles as well as concrete, real world examples of what is now possible and what is still hard to do given the current technology landscape.

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I work with input variables - figuring out and finding the data and insight that goes into an organization in order to make it successful. Working with these problems I am sensing a gap - between what we want our organizations to become and what we put into our organization to get there. The premise is that our imagination is limited by the tools we use to understand the world around us. And that we are using old models to collect our data - and because we are using old models and methods we are only picking our data from the same pools of experience and information as we have done for decades past - serving us the same perspective of the world as we are used to seeing. The future is not directly in font of us - it’s outside. And so looking in the same direction only further, or in the same places only deeper, won’t help us listen to the right data in order to navigate towards where we are going. In this talk I shed light on this problem, that I am working on, probing and playing with. And I also try to explain why this is an important issue to solve right now - because of the changes in both the business models and practices that create wealth and customers behavioral patterns.

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Data informs the mental models by which we manage our organizations and make decisions. Big space data, computer vision and machine learning creates a new generation of data and gives companies a completely new framework for understanding their world. Solving the short comings of todays rude, inefficient and static data. Are we ready to be rewired and reprogrammed? This is my presentation at SpacePort Norway in Stavanger on the 20th of June 2017. It is similar in content to my talk in Skellefteå published just a few days ago but tailored to a different crowd.

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Each technological age has been marked by a shift in how the industrial platform enables companies to rethink their business processes and create wealth. In the talk I argue that we are limiting our view of what this next industrial/digital age can offer because of how we read, measure and through that perceive the world (how we cherry pick data). Companies are locked in metrics and quantitative measures, data that can fit into a spreadsheet. And by that they see the digital transformation merely as an efficiency tool to the fossil fuel age. But we need to stretch further…

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Innovations don’t work when they are made with the company in mind - and go on to be launched into a market that is neither interested or finds it meaningful. Advertising and design is then added in order to capture peoples motivation and imagination. But why are we doing it this way round? Why don’t we turn the process on its head and start by figuring out what people find meaningful in the first place.

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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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