Introduction |
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The third phase in digital evolution |
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13 | (1) |
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Customers The Day After Tomorrow |
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14 | (3) |
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The structure of Customers The Day After Tomorrow |
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17 | (1) |
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17 | (2) |
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Bringing the book to life via Augmented Reality |
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19 | (3) |
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Chapter 1 Customer Experience In The Third Phase Of Digitalization |
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Success today? Process -- Measuring -- Culture |
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22 | (2) |
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Social media pushes customer experience into the boardroom |
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24 | (1) |
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The customer relationship is the TOP priority for companies |
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25 | (2) |
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The third digital wave: Connectivity, Artificial Intelligence and Automation |
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27 | (3) |
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The opening shot? DeepMind beats the Go world champion |
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30 | (2) |
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From Go to poker to dogfights to business impact |
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32 | (1) |
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From stupid to smart in five years time |
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33 | (2) |
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We are reaching the point of convergence |
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35 | (4) |
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39 | (1) |
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ISS uses algorithms for better and more efficient service |
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39 | (1) |
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Algorithms direct decisions |
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40 | (2) |
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42 | (3) |
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Process -- Measuring -- Culture is no longer enough |
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45 | (5) |
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THE DAY AFTER TOMORROW MINDSET |
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Chapter 2 From Mobile First To Ai First |
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Faster adoption and higher impact |
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50 | (1) |
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Invisible technology leads to magical experiences |
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51 | (4) |
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55 | (2) |
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AI is necessary for governments to meet their financial targets |
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57 | (2) |
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How a single self-driving car can reduce traffic jams |
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59 | (1) |
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Trust in machines > trust in people |
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60 | (2) |
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The six fields where AI will offer added value in customer relations |
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62 | (5) |
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67 | (2) |
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From supervised learning to non-supervised learning |
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69 | (1) |
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Weapons of mass influence |
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70 | (1) |
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From perception to real value |
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71 | (2) |
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Too enthusiastic or too scared |
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73 | (9) |
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Jeremiah Owyang about the evolution towards automation |
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75 | (7) |
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Chapter 3 It's Not the Technology, It's the Customer |
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It's not about the technology, it's about the customer |
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82 | (1) |
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Car central or citizen central? |
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83 | (2) |
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The explosion of expectations |
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85 | (1) |
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86 | (1) |
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The real Customer of The Day After Tomorrow |
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87 | (1) |
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An expert speaks: Joeri Van den Bergh |
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88 | (3) |
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The best service level ever |
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91 | (21) |
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1 Faster than real time: from reactive to proactive service |
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92 | (3) |
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2 Hyper-personalization: from average to individual customer |
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95 | (4) |
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3 Unparalleled ease of use (`convenience'): a world without a manual |
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99 | (13) |
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Chapter 4 The Day After Tomorrow Model |
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112 | (1) |
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113 | (3) |
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Towards the new customer relationship in The Day After Tomorrow |
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116 | (1) |
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117 | (1) |
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ThenextphaseforBooking.com |
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118 | (1) |
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Lemonade, a very tasty insurer |
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119 | (2) |
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Knab moves into the insurance world |
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121 | (1) |
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Three starting points, one philosophy |
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121 | (1) |
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Solutions to get around The Day After Tomorrow stalemate |
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122 | (1) |
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The expectation of Today versus The Day After Tomorrow |
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123 | (1) |
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124 | (1) |
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Customers The Day After Tomorrow in Efteling |
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124 | (4) |
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Four axes of investment on the road to The Day After Tomorrow |
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128 | (6) |
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THE DAY AFTER TOMORROW INVESTMENT AXES |
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The limitations of segmentation |
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134 | (1) |
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135 | (1) |
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135 | (1) |
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From security to knowledge |
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136 | (1) |
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137 | (1) |
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AIMD: the power of Youku Tudou and Alibaba |
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138 | (1) |
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One Football: Youku Tudou on a smaller scale |
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139 | (2) |
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`Our gut feeling is worthless': marketing has become a science |
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141 | (2) |
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A Fundamental shift in value creation |
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143 | (2) |
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Netflix as the king of consumer science |
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145 | (2) |
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`In God we trust; all others bring data' |
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147 | (1) |
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Planet Labs turns insurance into a science |
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147 | (2) |
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Ant Financial Services: the data lever in a classic industry |
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149 | (1) |
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Investing in the data lever |
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150 | (4) |
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Chapter 6 New User Interfaces |
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A Virtual assistant for students |
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154 | (1) |
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Social media are too slow! |
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154 | (1) |
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Real-time is the new minimum |
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155 | (1) |
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Blue is my favourite colour as well! |
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156 | (1) |
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Solving the shortage of doctors |
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157 | (1) |
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A World full of micro-bots |
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158 | (1) |
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159 | (2) |
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The evolution of interfaces |
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161 | (1) |
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162 | (1) |
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Customer-friendly mobile interfaces push satisfaction and conversion at Belfius |
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162 | (2) |
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164 | (1) |
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Buy the best cakes in San Francisco - automatically |
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165 | (1) |
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Smart contracts using Blockchain |
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166 | (1) |
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A Robot as financial adviser |
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167 | (1) |
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Vanguard grows thanks to robot advice |
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168 | (1) |
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From automated to augmented |
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168 | (2) |
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170 | (1) |
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171 | (1) |
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Towards augmented customer experience |
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171 | (2) |
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An automated world with perfect timing |
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173 | (3) |
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Chapter 7 Fighting the Commodity Magnet |
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The platform as a marker of trust |
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176 | (2) |
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178 | (1) |
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The strongest commodity magnet ever |
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179 | (2) |
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Marketing: influencing the consumer and influencing the algorithm |
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181 | (2) |
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The marketing department for The Day After Tomorrow |
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183 | (1) |
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Four strategies to beat the commodity magnet |
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184 | (7) |
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New and renewed expertise |
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191 | (3) |
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Chapter 8 Intelligence Augmented |
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Artificial intelligence is more dangerous than nuclear weapons |
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194 | (1) |
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195 | (1) |
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195 | (4) |
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Robots steal our jobs, but less quickly than we think |
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199 | (1) |
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Feeling threatened by automation? Learn new skills! |
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200 | (1) |
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Bottleneck occupations? Send in the robots! |
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201 | (2) |
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203 | (1) |
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The scaling-up of human skills |
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203 | (1) |
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The starting point: customer service |
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204 | (2) |
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Intelligence augmented in all phases of the customer experience |
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206 | (1) |
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Investing in intelligence augmented |
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207 | (1) |
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208 | (1) |
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209 | (4) |
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THE DAY AFTER TOMORROW CONSEQUENCES |
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Chapter 9 Organizational Models for the Day After Tomorrow |
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213 | (31) |
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How successful companies are preparing for The Day After Tomorrow' |
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214 | (2) |
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Patterns of The Day After Tomorrow |
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216 | (23) |
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Pattern #1 The remote silo |
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216 | (3) |
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Pattern #2 The separate entity |
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219 | (2) |
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Pattern #3 The `catapult' |
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221 | (1) |
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Pattern #4 Customer co-creation |
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222 | (2) |
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Pattern #5 The portfolio organization |
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224 | (3) |
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Pattern #6 The accelerator |
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227 | (2) |
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Pattern #7 The corporate garage |
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229 | (2) |
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Pattern #8 The network organization |
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231 | (3) |
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Pattern #9 Integral disruption |
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234 | (3) |
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Pattern #10 The pollutants strategy |
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237 | (2) |
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The Day After Tomorrow canvas |
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239 | (1) |
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240 | (1) |
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240 | (1) |
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240 | (4) |
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Chapter 10 Ethics In the Day After Tomorrow |
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Society in The Day After Tomorrow? |
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244 | (1) |
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A World of limitless ambition |
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244 | (1) |
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The greatest comeback ever! |
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245 | (1) |
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Not just ambitious billionaires |
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246 | (1) |
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246 | (2) |
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A World full of technological filters |
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248 | (1) |
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Fake news? You ain't seen nothing yet! |
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249 | (1) |
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The current privacy discussion is the wrong discussion |
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250 | (1) |
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251 | (2) |
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253 | (1) |
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How far can technology go? |
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254 | (1) |
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Towards a collaborative model? |
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255 | (1) |
Finally... Dream of the future, but use what is available today |
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256 | (1) |
Thank You! |
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257 | (2) |
Photo Credits |
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259 | (2) |
Notes |
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261 | |