Razorfish Global Tech Summit 2015 - Ray Velez, Welcome

Editor's Notes

• #2: Software Enabled through data Machine learning cognitive Andy and other presenters
• #10: Uber is worth $52 billion. Airbnb has had a 90% growth rate to its valuation and now is valued more that mariott or starwood. Facebook is now valued higher than GE and walmart. Customer experience matters and experience is a business driver and the core differentiator for the modern customer. CX has evolved far beyond just design – it is more advanced and mature and comprehensive. So what do we think is necessary for a brand to make CX a business driver and differentiator? SEE NEXT SLIDE
• #11: And yes, the aliens are coming, right after we Nuke mars.
• #12: Ray Kurzweil from MIT has pulled together an amazing set of equations showing that the pace of change is moving at a pace never seen before in the history of man These stats are important to help us recognize the pace of change is changing. Why is that important? Because we need to keep pace with the change and accept that things happen faster. People adopt technologies faster Cloud technologies enable us to build applications faster Most importantly we learn faster
• #13: Example: 5 MB IBM computer in 1956 (below) vs. a 2 TB thumb drive that fits in our pocket…
• #14: In 2011
• #15: We said this years ago, but nothing happened. That was the peak of expectations. But now, we are crawling out of the trough of disillusionment, there is hope
• #16: We said this years ago, but nothing happened. That was the peak of expectations. But now, we are crawling out of the trough of disillusionment, there is hope
• #17: But the rich amazing technology takes us back to the basic truth, customers are at the center and rich technologies are driving that expectation. RV / And crucially, customers want a relationship with brands that feels more personal. Here are some figures from that same study I mentioned earlier - we asked the question to our respondents, how important is it that brands provide a product or service that feels like it was made just for you? And you can see that nearly two thirds of respondents across categories wanted just this. It’s a challenge, but the solution, we believe, is in data. Now I know there’s been a lot of talk about data, but what’s crucial is realising that data is how we LISTEN to our customers. Customers don’t expect us to run a focus group or fill out a survey to tell us what they want, they expect us to remember what they purchased last or when they visit our website or when they walk past our store. All of these are data points that technologies like Google Now are using to set consumers’ expectations. Data gives us that roadmap on how we reach out customers on a one to one basis. WS / How about we go to our virtual panel Ray and see what they think about this?
• #18: From Microsoft Azure and Amazon Web Services are empowering us more than ever to drive experiences like google now and siri on your web experience https://www.coursera.org/course/rprog
• #19: From Microsoft Azure and Amazon Web Services are empowering us more than ever to drive experiences like google now and siri on your web experience A bit on how machine learning enables us to predict the right message at the right time
• #20: This was built in 4 hours. Images from Watson’s API, Microsoft LUIS, show how old are you.net? … Face recognition: This technology automatically recognizes faces in photos, groups faces that look alike and verifies whether two faces are the same. It can be used for things like easily recognizing which users are in certain photos and allowing a user to log in using face authentication. It’s the same technology that is behind this fun new website that guesses how old a person looks based on a photograph. Speech processing: This technology can recognize speech and translate it into text, and vice versa. A developer might use it for hands-free tools such as the ability to dictate text or to have an automated voice read out instructions or other necessary functions Visual tools: This service can analyze visual content to look for things like inappropriate content or a dominant color scheme. It also can detect and understand text in photos, such as a team name, and can sort photos by content, such as pictures of beaches, animals or food. Finally, it can automatically edit photos down to a recognizable and useful thumbnail for easy scanning. Language Understanding Intelligent Service (LUIS): This service, currently offered as an invite-only beta, enables applications to understand what users mean when they say or type something using natural, everyday language. Using machine learning, in which systems get better at predicting what the user wants based on experience, it then figures out what people want the app to do.
• #21: RV / One of my favorite thoughts on this subject is from MIT’s David Rose, who in his book 'Beautiful Objects' describes a ‘world in which we are all staring at screens’ as his ‘biggest nightmare’. And I couldn’t agree more; we love to talk about ‘ubiquitous technology’, but technology isn’t truly ubiquitous until it weaves seamlessly into our lives… which I don’t think it currently does through screens.
• #22: Today you see and hear that from You will see this from our EE team’s Razorshop and Scott Amyx’s Emotional Responsive Physical Experiences AI is the new UI Our partners at Watson, AWS, and Microsoft are making this possible for us and we are building the experiences to match You will see that today with our 3rd Channel Assistive Sales platform Siri and similar services like Google Now and Microsoft Cortana. But it tackles a broader range of tasks, at least as Facebook describes it. You can ask M questions along the lines of Can you make me dinner reservations? or even Can you help me plan my next vacation?—and it will comply. http://www.wired.com/2015/08/how-facebook-m-works/ says Alex Lebrun, the founder of Wit.ai, a startup Facebook acquired to help build this smartphone tool. “But the AI is supervised by the people.” conditional random fields” and “maximum entropy classifiers“
• #23: Siri, Google Now, or Cortana Such neural nets have already proven enormously effective in identifying images, recognizing speech, targeting ads, even teaching robots to screw on bottle caps.
• #25: http://www.bbc.com/news/technology-34175290 http://www.bbc.com/news/technology-34175290 So, how do we need to adapt, this is a great image from a recent artcle with Andy and Erik, talking about what we need to do to keep pace with the empowerement of our capabitilies with these technologies. The reality is that our jobs are training, but we don’t know what that means yet. Our client from Mondelez said that might be the most important thing that is that our jobs are changing and we don’t know what that means yet. That might be the most important thing we need to get comfortable.
• #26: Technology is still improving exponentially, which means a heck of a lot faster than yetserday Andy McAfee is going to show it’s impact on how we work, our organizations, and life in general
• #27: Technology is still improving exponentially, which means a heck of a lot faster than yetserday Andy McAfee is going to show it’s impact on how we work, our organizations, and life in general
• #28: Technology is still improving exponentially, which means a heck of a lot faster than yetserday Andy McAfee is going to show it’s impact on how we work, our organizations, and life in general