Razorfish Global Tech Summit 2015 - Ray Velez, Welcome
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Razorfish Global Tech Summit 2015 - Ray Velez, Welcome
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Razorfish Global Tech Summit 2015 - Ray Velez, Welcome
- 2. Welcome Everybody Ray Velez Chief Technology Officer, Razorfish Global
- 3. “Everything that can be digital will be.” Razorfish, 1995
- 5. “Everything can be digital.” Razorfish, 2015
- 6. Why?
- 7. 340,282,366,920,938,000,000,000,000,000,000,000,000 “50 billion devices online by 2020” Cisco Systems
- 8. “Software is eating the world.” – Marc Andreessen, 2011
- 11. Pace of Change The Singularity is Near
- 13. Watson Wins!
- 14. You are here We were here
- 15. You are here We were here
- 16. How important is it that brands provide a product or service that feels like it was made just for you?
- 18. Finding Patterns – Need More Data
- 21. AI is the New UI
- 23. How Do Keep Pace with the Machines
- 25. Agenda - Morning 8:00am-9:00am Breakfast & Check-In 9:00am-9:30am Introduction by Ray Velez | Chief Technology Officer Razorfish Global 9:30am-10:00am Session 1 - Piers Fawkes | Founder and President, PSFK "New Rules of Loyalty, from Rewards to Relationships" 10:00am-10:30am Session 2 - Dr. Steven Abrams | Director, Watson Life, IBM "Watson: Partners Transforming Industries with Cognitive Computing” 10:30am-11:00am Break sponsored by Rackspace 11:00am – 11:30am Session 3 - Eric Campdoras | Creative Technology Director, Razorfish Global & Christopher Follett | Executive Creative Director, Razorfish Global "The Third Channel" 11:30am – 12:00pm Session 4 - David Iudica | Director of Strategic Insights & Research, Yahoo "Planning for the Smartphone Dominance Era" 12:00pm – 1:00pm Lunch sponsored by Amazon Web Services
- 26. Agenda - Afternoon 1:00pm-1:30pm Session 5 - Andrew McAfee | Principal Research Scientist, MIT Sloan School of Management and Co-founder of MIT's Initiative on the Digital Economy "The Second Machine Age" 1:30pm-2:00pm Session 6 - Scott Amyx | Founder and CEO, Amyx+McKinsey "The 10x Potential of Wearables and IoT to Transform Digital Marketing" 2:00pm-2:30pm Session 7 - David Nuescheler | VP, Enterprise Technology, Adobe Systems Inc. “Technology Paradigm Shifts” 2:30pm-3:00pm Session 8 - Emerging Experiences Steven Dawson | VP, Technology, Emerging Experiences, Razorfish Luke Hamilton | Global VP, Creative, Emerging Experiences, Razorfish Chuck Fletcher | Technology Director, Emerging Experiences, Razorfish Kat McCluskey | Art Director, Emerging Experiences, Razorfish Justin Hendrix (Moderator) | Executive Director, NYC Media Lab "Activating Immersive Brand Experiences Using Augmented Reality and Virtual Reality" 3:00pm-3:30pm Break sponsored by Rackspace
- 27. Agenda - Afternoon 3:30pm-4:15pm Session 9 - Samih Fadli & NEXUS | Chief Intelligence Officer, Razorfish Global Tom Kotlarek | EVP, Technology, Razorfish Global Dmitri Tchikatilov | Global Business Development, Digital Advertising, Amazon Web Services "NEXUS Customer Intelligence Marketing Operating System (MOS)" 4:15pm-4:45pm Session 10 - Shiv Singh | SVP Global Head of Digital and Marketing Transformation, Visa “5 Ideas for Marketing Transformation in the Digital Era” 4:45pm-5:15pm Session 11 - Hilary Mason | Founder and CEO, Fast Forward Labs "Innovating Through Data" 5:15pm-5:30pm Ray Velez | Chief Technology Officer Wrap up 5:30pm-7:00pm Cocktails
- 28. Workshops WORKSHOP #1 Using Crowdsourcing for Rapid Prototyping and Innovative Application Development Clinton Bonner, Director, Crowdsourcing Strategy at Appirio WORKSHOP #2 How to Create a Cloud Optimized Architecture with AWS Martin Jacobs, GVP, Technology at Razorfish WORKSHOP #3 Scrum for Teams John Ewen, SVP, Delivery Management at Razorfish WORKSHOP #4 Shredding the Wireframe with Rapid UX Prototyping Kyle Outlaw, Group Director, Experience at Razorfish Wendy Lau, Senior Presentation Layer Architect at Razorfish WORKSHOP #5 Implementing a Continuous Inspection Process Rich Minns, GVP Technology at Razorfish Technology Platforms David Jockin, Technology Director at Razorfish Technology Platforms Phuong-Nam To, VP, Technology at Razorfish Technology Platforms
- 29. Connect “Razorfish Global Tech Summit 2015” Order a coffee Live stream on YouTube rfish.us/1Kmvfdd #rftech @razorfish @rvelez
- 30. The Lab
Editor's Notes
- Software Enabled through data Machine learning cognitive Andy and other presenters
- 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
- And yes, the aliens are coming, right after we Nuke mars.
- 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
- Example: 5 MB IBM computer in 1956 (below) vs. a 2 TB thumb drive that fits in our pocket…
- In 2011
- 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
- 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
- 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?
- 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
- 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
- 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.
- 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.
- 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“
- 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.
- 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.
- 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
- 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
- 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