Building Smart Apps for the Future

What are Smart Apps? What makes an app "Smart"? Why are they useful? What tools can I use? How do I get started?
Gave this presentation at the ISDEV Hackathon (https://isdev2017.eventbrite.com)

Transcript

1. Building Smart Apps for the Future By Femi TAIWO | @dftaiwo
3. Smart Apps for the Future ❖ What is a “Smart App”? ❖ Examples Around Us ❖ Why build Smart Apps ❖ Getting Started ❖ Conversational Experiences ❖ Resources & Tools
4. What is a “Smart App”?
5. What is a “Regular App”?
6. “Regular Apps” manage information. End of Story What is a “Regular App”?
7. ❖ Manage information ❖ Learn from information ❖ Learn from interaction ➢ User ➢ With the physical world What is a “Smart App”?
8. Provide Actionable Information ❖ Gather Tremendous Amount of Data ❖ Crunch with Machine Learning ❖ Mix with Predictive Analysis Why is it Smart?
9. ❖ Intelligent ❖ Contextual ❖ Pro-active ❖ Living & Breathing Smart Apps are -
10. Smart Apps make recommendations and predictions by combining Analytics, ML & AI Smart Apps are Intelligent
11. Relates based on any data, including - Personal - Sensor - Location data - Events Smart Apps are Contextual
12. Go to the user with smart recommendations of what to do and when, without being asked Anticipate user behaviors and deliver actionable and individualized outcomes. Smart Apps are Pro-active
13. They continually learn from interactions to become even more relevant and valuable Smart Apps Are Living & Breathing
14. Examples
15. Examples of Smart Apps ❖ Google Maps ❖ Google Photos ❖ Facebook News Feed ❖ Netflix ❖ Uber ❖ Personal Assistants
16. Why build a Smart App? Or Why make my App smart?
17. ❖ Users get a more compelling, more prescriptive user experience ❖ Support & Enable Key User/Business Decisions ❖ IoT Market To Reach $267B By 2020 Why
18. ❖ AML Pattern Detection ❖ Fraud Detection ❖ Customer Recommendations Case Study - Why for Banks
19. ❖ Predicting Customer Behaviour ❖ Product Recommendations Case Study - Why for eCommerce
20. ❖ Mining Medical Records for Better Healthcare ❖ Detecting Patterns ❖ Personalized Treatment Plans Case Study - Why for Healthcare
21. Getting Started
22. Getting Started with Building Smart Apps Start with 3 Key Questions - What is the experience you want to deliver? - What kind of data/dataset will provide the information that will drive it? - How will you deliver the information/response?
23. Conversational Experiences
24. What are “Conversational Experiences”? They give users new ways to interact with your product, service or app by building engaging voice and text-based conversational apps
25. Conversation Experiences Chatbots They use machine learning to understand what users are saying. Extracting: - Context - Entities - Intent
26. Conversation Experiences: Examples ❖ Google Assistant ❖ Kudi.ai ❖ EatDrinkLagos ❖ Lara.ng
27. Google Assistant
28. Kudi.ai
29. bot.eatdrinklagos.com
30. lara.ng
31. Tools for Building Conversational Experiences ❖ API.ai ❖ Wit.ai ❖ IBM Watson ❖ Bot Framework ❖ FlowXO
32. Free Resources & Tools
33. https://cloud.google.com/free/ - $300 credit in a 12-month free trial - Always Free Quota
34. Google Cloud Platform Products Compute Compute Engine App Engine Container Engine Container Registry Cloud Functions Networking Cloud Virtual Network Cloud Load Balancing Cloud CDN Cloud Interconnect Cloud DNS Big Data BigQuery Cloud Dataflow Cloud Dataproc Cloud Datalab Cloud Pub/Sub Genomics Storage and Databases Cloud Storage Cloud Bigtable Cloud Datastore Cloud SQL Cloud Spanner Identity & Security Cloud IAM Cloud Resource Manager Cloud Security Scanner Cloud Platform Security BeyondCorp Data Loss Prevention Identity-Aware Proxy Security Key Enforcement Persistent Disk Machine Learning Cloud Machine Learning Cloud Vision API Cloud Speech API Cloud Natural Language API Cloud Translation API Cloud Jobs API Networking
35. Key Products Cloud Natural Language API Extract information about people, places, events and much more, mentioned from text. https://cloud.google.com/natural-language/ TensorFlow Open source software library for machine learning across a range of tasks. https://www.tensorflow.org
36. Key Products Cloud Vision API Extract information from images, classifies and detects individual objects and faces within images, and finds and reads printed words contained within images. https://cloud.google.com/vision/ Cloud Machine Learning Enables you to easily build machine learning models that work on any type of data, of any size https://cloud.google.com/ml-engine/
37. Final words
38. Every application that is being developed today has to be an intelligent app; this is not a recommendation but a necessity.
39. “Within five years, all major business decisions will be enhanced by cognitive (analytic) technologies” - Ginni Rometty (CEO of IBM)
40. Building Smart Apps for the Future By Femi TAIWO | @dftaiwo