AI Superpower for Business Advantage
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How to gain a business advantage with the AI superpower, the solution for Banking and Financial Services Industry. Giving you an edge on your competition while increasing customer retention.
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AI Superpower for Business Advantage
- 1. Agenda Deep think - Episode IV Artificial intelligence A super power for the Enterprise RAZORTHINK AI as a Business Advantage. How do we solve the problem today? Is Deep Learning the solution? What is Machine Superintelligence? Where is AI Going? Deep Think – Episode 4
- 2. Follow Along with the Full Presentation Here: AI Super Hero Video
- 3. Today in Business, We Need a Superhero Remembers everything Understands why things are happening Accurately predicts what is going to happen Out smarts the competition Wins over customers
- 4. Our Super Heroes as Kids
- 5. Professor X
- 6. Company Brain From Science Fiction Superintelligence to Business Fact The New Superpower
- 7. How do we get an unfair advantage in Business?
- 9. 14 Million Photos 2,000 Categories Mite Mite Black widow Cockroach Starfish Tick Container ship Container ship Lifeboat Amphibian Drilling platform Fireboat Motor scooter Motor scooter Go-kart Moped Golf cart Bumper car Leopard Leopard Jaguar cheetah Egyptian cat Snow leopard The Data Science Superhero Imagenet Challenge
- 10. Deep Learning Rules Neural Nets: Rapid Progress in Image Recognition Team Year Place Error (top-5) MAXscore (Pre-Neural Net Explosion) 2010 1st 56% XRCE 2011 1st 25.8% Supervision (AlexNet) 2012 1st 16.4% Clarifai 2013 1st 11.7% GoogLeNet (Inception) 2014 N/A 6.66% Andrej Karpathy (Human) 2014 N/A 5.1% BN-Inception (Arxiv) 2015 N/A 4.9% Inception-v3 (Arxiv) 2015 N/A 3.46%
- 11. Imagenet - You Play! Agaric Mushroom Jelly fungus Dead-man’s-fingers Gill fungus Dog with Tennis ball Tennis ball Dragon fruit Wool yarn Balloon Squirrel monkey Madagascar Cat Titi Howler monkey Indri Grille pickup Police van Fire engine Convertible
- 12. Banking Trends for 2016 Churn 15% GOOD Bad Acquisition 13.5% Loyal customers spend more on higher margin products 5X more to acquire new then to retain and existing one Lose a large commercial customer could cost an LTV of $509K 5% reduction in churn could increase net profits as much of 70% 2016 Treasury Strategies Benchmarking Database
- 13. Banks Need a Superpower
- 14. Banks Need a Superpower
- 15. Churn 15%
- 16. Churn
- 17. Churn – by Behavior Pattern
- 18. Churn – Churn by Target effected Not effected churn Not churn
- 19. Churn Conundrum Unknown Unknown 70%20%10% Known Known Known Unknown
- 20. How do we solve the problem today?
- 21. The Evolution of AI 40,000 30,000 20,000 10,000 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Algorithmic AI Machine Learning
- 22. Human’s Identify Features Data Scientist No longer direct deposit Low balances Missing payments Not saving as usual
- 25. Non-linear Pro
- 26. The Evolution of AI 40,000 30,000 20,000 10,000 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Algorithmic AI Machine Learning Deep Learning
- 27. Neural Network Input OutputHidden A three-layer, feed-forward network
- 29. So…Is Deep Learning Our Super power?
- 30. Data Scientist Can Do This:
- 31. A Data Scientist Can’t Do This 100s of Million Rows 1000s of Parameters 20 Deep Learning Models 140 Machine Learning Models High Performance Computing Multiple Languages Model Parallelization Inconsistent Data
- 32. Massive Amounts of Data Millions, Billions, Trillions of rows data
- 33. Convolution Networks Normalization Pooling Normalization Pooling Normalization Pooling Selecting the Architecture
- 34. Many Exotic Architectures LS TM RB M Deep Q Network Hierarchical Temporal Multi Layer Kernel Machine GA N Convolution Networks Auto Encoder Neural Turing Spike and Slab Tensor Deep StackLAMSTAR Neural History Compressor RN TN FC N Deep Belief Normalization Pooling Normalization Pooling Normalization Pooling
- 35. Tuning Hyper Parameters Cost function DropoutLearning RateActivation Gradient ClippingMomentumMax WeightRegularization Normalization Pooling Normalization Pooling Normalization Pooling
- 39. We need something more powerful!
- 40. The Evolution of AI 40,000 30,000 20,000 10,000 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Algorithmic AI Machine Learning Deep Learning Machine Super Intelligence
- 41. Very Complex & Exotic AlgorithmsMaxPool 3x3+2(s) LocalRespNorm Conv 1x1+1 (v) SoftmaxActivation Conv 1x1+1(v) Conv 3x3+1(s) LocalRespNorm DepthConcat DepthConcat DepthConcat DepthConcat DepthConcat DepthConcat DepthConcat DepthConcat DepthConcat SoftmaxActivation Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (s) MaxPool 3x3+1(s) MaxPool 3x3+2(s) MaxPool 3x3+2(s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (s) MaxPool 3x3+1(s) AveragePool 5x5+3(v) Conv 1x1+1 (s) FC FC Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (s) MaxPool 3x3+1(s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (s) MaxPool 3x3+1(s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (s) MaxPool 3x3+1(s) MaxPool 3x3+2(s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (s) MaxPool 3x3+1(s) FC AveragePool 7x7+1(v) Input softmax0 softmax2 Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (s) MaxPool 3x3+1(s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (v) MaxPool 3x3+1(s) SoftmaxActivation Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 1x1+1 (s) Conv 3x3+1 (s) Conv 5x5+1 (s) Conv 1x1+1 (s) MaxPool 3x3+1(s) AveragePool 5x5+3(v) Conv 1x1+1 (s) FC FC softmax1
- 43. AI Today – Human Driven AI Neural Network ModelHuman Data Scientist Future of AI – The AI Data Scientist
- 44. Future of AI – The AI Data Scientist Neural Network Model Ai data scientist Intelligent Refinement Intelligent Encoding Model Selection Hyper Parameter Tuning Cluster Design Data Parallelization Model Parallelization Automatic Deployment Makes sense out of the data Finds very complex patterns Provides super human insights
- 45. Gartner Says More Than 40 Percent of Data Science Will Be Automated by 2020 What are the Analysts Saying?
- 46. ` Collaborative AI and Adversarial AI Team of Brains competing Future of AI – AI ARmies
- 47. Alpha Go Policy networkDetermines most promising moves Value network Narrows initial search depth of moves
- 48. Alpha Go:
- 49. Alpha Go:
- 52. CEO Tom Cedric NameNameName Risk AIFraud AI Churn AI Our Future Companies:
- 53. Who is going to have AI? Competitor Bad guy customer
- 56. Melanocytic benign Epidermal malignant Melanocytic malignant Epidermal benign Basal cell carcinomas Squamous cell carcinomas melanomas Nevi Seborrheic keratosis Cancer Detection The CNN outperformed two dozen veteran dermatologists in deciding whether a lesion needed further medical attention
- 58. Moore’s Law Moore’s Law The number of transistors per square inch on integrated circuits had doubled every year since their invention.
- 59. Porter’s Law Porter’s Law AI is going to affect your business twice as much as you think it going to. Even when you consider this law!
- 60. New Superhero Learn about AI Train your team Identify key areas where AI will be a Super Power Conduct a Proof of Concept Be in the first wave to leverage AI Insert your face here
- 61. Download the Full Video Presentation Here: AI Super Hero Video
Editor's Notes
- Good Afternoon I see some Familiar Faces Previous Events Today we talking about In Business World Today Facing Massive Problems To be Successful
- CENTER STAGE
- Business Magazine Trade Press Amazing Results
- STAGE LEFT Back in time Results
- Human is 7%
- STAGE RIGHT Interesting things going on... Good Bad
- DOWN STAGE LEFT Faced with all kinds of problems
- Unpack it
- UP STAGE LEFT
- Down Stage Right
- UP STAGE RIGHT Let's take a Detailed look at Machine Learning
- CENTER STAGE Bad Incident Great Marketing Campaign Life Stage
- UP STAGE LEFT Technology that was a New Spin on an Old Technology
- Indicative
- CENTER STAGE
- Scale the solution we hit major problems
- DOWN STAGE LEFT
- UP STAGE LEFT
- DOWN STAGE CENTER
- But the big thing we did
- STAGE RIGHT
- STAGE RIGHT Retired
- STAGE LEFT
- CENTER STAGE