Our co-founder and CTO, Murray Cantor Ph.D, gave an introductory presentation on the history of Artificial Intelligence (AI). In the presentation he explains what AI means for business today.
Call Girls In Attibele ☎ 7737669865 🥵 Book Your One night Stand
Aptage future of ai webinar slides
1. Welcome to AI and
the Future of
Analytics Webinar!
Presented by
Murray Cantor, Ph.D, Aptage CTO
John Gonzalez, Aptage VP of Sales
All participants are currently muted.
Please use the Q&A feature to interact with
the presenters. Questions can be e-mailed to
hello@aptage.com
2. APTAGE.COM | 2
Topics
• AI history and technology at 100,000 ft.
• AI and the future of analytics
• The economics of AI
• Aptage as an example
Risk Burndown
3. APTAGE.COM | 3
AI Precursors
• Neural Nets
• were developed in mid 20th century to model brains.
• Based on experiments, MRI
• Until recently , too computationally intensive to be useful
• Back propagation algorithm
• GPUs, the cloud
• Inference Engines
• Early successes (e.g. Theorem provers)
• Used in expert systems
• Evolution of analytics
• From descriptive to prescriptive
• Resurgence of Bayes
Neuroscience
4. APTAGE.COM | 4
AI is the convergence of three fields
Inference Engines
Rules Based
Bayesian,
Predictive
Methods
Computational
Neuroscience
Wash U
Alchemy
Neuro Nets
AI
AI and HI understanding are
predictions based on the input
and innate rules.
Examples
• Natural language processing
predict the word based on
the detected sound wave.
• Self-driving cares predict
whether there will be an
accident
5. APTAGE.COM | 5
AI is the convergence of three fields
Inference
Engines
Rules Based
Bayesian,
Predictive
Methods
Neuro
Science
Alchemy
Neuro Nets
AIAI and Humans both predict the
answer based on the inputs and
innate rules and acts
accordingly.
Examples
• natural language processing
predict the word based on
the detected sound wave.
• Self-driving cares predict
whether there will be an
accident
Uber has discovered the reason why one of the test cars in its fledgling self-driving car fleet
struck and killed a pedestrian earlier this year … The software was tuned in such a way
that it “decided” it didn’t need to take evasive action, and possibly flagged the
detection as a “false positive.”
The Verge, May 8, 2018, https://bit.ly/2FWTGlM
6. APTAGE.COM | 6
Kinds of AI
• Narrow
• Does one thing really well:
• Cognition, playing games (strategy),
predictions
• Wide (AKA Artificial General Intelligence)
• Alexa, Siri, Google Assistant, Cortana
• Supposed to do what’s asked
• Conscious machines
• Supposed to do what you (it) need(s)
• Lots of philosophical debates(
• Reductionism,….
7. APTAGE.COM | 7
The state of the art
Not yet very good
(‘nuff said)
Not impossible – no laws of physics
are broken.
May need at quantum computing
Better than we should expect.
E.g. AlphaGO
Turned a corner on practicality
• Narrow
• Does one thing really well:
• Cognition, playing games (strategy),
predictions
• Wide (AKA Artificial General Intelligence)
• Alexa, Siri, Google Assistant, Cortana
• Supposed to do what’s asked
• Conscious machines
• Supposed to do what you (it) need(s)
• Lots of philosophical debates(
• Reductionism,….
8. APTAGE.COM | 8
The state of the art
• Narrow
• Does one thing really well:
• Natural language, play games, analysis
• Self driving cars
• Specific tools to augment workers
• Great recent progress
• Wide (combination of Narrow, bag of tricks)
• AKA Artificial General Intellegnece
• Alexa, Siri, Google thing
• Supposed to do what’s asked
• Conscious machines
• Lots of philosophical angst (Body and Soul)
• Is it even possible?
• How would we know?
Not yet very good yet, not anywhere near
as smart as my 3 yr old grandson
Just Wait
“Ali Rahimi, a researcher at Google, … said researchers often don't know why some
algorithms work while other ones don't. "Many of us feel like we're operating on an alien
technology," Rahimi explained.”
Android Police, May 5, 2018, https://bit.ly/2jEkUF0
9. APTAGE.COM | 9
AI both uses, and generates needs for, new analytics
AI IQ
Measures the quality of AI offerings
Needed to make AI a science
Descriptive
Monitoring what has happened
Predictive
What is likely to happen
Prescriptive
Recommends actions
Autonomous
Trusted to Take Actions
ImmaturityBayseian
10. APTAGE.COM | 10
For most businesses , the money is in narrow AI
• Current AI is much analogous to first industrial revolution
• It carries out mental tasks well enough to be more efficient than humans
• Replace workers to managed risk routine
• Issuing insurance policies
• Issuing credit
• Taking sales orders
• Enhance workers
• Reading medical images
• Code Migration
• Dealing with uncertainty
• Thinking slow
”AI Could Kill 2.5 Million Financial Jobs – And Save
Banks $1Trillion”
Fast Company, May 8, 2018 (https://bit.ly/2jFUUJr)
11. APTAGE.COM | 11
For business, AI leads the “service industrial revolution”
• Current AI is much analogous to first
• It carries out mental tasks well enough to be more efficient than humans
• Replace (routine)
• Issuing insurance policies
• Issuing credit
• Taking sales orders
• Enhance
• Reading medical images
• Code Migration
• Dealing with uncertainty
• Thinking slow: Augment probability skills
”AI Could Kill 2.5 Million Financial Jobs – And Save Banks $1 Trillion”
Fast Company, May 8, 2018 (https://bit.ly/2jFUUJr)
Lets discuss
Aptage
12. APTAGE.COM | 12
Aptage AI enhances the skills of development managers
Strategic
Investment
J to S Projections
Build
Risk/Reward
Portfolio
Risk/Reward Portfolio
Early
Days
Churn Analysis
Detect
Disruption
Risk of Disruption
Deliver
Innovation
Risk Burndown
13. APTAGE.COM | 13
Final thoughts
• AI is the evolution and convergence of several technologies
• Breakthroughs come from computation neuroscience
• AI, as people will always make mistakes – need to decide what is
good enough
• For most of us the money is in narrow AI
• Kicking off the service industrial revolution
• Business should and often do treat it as any automation
• AGI and conscious machines
• AGI – huge investments by big guys
• Conscious – may take quantum computers
• Analytics will evolve to measuring AI
• Aptage is AI for development organizations
Risk Burndown
14. APTAGE.COM | 14
References
• Chistof Kock, Consciousness: Confessions of a Romantic Reductionist, MIT Press), 2012
• Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World,
Basic Books, 2015
• Aurélien Géron, Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to
Build Intelligent Systems, O’Reilly Media, 2017
• Cade Metz, “The Rise of AI and the end of code” in Wired, May 2016 ( https://www.wired.com/2016/05/google-
alpha-go-ai/)
• “Googles Researchers Call Machine Learning Alchemy” in Android Police,
https://www.androidpolice.com/2018/05/06/googles-researchers-call-machine-learning-alchemy/
• Alchemy site: https://alchemy.cs.washington.edu
• TensorFlow site: https://www.tensorflow.org