Rise of the Machines - AI in the Agile World
•Als PPTX, PDF herunterladen•
2 gefällt mir•411 views
Slides from my talk at aginext 2019. In this session we’ll examine the AI capabilities available today in simple layman’s terms and explore how these will be used to augment and shape the agile world of tomorrow. Artificial Intelligence (AI) has catapulted us into a brave new world of self-driving cars, delivery drones and talking robots. A combination of AI technologies including advanced machine learning, deep learning and natural language processing are now set to change the way we build and deliver products enabling us to build smarter software faster. Imagine a world where product backlog prioritisation and feature discovery are aided by unbiased data analytics from AI systems. Self-learning products and adaptive user interfaces will automatically respond and adapt based on data driven analysis of real time user behaviour. Trouble shooting and recovery from production outages is accelerated and assisted by AI operations bots. This convergence of AI systems with the agile world will offer teams unprecedented visibility into their work and their products.
Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Was ist angesagt?
Was ist angesagt? (20)
Ähnlich wie Rise of the Machines - AI in the Agile World
Ähnlich wie Rise of the Machines - AI in the Agile World (20)
Mehr von Aidan Casey
Mehr von Aidan Casey (16)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
Rise of the Machines - AI in the Agile World
- 1. Rise of the Machines AI in the agile world
- 2. Aidan Casey senior manager - Johnson Controls Cork @aidanjcasey https://medium.com/@aidanjcasey
- 7. Alpha Zero 2017 Alpha Go 2016 Deep Blue 1997 Watson 2011
- 11. 2011 Watson
- 13. Natural Language Processing (NLP) + Deep QA
- 17. I walked down the street in a hat with a smile.
- 18. I walked down the street in a hat with a smile.
- 19. I walked down the street in a hat with a smile. Parse Analyse Classify Contextualise
- 22. 2016 AlphaGo
- 24. source: Google DeepMind via YouTube
- 25. machine learning
- 26. supervised machine learning Data Acquisition Clean and Prepare Data Apply & Test Learning Algorithms Train Model Deploy Model iterate to find best model
- 28. neural networks
- 29. 2017 AlphaZero
- 31. supervised learning machine learning unsupervised learning classification regression clustering association
- 32. Alpha Zero 2017 Alpha Go 2016 Deep Blue 1997 Watson 2011
- 33. Alpha Zero 2017 Alpha Go 2016 Deep Blue 1997 Watson 2011 custom algorithms tree Search natural language processing deep QA supervised machine learning unsupervised machine learning monte carlo tree search
- 34. AI in the Agile World
- 35. AI assisted SDLC Natural User Interface Design Self Learning Software
- 36. AI powered expert tooling NLP will provide ● enriched requirement models ● better code generation ● improved test automation ML will provide ● more predictable timelines ● test coverage recommendations
- 40. Cross Industry Process for Data Mining (CRISP-DM)
- 41. ChatOps
- 42. Self Healing Systems machine learning analysis of • operation logs => root cause and fixing outages • network traffic • the OT => neutralise cyber attack vectors
- 43. evolution of the user interface Command Line Interface Graphical User Interface Natural User interface
- 44. Natural user interface design Intuitive systems that respond to speech and gestures Immersive interfaces
- 46. Self learning systems Convergence of machine learning with web analytics will provide a deeper understanding of our users ● AI assisted personalization ● Automatic persona discovery ● Persona refinement ● Intelligent feature usage reporting ● cohort analysis
- 47. unbiased product backlog prioritisation
- 48. software developers from coding fixed business logic to training machine learning models AI powered tooling for code generation software testers Automatic test case generation AI assisted test scenario planning UX designers Natural User Interface Design AI assisted persona mapping operations ChatOps Self healing systems product owners AI assisted backlog prioritisation Feature / persona usage insights agile teams AI assisted planning through expert systems
- 49. What will a product team look like in the future?
- 51. Agile Team will (still) need Autonomy, Mastery & Purpose
- 53. AI Ethics
- 57. AI Bias
- 60. the importance of diversity in AI
- 61. we are at an ethical inflection point ….
- 62. it’s up to us to write right the future
- 63. proposing the AI manifesto “We recognise that artificial intelligence will have a significant impact on our society. We pledge to only build AI systems that will contribute to the greater good.” ❖ AI systems must treat all people equally, they must not create or reinforce unfair bias ❖ AI systems must not be weaponized ❖ AI systems must be socially beneficial ❖ AI systems must respect privacy
Hinweis der Redaktion
- pace of digital transformation is rapidly accelerating Gordon Moore, founder Intel in 1965 unprecedented apply metric to fuel consumption - 4 litres drive round earth
- 40% AI Start Ups AI is the ability of software and computer-controlled robots to perform tasks that require HUMAN LEVELS Intelligence LEARNING REASONING SELF-CORRECTION INDEPENDENT DECISION MAKING
- https://coggle.it/
- look ahead procedure creates a branching tree of possible game futures rooted in the current state of the board 200 million moves per second it can only play chess , nothing more
- look ahead procedure creates a branching tree of possible game futures rooted in the current state of the board 200 million moves per second it can only play chess , nothing more
- long standing American TV Game Show
- MASSIVELY PARALLEL HYPOTHESIS GENERATION AND EVALUATION TASK WIKIPEDIA, BOOKS,
- GENERATES A WIDE RANGE OF POSSIBLE ANSWERS GATHERS EVIDENCE DEVELOPS A LEVEL OF CONFIDENCE ABOUT EACH ONE
- 20 MS chunks and compares recordings , uses statistical models to determine each word
- TENSE VERBS SYNOMYNS GRAMMER RULES - LEXICON TO DETERME THE MEANING
- WATSON IS A GENERAL PURPOSE PLATFORM FOR ANALYZING UNSTRUCTURED DATA LIKE TEXT
- 3000 years old number of configurations of the board is near infinite masters can't articulate how they play, its a feeling
- Alpha Go - trained with thousands games using supervised machine learning.... learned to recognise winning patterns an
- THE GOAL OF MACHINE LEARNING IS TO ENABLE COMPUTERS TO LEARN FROM HISTORICAL DATA ON THEIR OWN ......... ............ .... AND TO PREDICT FUTURE OUTCOMES WITHOUT HAVING TO BE PROGRAMMED TO DO THIS
- SET OF TRAINING DATA IS FED IN MANY DIFFERENT ALGORITHMS THAT BREAK IT INTO DIFFERENT FEATURES AND LAYERS - called FEATURE DETECTION THE MORE LABELLED DATASETS THE MORE ACCURATE IT GETS
- CONVULUTION NETWORK INSPIRED BY THE ARCHITECTURE OF THE VISUAL CORTEX IN HUMANS Neurons only see a tiny window of pixels , lots of neurons looking at the same window .... then shifted slightly Strength of the connections between the neurons is trained with BACK PROPOGATION
- A TRULY GENERAL PURPOSE GAME PLAYING AI PROGRAM Trained against itself only ... no human bias
- Unsupervised learning is very much how children learn lanugages ... from listening and observing in an unsupervised fashion
- CONWAYS LAW HISTORICAL TEAM ESTIMATES HISTORICAL ACTUALS
- data feeds requirements, releases, metrics, Alert teams for potential issues and possible fixes advised testing strategies guided agile cermonies
- overall reported improvements in test case prioritisation and coverage .... BUT ... HUMAN FEAR OF MACHINES
- CHAT OPS - unifying communications DEV , TEST ,through to DEPLOY and Resolving OUTAGES
- 2013 Stadford researcher Michael Kosinski released a white paper that demonstrated how AI can predict human personalities and traits by analysing FB likes
- Cambridge Analyticia used this Algorithm is not difficult, data is the key 87 million FB users ... through personal friend data which was illegal US Election, Brexit - tone of language, personality style, political views Mark Zukerberg apologised before US Congress for how 3rd party apps were able to gather this data
- REINFORCED DISCRIMINATION
- 2017 Virginia computer science professor Vicente Ordonez - Machine Learning software trained on datasets don't just MIRROR those biases they AMPLIFY them
- Amazon internal recruitment tool... score candidate CV's 10 years of resumes for current employees favoured masculine language penalised female schools
- Start the discussion…. manifesto