Intelligence,’ a term he coined 1/62: Arthur Samuel, an IBM computer scientist, creates a self-learning program that proves capable of defeating a top USA checkers champion AI ‘Winter1’ (1967-1996) Shakey, the first general- purpose mobile robot that can reason about its own actions 5/97: Deep Blue, IBM’s chess- playing computer, defeats Garry Kasparov, the world chess champion Trending = Unprecedented37 Machine-Learning Model* Trending = In 2015... Industry Surpassed Academia as Data + Compute + Financial Needs Rose *Machine Learning = A subset of AI where machines learn

step. How it started Morgan Stanley’s first eval focused on making their financial advisors more efficient and effective. The premise was simple: If advisors could access information faster and reduce the people. AI amplifies our potential and helps us be more efficient and creative. Elena Alfaro Head of Global AI Adoption Product Note: With deep research, ChatGPT can do work independently. Give it a prompt employee productivity and gives them access to deep, detailed research on any topic in minutes. In an internal evaluation by experts across domains, deep research saved an average of 4 hours per complex

a kind of failure that is the opposite of defects and outages.  Trying things out is a way of learning in the Agile world; it is a kind of feedback cycle that lets us make good decisions in the normal more quickly and with more good information available.  “Failing” in this sense is simply an efficient process we use to select among alternatives. Shadow IT Agile ways of working support a community The critical change is that of moving from a plan-driven approach to an Agile approach, based on learning and adapting. This is deeply opposed—let me say that again—deeply opposed to the control paradigm

Julia Homepage • Download Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

Julia Homepage • Download Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

Julia Homepage • Download Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled

• Julia Homepage • Install Julia • Discussion forum • Julia YouTube • Find Julia Packages • Learning Resources • Read and write blogs on Julia 1.2 Introduction Scientific computing has traditionally the performance trade-off and provide a single environment productive enough for prototyping and efficient enough for deploying performance-intensive applications. The Julia programming language fills this behavior across many combinations of argument types via multiple dispatch • Automatic generation of efficient, specialized code for different argument types • Good performance, approaching that of statically-compiled