Overview

Dive into a comprehensive conference talk on AI and Machine Learning fundamentals, exploring their applications and impact across various industries. Learn about the economic potential of generative AI, the symbiotic relationship between humans and robots, and the evolving role of database administrators. Discover the characteristics of big data, autonomous databases, and Oracle Machine Learning algorithms. Explore decision trees, random forests, neural networks, and other ML techniques. Gain insights into SQL analytics, statistical functions, and AutoML capabilities. Examine the latest developments in generative AI, including ChatGPT and Google's Bard. Understand vector databases, retrieval augmented generation, and the future of AI in business applications. Reflect on the digital transformation ahead, quantum computing's impact on ML, and the three types of AI. Conclude with final thoughts on the rapidly evolving AI landscape and its implications for the future of technology and society.

Syllabus

intro
preamble
where to use ai & ml 101
about viscosity
agenda
the economic potential of genai
symbiotic coming relationship; you & robots
the brain center at whipple's & chatgpt
robotics / automation impact to jobs
leverage - db, gps & robotics
the obsolete man
autonomous database - replacing the dba?
biju thomas - emerging jobs devloper/dba
characteristics of big data - the five v's
converged database
what you need; nick of time
a robot may not look like one!
autonomous db : future dba & robot db
oracle machine learning: brief highlights only
ml process supervised learning
business understanding
oaa model build and real-time sql apply
dbms_data_mining oracle algorithms
ml learning in adw/atp
a game of pool
oracle ml algorithms and analytics in oracle db
decision tree algorithm ml classifier
oml oaa oracle data mining sql sample partial
random forest ml classifier
neural network
one-class svm ml anomaly detection
hierarchical k-means ml cluster
seasonal, irregular & missing data: time series algorithm
linear model regression
generalized linear model glm
principal component analysis attribute importance
living doll
apriori / market based association rules
singular value decomposition feature extraction
principal component analysis feature extraction
in his image
number 12 looks like you 2020
sql analytics windows / patterns / aggregates
statistical functions in oracle partial list
ml ffunctions - oracle docs
autml is here for autonomous db
time enough at last for ml with automl
ml & ai - oracle's built-in algorithms
biju thomas at odtug
ml & business apps
applications - ai powered; analytics & ml
oracle genai
sql generation from natural language using llm
think of it as an assistant 60-70%
apex development speed- genai
genai writes the sql
what's next: a worldwide race to build ai
healthcare driving oracle to better ai products
oracle driving first responders with tesla
openai - ten years later... the baby talks!
generative ai - things to know...
chat gpt
google's bard
transformers - google, 2017
generative ai: gpt & chatgpt
chatgpt-4
oracle vector db
from juan loaiza interview
vecotr search
create table with vector data type & blob
retrieval augmented generation
answer detailed questions / supply manuals
ask question & reference document ai searches
from stanford paper
robots we grew up with... movie robots... closer to the future... today's robots
genai inside apex, sensors, robots... etc.
use oracle va with robots
db, ai & vr
a world of difference getting closer
the after hours future sentience issues ahead
the digital transformation ahead
digital - how did we go from magical to toxic?
gartner 2020 hype cycle
quantum computing makes ml fast enough!
3 types of ai
final thoughts
summary
thank you!