Understand & Where to use AI & Machine Learning 101 | Rich Niemiec | Conf42 DevSecOps 2023

January 2, 2024

Read the abstract ➤ https://www.conf42.com/DevSecOps_2023_Rich_Niemiec_ai_machine_learning_101
Other sessions at this event ➤ https://www.conf42.com/devsecops2023
Join Discord ➤ https://discord.gg/DnyHgrC7jC

Chapters
0:00 intro
1:43 preamble
2:10 where to use ai & ml 101
2:44 about viscosity
3:40 agenda
4:47 the economic potential of genai
5:13 symbiotic coming relationship; you & robots
5:53 the brain center at whipple’s & chatgpt
6:23 robotics / automation impact to jobs
6:50 leverage – db, gps & robotics
6:57 the obsolete man
7:22 autonomous database – replacing the dba?
7:44 biju thomas – emerging jobs (devloper/dba)
8:11 characteristics of big data – the five v’s
8:38 converged database
8:43 what you need; nick of time
9:49 a robot may not look like one!
10:10 autonomous db : future dba & robot db
10:56 oracle machine learning: brief highlights only
11:17 ml process (supervised learning)
12:34 business understanding
13:18 oaa model build and real-time sql apply
14:29 dbms_data_mining oracle algorithms
14:43 ml learning in adw/atp
16:10 a game of pool
16:49 oracle ml algorithms and analytics in oracle db
17:12 decision tree algorithm (ml classifier)
17:47 oml (oaa) oracle data mining sql sample (partial)
18:25 random forest (ml classifier)
18:50 neural network
20:29 one-class svm (ml anomaly detection)
21:15 hierarchical k-means (ml cluster)
21:52 seasonal, irregular & missing data: time series algorithm
22:28 linear model (regression)
22:52 generalized linear model (glm)
23:21 principal component analysis (attribute importance)
24:26 living doll
24:43 apriori / market based (association rules)
25:20 singular value decomposition (feature extraction)
25:31 principal component analysis (feature extraction)
25:47 in his image
26:11 number 12 looks like you (2020)
26:22 sql analytics (windows / patterns / aggregates)
26:56 statistical functions in oracle (partial list)
27:06 ml ffunctions – oracle docs
27:48 autml is here for autonomous db
28:15 time enough at last for ml with automl
28:55 ml & ai – oracle’s built-in algorithms
29:05 biju thomas at odtug
29:10 ml & business apps
29:55 applications – ai powered; analytics & ml
30:16 oracle genai
30:32 sql generation from natural language using llm
31:10 think of it as an assistant (60-70%)
32:03 apex development speed- genai
33:25 genai writes the sql
33:41 what’s next: a worldwide race to build ai
34:26 healthcare driving oracle to better ai products
34:40 oracle driving first responders with tesla
34:50 openai – ten years later… the baby talks!
35:21 generative ai – things to know…
36:20 chat gpt
36:45 google’s bard
37:20 transformers – google, 2017
38:04 generative ai: gpt & chatgpt
38:35 chatgpt-4
38:51 oracle vector db
39:25 from juan loaiza interview
40:23 vecotr search
40:49 create table with vector data type & blob
42:36 retrieval augmented generation
43:03 answer detailed questions / supply manuals
43:29 ask question & reference document ai searches
44:06 from stanford paper
44:54 robots we grew up with… movie robots… closer to the future… today’s robots
45:38 genai inside apex, sensors, robots… etc.
45:53 use oracle va with robots
46:03 db, ai & vr
46:25 a world of difference (getting closer)
47:05 the after hours (future sentience issues ahead)
47:36 the digital transformation ahead
48:11 digital – how did we go from magical to toxic?
48:59 gartner 2020 hype cycle
49:49 quantum computing makes ml fast enough!
50:14 3 types of ai
50:42 final thoughts
51:26 summary
53:12 thank you!