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!