The Minhaaj's Podcast minhaaj rehman
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- Technology
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Minhaaj Podcast are Candid Conversations with Some of the Most Intelligent People. From Forbes and WSJ contributors, inventors, wall street bankers, Fintech experts, memory champions, neuroscientists, psychology veterans, FAANG employees and Youtube Educators, i have had the distinct pleasure to learn from these luminaries, for which i shall remain thankful, forever.
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Working at DeepMind with Aleksa Gordic
Aleksa Gordic is an ex-software/ML engineer at Microsoft & DeepMind with a broad background across the "whole stack" - maths, electronics, software engineering, algorithms, ML & deep learning (computer vision, natural language processing (NLP), geometric DL, reinforcement learning (RL)...), web, mobile, etc. He is a Top Linkedin Voice in AI for 2023. He has The AI Epiphany YouTube channel, and occasionally shares his projects on GitHub and blogs on Medium.
# Timestamps
00:00 Intro
00:45 Dropping Out, Self Learning & Chris Olah
03:20 From Android Developer to ML Engineer
06:25 LeetCode and CodeForces, Coding vs Soft Skills
17:30 Input and Output Mode of Learning
21:41 Yugoslavian Education, Cevap Cici, Hate for Schooling
25:46 Maths Teaching, Lack of Incentivizatiion and PISA Scores around the World
29:29 Inspirational Teachers
31:50 Microsoft HoloLens Summer Camp & Apple Vision
39:26 Microsoft Research, Google Ai, OpenAI & ResNet
41:50 Culture at Microsoft vs Google, Teams & Research Areas
50:00 Proprietary vs Open Source Models, Falcon 40B, MosaicML
01:01:02 Microsoft’s Gameplan, Profits vs User Acquisition
01:10:27 Alan Turing’s Paper, Definition of ‘Machines’ & ‘Think’
01:14:05 Neuromoprhic Computing, Neuronal Pathways & Future of Hardware
01:16:18 LLM benchmark Saturation & Research Directions
01:20:37 Disinformation, Adobe Firefly and Social Fabric
01:23:33 Lawsuits against Stability AI & OpenAI, Transition from Non-profit to For-Profit
01:28:30 Politicization of AI, Supercomputing & Technological Real Politik
01:31:14 EU AI Regulation, European Innovation Stifling & Repurcussions
01:38:54 US restrictive Visa Regime, H1B Tech Visa problems & Tech Talent Moving out of the US
01:47:00 Life outside Work, Sports & Calisthenics
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Julia and Data Science with Bogumil Kaminski
Season 2 episode 2 of The Minhaaj Podcast this week brings on the child prodigy and genius co-creator of dataframes.jl package for Julia, Dr Bogumił Kamiński. Bogumil learned C language without owning a computer from library books at the age of 16 in a small Polish town. In post-communist Poland he went on to study applied problems in management and economics and his interest lies in computational models for real-life problems.He currently serves as the full professor of economics at the Warsaw School of Economics. He also holds the following positions:- Head of Decision Analysis and Support Unit- Chairman of the Scientific Council for the Discipline of Economics and Finance- Member of the Presidium, Statistics and Econometrics Committee, Polish Academy of Sciences- Adjunct Professor, Toronto Metropolitan University- Data Science Laboratory Researcher, Fields Institute, Computational Methods in Industrial Mathematics Laboratory- Affiliated Faculty, Toronto Metropolitan University, Cybersecurity Research LabPresident, INFORMS Polish Section- Co-editor, Central European Journal of Economic Modelling and Econometrics- Editorial board member, Multiple Criteria Decision Making journalIndependent Supervisory Board Member, AutoPartner S.A.Bogumił Kamiński is an expert in the application of mathematical modeling to solve practical problems in business. In the past, he gathered experience as head of business intelligence and data analytics units in one of the largest Polish consulting and IT solution implementation companies.His field of expertise is the creation of complex decision-support models that use machine learning, optimization, and simulation methods. He is one of the world-leading experts in the Julia language and has numerous contributions to the core of the language and the package ecosystem. He created the famous dataframes.jl package for data science.He also created SilverDecisions software, which is freely available online for modeling decision trees. He has written five books one of which I have reviewed earlier, Julia for Data Science.# Timestamps00:00 Intro01:08 Learning Programming, Communist Poland & First Computer07:07 Polish Education System & STEM teaching11:35 Julia’s Conceptualization & Expectations28:05 PetaFLOP club language, Data Type-based Operations & Julia’s Performance38:11 Project Celeste, 800M astronomical objects detection, HPC in Julia59:50 Julia in Academia vs Industry - Speed & Ease of Learning01:21:21 Customer-facing Apps, Streamline vs Genie01:38:56 Julia and LLMs, Falcon 40B, Training & Inferencing in Julia01:45:05 Relearning Julia, How to get Started01:51:09 From in-memory to cluster processing and MIT partnership01:59:09 Family, Productivity, Community & Work - Juggling different Balls
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AI powered self serving BI with Ryan Janssen & Paul Blankely - Zenlytic
Ryan is an entrepreneur, data scientist, engineer, and former VC. He is the co-founder and CEO of Zenlytic, a SaaS business that makes a next-generation AI-powered BI tool that uses LLMs and Semantic layers. He previously co-founded Ex Quanta AI Studio, a full-service data consultancy.
Ryan started his career as a software developer in his native Canada, before moving to the UK. He then worked with London’s AGC Equity Partners venture capitalist and private equity investor, investing in technology businesses with check sizes of $1-$50m. He has also worked as a consultant with McKinsey & Co. and Ernst & Young. He has master's degrees from Harvard University and Oxford University and a bachelor’s degree from the University of Alberta.
Paul is the Co-founder / CTO of Zenlytic, a self-serve BI tool that uses LLMs to provide a simple chat interface to complex business data. He's worked in data for 7+ years and is passionate about all things data and AI.
He has a master's from Harvard in Data Science, and while there, he worked with the Minor Planet Center on algorithms to detect if previously untraceable asteroids were going to hit the Earth. Before Harvard, he worked for Roche developing algorithms that run hand-held blood glucose meters. He lives in Denver, CO, where he spends his free time snowboarding, running, and rock climbing.
Zenlytic has raised seed round funding from Sequoia Capital and Bain Capital Ventures among others for over $6M. It is revolutionizing how AI is changing the business analytics and visualization powered by plain self-serving chats with its AI assistant Zoe.
transcript
00:00 Intro
02:15 Zenlytic, Dashboards and Self-serve Tools
04:42 PowerBI, Tableau & Why Another Tool
06:29 Semantic Layer on LLMs and Self-Serve Analytics
13:00 Replacing BI Analysts, Yann Lecaun & LLM Hallucination
15:19 Zoe, Zenlytic AI Assistant & Use Cases
23:24 Chat-based KPI Dashboard Making
26:312 Meeting at Harvard & Friendship outside Harvard
30:00 Role of Ivy League Network in securing VC Funding
34:50 Ingredients for landing VC Funding
37:32 Webapps vs Mobile Apps & Slack Integration
43:20 Cloud vs On-Prem, Security vs Flexibility
47:03 Snowflake vs Databricks
51:12 Cost per Acquisition & Burn Rate for Start Ups
57:01 No-code vs Code, Bubble for Web Design
01:01:31 AI doomerism and Future of Work
01:08:22 Grad School Project on Telescopes Monitoring Asteroid
01:11:00 Horse betting and Gambling Algorithms
01:19:30 AI race between US & China and its Impacts
01:34:50 EU AI Act, Regulation vs Innovation, Prevention vs Experiment
01:39:10 Generative AI and Societal Challenges
01:45:14 Start-Up Hiring and Quality of University Grads and Education
01:57:00 Future of Zenlytic & Upcoming Features
Guest links:
Ryan Janssen: https://www.linkedin.com/in/janssenryan/
Paul Blankley: https://www.linkedin.com/in/paulblank...
Zenlytic: https://www.zenlytic.com/
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Prosthetic Hands with Aadeel Akhtar
Dr. Akhtar received his Ph.D. in Neuroscience and M.S. in Electrical & Computer Engineering from the University of Illinois at Urbana-Champaign in 2016. He received a B.S. in Biology in 2007 and M.S. in Computer Science in 2008 at Loyola University Chicago. His research is on motor control and sensory feedback for upper limb prostheses, and he has collaborations with the Bretl Research Group at Illinois, the Center for Bionic Medicine at the Shirley Ryan AbilityLab, the John Rogers Research Group at Northwestern University, and the Range of Motion Project in Guatemala and Ecuador. In 2021, he was named as one of MIT Technology Review’s top 35 Innovators Under 35 and America’s Top 50 Disruptors in Newsweek.
00:00 Intro
01:42 Multiarticulation of Prosthetic Hand, Finger Movements
03:10 Visiting Pakistan at 7 Years Old, Inspiration for Prosthetics
04:34 $75,000 vs $10,000 Hand, Cost Reduction & Accessibility
06:13 Sourcing Parts from China, Shenzen, Electronic Part Capital of the World
08:45 3D Printing of Hand and Distribution of locally vs imported Parts
11:00 Fixing Repair Problems for Imported Components from China, COVID 19
12:31 USB port, Bluetooth and Spiderman Web
16:56 Android/iOS App, AI&ML & Sensitivity Controller
18:50 From Research to Market, Tactile Feedback
24:15 Invasive Technology, Electrode Scarring & Partnerships
27:11 Cortical Implants & Future of BCIs for Humanity
31:39 Neuroscience Labs as Co-working Spaces
33:20 Guitar, Linkin Park & Mohawk
38:34 OpenAI and Rubic Cube vs Prosthetic Hand
49:16 Work in Ecuador & Inception of the Idea
52:39 3D Printing vs Manual Construction of Prosthetics - Robustness
01:04:31 Multimodel Neuroplasticity & Forced Interchangeability
01:10:06 Neuroscience of Parenting, Catch 22
01:14:00 Importance of Recognition & Thanking the Crew as a Leader
01:17:00 From $200 in account to Funding round and Medicare Approving Psyonic Hand
01:20:29 Going Global and Exploring New Markets
01:23:31 Infection Mitigation Design
01:29:06 Low Cost Competitors, KalArm by Makers Hive & Game Plan
01:36:33 Shoe Dog by Phil Knight and Power of Grit
01:40:40 Impact, Legacy & Fulfillment
Guest Social Media Aadeel’s Profile: https://www.linkedin.com/in/aadeelakhtar/Perosnal Website: https://www.aadeelakhtar.com/Newsweek Coverage: https://www.newsweek.com/2021/12/24/americas-greatest-disruptors-medical-marvels-1659061.htmlMIT Innovators Coverage: https://www.technologyreview.com/innovator/aadeel-akhtar/
Follow us:
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Apple Podcasts: https://apple.co/3v0YZxV
Google: https://bit.ly/3s5vDwc
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Who is Minhaaj?
Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.
CONNECT WITH Minhaaj
✩ Website - https://bit.ly/3LMvwgT
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Data Warehouse with Bill Inmon
William H. Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject-oriented, nonvolatile, integrated, time-variant collection of data in support of management's decisions. Compared with the approach of the other pioneering architect of data warehousing, Ralph Kimball, Inmon's approach is often characterized as a top-down approach.
00:00 Intro
01:17 From failed Golf Career to a Computing one
03:06 Originality, Patterns & Database Design
04:37 Punch Cards, Magnetic Tapes, Fortran, Cobalt & Bits in IBM 1401s
11:16 First Book with Arnie Barnett, First Conference & Peer Pressure from Vendors
14:26 Winning over Marketing & Sales People vs IT Departments
18:15 Rise & Fall of IBM, Arrogance, Rudeness & Apathetic Company
20:04 Prism Solutions & Early Days of Data Warehousing, Dormant Data & Textual ETL
30:20 Corporate Information Factory, DataMarts & ETL
32:00 Inmon vs Kimball Approach of Data Architecture, Good, Bad & the Worse
36:15 Data Reliability with Data Marts vs Centralised Data Warehouse
39:00 Staging Area in Kimball System vs Vetting the Data
41:00 Metadata, Beethoven & Importance of Metadata,
45:00 Prolific Writing, Family of Writers & Edgar Allan Poe. Hated Writing in College
48:51 Writing Course at Stanford, Fiction & Technical Communication
51:16 Fiction Published Work & Posthumous Publishing
57:03 ELT vs ETL, Data Needs Work. Computing Power and Data Transformation
01:01:31 Big Data, Data Creation Speed & Future of Data Warehousing
01:04:06 Textual ETL, MIT Symposium & Text Data Utilisation Algorithms, Medical Research & COVID 19
01:13:45 Transformers, NLP, Graph Learning & Unfair Criticism & Animosity
01:23:56 Dotcom Bubble, Gartner’s Hype Curve, Theranos and Deception
01:29:45 Venture Capitalists are not Smart People, they are Rich People.
01:35:31 Cloud Computing vs Local DWHs
01:38:06 Databricks vs Snowflake
01:42:03 Not a Book Reader, Carving your Own Path
01:45:56 Travelling to 59 Countries, Experiencing Culture & Interesting Interactions
01:50:00 From California to Colorado, Nature in the Rockies & Life
Follow us:
Full Episodes Playlist link: https://bit.ly/3p2oWJA
Clips Playlist link: https://bit.ly/3p0Qmzs
Apple Podcasts: https://apple.co/3v0YZxV
Google: https://bit.ly/3s5vDwc
Spotify: https://spoti.fi/3H6jqf0
Who is Minhaaj? Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.
CONNECT WITH Minhaaj
✩ Website - https://bit.ly/3LMvwgT
✩ Minhaaj Podcast - https://bit.ly/3H8MK4G
✩ Twitter - https://bit.ly/3v3t1RJ
✩ Facebook - https://bit.ly/3sV0XgE
✩ ResearchGate - https://bit.ly/3I6BvLu
✩ Linkedin - https://bit.ly/3v3FswQ
✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO
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Building Data Teams & Culture - Lisa Cohen
Lisa Cohen is the Director of Data Science at Twitter and Formerly at Microsoft for 20 years. He holds a bachelor and a master in Applied Mathematics from Harvard and is one of the most influential women in Data Science and AI.
00:00 Intro
02:52 Harvard, Microsoft, and Twitter. From SE to Data Science
03:40 Work Culture at Microsoft, Bigger Picture & Customer First Paradigm
16:40 Working with Bill Gates, Satya Nadella, Leadership Lessons & Marty Kagan
19:30 Zoom Meetings, Productivity & Innovation, ‘Drive’ by Daniel Pink
23:13 Working Styles, Introversion vs Extraversion,
26:43 5-day Week, Focus and Scandinavian Productivity
28:50 The Great Resignation, Data Science Jobs, Networking for People who hate Networking
34:28 Twitter vs Everything else, Metaverse, Space Tourism,
36:50 Non-computing Backgrounds & Transition into Data Science
42:35 Azure’s Race with Amazon in Cloud Computing, OpenAI & First Mover Advantage
46:50 Softball & leadership, Azure Sharks & ‘Hit Refresh’ by Satya Nadella
51:16 Reid Hoffman, Naval Ravikanth & Inspirational Leaders
55:00 Roadblocks in Optimising Data Utilization for Creating Business Value
01:01:00 Data-Centric Models vs ML-Centric Models, Data Augmentation & Use Cases at Microsoft
01:04:04 NVIDIA GTC, Apple M!, Chip Shortage and repercussions for AI
01:08:49 Women in STEM, Mom Support Group & Women leaving STEM faster
01:17:06 Lessons for Leadership being a Parent.
01:20:25 Managing things as a Parent, Work Cycles & Productivity Marathon
01:21:00 Valedictorian Child, Being Elder Sibling, Work Ethics and Parents
01:25:30 Performance Expectation, Sibling Rivalry, Being a Role Model
01:27:19 Mentors and Best Advice
01:30:05 Jack Dorsey, Life, Legacy & Impact on Others
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Customer Reviews
Varied topics and not surface-level
It’s a different set of topics every time. And host is not afraid to direct conversation deep into each topic
Insightful and fun podcast
These podcasts are exceedingly fascinating. They are generally long and cover diverse topics, so they are great for a long drive or for a workout. The topics are varied even within a given conversation so you always learn something new.
Deep, Thoughtful, Fun
A podcast that brings out the science of psychology. The host, Minhaaj, invites researchers from different areas of psychology, machine learning, and data science to discuss current topics in research. The conversations feature a more personal look into the science of psychology with dashes of history and insight that are sure to provide new perspectives. The discussion is thoughtful but doesn't take itself too seriously. Minhaaj has a knack for asking thought-provoking questions that open up his guests thoughts and views of the world.