ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?
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The document presents a vision for the world in 2045 highlighting the advancements and implications of artificial intelligence across various sectors, including healthcare, transportation, and food production. It emphasizes the rise of general AI, with notable examples like GPT-3, and discusses the emergence of autonomous technologies and data-driven decision-making processes. Additionally, it outlines potential risks related to misinformation and societal control through pervasive surveillance and AI decision-making.
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?
- 1. The World in 2045: What Has Artificial Intelligence Created? Presented by: William McKnight “#1 Global Influencer in Data Warehousing” OnAlytica President, McKnight Consulting Group 2 X @williammcknight www.mcknightcg.com (214) 514-1444 Second Thursday of Every Month, at 2:00 ET Inc 5000
- 2. William McKnight President, McKnight Consulting Group • Frequent keynote speaker and trainer internationally • Consulted to Pfizer, Scotiabank, Fidelity, TD Ameritrade, Teva Pharmaceuticals, Verizon, and many other Global 1000 companies • Hundreds of articles, blogs and white papers in publication • Focused on delivering business value and solving business problems utilizing proven, streamlined approaches to information management • Former Database Engineer, Fortune 50 Information Technology executive and Ernst&Young Entrepreneur of Year Finalist • Owner/consultant: 2018 and 2017 Inc. 5000 strategy & implementation consulting firm 2 William McKnight The Savvy Manager’s Guide TheSavvyManager’sGuideInformationManagement Information Management Strategies for Gaining a Competitive Advantage with Data
- 3. McKnight Consulting Group Offerings Strategy Training Strategy § Trusted Advisor § Action Plans § Roadmaps § Tool Selections § Program Management Training § Classes § Workshops Implementation § Data/Data Warehousing/Business Intelligence/Analytics § Master Data Management § Governance/Quality § Big Data Implementation 3
- 4. The Future 4
- 7. Companions 7
- 8. Sensors 8
- 9. Medicine 9
- 10. AI Whiskey, AI Music, AI Paintings 10 https://techcrunch.com/2019/05/15/oh-no-theres-a-i-whiskey-now/
- 11. Deepfakes, Sophia & Identifying People
- 12. Reading 12
- 13. 13
- 14. GPT-3 14
- 15. Country Song 15
- 16. Journalism 1616
- 18. Fake People 18
- 21. Common Sense 21
- 22. Healthcare • Microsoft + JAX labs for Healthcare AI – Genomic medicine researchers at the laboratory have been using artificial intelligence to help manage the vast amount of research data needed to power its precision oncology initiatives • Virtual visits • Tele-health 22
- 23. Transportation Technology • Amazon acquires auto vendor Zoox • Amazon will focus more on integrating the technology into its distribution network than building a fleet of cars. 23
- 24. Coding 24
- 25. Debuild.co 25
- 26. Risks • Misinformation • Fake news articles • Social engineering • Spam/Phishing • Mistakes • Economic Control 26
- 27. We are at the start of General AI • GPT-3 has opened a new chapter in machine learning. – Its most striking feature is its generality. – Only a few years ago, neural networks were built with functions tuned to a specific task, such as translation or question answering. Datasets were curated to reflect that task. – GPT-3 has no task-specific functions, and it needs no special dataset. It simply utilizes as much text as possible and plays forward its output. • Somehow, in the calculation of the conditional probability distribution across all those gigabytes of text, a function emerges that can produce answers that are competitive on any number of tasks. • It is a breathtaking triumph of simplicity that probably has many years of achievement ahead of it. 27
- 29. Geographies 29
- 30. Modular Datacenters 30 • Public and private space initiatives have been popping up with regularity, such as new constellations of micro-satellites from companies like Amazon and Elon Musk’s SpaceX that will beam the internet to the farthest reaches of Earth. • Microsoft has teamed up with SpaceX — which has already launched dozens of its Starlink satellites into low earth orbit (LEO) — to provide internet access to new Azure Modular Datacenters (MDCs). These are designed for “extreme environments” where traditional datacenter infrastructure doesn’t exist. • The MDCs can function entirely offline, meaning customers can still access Azure cloud processing capabilities in areas without connectivity. • Microsoft also said it’s extending its existing partnership with SES, which provides its medium Earth orbit (MEO) satellite service to Azure Orbital, to cover connectivity between Microsoft’s various cloud datacenter regions and cloud edge devices. • While Microsoft and other tech giants have already invested heavily in subsea cabling and terrestrial infrastructure, vast areas of the Earth — whether in deserts, on mountains, or in the middle of the ocean — receive limited or no internet bandwidth, a problem Microsoft is looking to solve with Azure Space.
- 31. Transportation • Majority of automobiles electric – Fueling in 10 minutes • Driverless • New fleets • No parking • Fully autonomous • High speed trains 700 MPH • Supersonic aircraft • Elon Musk: Starships NY to London 29 minutes 31
- 32. Food • Meat Alternatives • Cultured Meat • Indoor/vertical/city farms 32
- 33. Drones • Floating or vertical warehouses delivering packages • Urban transportation • Airbus drone-like popup concept • Elon Musk The Boring Company Tunnels 33
- 34. Cameras and Audio Recording Everywhere • Cameras Will Be Invisible • Your Profile Will Be Evident • AI Will Decide Our Fates • Society Will Be More Controlled 34
- 35. Top Trends in Enterprise Analytics • Data is on the balance sheet • Explosion in Sensor-Based Time-Series Data • Edge AI • Hybrid Databases
- 36. • The need to store data will be reduced • Companies will operate with millions of key variables updated with each new data point • That, in turn, automatically execute the proper next best action • Next best action determined by AI • The need for Explainable AI will go away Upon Data Creation
- 37. • Automated Data Discovery • Auto-generated pipelines based on global experiences • Joins by data and context • AI trounces BI The Vast Majority of Data Jobs Will Be Automated
- 38. Work
- 39. Second Thursday of Every Month, at 2:00 ET Presented by: William McKnight President, McKnight Consulting Group www.mcknightcg.com (214) 514-1444 #AdvAnalytics