How will AI and analytics change life in the next 25 years? In this episode, we look forward to the next 25 years and will share predictions about the technological innovations prevalent then based on a projection of AI and analytics forward.

1. The Future Based on
Artificial Intelligence and
Analytics
Presented by: William McKnight
“#1 Global Influencer in Data Warehousing” OnAlytica
President, McKnight Consulting Group
3 X
@williammcknight
www.mcknightcg.com
(214) 514-1444
Second Thursday of Every Month, at 2:00 ET
Inc 5000

2. KATANA GRAPH |
TM
Katana Graph
June 23, 2022 - Abhishek Mehta
Data Architecture Strategies: Business Intelligence
& Data Analytics– An Architected Approach

3. KATANA GRAPH |
TM
KATANA GRAPH |
TM
Confidential 2
High Performance Scale-out Graph Processing & Analytics
Founded in March 2020, offices in Austin, Bay Area,
NYC, Denver
Co-founders: Keshav Pingali and Chris Rossbach
Investors: Intel Capital, Dell Venture Capital, Redline Ventures,
Walden International
Katana team: Leaders in graph algorithms, programming
languages, runtimes, virtualization and storage.
Commercial engagements with several Fortune 100 companies
Website: www.katanagraph.com
Company Overview

4. KATANA GRAPH |
TM
Leadership Team
Confidential 3
Gurbinder Gill
PhD UT Austin
VMWare, Facebook,
MSR , IBM Research
Roshan Dathathri
PhD UT Austin
NI, MSR, HP Labs
Emmett Witchel
Prof UT Austin
InCert, Veritas,
Symantec
Bo Wu
Prof Colorado
School of Mines
Graph mining expert
Donald Nguyen
PhD UT Austin
Google, Synthace,
Determined AI
Tyler Hunt
PhD UT Austin
MSR, Visa Research,
Bell Labs
Jon Currey
University of Cambridge
Distributed Systems,
Machine Learning
MSR, Apple (iTune), Oracle
Yige Hu
PhD UT Austin
File System,
Fault Tolerance
Amy Chang
Board Advisor
BOD P&G, Cisco, Disney
UCSF Hospital Exec Committee
Deans Advisory Council
Stanford University
Ying Ding
Data Science Advisor
Professor UT Austin
Medical/ Pharma Knowledge Graph,
Machine Learning
Co-founder Data2Discovery
Keshav Pingali
CEO, Co-founder
Prof UT Austin
Fellow ACM, IEEE, AAAS
Chris Rossbach
CTO, Co-founder
Prof UT Austin
MSR, Vmware, Canesta
Farshid Sabet
CBO, Co-founder
Intel, Modvidius,
Aptina, SanDisk

5. KATANA GRAPH |
TM
KATANA GRAPH |
Graph Technology
Application Areas
04
Platforms
Finance
Healthcare
Retail
Energy Industrial
Telecom
Genomics Anti Money
Laundering
Drug
Discovery
Identity
Graph
Precision
Medicine
Electronic
Circuit Design
Tools
Knowledge
Graph
Predictive
Monitoring
Intrusion
detection
Supply Chain
Optimization
Fraud
Detection
Real Time
Analytics
Customer
360
Recommendation
Social
Networks

6. KATANA GRAPH |
TM
KATANA GRAPH |
TM
Why Katana Graph
Confidential 5
Architected to handle massive graphs
• Tested with largest publicly available
web-crawl: WDC12 (3.5B vertices, 128B edges)
Unmatched performance
• 10x - 100x times faster vs competing solutions
Massive scalability
• Proven on Open Cloud HPC Clusters
(AWS , Azure, Google Cloud)
• Scales up to 256 machines on Stampede Xeon
(Skylake) Cluster
Native AI/ML with Graphs
• Health and Life Sciences (HLS), Financial, Identity
Management, Intrusion detection, EDA (Electronic
Design Automation), HPC (High Performance
Computing) application: 3D mesh generation

7. KATANA GRAPH |
TM
Graph Compute Domains
Confidential 06
Graph Database
(Query)
Graph AI
& Machine
Learning
Graph
Analytics &
Mining
Probability

8. 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: 3-time Inc. 5000 strategy & implementation
consulting firm
2
William McKnight
The Savvy Manager’s Guide
The
Savvy
Manager’s
Guide
Information
Management
Information Management
Strategies for Gaining a
Competitive Advantage with Data

9. 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

10. The Future
4

11. Macro Factors
5

12. 1997 computing
6

13. NOW
7

14. AI Whiskey, AI Music, AI Paintings
8

15. Deepfakes, Sophia & Identifying People

16. Reading
10

17. Healthcare
• Genomic medicine
• Virtual visits
• Tele-health and AI Triage
• AI Diagnostics
• Robotics Automating Lab Work
11

18. Transportation Technology
12

19. Coding
13

20. Debuild.co
14

21. 15

22. GPT-3
16

23. Song Lyrics
17
https://lyrics.mathigatti.com/

24. Journalism
18
18

25. Einstein Conversation
19

26. Fake People
20

27. Simplification
21

28. Understanding Objects
22

29. Common Sense
23

30. FUTURE
24

31. AI Companions
25

32. Sensors
26

33. Medicine
27

34. Genetic Modification
28

35. Metaverse
• Lighter and higher-resolution headsets and
haptic gloves
• VR chairs, vests, scent generators, and
better directional sound systems
• Avatars fully virtual agents
• Surgical implants to the metaverse
29

36. Quantum Computing
• Qubits
• All calculations happen at the same time
• Most effective at searching large databases
• Thousands of times faster than a traditional
computer
30

37. Transportation
• Majority of automobiles electric
– Fueling in 10 minutes
• Driverless and autonomous
• New fleets
• Highly reduced parking
• High speed trains 700 MPH
• Supersonic aircraft
– Starships NY to London 30 minutes
31

38. Drones
• Floating or vertical warehouses delivering
packages
• Urban transportation
• Airbus drone-like popup concept
32

39. Food
• Plant-Based Meat
• Lab-Grown Meat
• Indoor/vertical/city farms
33

40. Cameras and Audio Recording Everywhere
• Cameras Will Be Invisible
• Your Profile Will Be Evident
• AI Will Decide Our Fate
• Society Will Be More Controlled
34

41. Work

42. Enterprise Analytics
• Modular Datacenters
• Data is on the balance sheet
• Edge Computing and Edge AI
• The need to store data will be reduced
• Automated Data Discovery
• The need for Explainable AI will go away
• The Majority of Data Jobs Will Be
Automated

43. We are at the start of General AI
• We have 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.
– AI is starting to have 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.
37

44. Risks to Better Lives in 2050
• Existential Threats
• Cybersecurity/Spam/Phishing
• Misinformation and Fake News
• Social Engineering and Economic Control
• Mistakes
38

45. The Future Based on
Artificial Intelligence and
Analytics
Presented by: William McKnight
“#1 Global Influencer in Data Warehousing” OnAlytica
President, McKnight Consulting Group
3 X
@williammcknight
www.mcknightcg.com
(214) 514-1444
Second Thursday of Every Month, at 2:00 ET
Inc 5000