Earley AI Podcast

In this episode, Seth and Chris talk with Mark Anderson about the new field of pattern discovery and its impact on AI.

Highlights:
11:45 Path to pattern discovery
17:15 Eliminating the  hypothesis and focus on the data with a Y value
30:00 Solving the most challenging problems with pattern discovery
40:00 Making sure this technology is only used for good
42:15 Identifying a COVID test that is 98% effective within minutes
44:30 Pattern recognition processors
48:30 The importance of clean data and making the most of the data you have
52:00 Best use cases for pattern discovery

Links:
Book: The Pattern Future: Finding the World’s Great Secrets and Predicting the Future Using Pattern Discovery  https://www.amazon.com/gp/product/B07659RJGB/ref=dbs_a_def_rwt_bibl_vppi_i0

About Pattern Computer https://www.patterncomputer.com/

Paper: Learning from learning machines: a new generation of AI technology to meet the needs of science https://arxiv.org/abs/2111.13786

Contact Mark:

• https://www.linkedin.com/in/markandersonpredicts/

Thanks to our sponsors:

• Earley Information Science
• CMSWire
• Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Tim Huckaby about the his experience as a software developer in the 90s and his take on the future of AI and computer vision.

Highlights:

4:30 Developing software at Microsoft in the 90s
11:00 Hollywood stories
14:30 Leaving Microsoft and building an app dev firm
17:00 Building CNN's "Magic Wall"
22:30 Predictions gone wrong and right
29:00 Pace of change in ML - quantum computing
38:00 Augmented reality and computer vision
48:00 AI and ethics

Contact Tim:

• https://www.linkedin.com/in/timhuckaby/

Thanks to our sponsors:

• Earley Information Science
• CMSWire
• Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Sean Martin about the development and practical applications of knowledge graphs.

Highlights:

5:30 – First online sports scoring website launched
9:00 – First forays into semantics applications
13:00 – Getting through scaling issues
16:30 – On needing to build the entire stack for knowledge graphs 
18:00 – The business problems that Cambridge Semantics solves
24:45 – Dealing with and making sense of unstructured content
29:30 – Data models for natural language queries
32:00 – About the book “The Rise of the Knowledge Graph”
34:00 – What is an ontology and how does it relate to knowledge graphs
42:30 – What’s next?

Contact Sean:

• https://www.linkedin.com/in/seanjmartin/

Get the book: The Rise of the Knowledge Graph

• https://info.cambridgesemantics.com/the-rise-of-the-knowledge-graph-oreilly

Thanks to our sponsors:

• Earley Information Science
• CMSWire
• Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Paul Zhao about making AI more accessible for everyone.

Highlights:

5:00 on being a tech entrepreneur
30:00 after the buy out challenges - what now?
39:00 advice to the non-technical on gaining business value with AI/ML
50:00 on build vs buy 

Contact Paul:

• https://www.linkedin.com/in/ppzhao/

Thanks to our sponsors:

• Earley Information Science
• CMSWire
• Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Paul Lasserre about his experience developing applied AI applications. 

Highlights:
4:15 Link between AI and chasing pirates in the Navy
7:00 On getting into customer experience as a ML problem
10:00 On the challenges of internally selling new ideas
15:00 On measuring success
18:30 On rules vs machine learning
26:30 Creating a better customer experience
28:00 On leaving Genesys and moving to AWS
35:30 How to give people the support they want
42:00 What he's working on now and what's next

Contact Paul:

• https://www.linkedin.com/in/paul-lasserre/

Thanks to our sponsors:

• Earley Information Science
• CMSWire
• Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Henrik de Gyor about his research on synthetic media.

Highlights:
11:15 Defining synthetic media
13:30 Rights management
19:14 Nefarious applications
21:30 Provenance  & Ethics
37:00 Applications and tools today
48:30 Future applications

Links

Book: Synthetic Media: The Next Reality
https://www.amazon.com/gp/product/B09MJW7BX1/

Podcast: Synthetic Media
https://open.spotify.com/show/5N7Qnx1qI1QOo6Q6T5jziJ

Synthetic Futures

Contact Henrik:

• https://www.linkedin.com/in/hdegyor/

Thanks to our sponsors:

• Earley Information Science
• CMSWire
• Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Linda Andersson, Founder & CEO of Artificial Researcher about AI powered semantic search.

Highlights:
5:00 - Linda's journey to her work
14:20 - Domain knowledge and ontologies
17:07 - Knowledge extraction
20:05 - Why we need ontologies
20:50 - Bias and not knowing what you don't know
25:40 - Structuring and curating the knowledge base
30:00 - Supervised vs semi-supervised models
38:15 - What is Academia missing
43:30 - Getting the right start for AI projects

Links

Information about Artificial Researcher

• https://artificialresearcher.com/ 
• www.linkedin.com/company/artificialresearcher

Demo pages for index and the ontologies generated by the Artificial Researcher Data pipeline solution:

• https://passageretrieval.artificialresearcher.com/ 
• https://graph-demo.artificialresearcher.com/

Contact Linda:

• https://www.linkedin.com/in/linda-andersson-76483916/
• https://calendly.com/artificial-researcher

Thanks to our sponsors:
Earley Information Science
CMSWire
Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Adam Sutherland about AI and machine learning in media and content.

Highlights:
2:20 Adam talks his journey from Asian studies to Amazon.
12:00 A day in Adam's life and cool problems customers are solving
17:30 Why we still can't find what we want on streaming services
21:00 Biggest barrier to entry to AI enhanced solutions
24:00 Best practices for tagging media assets
25:00 When developing a bespoke model is the right decision
28:30 AI isn't perfect but sometimes that's fine
30:00 Personalization and recommendation engines
34:30 Data lakes plus content metadata
37:00 Emerging trends and techniques (really cool AI stuff in media)
42:45 Predictions for the future

Links


Contact Adam:
https://www.linkedin.com/in/adamrsutherland/


Thanks to our sponsors:
Earley Information Science
CMSWire
Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Massood Zarrabian, CEO at BA Insight about how enterprise search is evolving - getting better (bringing greater value) and costing less.

Congratulations to BA Insight on receiving the KMWorld 2021 Readers' Choice Award - Best Enterprise Search!

Highlights:
1:15 Massood's road from a Civil Engineering degree from MIT to BA Insight.
5:00 Massood's philosophy on growing teams and companies - and how theater has influenced him
8:25 Can enterprise search be like Google?
13:30 Unstructured vs structured data
17:45 The maturing of enterprise search
26:00 The last mile in enterprise search
32:00 Building, maintaining, training your Index
39:00 Bots and users don't care where the content lives
42:30 Role of an information reference architecture
49:00 Role of automation for tagging
52:30 The future of enterprise search

Contact Massood:
[email protected]
https://www.linkedin.com/in/massoodzarrabian/

Links:
BA Insight website
The AI Powered Enterprise

Thanks to our sponsors:
Earley Information Science
CMSWire
Marketing AI Institute

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

In this episode, Seth and Chris talk with Mike Kaput, Chief Content Officer at Marketing AI Institute, about how out-of-the-box AI is providing immediate value to businesses of all types. 

Highlights:
4:04 Mike's day to day & background
11:30 Use cases & Planning
28:02 Ethics  & Bias
36:45 Where do you start with AI in marketing?
40:00 Differentiation vs Standardization
43:30 Barriers to entry
47:35 Humans in the AI loop

Contact Mike:
[email protected]
https://www.linkedin.com/in/mikekaput/

Links:
Marketing AI Institute
MAICON 2022
State of Marketing AI Report
The AI Powered Enterprise

Thanks to our sponsors:
Earley Information Science
CMSWire

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book