Machine Learning

Episode 13: 2038: A Smart Port Story

October 25, 2019 Matthew Wittemeier 5G, Artificial Intelligence, Big Data, Design, General, Machine Learning, User Expeirence, Virtual and Augmented Reality, Wearables 32:27

We rarely know what the future is going to look like, what impact the tech buzzwords of today will have. But there are those among us who try and predict that future, to envisage what today’s technology will grow into in 10, 20 years’ time. This episode takes a break from reviewing the buzzwords of today, so to speak, and travels forward to the year 2038 with co-authors Dr. Eva Savelsberg and Matthew Wittemeier from INFORM’s Logistics Division to explore the world they’ve created in their sci-fi novella 2038: A Smart Port Story.

Show Notes

Buzzword introduction (00:32)

Spoiler Alert: David’s back! (00:50)

Introductions

Introduction to the Authors (01:31)

Why write a fictional novella about technology? (02:33)

What does it take to write a novella? (27:31)

Emerging Technologies

5G (05:09)

VR and AR (05:28)

AI and ML (06:15)

Societal Impacts

The anti-tech movement (08:49)

Impact of automation (09:52)

2038: A Smart Port Story

The storyline (10:51)

Unforeseen outcomes (13:30)

Is there a plan to continue the story? (27:11)

Where can you find the novella (hint, look further down the page) (30:56)

AI and the Future

European Legal-force for AI Responsibility (ELAIR) (15:01)

AI as a black-box (17:15)

General AI and Super AI (18:58)

AI in Terminal Operations (23:52)

A Good Read

Bigger than ports? (20:30)

Multiple layers (20:42)

Challenging the science (21:41)

Diversity (22:00)

 

Read the Story

2038: A Smart Port Story Part I and II (INFORM)

 

Guest Speaker Details

Matthew Wittemeier from INFORM’s Logistics Division

Dr. Eva Savelsberg from INFORM’s Logistics Division

 

 

Episode 04: Artificial Intelligence, Machine Learning & Operations Research

March 15, 2018 David Weaver Artificial Intelligence, Machine Learning 33:18

In episode 04, I sat down with Dr. Ulrich Dorndorf to discuss the topics of operations research, artificial intelligence and machine learning. Ulrich is the chief technical officer for INFORM Software and is a member of the executive board for the operations research association based in Germany.

In this episode, we look at some general definitions for these technologies and how we are interacting with them on a daily basis. We dive into several practical examples of how businesses can benefit from their successful implementation as well as the changing role of humans within some industries. While predicting the future in the tech space is often a shot in the dark, we nevertheless discussed how these technologies may further impact our lives in the coming years. So without further ado, here is my interview with Dr. Ulrich Dorndorf:

Show Notes:

Introduction Ulrich Dorndorf (2:35)

Interesting Artificial Intelligence (AI) Headlines from recent weeks (3:37)

Definition AI (7:11)

Definition Machine Learning (ML) (8:58)

Have ML capabilities reached their limits? (11:10)

Operations Research (OR) (12:37)

Are AI and OR complimentary technologies? (16:18)

Examples of AI applications in the business world (18:21)

Is the end of human work in some industries upon us? (23:04)

Are AI powered robots going to take over the world? (26:05)

Predictions for these technologies in the coming years (29:28)

Episode 01: Fighting Tech Savvy Fraudsters with Tech

January 30, 2018 David Weaver General, Machine Learning 00:23:43

In this episode, I sat down with Michael Skiba, better known in the fraud fighting community as “Dr. Fraud”. Michael is an international expert on economic crime. He holds an MBA and a PhD with a research focus on fraud and economic crime and is considered one of the leading researchers in this area. He has been a college professor for more than ten years and currently holds the role of Program Chair of Criminal Justice at Colorado State University Global Campus.

Our conversation covered the importance of leveraging today’s technology to fight the tech-savvy cyber criminals. We also cover some of the trends that can help keep financial institutions safe in 2018 and some of the steps businesses can take to curb the costs associated with cybercrime.

Show Notes

Dr. Fraud background / research focus (2:30)

Psychology of Fraud (4:19) Link to book on Amazon >> Psychology of Fraud

Most at-risk industries targeted by economic criminals (7:00)

Trends financial institutions could keep an eye on to help keep them safe in 2018 (8:33)

What can banks do to better protect themselves from fraud (11:42)

Identifying outliers in banking activity – digital fingerprints (14:30)

What role is machine learning playing in the fraud fighting space (15:47)

What sets the cyber criminal apart from other criminals? (19:05)

First steps businesses can take to curb costs associated with cybercrime (21:48)

If you have any questions for Dr. Fraud, feel free to leave a comment or reach out per email at buzzittalk@gmail.com

Subscribe to buzzITtalk:

Click here to listen to the Pilot Episode of buzzITtalk

Episode 0: buzzITtalk Pilot

January 18, 2018 David Weaver Analytics, Artificial Intelligence, Big Data, General, Machine Learning 0:10:04

Welcome everyone to the pilot episode of buzzITtalk – the podcast where we talk buzzwords and the latest trends within the tech industry – with the goal of helping businesses and decision makers go beyond the buzz.

In this episode I take you through some basic definitions so we are all on the same page when it comes to “buzz” “buzzwords” “IT” and the “Tech Industry”

Furthermore, I cover the overall goals we want to reach with the podcast.

As a quick text form summary:

Our aim is to create fun, entertaining, and most importantly, informative content in order to enable cross industry learning in the tech space. We will take the latest IT Buzzwords and put them to the test as far as actual business value is concerned. We will accomplish this by interviewing tech experts from various industries.

Hopefully I was able to peak your interest a bit in this pilot episode –  Thanks for tuning in! If you have any questions for me, feel free to send an email to buzzittalk@gmail.com – or and reach out to me on one of the various social media channels I have listed on the “show team” page. The same holds true if you are interested in being a guest on the show. If you have IT buzzword you would like to share your thoughts on, let me know!

Additional show notes:

Format of Podcast (1:54)

Buzz, Buzzword, IT Defined (2:45)

Goal of the Podcast (5:07)