Data Myths
Brian Gagnon, Datamyths.com
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Top 10 Data Myths Episodes
Goodpods has curated a list of the 10 best Data Myths episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Data Myths for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Data Myths episode by adding your comments to the episode page.
The Rise and Fall of Robots
Data Myths
03/06/19 • 45 min
Summary: Can companion robots change how society interacts? How did iRobot become a success in the robot field? Will we see lawn mowing robots in the not-too-distant future? Brian and Malinda host Jon Morgan, product manager at Google, to discuss all things robot-related. In this episode, we take a closer look into robot fails, the statistics, and why the surgical board still considers these “fails” as a success. Jon and Brian discuss the numbers on autonomous driving and how insurance companies factor in risk with cost. Will people embrace robots more once they understand their true value? Find out on this episode of Data Myths.
What We Covered:
1:00 - Introducing Jon Morgan, a product manager at Google in the hardware division. - Powered by Zencastr
2:00 - Podcast 1: All Things CES 2019 - Looking at relevance in robotics and in the consumer robotics industry.
5:00 - People are buying services, not just robots.
13:00 - Cute robots are changing the way people perceive robots in a positive way:
- Aibo - Sony robot dog
- Pleo - Robot Dinosaur
- Paro - Therapy Robot
- Lovot - Japanese companion robot
- HRI - Human Robot Interaction
18:00 - What makes something a robot?
22:00 - Why are robotics companies dying off?
28:00 - How iRobot thrived in the robot marketplace.
33:00 - Robots in the European market.
36:00 - Robot Fails:
- Robots used in the medical field
- Autonomous car fails
- Security robot fail
- Podcast 3: Considering Autonomous Driving Things
43:00 - Curiosity Rover - NASA
The Business of Gaming
Data Myths
04/10/19 • 45 min
Summary: Who will be the Netflix of gaming? How do you make a gaming platform stickier? How do you keep users engaged and entertained? Brian and Malinda discuss changes in the gaming industry, what new platforms are coming to market, and how these competitors may disrupt the gaming industry. Brian breaks down some need-to-know acronyms and helps listeners wrap their heads around the business of gaming. An episode that is sure to make both dataphobes and dataphiles question where is gaming going next.
What We Covered:
1:00 - Shopify and Mailchimp Podcast
1:00 - Gaming platform streaming services - Sony, Nintendo, Atari
2:00 - PAX and Uprise Partners - helping businesses launch, brand, and market new games
5:00 - Apple IOS - Developer - Game Center
13:00 - Google Stadia - Cloud Gaming Service
15:00 - PAX - Everyone is building games but they don’t know how to bring their games to market
16:00 - Content Curation Podcast
17:00 - Twitch - Live Game Play
21:00 - What is Snap’s platform going to look like?
24:00 - The Networking Effect Podcast
25:00 - EA (Electronic Arts) - Why is building a platform to capture the developer important?
27:00 - XCloud - Microsoft
30:00 - Is WalMart coming into the gaming industry? The difference between streaming video and gaming.
32:00 - What is a codec? Encryption and decryption algorithms
33:00 - What is CPU (Central Processing Unit) and GPU (Graphics Processing Unit)?
38:00- BitCoin
39:00 - What is TPU (Tensor Processing Unit)?
40:00 - What is a teraflop?
42:00 - Nvidia - What will happen next?
All Things CES 2019
Data Myths
01/18/19 • 54 min
Summary: Missed out on your chance to make to one of the biggest tech events of the year? Emerging from the experience of CES 2019, Brian and Malinda discuss cool tech, the AI “noise floor” debate, the lack of Alexa and where voice appears to be going for 2019. In a conference where the theme is “more” with IoT devices and 5G, why were some products left out? Subscribe and listen as Brian and Malinda discuss all things CES 2019.
What We Covered:
1:00 - A little about Brian and Malinda.
3:00 - Highlights of CES 2019 and Tech Trends: TV Tech, flexible phones, automation, drones, and IoT.
5:00 - Snowcookie - Technology to track your ski runs.
9:00 - Pet tech at CES 2019
10:00 - Techstars pitch competition CES 2019 (Clip in I'd Like a PhD With a Side of AI Podcast)
12:00 - What is thought diversity?
18:00 - People aren’t ready for fully autonomous technology - AC vs DC power example.
20:00 - Companion tech at CES 2019
23:00 - When will companies begin monetizing our emotions.
24:00 - Lora DiCarlo sex toy wins award and then is banned from CES 2019.
31:00 - Hey Google’s presence and Amazon’s Alexa absence.
34:00 - ESports at CES 2019
40:00 - The good and bad of personalized remarketing and how regulation will shape it.
44:00 - Curation vs Discovery - Can you discover anything new when remarketing is so focused on your past behavior?
46:00 - Is it really “the year of voice”?
Updated Intro and remastered on 2/24/2019
01/28/20 • 42 min
Summary:
It’s been a minute, but we’re back! Fresh from his trip to CES, Brian chats with Malinda about the highs and lows of this year’s show. From digital sky writers and ping pong playing robots to parallel reality and biomimetic pleasure devices, it was a year for the books. What better way to kick off Data Myths Season Two than a recap of what we saw at CES 2020 and what we can expect to see in the future.
What We Covered:
5:45 Brian recaps a few of his favorite things at CES including digital sky writers and ping pong playing robots.
10:55 Electro-mechanical devices rule. Remember the back flipping dog at CES 2019? This year Brian was impressed with Omron’s ping pong playing robot which can imitate slow and fast twitch muscles.
13:10 Standing ovation for Delta, who became the first major airline ever to keynote and exhibit at CES.
16:30 What is parallel reality and how could it shape the future?
17:28 Did somebody say magic pixel? Meet MisappliedSciences, the creators of magic pixel.
19:45 Brian saw plenty of AI-enabled products like Brunswick Boats and Doosan.
21:22 John Deere upped their game this year by exhibiting a sprayer that could reduce herbicide use up to 90%.
24:49 Remember Lora DiCarlo? Where is she now and how were her products received at CES 2020 compared to CES 2019?
28:24 How has the trade war with China impacted its CES 2020 presence?
31:20 Why can’t American forces use Tik Tok anymore? Spoiler alert: security breach.
32:49 It’s 2020 and we’re still talking about 5G at CES (and autonomous cars too).
35:50 Tired of managing different apps for different shows? Meet Dabby.
37:50 Brian’s thoughts on the virtual humans at CES.
39:13 Brian’s impossible battle with Impossible Pork at CES 2020.
Don't Let Curation Kill Discovery
Data Myths
02/20/19 • 45 min
Summary: Are people considering their content sources, or consuming content blindly? Can users discover content without the influence of curation? Are algorithms making the world less interesting? Brian and Malinda explore the complicated world of curation and debate whether or not discovery is dead. Malinda challenges society to be good stewards and read content outside their comfort zones. Brian grows frustrated on his quest to find discovery tips that aren’t simply algorithms on top of algorithms on top of algorithms. How will companies reach consumers outside their target market without being irrelevant or annoying? Is curation just one big ponzi scheme? Listen now to learn more about the pros and cons of curated news.
What We Covered
2:00 - In the US, over 40 percent of people use Facebook to get their news. 10 Facts about Americans and Facebook
3:00 - Brian and Malinda define curation and discovery.
5:00 - Filtered News - Example of New York Times personalized news feed on their app. The NYT adds a personalized 'news feed' to its ios app.
9:00 - Brian and Malinda make the case that newspapers are more for discovery while Facebook is more for curated content.
12:00 - World Wide Web Foundation - The Invisible Curation of Content
19:00 - Buffer Content Creation - How to Curate Content: The Secret Sauce to Getting Noticed, Becoming an Influencer, and Having Fun Online
33:00 - Brian and Malinda come to the conclusion that hashtags are more discovery friendly than algorithms.
35:00 - Ad Blocking - Chrome ad blocking extension
37:00 - Brian and Malinda discuss how algorithms play a role in what we listen to.
41:00 - Oleg on LinkedIn
Romancing the Blockchain: Are We Ready?
Data Myths
06/05/19 • 45 min
In this special episode of Data Myths, Brian and Malinda travel virtually to Liechtenstein to host Thomas Nägele and Alexis Esneault. Thomas is a blockchain expert and managing partner of NÄGELE Attorneys at Law. Alexis is an attorney at the firm and also specializes in blockchain and distributed ledger technology. With blockchain and cryptocurrency being relatively new, it’s important to think about what practical uses are. How will it affect how we do business? What are its potentials? And most importantly... What is it? Join Brian, Malinda, Alexis, and Thomas to learn more about the world of blockchain.
What We Covered:
1:00 – A little about our guests: Thomas Nägele and Alex Esneault from Nägele Attorneys at Law LLC
6:00 – House of Blockchain – Coworking space in Liechtenstein.
8:00 – What are bitcoin and blockchain? What’s the difference?
11:00 – Environmental impact of cryptocurrency and blockchain.
13:00 – What steps have been taken in Liechtenstein to make sure cryptocurrency or blockchain could be applied in a practical way?
15:00 – Bitcoin vs the Bank
16:00 – The Liechtenstein Blockchain Act
17:00 – Major changes that need to happen to advance the application of blockchain technology: regulation and ease of use.
21:00 – Welcome to the Age of Assets: Brokers vs. Owners episode – Companies are waiting for clearer regulations before moving into new markets.
22:00 – What are the differences between cryptocurrencies?
22:00 – Proof-of-work vs Proof-of-stake.
24:00 – What are smart contracts?
27:00 – I’d Like a PhD With a Side of AI episode – Automating repeatable tasks and re-honing the workforce to be thinking about places of opportunity.
31:00 – European Union’s involvement in blockchain.
34:00 – Tokenization and a token economy – Turning illiquid assets liquid.
37:00 – Are banks losing control to cryptocurrencies?
42:00 – Should you be involved in cryptocurrency?
When Does Facebook Lose Our trust?
Data Myths
02/13/19 • 48 min
Summary: When does it become unethical for large companies like Facebook and Google to take advantage of the data they collected? Is it already unethical? Why has Brian broken up with his Apple Watch? Brian and Malinda cover tech, ethics, privacy, and the tipping point of when people start losing trust in the digital platforms they use daily. This podcast explores how Facebook is using Its user’s information and user privacy when involving minors among a string of additional questionable actions. Hearing about data breaches is becoming a norm and people are shrugging it off, but is that the best response? Listen to find out about Google and Facebook’s different responses to data breaches.
What We Covered:
1:00 - Apple and Facebook in the News - Apple bans Facebook’s Research app that paid users for data.
3:00 - TechCrunch App investigation in the Facebook Research app, and Apple banning the Facebook Research app.
6:00 - What is a VPN?
9:00 - Apple Data Protection - Apple Privacy Governance and iOS Security.
16:00 - GDPR Key Changes and the California Consumer Privacy Act.
22:00 - Onavo Privacy Policy
25:00 - HouseParty - An app similar to FaceTime with multiple people.
26:00 - WhatsApp and Bonfire: Group Video Chat
28:00 - Google apologizes for issues on their app.
33:00 - Consumers shrugging off data breaches because it's becoming a norm.
36:00 - GlassBox, Facebook Research app, and sensitive information not covered.
38:00 - The consumer tipping point, when does it start becoming a problem?
41:00 - Password Checkup - Informs users when they need to change their passwords.
45:00 - Heads Up - App game
Is Hi-Fi Audio Dead in a Digital World?
Data Myths
06/12/19 • 44 min
Summary: Sure we’ve seen a major uptick in vinyl record sales, but what does that mean for the future of sound? Will higher quality audio beat out convenience? What is the difference between AM and FM radio? Will Malinda reunite with her iPod shuffle? Will Bose engineers everywhere be buying Brian voodoo dolls? Brian and Malinda discuss audio industry trends as well as their own experiences with audio technology in their everyday lives. Listen to this week’s episode to hear more.
What We Covered:
2:00 – War and conflict played a major role in communication and audio.
3:00 – Invention of the phonograph.
4:00 – What is audio fidelity?
6:00 – What is Ham radio?
7:00 – FCC begins regulating amateur radio services.
8:00 – What’s the difference between AM and FM Radio?
9:00 – The transition to vinyl records.
12:00 – 1963 Phillips cassette is released and disrupts the record industry.
13:00 – Rise of the CD – Overtook cassette sales in 1988.
17:00 – Cultural changes toward portability are killing quality.
19:00 – Tidal and Qobuz - High fidelity streaming services.
21:00 – Sonos is changing the home audio game.
23:00 – Wireless technology is changing how we listen
24:00 – Apple pulls headphone jack.
25:00 – All Things CES 2019 episode – Choosing between wired and wireless.
26:00 – Similar changes are happening in the camera industry
27:00 – Super X-fi and Sony 360 Reality Audio are changing the headphone industry.
30:00 – Bose vs Beats – Focusing on quality or design.
31:00 – Nokia is developing spatial audio recording.
33:00 – Podcasting and phones have helped shape the microphone industry.
35:00 – Social sharing has changed how audio is shared.
36:00 – A Podcast about Podcasts episode – The crowded podcast market has caused a need for higher audio quality podcasts.
42:00 – Vinyl’s revival – 2017 had the highest number of vinyl’s sold since 1991.
05/29/19 • 46 min
Summary: In today’s digital advertising landscape, it’s harder than ever to stand out from the crowd and grab a consumer’s attention. So what’s a company to do? In this episode of Data Myths, Malinda walks us through the complex and evolving world of digital advertising. Reviving the “Data Myths Leaders and Losers” segment, Malinda breaks down everything from Google’s dynamic advertising to the future of cashing in as an influencer. Is traditional advertising dead? Can anyone take over Google as the top advertising platform? What does it take to catch a consumer’s eye? Listen to this week’s episode to find out.
What We Covered:
4:00 – Digital vs traditional advertising.
6:00 – Different types of Google Ads: Text, shopping, display, video
6:00 – What is a dynamic ad?
7:00 – What is a native ad?
9:00 – Consumers are now accustomed to free content and fed up with ads.
12:00 – Influencer Marketing
14:00 – Regulations are growing in influencer marketing for consumer transparency.
15:00 – Augment My Reality Please episode – Fyre festival’s use of influencer marketing.
21:00 – Digital advertising spend eclipses traditional advertising
22:00 – Google and Facebook’s ad duopoly.
23:00 – Will there be a scarcity of resources as users run out of time in the day?
26:00 – Leader: Google – 34 percent of consumers’ time online is on Google or a Google-owned site.
28:00 – Loser: Facebook – Usage has been declining
29:00 – Leader: Amazon – “The Amazon Effect: Love to Hate it, or Hate to Love it?” episode.
29:00 – Losers: Microsoft and Verizon – Losing market share.
30:00 – What are out of home ads?
31:00 – Influencer marketplace is getting crowded.
33:00 – Don’t Let Curation Kill Discovery episode – It is hard to find true creators
35:00 – Welcome to the Age of Assets: Brokers vs Owners episode – Brokers have an advantage now, but creators may begin to gain ground in the digital space.
39:00 – What will the relationship between creators and brokers look like in the future?
43:00 – Google and Facebook provide a good digital ecosystem for tracking attribution and click path to help brands understand their data.
44:00 – What is ad verification?
Tesla: 100 Years Too Early
Data Myths
04/02/20 • 47 min
Summary:
In this episode, Brian and Malinda discuss a man whose work is still only starting to be understood today - Nikola Tesla. Who was he, and how did he become an inventor? What kinds of technology did his inventions include? We take a look at some of his creations and uncover why his name is not always associated with them. We also discuss his history with Edison, the battle for powering New York City, and why Tesla had so much trouble with his patents. Join us as we look into this man’s history and how his work is just starting to be available to the world - 100 years after his time.
What We Covered:
- Nikola Tesla was a young mathematical mind with an inventive mother born in modern-day Croatia.
- The invention of AC Power - how this relates to AC vs DC and the battle with Edison to power our cities and how this resulted in the invention of the electric chair.
- The invention of wireless power, the induction motor, the "Tesla coil" and radio, x-ray, radiograph, neon signs, arc lighting (xenon headlights), and more. (There are 300 patents in his name with more credited in other's names).
- What technically is a robot?
- Why does Tesla not get credit for his inventions?
- The work he was doing had a lack of commercial application, which meant he had trouble getting traction until he started working with Westinghouse.
- What would have helped Tesla be more successful? Should Tesla have had a business partner? What is slow tech?
- Game Time: Fantasy Startup Team.
- The amount of work that Tesla did is still not fully understood. We are just starting to implement some of his inventions in our lives.
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FAQ
How many episodes does Data Myths have?
Data Myths currently has 26 episodes available.
What topics does Data Myths cover?
The podcast is about Marketing, Society, Data, Environment, Growth, Podcasts, Big Data, Economics, Technology, Sales, Debate, Business, Artificial Intelligence, Data Science, Machine Learning and Ethics.
What is the most popular episode on Data Myths?
The episode title 'The Rapid Shift to a Remote Digital World' is the most popular.
What is the average episode length on Data Myths?
The average episode length on Data Myths is 46 minutes.
How often are episodes of Data Myths released?
Episodes of Data Myths are typically released every 7 days.
When was the first episode of Data Myths?
The first episode of Data Myths was released on Jan 18, 2019.
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