Applied AI Pod

Alexandra Petrus
  • 5.0 (1)
  • TECHNOLOGY

- This podcast show is currently on a break. - Real AI talks with real people. Startup founders, startup engineers, AI community leaders, research scientists, innovation leaders, product builders, passionate AI practitioners - we talk to everyone! Grab a rounded perspective on how AI is used, tradeoffs for specific AI tools or methods, challenges in the space of AI technologies, and its future. New to AI concepts? Try the ‘Elements of AI’ 6-chapters course for an introduction to AI, and Building AI. It’s world #1 AI MOOC. And join some AI communities or other relevant AI-centered groups. Podcast available on all popular podcasting platforms or via assistants like Google, Alexa, or Siri.

  1. 02/14/2022

    AI for Real Estate Customer Goals, E33

    Episode highlights: 01:00 - Conversational AI for the future of marketing and sales, focus on the real estate industry.04:00 - How Structurely works and what it solves.06:50 - Benefits to businesses utilizing AI within their companies.10:55 - The future of real estate by use of machine learning.16:10 - Creating a more promising future for AI as a tool for positive outcomes. E.g. Zillow.23:00 - Conversational AI's next big challenges.References: Nate's LinkedIn profileNate's Twitter profileStructurely's Company Website

    26 min
  2. Scalable Reliance on AI for e-Invoicing, and AI Principles, E32

    12/27/2021

    Scalable Reliance on AI for e-Invoicing, and AI Principles, E32

    02:00 - Ada's performance, stories and metrics around. Size of the impact AI has in this space, as covered by Tradeshift.05:35 - Working with AI/ML teams.14:40 - Assessing how much data is needed for an AI project.18:45 - Data risks.24:25 - Is Agile good for AI teams?27:30 - How much does UX matter in e-Invoicing and ML/Data projects?36:35 - How can projects get derailed or fail? What should we watch out for.40:05 - Funny fails.41:50 - AI principles.References: Lloyd's Linkedin ProfileTradeshift's Ada technologyTradeshift's surpass of $1 trillion in transactions processed on their platform.

    48 min
  3. Voice AI from the space of VoiceSearch and VoiceServices, E31

    11/16/2021

    Voice AI from the space of VoiceSearch and VoiceServices, E31

    02:35 - Why hasn’t voice AI taken off already?22:50 - Can we fulfil an end to end new purchase naturally?32:20 - How can we resolve the disambiguation problem in NLU?37:20 - Context and memory perspectives.43:20 - How do we make conversations natural?References: Dustin's VUX World PodcastDustin's Linkedin profileHannes' LinkedIn profileSpeechly's Twitter profileSpeechly product search and checkout demoSpeechly's Interspeech Research Paper 2021

    50 min
  4. NLP, Speech Tech, Transformer Models, w/ Marc von Wyl, Algolia, E30

    10/22/2021

    NLP, Speech Tech, Transformer Models, w/ Marc von Wyl, Algolia, E30

    01:15 - How does NLP work?04:05 - How do Transformer-based NLP models work?08:20 - How to look at unstructured data to take advantage of it more.12:00 - How to leverage ML to bring more to unstructured data?15:25 - Approach for low resources languages.23:25 - Word embeddings for common reasoning needs.26:55 - Techniques to follow to improve error and ambiguity in training data or for a model in general.30:10 - Are GPTs leading effort in the field in a wrong direction?34:15 -  Is DeepLearning the end of AI?37:20 - What are some good NLP metrics to watch?42:05 - How do we get past transactional queries to conversational queries?52:00 - Is the Turing test still relevant for NLP or has it become obsolete?References: AI-Powered Search referenced in respect of text not being unstructured.Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingRethinking Search:Making Experts out of Dilettantes Common sense reasoningTWIML AI podcast 518 with Yejin ChoiDARPA's Explainable AI ProjectEPITA is an engineering school in Paris.Marc's LinkedIn profile.

    56 min
  5. AI/ML Projects, Methodologies, Best Practices, E29

    10/05/2021

    AI/ML Projects, Methodologies, Best Practices, E29

    12:50 - Is the Turing test still relevant?21:30 - Why it's important to use methodologies in AI projects and what are some best practices out there fit for AI projects.28:00 - Falsehoods of methodologies in AI projects.35:00 - Is Agile a good framework for AI/ML projects/products?40:10 - How can projects get derailed or fail if you don't have a plan in place.44:20 - The best compliment one can get after building an AI project or system.47:25 - Is DL the end of AI?References: CPMAI methodologyCognilytica's Voice Assistant Benchmark 1.0 and 2.0AI Today podcast show with Alexandra Petrus as guestAI Today podcast show

    54 min
  6. Developing Creativity with AI & DL for Sound & Audio, with Valerio Velardo, E28

    07/29/2021

    Developing Creativity with AI & DL for Sound & Audio, with Valerio Velardo, E28

    2:10 - Using AI to augment and reshape creativity in a modern world. Psychological creativity and story creativity - can an AI model help AI music artists, today, get off their creative blocks?12:15 - Attempt to define ‘good’ music, using a cognitive music literature background.17:00 - Are we better or worse off, for AI in audio/music? Is it sustainable for the effort input and cost, impact and efficiency output?22:35 - ‘Deep Nostalgia” from myheritage initiative, and GPT-J - looking for strengths in the two approaches.29:25 - The Sound of AI community - a HuggingFace version for audio?31:15 - Train a DL - CNN sound classifier built with Pytorch and torchaudio on the Urban Sound 8k dataset.35:00 - Is deep learning a dead end for artificial intelligence?38:05 - Could someone that is a pure tech profile ever be in such an intersection in sync with the artistic world? Is it a pre-req to be domain savvy to build AI audio solutions?42:10 - Helping music tech companies with a focus on audio (voice, speech, sound), the experience so far.49:45 - Hard problems to solve when dealing with AI audio - Top three.56:50 - First piece of music composed by a machine.References: The Sound of AI YT Channel: https://www.youtube.com/c/ValerioVelardoTheSoundofAI/featuredSign up for The Sound of AI Slack CommunityPyTorch for Audio + Music Processing https://www.youtube.com/watch?v=gp2wZqDoJ1Y&list=PL-wATfeyAMNoirN4idjev6aRu8ISZYVWmAudio Signal Processng for ML https://www.youtube.com/watch?v=iCwMQJnKk2c&list=PL-wATfeyAMNqIee7cH3q1bh4QJFAaeNv0OpenSource Research project building a speech-operated neural synthesiserDeep Learning for Music https://github.com/ybayle/awesome-deep-learning-musicSweet Anticipation book: Music and the Psychology of Expectation by David HuronValerio Velardo's LinkedInThe Frame Problem of AI

    58 min
  7. Green AI: by and for AI, with Kordel France - AI startup founder, E27

    06/30/2021

    Green AI: by and for AI, with Kordel France - AI startup founder, E27

    1:50 - Using AI for the environment6:55 - AI spices for agriculture12:15 - AI in outdoor uses15:15 - Green AI in Seekar's work22:15 - Training AI models for a green AI approach27:10 - Seekar in the medical space, and covid19 opportunities39:15 - NLP tradeoffs and takeaways43:10 - Similarities in practicing jiu-jitsu and AIReferences: Building AI models to be greener, and Seekar's Research Gate paper. This paper gives more insight into how Seekar was able to compress a large AI model down to a small enough size without compromising accuracy or performance.COVID-AI app from AppStoreExeda (Exploratory Emotional Detection Agent), mentioned in reference of using NLP for emotion recognition. Seekar's goal is to develop a psychological screening tool that can be downloaded as an app and used to check mental health daily through a 30-second voice recording in a similar manner as one brushes their teeth daily. 80% of personal communication happens through body language and Seekar’s products are utilizing this principle to better treat mental health. Research paper in progress.

    47 min
  8. Drive CX and Revenue with NLP in marketing and ecommerce, E26

    03/18/2021

    Drive CX and Revenue with NLP in marketing and ecommerce, E26

    01:25 - Do NLP models need someone that is not completely monolingual?05:20 - Types of NLP  in marketing and/or e-commerce.11:30 - Challenges in the e-commerce space: Behavioural data gathered by cookies has disappeared.16:00 - Every 40 seconds, our attention breaks. Is that fact taken into account in NLP modeling for personalization?18:20 - Models like GPT-3 open a whole new commercialization avenue in the marketing world, specifically for content creation. Impact of the wave.21:50 - Is it fair to use an AI model for IP and content in such a way you influence millions of users on a website at once?30:45 - Explainable models, debugging and how models could function.37:00 - Provocative contexts for data scientists nowadays.41:00 - Future of NLP.Episode references: GPT3 the beginning of a new app ecosystemAmazon makes Alexa Conversations generally available to developersCopy.AI and Taglines.AI based on GPT3. Other spinoffs in the same space: Copy Shark; Snazzy AI; experiments using platforms like VWO.Explainable models by DARPANLP in Marketing, part 1How virtual assistants (i.e. in your smartphone) understand youAI and NLP in marketing, webinarKatherine's LinkedinKatherine's TwitterBucharest AI's meetup on Gender Imbalance, AI Mentorship & good delivery in AI

    45 min
See All (33)

About

- This podcast show is currently on a break. - Real AI talks with real people. Startup founders, startup engineers, AI community leaders, research scientists, innovation leaders, product builders, passionate AI practitioners - we talk to everyone! Grab a rounded perspective on how AI is used, tradeoffs for specific AI tools or methods, challenges in the space of AI technologies, and its future. New to AI concepts? Try the ‘Elements of AI’ 6-chapters course for an introduction to AI, and Building AI. It’s world #1 AI MOOC. And join some AI communities or other relevant AI-centered groups. Podcast available on all popular podcasting platforms or via assistants like Google, Alexa, or Siri.

Information

  • Creator
    Alexandra Petrus
  • Years Active
    2020 - 2022
  • Episodes
    33
  • Rating
    Explicit
  • Copyright
    ℗ & © 2023 Applied AI Pod
  • Show Website
    Applied AI Pod