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Applied AI Pod

Alexandra Petrus

Applied AI Pod

A weekly Technology, Business and Entrepreneur podcast
Good podcast? Give it some love!
Applied AI Pod

Alexandra Petrus

Applied AI Pod

Episodes
Applied AI Pod

Alexandra Petrus

Applied AI Pod

A weekly Technology, Business and Entrepreneur podcast
Good podcast? Give it some love!
Rate Podcast

Episodes of Applied AI Pod

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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 - Th
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
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 n
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 la
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 f
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 cog
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
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
01:35 - Why did you decide to continue bootstrapping and decided to not opt for an investment.06:50 - In the age of the million dollar supremacy how much money is a VC ready to invest.08:56 Open source AI, good or bad idea? - VC and deep tech f
02:43 - Motivation behind building a scaled MOOC AI course06:40 - Effort behind an AI course to educate 1% of EU citizens10:45 - Finland's heritage in education, and AI takeaways for course takers20:55 - AI Challenge, or how are companies joini
02:10 - Brief history of game development in relation to AI advancements10:15 - Games driving advances in AI research: PR or reality?15:50 - Latest AI technique popular in game development20:55 - The role of Unity Game Simulation to reduce time
2:00 - Hottest AI trends for 20215:35 - Open source for AI - paradigm shift11:30 - AI model supremacy21:10 - Authorship rights when AI contributes31:00 - GPT encapsulating knowledge?34:00 - Human consciousness replicable as computation41:50 - A
Why do you do what you do?Using big data and AI to connect big groups - how is that going and what are you current challenges?How does a customer journey usually go. Take the example of the BeAI community, what would the journey look for us?“Sh
Notes:The role of a PM in a research environmentRecurring skills needed for an AI PM to have successful products built and good communication with both researchers and business typesAI model governance and why is important in bankingWhere can A
5000+ likes on Facebook, that is a good crowd for a startup, how did you build this?Current tech stack and challenges.Current increased online consumption and trends versus your solution - how do you see everything evolving?What are the languag
Why do you do what you do?Are you a cybersec company?Current AI used.Problems addressed & industries targeted.AI regulations - where to stand.Reference linksFactide WebsiteFactide Facebook PageFactide LinkedIn PageFactide Twitter Page
Why do you do what you do?Where and what do you use AI for?How does it feel, for a computer science researcher, to build a research spin off startup in France? What do you struggle most with?Who are your customers and users?How does a customer
Notes:Industries most interested during these times, and the ones taking a step backRoad to product market fitCommunicating with potential clientsSales & growth team profile
Notes:Deep Reinforcement Learning (DRL or DeepRL) applied to the automotive industrySimulation platforms and the role of simulators in training agentsObtaining data to prepare the autonomous vehicleMethods to evaluate robustness of the solution
We discuss:Can twins have identical typing patterns?Advantages and opportunities offered from early beginnings in Oradea, RomaniaNailing a directionThe generalist roleMixing behavioural biometrics with the AI technology
We discuss:Skills salespeople need, in the presence of AI productsWhy Druid is relevant for the futureHow hard is to find a way to monetizeOwnership of data and data responsabilitiesAI is getting ready for business, are businesses ready for AI?
We discuss:RPA's impact across culturesUiPath's agriculture sector use-caseHow can AI help the public and private sectorDigital capacity brought by the RPA technology useEU-level support for startups and bureaucracyRead more on the main challen
Difference between AI and AGI. - 1:00What will AGI solve. - 4:30Problems with AI-research and how to fix them. - 8:35Progress with truly intelligent machines, the evolution of creativity. - 14:10 Why aren't animals intelligent or conscious? - 1
Self-driving cars and the setup of an Auto-Drive project for a Dacia without technology built-in - a cost effective positioned carThe use and role of Simulation data and techniquesVatican joining tech companies to build ethical AIReligion and t
✓ Solutions of the teams mentored✓ Technology focus✓ Role of ML and DL during the pandemic✓ Sourcing datasets✓ Adversarial attacks in PoCs*Kiril's reference in the conversation, for the Secure and Explainable Machine Learning library, is for Ba
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