The Alldus Podcast – AI in Action Top 10 Episodes 2024
Blog | December 16 2024 | Alldus Recruitment
As 2024 draws to a close, we’re excited to share the most popular episodes from our AI in Action series on The Alldus Podcast as listened to by you.
These episodes, packed with invaluable insights from AI and Digital Transformation leaders around the world, have resonated with audiences worldwide. Whether you’re passionate about AI or Data Science, the AI in Action series of The Alldus Podcast offers a rich selection of content to explore.
So, without further ado, let’s dive into the Top Ten AI in Action Podcasts of 2024. (Click the image to listen to the full episode.)
10. E538 Shubham Shrivastava, Head of Machine Learning at Kodiak
Shubham Shrivastava, Head of Machine Learning at Kodiak joined host JP Valentine on the podcast in October to highlight how Kodiak pioneers autonomous trucking and driverless vehicle operations, developing resilient, modular AI for autonomous systems, scaling autonomous fleets with sparse and rapid mapping, Kodiak’s aim to scale a 24/7 driverless fleet and he told us about seeking motivated talent to advance AI and transform the industry.
Earlier in April, James Fiorendino, Senior Research Data Scientist and Sadie O’Neill, Deputy Director of Data Science at Two Six Technologies came on the show to discuss an overview of their next-gen security platform and diverse products, the day-to-day life of the Data Science team, excitement for their “Discover Next” platform leveraging large language models, valuing diverse backgrounds, problem-solving and skill development and they told us what makes Two Six Technologies a great place to work.
8. E526 Aman Magoon, Co-Founder & Chief Product Officer at Adonis
Aman Magoon, Co-Founder & Chief Product Officer at Adonis featured on the podcast in August to chat about how Adonis addresses provider-payer conflicts in healthcare revenue collection, revolutionizing healthcare revenue management for caregivers’ benefit, how AI streamlines healthcare revenue cycle & optimizes claim processing, introducing alerting and monitoring to enhance revenue cycle management, plans for growth and leveraging data for innovative solutions and evaluating AI healthcare innovations based on enduring industry trends.
7. E520 Brandon Allgood, Chief Data Officer at FogPharma
In July, Brandon Allgood, Chief Data Officer at FogPharma (now called Parabilis Medicines) joined the show to talk about his journey from cosmology to drug discovery at FogPharma, an overview of Fog Pharma’s focus on peptides, how AI optimizes drug design, biology understanding & patient response prediction and he also discussed about taking a data-driven approach to their drug discovery platform.
6. E505 Matthew Greving, VP of Machine Learning and Platform Technologies at iBio
Matthew Greving, former VP of Machine Learning and Platform Technologies at iBio joined the show back in March to discuss advancing antibody therapies for challenging, unexplored drug targets, utilizing an AI-engineered approach for successful antibody therapeutics development, seeking talent bridging computation and biochemical drug discovery, leveraging multimodal data for transformative drug discovery impact, what he looks for when hiring into his team and what makes iBio a great place to work.
5. E499 Devanshi Vyas, Co-Founder at Censius
Back in February, Devanshi Vyas, former Co-Founder at Censius joined AI in Action to talk about empowering ML practitioners with accessible AI observability solutions, offering enhanced NLP summarization with robust observability and actionable insights, an insight into the team and plans for growth and she also talked about valuing adaptability, learning and responsible AI practices.
4. E502 Brian Hart, CTO at Covera Health
Brian Hart, CTO at Covera Health joined the podcast back in February to discuss his role as the CTO at Covera Health, addressing radiology inconsistencies with AI for quality improvements, an insight into the day-to-day life of the team, plans for Platform investment, AI 2.0 transition & LLMs, career opportunities with Covera Health and he also told us what makes Covera Health a great place to work.
3. E517 Tao Wang, Director of Machine Learning at SurveyMonkey
Tao Wang, Director of Machine Learning at SurveyMonkey joined the AI in Action podcast in June to talk about empowering data-driven decisions with AI-enabled features, how the ML team streamlines collaboration for innovation, his emphasis on servant leadership, coaching and process, integrating ChatGPT for enhanced survey experience at SurveyMonkey, career opportunities with SurveyMonkey and he talks about what makes SurveyMonkey a great place to work.
2. E503 Rohan Doctor, Founder and CEO at Louisa.ai
in February, Rohan Doctor, Founder and CEO at Louisa.ai discusses Louisa AI’s expertise in CRM-driven revenue growth, how the Louisa platform has evolved since launch, their emphasis on mapping human expertise for accurate enterprise solutions, focusing on an Enterprise GPT readiness report for personalized AI implementation, aligning with universities and supporting entrepreneurship for growth and valuing deep client connections and aiming for global talent expansion.
1. E498 Mat Davis, VP of Data Science at Jazz Pharmaceuticals
In this most listened to episode of the year, Mat Davis, VP of Data Science at Jazz Pharmaceuticals featured on the show in January as he discussed their patient focused culture, excelling in medicine for neuroscience and oncology, six key areas of focus such as bioinformatics, epidemiology and biostatistics, embedding data science in functions to enhance a value creation approach, his data science vision to foster quantitative drug developers for approvals and he also discusses why to consider a career with Jazz Pharmaceuticals.
A huge thank you to all our guests who joined us on the show this year, as well as to everyone who tuned in. Stay tuned for even more incredible episodes coming your way on The Alldus Podcast in 2025!
share
related articles
Women in AI: Bridging the Gap
Despite huge advancements in AI research, the field still lags in another key area of societal progress, gender equality. With women accounting for just 22% of professionals in the field, we examine the steps needed to address this inequality and how it would also benefit the technologies themselves
Why SQL is the base knowledge for data science
As a programming language, It's a simple skill to learn, but a very valuable one. A walk in the park compared to Python or R.
Why NLP is the future of E-Commerce
There are great benefits to using NLP in eCommerce. The world of business would be greatly benefited from in-depth insights that are controlled by AI. It will help in increasing customer satisfaction rates, improve the revenue curve & ultimately transform the future of business operations.