Best Meta Analysis Academy Podcasts (2024)

1
Systematic Review and Meta-Analysis: Do White Noise or Pink Noise Help With Task Performance in Youth With Attention-Deficit/Hyperactivity Disorder or With Elevated Attention Problems: JAACAP August 2024 ... 20:55

16d ago20:55

20:55

JAACAP August 2024: Contributing Editor Dr. Apurva Bhatt interviews Dr. Joel T. Nigg on a systematic review and meta-analysis that included 13 studies and found that white/pink noise improved cognitive performance for children and young adults with ADHD or high ADHD symptoms.By Various

1
#236 Optimizing Sales Using AI with Ellie Fields, CPEO at Salesloft 41:51

12m ago41:51

41:51

Doing sales better is perhaps the most direct route to making more revenue, so it should be a priority for every business. B2B sales is often very complex, with a mix of emails and video calls and prospects interacting with your website and social content. And you often have multiple people making decisions about a purchase. All this generates a ma…

1
MetaCast PT #04 - Research Fellowship como Casal: A História de André Zimerman e Ana Laura Kunzler 58:20

3d ago58:20

58:20

No 4º episódio do MetaCast, Rhanderson Cardoso conversa com André Zimerman e Ana Laura Kunzler, um casal de médicos brasileiros que compartilharam suas inspiradoras jornadas de Porto Alegre a Boston. Eles discutem suas experiências em pesquisa e assistência médica no Brasil e Estados Unidos, destacando os desafios e as conquistas de suas carreiras …

1
#235 Developing Generative AI Applications with Dmitry Shapiro, CEO of MindStudio 45:26

1h ago45:26

45:26

One of the big use cases of generative AI is having small applications to solve specific tasks. These are known as AI agents or AI assistants. Since they’re small and narrow in scope, you probably want to create and use lots of them, which means you need to be able to create them cheaply and easily. I’m curious as to how you go about doing this fro…

1
#234 High Performance Generative AI Applications with Ram Sriharsha, CTO at Pinecone 42:54

1d ago42:54

42:54

Perhaps the biggest complaint about generative AI is hallucination. If the text you want to generate involves facts, for example, a chatbot that answers questions, then hallucination is a problem. The solution to this is to make use of a technique called retrieval augmented generation, where you store facts in a vector database and retrieve the mos…

1
#233 Generative AI at EY with John Thompson, Head of AI at EY 39:26

5d ago39:26

39:26

By now, many of us are convinced that generative AI chatbots like ChatGPT are useful at work. However, many executives are rightfully worried about the risks from having business and customer conversations recorded by AI chatbot platforms. Some privacy and security-conscious organizations are going so far as to block these AI platforms completely. …

1
#232 How are Businesses Really Using AI? With Tathagat Varma, Global TechOps Leader at Walmart Global Tech 1:00:11

8d ago1:00:11

1:00:11

There’s been a lot of pressure to add AI to almost every digital tool and service recently, and two years into the AI hype cycle, we’re seeing two types of problems. The first is organizations that haven’t done much yet with AI because they don’t know where to start. The second is organizations that rushed into AI and failed because they didn’t kno…

1
MetaCast #03 - The Path to Research Excellence with Andre Zimerman 57:23

10d ago57:23

57:23

MetaCast #03 is an inspiring conversation with Andre Zimerman, a phenomenal medical doctor and researcher from Brazil. Andre shares his incredible journey from Porto Alegre to a prestigious research fellowship in Boston with the TIMI Group, an academic research organization affiliated with Harvard Medical School. He discusses the pivotal experience…

1
#231 Manage Your Data Better with Shinji Kim, CEO at Select Star 45:02

16d ago45:02

45:02

One of the most annoying conversations about data that happens far too often is: “Can you do an analysis and answer this business problem for me?” “Sure, where’s the data?” “I don’t know. Probably in one of our databases.” At this point more time is spent hunting for data than actually analyzing it. Rather than grumbling about it, it would obviousl…

1
#230 Scaling Experimentation at American Express with Amit Mondal, VP & Head of Digital Analytics & Experimentation at American Express 39:32

15d ago39:32

39:32

One of the best applications of data science is that it allows experimentation within any organization at scale. The ability to test a new checkout feature, the color of a button, and analyze whether that improves customer experiences can be truly magical when done correctly. However, doing this at scale means that the entire organization needs to …

1
MetaCast PT #03 - Doutorado antes da Residência com Caique Ternes 57:33

24d ago57:33

57:33

Neste episódio, Rhanderson Cardoso tem um bate-papo com Caique Ternes, médico formado pela Universidade Federal de Santa Catarina e doutorando do Programa de Pós-Graduação em Cardiologia e Ciências Cardiovasculares da Universidade Federal do Rio Grande do Sul. Caique, um dos primeiros alunos do Meta-Analysis Academy, compartilha sua experiência de …

1
#229 Inside Meta's Biggest and Best Open-Source AI Model Yet with Thomas Scialom, Co-Creator of Llama3 38:46

19d ago38:46

38:46

Meta has been at the absolute edge of the open-source AI ecosystem, and with the recent release of Llama 3.1, they have officially created the largest open-source model to date. So, what's the secret behind the performance gains of Llama 3.1? What will the future of open-source AI look like? Thomas Scialom is a Senior Staff Research Scientist (LLMs…

1
#228 Are Spreadsheets Still Relevant For Data Analysis? with Jordan Goldmeier, Author of Data Smart 34:44

22d ago34:44

34:44

Excel often gets unfair criticism from data practitioners, many of us will remember a time when Excel was looked down upon—why would anyone use Excel when we have powerful tools like Python, R, SQL, or BI tools? However, like it or not, Excel is here to stay, and there’s a meme, bordering on reality, that Excel is carrying a large chunk of the worl…

1
MetaCast #02 - The Power of Meta-Analysis: Success Stories from the Meta-Analysis Academy 56:03

24d ago56:03

56:03

In the second episode of MetaCast, host Dr. Rhanderson Cardoso is joined by Meta-Analysis Academy legends Amanda Godoi, Isabela Marques, and Gabriela Brandão for an engaging discussion about the world of meta-analyses. Discover what meta-analyses are, why they are crucial for your career, and how you can start your own. Our guests share valuable in…

1
#227 DataFramed x Analytics On Fire: Riding the AI Hype Cycle with Mico Yuk, Co-Founder at Data Storytelling Academy 57:01

26d ago57:01

57:01

This special episode of DataFramed was made in collaboration with Analytics on Fire! Nowadays, the hype around generative AI is only the tip of the iceberg. There are so many ideas being touted as the next big thing that it’s difficult to keep up. More importantly, it’s challenging to discern which ideas will become the next ChatGPT and which will …

1
#226 Creating Custom LLMs with Vincent Granville, Founder, CEO & Chief Al Scientist at GenAltechLab.com 52:11

1M ago52:11

52:11

Despite GPT, Claude, Gemini, LLama and the other host of LLMs that we have access to, a variety of organizations are still exploring their options when it comes to custom LLMs. Logging in to ChatGPT is easy enough, and so is creating a 'custom' openAI GPT, but what does it take to create a truly custom LLM? When and why might this be useful, and wi…

1
MetaCast PT #02 - Estágios internacionais com Raquel Oliveira 53:10

1M ago53:10

53:10

No segundo episódio do MetaCast, Rhanderson Cardoso recebe a brilhante Raquel Oliveira, estudante de medicina do quinto ano da Universidade Federal do Piauí. Raquel compartilha sua trajetória desde Piauí até Boston, onde realizou um estágio em Oncodermatologia no Massachusetts General Hospital, um dos hospitais da Faculdade de Medicina de Harvard. …

1
#225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at Outerbounds 48:07

1M ago48:07

48:07

The role of the data scientist is changing. Some organizations are splitting the role into more narrowly focused jobs, while others are broadening it. The latter approach, known as the Full Stack Data Scientist, is derived from the concept of a full stack software engineer, with this role often including software engineering tasks. In particular, o…

1
#224 What History Tells Us About the Future of AI with Verity Harding, Author of AI Needs You 38:51

1M ago38:51

38:51

Conversations about the future of AI tend to be rather divisive, with opinions ranging from artificial superintelligence arriving to save the world, or to eradicate humanity. There's a sense that the latter is undesirable and that something ought to be done to prevent it. In order to get from that vague feeling to having steps that are practical in…

1
MetaCast #01 - First steps after the Match with Julyana Dantas 49:54

1M ago49:54

49:54

In the inaugural episode of MetaCast, the podcast of the Meta-Analysis Academy, Rhanderson Cardoso chats with Julyana Dantas, a medical doctor from Universidade Federal do Rio Grande do Norte (Brazil) who's about to start her Neurology residency in Boston, USA. We talk all about what it takes to Match into a medical residency program in the USA. Ju…

1
#223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI 38:20

1M ago38:20

38:20

Generative AI is here to stay, fundamentally altering our relationship with technology. But what does its future hold? In this session, Tom Tunguz, General Partner at Theory Ventures, Edo Liberty, CEO at Pinecone, and Nick Elprin, CEO at Domino Data Lab, explore how generative AI tools & technologies will evolve in the months and years to come. The…

1
#222 [Radar Recap] Scaling Data Quality in the Age of Generative AI 41:20

1M ago41:20

41:20

Generative AI's transformative power underscores the critical need for high-quality data. In this session, Barr Moses, CEO of Monte Carlo Data, Prukalpa Sankar, Cofounder at Atlan, and George Fraser, CEO at Fivetran, discuss the nuances of scaling data quality for generative AI applications, highlighting the unique challenges and considerations tha…

1
#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs 45:08

2M ago45:08

45:08

From data science to software engineering, Large Language Models (LLMs) have emerged as pivotal tools in shaping the future of programming. In this session, Michele Catasta, VP of AI at Replit, Jordan Tigani, CEO at Motherduck, and Ryan J. Salva, VP of Product at GitHub, will explore practical applications of LLMs in coding workflows, how to best a…

1
Integrating Youth Readiness Intervention and Entrepreneurship in Sierra Leone: A Hybrid Type II Cluster Randomized Trial: JAACAP July 2024 15:13

2M ago15:13

15:13

JAACAP July 2024: Contributing Editor Dr. Rana Elmaghraby interviews Dr. Jordan A. Freeman on a Hybrid Type-II Implementation-Effectiveness trial conducted in Sierra Leone where researchers tested a Collaborative Team Approach (CTA) for delivering an evidence-based mental health intervention, the Youth Readiness Intervention (YRI), within a youth e…

1
#220 [Radar Recap] Building Tomorrow's Workforce, Today: Scaling Internal AI Academies 36:42

2M ago36:42

36:42

As AI continues to be a critical driver of innovation and competitive advantage, the imperative for organizations to upskill their workforce in this domain has never been more pressing. In this session, Mike Baylor, Vice President & CDAO at Lockheed Martin, Carolann Diskin, Senior Technical Program Manager at Dropbox, and Giorleny Altamirano Rayo, …

1
MetaCast PT #01 - Meta-Analysis Academy: Carreiras de Sucesso 1:01:20

1M ago1:01:20

1:01:20

No primeiro episódio do MetaCast, o PodCast do Meta-Analysis Academy, Rhanderson Cardoso conversa com as lendas do Meta-Analysis Academy Larissa Hespanhol, Amanda Godoi e Isabela Marques, que compartilham suas jornadas acadêmicas e profissionais e o papel da meta-análise para atingir seus objetivos. No episódio, você vai poder ouvir tudo sobre essa…

1
#219 Building a Data Platform that Drives Value with Shuang Li, Group Product Manager at Box 41:15

2M ago41:15

41:15

Whether big or small, one of the biggest challenges organizations face when they want to work with data effectively is often lack of access to it. This is where building a data platform comes in. But building a data platform is no easy feat. It's not just about centralizing data in the data warehouse, it’s also about making sure that data is action…

1
#218 Designing AI Applications with Robb Wilson, Co-Founder & CEO at Onereach.ai 45:59

2M ago45:59

45:59

All the hype around generative AI means that every software maker seems to be stuffing chat interfaces into their products whenever they can. For the most part, the jury is still out on whether this is a good idea or not. However, design goes deeper than just the user interface, so it’s also useful to know about how the designs interact with the re…

1
#217 Data & AI at Tesco with Venkat Raghavan, Director of Analytics and Science at Tesco 42:53

2M ago42:53

42:53

Loyalty schemes are a hallmark of established retailers—not only do they build consumer trust, they are intelligent and constantly evolving, and Tesco’s Clubcard is the UK’s favorite retail loyalty program. The effects of these discounts are far-reaching, especially for families who rely on getting the best deals to make the most of their money. As…

1
#216 Perplexity & the Future of AI with Denis Yarats, Co-Founder and CTO at Perplexity AI 36:03

2M ago36:03

36:03

Arguably one of the verticals that is both at the same time most ripe for disruption by AI and the hardest to disrupt is search. We've seen many attempts at reimagining search using AI, and many are trying to usurp Google from its throne as the top search engine on the planet, but I think no one is laying the case better for AI assisted search than…

Podcasts Worth a Listen

Meta Analysis Academy Podcasts

Podcasts Worth a Listen

Quick Reference Guide