Podcast Datacamp terbaik (2024)

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48. Driving Impact with (Gen) AI for Financial Services with NVIDIA's Malcolm deMayo 39:20

2d ago39:20

39:20

Welcome back to Season 4 of the Data Democratization Podcast! In the 1st episode of the new season, Alexandra Ebert sat down with Malcolm DeMayo, NVIDIA's VP of Global Financial Services, live at Money2020 US to dive into what it takes for financial services organizations to succeed with data and AI at scale. Malcolm shares insights on using data a…

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#259 Getting the Data For Your Data-Driven Decisions with Jonathan Bloch & Scott Voigt 45:39

3d ago45:39

45:39

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Understanding where the data you use comes from, how to use it responsibly, and how to maximize its value has become essential. But as data sources multiply, so do the complexities…

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#258 Machine Learning for Ride Sharing at Lyft, with Rachita Naik, ML Engineer at Lyft 36:25

6d ago36:25

36:25

Machine learning and AI have become essential tools for delivering real-time solutions across industries. However, as these technologies scale, they bring their own set of challenges—complexity, data drift, latency, and the constant fight between innovation and reliability. How can we deploy models that not only enhance user experiences but also ke…

1
#257 Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU 44:58

8d ago44:58

44:58

As AI continually changes how businesses operate, new questions emerge around ethics and privacy. Nowadays, algorithms can set prices and personalize offers, but how do companies ensure they’re doing this responsibly? What does it mean to be transparent with customers about data use, and how can businesses avoid unintended bias? Balancing innovatio…

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#256 From Deep Learning to SuperIntelligence with Terry Sejnowski, Head of Computational Neurobiology at Salk Institute 50:23

13d ago50:23

50:23

With the recent rapid advancements in AI comes the challenge of navigating an ever-changing field of play, while ensuring the tech we use serves real-world needs. As AI becomes more ingrained in business and everyday life, how do we balance cutting-edge development with practicality and ethical responsibility? What steps are necessary to ensure AI’…

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#255 Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at Google 46:15

17d ago46:15

46:15

Generative AI and data are more interconnected than ever. If you want quality in your AI product, you need to be connected to a database with high quality data. But with so many database options and new AI tools emerging, how do you ensure you’re making the right choices for your organization? Whether it’s enhancing customer experiences or improvin…

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#254 Career Skills for Data Professionals with Wes Kao, Co-Founder of Maven 45:44

20d ago45:44

45:44

Mastering the technical side of data and AI is one thing, but communicating those insights effectively is a whole different challenge. How do you make sure your data is understood, acted upon, and influences decisions? It’s not just about presenting the right numbers—it’s about framing them in a way that resonates with different audiences. But how …

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#253 The Infrastructure Supporting the Data Revolution with Saad Siddiqui, General Partner at Titanium Ventures 38:17

24d ago38:17

38:17

Building a robust data infrastructure is crucial for any organization looking to leverage AI and data-driven insights. But as your data ecosystem grows, so do the challenges of managing, securing, and scaling it. How do you ensure that your data infrastructure not only meets today’s needs but is also prepared for the rapid changes in technology tom…

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#252 Is Big Data Dead? MotherDuck and the Small Data Manifesto with Ryan Boyd Co-Founder at MotherDuck 48:50

27d ago48:50

48:50

Businesses are collecting more data than ever before. But is bigger always better? Many companies are starting to question whether massive datasets and complex infrastructure are truly delivering results or just adding unnecessary costs and complications. How can you make sure your data strategy is aligned with your actual needs? What if focusing o…

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#251 The New Toolkit For CDOs with Adrian Estala, VP, Field Chief Data Officer at Starburst 48:29

30d ago48:29

48:29

Businesses are constantly racing to stay ahead by adopting the latest data tools and AI technologies. But with so many options and buzzwords, it’s easy to get lost in the excitement without knowing whether these tools truly serve your business. How can you ensure that your data stack is not only modern but sustainable and agile enough to adapt to c…

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#250 How Data and AI are Changing Data Management with Jamie Lerner, CEO, President & Chairman at Quantum 48:28

1M ago48:28

48:28

AI is becoming a key tool in industries far beyond just tech. From automating tasks in the movie industry to revolutionizing drug development in life sciences, AI is transforming how we work. But with this growth comes important questions: How is AI really impacting jobs? Are we just increasing efficiency, or are we replacing human roles? And how c…

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#249 Towards Self-Service Data Engineering with Taylor Brown, Co-Founder and COO at Fivetran 50:28

1M ago50:28

50:28

The sheer number of tools and technologies that can infiltrate your work processes can be overwhelming. Choosing the right ones to invest in is critical, but how do you know where to start? What steps should you take to build a solid, scalable data infrastructure that can handle the growth of your business? And with AI becoming a central focus for …

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#248 Effective Product Management for AI with Marily Nika, Gen AI Product Lead at Google Assistant 41:36

1M ago41:36

41:36

Building and managing AI products comes with its own set of unique challenges. Especially when they are under intense scrutiny like mobile and home assistants have dealt with in recent years. From dealing with the unpredictable nature of machine learning models to ensuring that your product is both ethical and user-friendly, the path to success isn…

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#247 Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx Data 40:13

1M ago40:13

40:13

Every organization today is exploring generative AI to drive value and push their business forward. But a common pitfall is that AI strategies often don’t align with business objectives, leading companies to chase flashy tools rather than focusing on what truly matters. How can you avoid these traps and ensure your AI efforts are not only innovativ…

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#246 AI and the Future of Art with Kent Keirsey, Founder & CEO at Invoke 46:32

2M ago46:32

46:32

AI has rapidly emerged as an incredibly transformative technology, and nowhere has its impact been felt more unexpectedly than in the creative arts. Just a decade ago, few would have predicted that AI would evolve from automating routine tasks to generating paintings, music, and even poetry. Yet today, the role of AI in the arts has entered mainstr…

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#245 Can We Make Generative AI Cheaper? With Natalia Vassilieva, Senior VP & Field CTO & Andy Hock, VP, Product & Strategy at Cerebras Systems 46:05

2M ago46:05

46:05

With AI tools constantly evolving, the potential for innovation seems limitless. But with great potential comes significant costs, and the question of efficiency and scalability becomes crucial. How can you ensure that your AI models are not only pushing boundaries but also delivering results in a cost-effective way? What strategies can help reduce…

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#244 Using Data to Optimize Costs in Healthcare with Travis Dalton and Jocelyn Jiang President/CEO & VP of Data & Decision Science at MultiPlan 39:06

2M ago39:06

39:06

In healthcare, data is becoming one of the most valuable tools for improving patient care and reducing costs. But with massive amounts of information and complex systems, how do organizations turn that data into actionable insights? How can AI and machine learning be used to create more transparency and help patients make better decisions? And more…

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#243 No-Code LLMs In Practice with Birago Jones & Karthik Dinakar, CEO & CTO at Pienso 54:05

2M ago54:05

54:05

As AI becomes more accessible, a growing question is: should machine learning experts always be the ones training models, or is there a better way to leverage other subject matter experts in the business who know the use-case best? What if getting started building AI apps required no coding skills? As businesses look to implement AI at scale, what …

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#242 Data Storytelling for Kids with Cole Nussbaumer Knaflic, Founder and CEO of Storytelling with Data 50:02

2M ago50:02

50:02

We’ve all met someone with a limiting belief, someone who describes their relationship with data as: “I’m not a data person” or “I can’t tell a data story.” Oftentimes, this mindset starts in childhood. Data storytelling is an incredible vehicle to challenge and reshape these beliefs early on. Imagine if kids could develop the skills to ask the rig…

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#241 Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AI 44:10

2M ago44:10

44:10

Lot’s of AI use-cases can start with big ideas and exciting possibilities, but turning those ideas into real results is where the challenge lies. How do you take a powerful model and make it work effectively in a specific business context? What steps are necessary to fine-tune and optimize your AI tools to deliver both performance and cost efficien…

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#240 Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie Mae 39:07

2M ago39:07

39:07

The rapid rise of generative AI is changing how businesses operate, but with this change comes new challenges. How do you navigate the balance between innovation and risk, especially in a regulated industry? As organizations race to adopt AI, it’s crucial to ensure that these technologies are not only transformative but also responsible. What steps…

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#239 New Models for Digital Transformation with Alison McCauley Chief Advocacy Officer at Think with AI & Founder of Unblocked Future 51:20

2M ago51:20

51:20

The pressure to innovate with AI is immense. There is seemingly a race against the clock for organizations to incorporate AI into their product offering, aside from continual digital transformation. As the speed of AI development accelerates, many organizations struggle to keep up, facing challenges from data readiness to changing traditional busin…

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#238 Data & AI for Improving Patient Outcomes with Terry Myerson, CEO at Truveta 39:49

3M ago39:49

39:49

One of the prerequisites for being able to do great data analyses is that the data is well structured and clean and high quality. For individual projects, this is often annoying to get right. On a corporate level, it’s often a huge blocker to productivity. And then there’s healthcare data. When you consider all the healthcare records across the USA…

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#237 Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of Oxford 49:24

3M ago49:24

49:24

Guardrails are not something we actively use in our day-to-day lives, they’re in place to keep us safe when we lack the control needed to keep us on course, and for that, they are essential. Navigating the complexities of decision-making in AI and data can be challenging, especially on a global scale when many are searching for any sort of competit…

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

3M 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…

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

3M 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…

Podcast Layak Disimak

Datacamp Podcast

Podcast Layak Disimak

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DataFramed

DataCamp

1
Data Democratization: Stories about data, AI and privacy

MOSTLY AI

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IBM thinkLeaders

IBM thinkLeaders

1
48. Driving Impact with (Gen) AI for Financial Services with NVIDIA's Malcolm deMayo 39:20

1
#259 Getting the Data For Your Data-Driven Decisions with Jonathan Bloch & Scott Voigt 45:39

1
#258 Machine Learning for Ride Sharing at Lyft, with Rachita Naik, ML Engineer at Lyft 36:25

1
#257 Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU 44:58

1
#256 From Deep Learning to SuperIntelligence with Terry Sejnowski, Head of Computational Neurobiology at Salk Institute 50:23

1
#255 Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at Google 46:15

1
#254 Career Skills for Data Professionals with Wes Kao, Co-Founder of Maven 45:44

1
#253 The Infrastructure Supporting the Data Revolution with Saad Siddiqui, General Partner at Titanium Ventures 38:17

1
#252 Is Big Data Dead? MotherDuck and the Small Data Manifesto with Ryan Boyd Co-Founder at MotherDuck 48:50

1
#251 The New Toolkit For CDOs with Adrian Estala, VP, Field Chief Data Officer at Starburst 48:29

1
#250 How Data and AI are Changing Data Management with Jamie Lerner, CEO, President & Chairman at Quantum 48:28

1
#249 Towards Self-Service Data Engineering with Taylor Brown, Co-Founder and COO at Fivetran 50:28

1
#248 Effective Product Management for AI with Marily Nika, Gen AI Product Lead at Google Assistant 41:36

1
#247 Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx Data 40:13

1
#246 AI and the Future of Art with Kent Keirsey, Founder & CEO at Invoke 46:32

1
#245 Can We Make Generative AI Cheaper? With Natalia Vassilieva, Senior VP & Field CTO & Andy Hock, VP, Product & Strategy at Cerebras Systems 46:05

1
#244 Using Data to Optimize Costs in Healthcare with Travis Dalton and Jocelyn Jiang President/CEO & VP of Data & Decision Science at MultiPlan 39:06

1
#243 No-Code LLMs In Practice with Birago Jones & Karthik Dinakar, CEO & CTO at Pienso 54:05

1
#242 Data Storytelling for Kids with Cole Nussbaumer Knaflic, Founder and CEO of Storytelling with Data 50:02

1
#241 Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AI 44:10

1
#240 Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie Mae 39:07

1
#239 New Models for Digital Transformation with Alison McCauley Chief Advocacy Officer at Think with AI & Founder of Unblocked Future 51:20

1
#238 Data & AI for Improving Patient Outcomes with Terry Myerson, CEO at Truveta 39:49

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#237 Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of Oxford 49:24

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

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

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