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Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Dr. Kjell Carlsson, for Season...
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Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Dr. Kjell Carlsson, for Season 2 as we interview pioneering data science leaders and industry watchers to unearth the secrets to driving transformative business outcomes—and avoiding a myriad of pitfalls—with the latest ML & AI technologies. Our conversations are full of real stories, breakthrough strategies, and unique insights—to help you build your own model for enterprise data science success.
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Data Science Leaders
Data Science Leaders
Trust and faster AI time to value in manufacturing at IFF
24 JUL 2024 · How do you deliver impact with AI and ML and cut development time by weeks and even months? By understanding your customer, building trust, and managing risk.
Done well, effective and responsible AI practices can be the secret to faster implementation, adoption, and performance at lower cost and risk.
In this episode withhttps://www.linkedin.com/in/amanasson/, Data Science Leader for the Americas at https://www.iff.com/, we uncover their best practices for managing risk and driving rapid AI development and adoption in the safety-focused world of manufacturing.. Dr. Manassof shares insights on balancing statistical process control with predictive modeling, the importance of adapting your data collection processes, and the pros and cons of digital twins. Discover practical tips and strategies for implementing AI and ML tools to boost efficiency and foster trust in high-stakes environments.
How to Make Responsible AI Happen: A Historical View
5 JUL 2024 · How do you deliver value with responsible AI, who is responsible for it, how do you put it into practice, and could we use AI to make our organizations more ethical?
This episode comes to you from the RevX conference in London, where we asked these questions of https://www.linkedin.com/in/wiggins/, Chief Data Scientist at the https://www.nytimes.com/. He is also Professor of Applied Mathematics at https://datascience.columbia.edu/people/chris-h-wiggins/ and author of the books “https://wwnorton.com/books/how-data-happened” and “https://www.cambridge.org/us/universitypress/subjects/computer-science/knowledge-management-databases-and-data-mining/data-science-context-foundations-challenges-opportunities?format=HB&isbn=9781009272209”.
Join us as we discuss:
- What we can learn from the history of research ethics and data legislation
- The need for clear principles and defined ownership to ensure ethical AI
- The translation of ethical principles into checklists, standards, and product decisions
- The importance of benchmarking AI against human performance and addressing how human biases in data lead to biased AI outcomes
To see all of the sessions at the RevX conferences go to http://domino.ai/revx.
Efficient Data Pipelines for AI and a Healthier World
19 JUN 2024 · AI is not all about the data, however, your ability to develop and deploy efficient data pipelines is absolutely critical for unlocking the power of AI at scale. But how do you manage modern data pipelines for AI and how do you deal with fragmented ecosystems and spiraling costs?
In this episode, brought to you from the RevX Philadelphia conference, https://www.linkedin.com/in/richardswakla/, AI/ML Specialist at https://www.netapp.com/intelligent-data-infrastructure/?gclid=Cj0KCQjw0_WyBhDMARIsAL1Vz8uDMvgEzooseq-ueitJxuUG2kEhd6hsmyHvlELbzycqB6SyN_eh_TIaAoJhEALw_wcB&utm_campaign=dmnd-mdc-all-na-amer-webc-brp-brand-1716903752057&utm_source=google&utm_medium=paidsearch&utm_content=nativead&gad_source=1&ef_id=ZZrn1gAMrNewdgAM:20240603213349:s, joins us to discuss the current trends and best practices in the life sciences around data and AI.
Join us as we discuss:
- The role of AI in enhancing productivity in healthcare and the life sciences, particularly in drug discovery, claims processing and fraud detection.
- The growing importance of hybrid cloud solutions to balance cost, efficiency, and infrastructure access.
- Challenges in transitioning AI projects from pilots to production due to high costs and rapidly evolving models.
To see all of the sessions at the RevX conferences go to http://domino.ai/revx.
Enabling AI on Enormous Financial Datasets at FINRA
31 MAY 2024 · How do you enable AI, data science and analytics on petabyte-scale data, with extremely stringent privacy and security requirements?
This episode comes to you from the RevX-New York conference where we had a fireside chat with https://www.linkedin.com/in/ivansblack/ - Director in charge of ML, AI, and analytics platforms at the US financial services regulator https://www.finra.org/#/.
Join us as we discuss:
- The challenges of enabling AI on massive, rapidly growing financial datasets
- Talent strategies to support the rapidly changing AI ecosystem
- The importance of AI governance and reproducibility
- Managing cloud costs
To see all of the sessions at the RevX conferences or to find information about attending upcoming ones go to http://domino.ai/revx.
Developing a Strategy for AI Transformation at Zendesk
16 MAY 2024 · How do you craft and implement a strategy to transform an organization with AI? Not just to build a growing portfolio of successful AI projects, but to fundamentally re-engineer the organization’s core processes, to radically increase productivity, to overhaul the company’s tech stack, and to prepare it for a future of AI-driven competition.
In this episode, https://www.linkedin.com/in/akshayamurthy/, who leads the AI efforts for Operations at https://www.zendesk.com/?utm_source=linkedin&utm_medium=organic_social&utm_campaign=OS_LI_AM_US_EN_A_All_AW_FAN-zendesk-homepage-linkedin-social-redirect-Demo-All-NonBoosted-LinkedIn--NoEX_T3_A_H&utm_term=&utm_content=Demo__ joins us to discuss the mandate and toolkit of the AI transformation leader, the importance of strategy for AI impact, the AI transformation efforts at Zendesk, and their successes to date.
Join us as we discuss:
- The AI transformation leader: mandate and skillset
- Strategy: the misunderstood and frequently forgotten key to AI impact
- GenAI: the transformation leader’s new best tool for rapid impact
- Process transformation: the goal of AI transformation
Surviving and Thriving as an AI Leader in a GenAI World
2 MAY 2024 · AI leaders. Why do we need them? How do you become one? And above all, how do you keep your job as one?
In this episode, we are joined by guest speaker https://www.linkedin.com/in/mgualtieri/, VP and Principal Analyst at https://www.forrester.com/bold and we unpack the opportunities, pitfalls, and best practices of the AI leader role. He shares the pivotal role of AI leaders in catalyzing organizational transformation, their unique skill set that must encompass data science, business acumen, and software engineering, their importance in navigating the evolving regulatory landscape surrounding AI, and the need for platforms to facilitate rigorous auditing and compliance measures to foster trust and transparency.
Join us as we discuss:
- The strategic imperative for AI leaders to curate a diversified portfolio of AI initiatives
- The multifaceted nature of AI risk management, spanning legal, ethical, and societal dimensions
- The formidable challenges inherent in navigating and enforcing AI-centric regulations amidst rapid technological advancement
Unlocking the Disruptive Potential of Generative AI: A VC Perspective
10 APR 2024 · GenAI is evolving at a breakneck pace, matched only by the startups that are looking to commercialize it. So what better way to understand the latest GenAI trends than to ask a venture capitalist specializing in AI?
In this episode, we speak with https://www.linkedin.com/in/jcham/, partner at https://www.bloombergbeta.com/, about the state of GenAI – where it is delivering value today – and the challenges preventing firms from moving from incremental GenAI-driven productivity gains, to truly disruptive GenAI use cases. Along the way, we cover the problem of treating GenAI like software development, the rapidly changing economics of GenAI, and the key to success with all types of AI which is – as always – understanding people.
Join us as we discuss:
- The cultural challenges preventing companies from unlocking the disruptive potential of GenAI
- Why developers don’t get data-powered applications (and why data scientists need product thinking)
- How GenAI can change our engagement with technology (by killing the GUI)
Overcoming the Data Challenges of AI-driven Drug Discovery
27 MAR 2024 · A human being consists of billions of cells, each with the same genetic code but interacting in a myriad ways that can eventually translate into disease. Understanding and treating that disease is, in essence, a data problem. But how do you unlock that data and how do you change an organization to systematically use that data to improve decision-making and accelerate drug discovery?
In this episode, we speak with https://www.linkedin.com/in/volodimir-olexiouk/, Director of Scientific Engagement and Data Science Team Lead at https://lizard.bio/home, about best practices for overcoming the data challenges for AI-driven drug discovery and combining scientific expertise with data science for augmented intelligence in the life sciences.
Join us as we discuss:
- The challenges in discerning correlation from causation and integrating domain expertise
- How bridging expertise gaps and merging data silos in pharmaceutical companies radically improves drug-discovery processes
- The promise AI holds for swifter and more effective responses to future pandemics
AI Will Plan Your Next Vacation: GenAI at Tripadvisor
13 MAR 2024 · Trip planning may well be the perfect AI use case. Too much information, too many combinations, and too little time —for humans, but not for https://www.tripadvisor.com/ AI Trips. In this episode https://www.linkedin.com/in/rahultodkar/, VP Head of Data and AI, shares the secrets to building a trusted GenAI solution at internet scale and discusses the similarities and differences between data leadership roles at digitally native companies and more traditional enterprises.
Join us as we discuss:
- How to use GenAI to unlock first party data
- The ideal GenAI development team
- The evolving role of data and AI leaders
From the Archive: A Hybrid Approach to Accelerating the Model Lifecycle
28 FEB 2024 · Wouldn’t it be great if there was a commonly agreed-upon framework for executing all AI projects successfully? Well, there isn’t one. However, there is CRISP-DM, the antediluvian “Cross-Industry Standard Process for Data Mining”, but you need to expand, modernize and adapt this framework for success at your organization.
In this episode from the archive, Dave Cole interviews https://www.linkedin.com/in/david-von-dollen/, former Head of AI at Volkswagen of America, about how they integrated CRISP-DM into an Agile process to drive more rapid iteration and, ultimately, more successful AI projects.
Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Dr. Kjell Carlsson, for Season...
show more
Data Science Leaders: The premiere podcast for executives tackling the world’s most important challenges with the power of machine learning and artificial intelligence. Join host, Dr. Kjell Carlsson, for Season 2 as we interview pioneering data science leaders and industry watchers to unearth the secrets to driving transformative business outcomes—and avoiding a myriad of pitfalls—with the latest ML & AI technologies. Our conversations are full of real stories, breakthrough strategies, and unique insights—to help you build your own model for enterprise data science success.
show less
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| Author | Sweet Fish |
| Organization | Sweet Fish |
| Categories | Business , Management , Mathematics |
| Website | www.spreaker.com |
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