Avsnitt
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Judith is a Managing Director and Head Equities Quantitative Strategist for Scotiabank’s US Equities Sales and Trading. Prior to Scotiabank, Judith was a VP at Goldman Sachs and Citadel, after starting her career at Morgan Stanley.
Judith discusses how market makers leverage data to hedge trading risk. She delves into why market makers increasingly need to leverage fundamental data, in addition to traditional market data, to effectively hedge risk. Judith also alludes to the market making use cases for alternative data and explains why trading operations need to have complete control over their technology infrastructure, particularly regarding trade execution. -
Richard is co-founder and Chief Customer Officer of Datarade, working with thousands of different data providers and data buyers to make data commerce easy. Datarade operates Data Commerce Cloud™ (DCC) which enables data providers to sync data products instantly to sales channels including Google Cloud Analytics Hub, SAP Datasphere Marketplace, Alation Marketplaces, and Datarade’s proprietary Marketplace. Prior to founding Datarade in 2018, Richard was scaling sales & revenue teams for many Berlin-based B2B Startups.
On I See Data People, Richard discusses best practices for monetizing data successfully, his predictions for the data industry, and what DCC is doing differently to empower data provider businesses.
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Saknas det avsnitt?
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Jeremy is the founder of a new stealth startup in supply chain data infrastructure. Prior to co-founding his current company with Travis May (the founder and CEO of Datavant), Jeremy was the Head of Data Strategy for Walmart Data Ventures. Before Walmart Jeremy held a variety of roles in the data industry, including Global Head of Alternative Data at Bloomberg, Chief Revenue Officer at Estimize and Chief Product Officer at ACE Portal. Jeremy started his career in global industrials investment banking at Citi and JP Morgan, after briefly consulting at Accenture.
Jeremy discusses the evolution of the data landscape over the course of his illustrious career, and why he is pursuing a compelling opportunity in the world of supply chain data. Jeremy delves into how he has spotted early trends in the data landscape ranging from alternative data to Web3. He shares his views on both asset management data use and corporate data use, as well as the roles of data scientists, data engineers and data analysts. Jeremy even shares the controversial view that a lot of data has net negative value due to how challenging it may be to derive insights from mediocre datasets.
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David is the co-founder and CEO of Catylex, where he and his team leverage AI to extract data from contracts. Prior to Catylex, David was senior counsel at Bridgewater Associates, Executive Director and Counsel at UBS, and Director and Counsel at Credit Suisse. David started his career as a database developer before jumping into law at Cleary Gottlieb. David discusses the parallels between legal contracts and code, and how those similarities led him to building Catylex, a company focused on extracting data from contracts. David explains how contract data can be utilized to more efficiently understand the content of the hundreds or thousands of contracts many companies possess. David even suggests that contracts as we know them today may be replaced by smart contracts that rely on company-specific data that can be inserted into a model that generates optimal contract terms based on the data inputs.
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Kirk is one of the most brilliant and intense entrepreneurs in the data industry. He is the co-founder of Carbon Arc, a decision intelligence company. Prior to Carbon Arc, Kirk was the head of proprietary research at Point 72 Asset Management. Earlier in his career Kirk was head of proprietary research at Glenview Capital and an analyst at Tudor Investments.
Kirk discusses how data analysis couples fundamental frameworks and purpose driven pipeline engineering to provide decision intelligence. With this framework in mind, he explains how the tools investors use to gain insight can be applied to corporate decision-making. Kirk also delves into the challenges with both data and methodology, highlighting how data engineers and data scientists need to understand business applications, and how business users need to understand the core functions and limitations of data technology. Kirk concludes the episode by providing vital insights into the future of the data ecosystem.
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This is our second special recap episode of I See Data People!
This recap episode summarizes 3 key themes:
Data quality is vital to not only making the data usable, but also to trusting the results from models leveraging that data.
Failure to handle data quality issues correctly can lead to “fake news” problems, compounding biases and exacerbating societal challenges about whether we can trust the information we are seeing.
Alternative data becoming mainstream is inevitable, especially as corporates see more and more use cases for these novel data insights
Our hosts, Omri Shtayer and Evan Schnidman, go into detail on each of these themes, referencing remarks made by our guests and inserting their own commentary.
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Scott is the founder and CEO of AltHub, where he helps data providers refine their offering so that investors and corporate data users can make use of the data. Prior to AltHub, Scott was the Managing Director Briarcliff Hall, a sales consultancy. He also ran sales at Roubini Global Economics, was COO of a division of Morningstar, a Managing Director of Data Feeds at Thomson Reuters, and started his career at JP Morgan before joining Lehman Brothers and Zacks Investment Research.
Scott discusses the history of investors generating alpha from novel data sources, and where alternative data fits into that landscape. Scott also delves into the challenges with making data usable for asset managers as well as for corporate data users.
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Salam is a Senior Director of product at Similarweb, leading the market research data product which utilizes a combination of user based data and behavioral science. Salam is also a board member of Women in Tech. Prior to Similarweb she led product at Toluna, and previously worked at eBay, Microsoft and Intel.Salam discusses the rise of personalized data experiences, leveraging data to protect future behavior, and the role of human emotion as an added layer in data analytics. Salam highlights that more women are needed in the data industry.
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David is the founder and CEO of New Constructs, an investment research company leveraging AI to provide improved equity analysis. In addition to founding New Constructs, David previously ran a long/short equity hedge fund. Prior to New Constructs, David started his career at Credit Suisse, where he pioneered methods for analyzing regulatory disclosures and accounting information, and worked in executive compensation consulting.
David discusses the process of extracting data from regulatory filings, how that process has changed over the last 25 years, and how to glean novel insights from these public disclosures. David explains how extracting accurate data is vital to making informed investment decisions, as well as crucial to training AI models.
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Stefania is the founder and CEO of Physis Investment where she leverages ESG data and analysis to help investors understand, track, and measure the impact of investments. Prior to Physis, Stefania was an impact fund manager and an advisor to large institutional investors on ESG investing.
Stefania discusses use cases for sustainability data and how she sees ESG evolving over the next few years. Stefania explains the nuances between impact investing, sustainability and ESG, while also highlighting how important data is in driving these investment strategies.
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Saurabh is the founder and CEO of Taiyo AI and was previously the Director of the Stanford AI Index. Saurabh is also a current Brookings Institution Fellow and fellow at the Bank of International Settlements. Saurabh was previously an economist at the International Finance Corporation (IFC), the International Monetary Fund (IMF) and the World Bank. Saurabh discusses the intersection between economics and AI.
He explains how he is leveraging data and AI to derisk major infrastructure investments, and the data architecture necessary to implement such AI models at scale. Saurabh also touches on data quality and reliability concerns, as well as how we can leverage AI to tackle massive societal challenges.
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Amos is the founder and CEO if Prof of Wall Street and was previously an academic economist studying Neuroeconomics. Amos also served as the chief economist to a hedge fund and spent much of his career applying behavioral economics principles to marketing.
Amos discusses how to utilize data to identify and combat cognitive biases in investing. He also touches on the intersection of AI, data science and economics, with a particular focus on how theory can help avoid overfitting and spurious correlation.
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Scott is the founder and CEO of JaxonAI, a rapid prototyping platform that enables users to easily build and iterate upon custom, fully-trained AI models. Prior to Jaxon, Scott was the founder and CEO of Dropfire, Founder and Managing Partner of BigVAR, and Founder and Managing Partner of BigR.io.
Scott discusses the evolution of AI model training in recent years, as well as his experiences selling data technology into both government and private sector companies.
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Sarah is the founder and CEO of Sequentum, a low code platform for collecting web data. Prior to founding Sequentum, Sarah spent most of her career as a quality assurance professional, giving her a unique perspective on how to data cleanliness and quality.
Sarah discusses how her perspectives on data quality influence how she thinks about scaling web data extraction and other challenges in gathering data. Sarah also delves into how she thinks about the user feedback loop and improving customer experience for those using new data technologies.
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Jon is the founder and Managing Partner of Anduril Partners. Prior to founding Anduril, Jon was portfolio manager and Chief Data Officer for Fundamental Equities at GSAM. Jon is also a current fellow at FISD.
Jon discusses how the asset management community leverages data, and how he is increasingly seeing corporates adopt similar use cases for data as part of their workflow. Jon delves into how factor models and sound processes for evaluating data are vital to making decisions based off of data.
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This episode summarizes four key themes:
What it takes to bring a data product to market
How to price data and ways data pricing may soon change
Trends in Artificial Intelligence and how it relates to data
Predicting the next 5 years of growth in the data industry
Our hosts, Omri Shtayer and Evan Schnidman, go into detail on each of these themes, referencing remarks made by our guests and inserting their own commentary. This episode is a bit longer than usual, we'd love your feedback!
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Thomas is the founder of Fc centripetal. Previously, he was the founder and CEO of ETR / Aptiviti. Thomas was a pioneer in the alternative data industry, blazing a path in 2008 into the space.
Our discussion with Thomas discusses the process of productizing data, pricing it appropriately and understanding your client’s use case. He explains how poor data in the market can drive down the prices for those selling great data. -
Isabel is the founder and CEO of Arbilex, a data-driven marketplace for litigation finance. She started Arbilex after graduating from Harvard Law School and noticing her statistical background gave her a unique perspective on legal outcomes.
Our discussion with Isabel highlights how a data-driven approach to investing in litigation results in outsized returns. Isabel shares her experiences melding the legal and financial worlds with data as a bridge.
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Dan is the founder and CEO of GravityAI, a marketplace for data science and AI algorithms. Prior to founding GravityAI, Dan was a Head of Product at State Street, and a Senior Product Manager at Boston Consulting Group.
Our discussion with Dan revolves around the rapidly evolving toolkit for data science and data engineering work. Dan delves into streamlining the data science workflow and where AI goes from here.
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Mark is the Head of Data Sourcing for Capital Fund Management. Prior to CFM, he was the Communications Director for Exabel, and a Senior Analyst at Stratfor. Mark is also the host of The Alternative Data Podcast.
Our discussion with Mark focuses on his unique story about breaking into the data industry, the current state and future of the industry and then delves into how he views data vendors from his new perch on the buy side.
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