Talking shop with the people behind data products
#DataFemme features Danielle, founder of Dikayo Data, in conversation with product managers, marketers, developer advocates, architects and consultants from across the data industry. Topics range from knowledge graphs and drug-discovery data to planning conferences and how a consulting team keeps up with AI.
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#DataFemme is built on conversations with people who work inside data companies. Danielle, founder of Dikayo Data, opens episodes with a familiar welcome. Her guests hold titles that run from VP of product management and senior product marketing manager to developer advocate, solutions architect and CMO. That spread shapes the questions. With Jesse Smith, VP of product management at Atacama, the talk turns to the cross-functional pull of product work and why getting in front of customers is harder early in a career. The show introduces Atacama as a unified data trust platform, and the episode is titled 'The People Dimension: Why Data Trust Starts With Us'. 'Druid Is Its Own Language' features Larissa Klitsky, senior product marketing manager at Imply, and takeaways from Imply's Druid Summit. Part of that exchange is about analytics with no wait time. Once someone is in the zone, a ten-second load breaks the flow, though the bigger warehouses from Google or Snowflake still get credit for their value. Monica Miller, a senior developer advocate at Starburst, previews the free, virtual DataNova conference. The sharpest thread there is about programming a virtual agenda. Without hallway chats, sessions need stories that work one-to-many, and a Spotify playlist becomes the bar a talk has to clear. Reza Duploy of Data Lab Solutions, who met Danielle on LinkedIn, comes on to talk about managing a consulting business in the data world. In that conversation, keeping up with AI means webinars and podcasts every week, user groups, and conferences when time allows. Those ideas then pass to a team that puts them to work for clients. A separate thread runs across two episodes made with Ontotext. 'In Pursuit of Messy Knowledge' brings together Doug Kimball, Ontotext's CMO, solutions architect Krasimira Bosanova and content writer Theodora Petkova to talk about knowledge graphs and semantic layering. One exchange lands on a plain rule for aligning teams with different goals: ask what someone is actually trying to solve, then ask the second-level questions. 'Target Discovery Makes Data Real' keeps Doug Kimball, adds two new guests and moves into healthcare data. There, scores and evidence metrics show which facts are well established. A fact confirmed by a second source carries more weight in early drug R&D, where a single decision can cost billions. Danielle suggests hearing the first installment before the second, since the second refers back to it. Several episodes are tied to a partner's event or project, and the openings say so up front. The register is warm and eager. The closings send listeners to the guests' companies and to LinkedIn, where Danielle asks people to keep the conversation going.
Made for: Suits a listener who works around data products, whether in product, marketing, developer advocacy or consulting, and wants to hear how people in those roles think about customers, events, knowledge graphs and keeping up with AI.
What sets it apart: It hears from the people around a data product, from product managers and marketers to developer advocates and consultants. It often ties an episode to a partner company's conference or content project, including a linked pair of episodes made with Ontotext.
Join Dikayo Data and the brightest voices in data science for a weekly riveting discussion about the future of the data science industry, with a bent on diversity.
Danielle brings astrology into a data conversation; your usual topic boundaries can take the afternoon off.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A grounded conversation on the relationships that make data quality work possible.
DataFem's conversation with Jesse Smith, VP of product management at Atacama, frames data trust less as a tooling problem than as work shaped by people, access, and relationships.
A practical case for real-time analytics when delay changes the outcome.
The episode frames real-time analytics around moments where latency has a cost: a recommendation that has to land now, a manufacturing outage, or customers affected by a power failure.
Monica Miller judges virtual conferences by whether they add something useful enough to carry back into the workday.
DataFem's episode with Monica Miller frames virtual conference design as a practical test of attention and usefulness. Miller, a senior developer advocate at Starburst, traces her path into data through an internship, then turns to DataNova, the free virtual conference she…
A grounded conversation about how a data consultancy keeps learning while client work keeps moving.
This DataFem episode frames professional growth as everyday operating practice inside a data consultancy. Reza Duploy describes how Data Lab Solutions works across Cape Town and London, serves clients globally, and draws much of its team from South Africa.
A grounded discussion of how evidence, graphs, and LLMs could sharpen high-stakes drug target discovery.
Target discovery sits at the center of this DataFem panel on LLMs, knowledge graphs, healthcare, and drug R&D. The conversation is strongest when it turns from broad promise to the practical work of judging evidence: checking across sources, tracing facts back, and separating…
A grounded panel on knowledge graphs, team friction, and the useful messiness of data.
DataFemme turns semantic layering and knowledge graphs into a practical conversation about what teams are actually trying to solve with their data.
AI research, explained by the people doing it.
Specialists walking through software's tradeoffs, one system at a time.
Founders and engineers on AI coding agents like Claude Code, and supply chain security.
DataFem brings Danielle, founder of DiCaio Data, together with Jesse Smith, VP of product management at Atacama, for a conversation about enterprise data trust.
Larissa Klitsky, Senior Product Marketing Manager at Imply, explains how Apache Druid started in ad tech around 2011-2012 and why Imply Polaris was built as a managed layer around it.
Danielle interviews Monica Miller, a senior developer advocate at Starburst, about DataNova, a free virtual conference tied to October 23-24, 2024.
DataFem's "Where Work Meets Perpetual Learning" pairs Danielle LeBlanc with Reza Duploy of Data Lab Solutions, a consultancy based in Cape Town and London.
DataFem's second Ontotext panel pairs Danielle from Dicayo Data with Doug Kimball, Samantha Isdale, and Martina Markova on target discovery.
DataFem’s panel examines how Ontotext uses semantic knowledge graphs to connect structured and unstructured data through relationships rather than isolated records.
#DataFemme’s “Technical Empathy Comes in Waves” features host Danielle interviewing Alex Merced, a Dremio developer advocate and data lakehouse evangelist.
#DataFemme host Danielle interviews David Jayatalaki, founder of Delphi, about using semantic layers and LLMs to deliver safer data access to nontechnical stakeholders.
Chelsea Douglas explains how a master’s degree in music cognition led her from MATLAB, R, and Python research into Plotly, where she became VP of Customer Success after eight years.
DataFemme host Danielle, founder of Dicayo Data, interviews Verint leaders Jenny Pilosik and Trudy Cannon about workforce-management data, automation, and customer engagement.
#DataFemme’s “The High-Lows of Silos” brings Danielle, Erica Dickinson, Touche Kasichi, and Kelsey Sampson together to examine how organizational structure affects data quality and collaboration.
Danielle, Daria Malone, and Meg Pirong compare jobs that pay bills with careers chosen intentionally for skills, experience, passion, or five-year goals.
Leah Jarrett, a Google Looker product manager, describes moving from biomedical engineering and computational biology research on cancer mutations into data science and cloud analytics.
#DataFemme host interviews Adam Wilson, CEO of Trifacta, about cloud analytics, self-service data preparation, and the risks of automating decisions with poor-quality data.
Sepi Sefzadeh, IBM's program director for open source data and AI technologies, explains how Project CodeNet contains approximately 14 million code samples linked to 4,000 coding problems.
DataFem host Danielle interviews Open Teams leaders David Arulaya and Fatma Tarlasi about formalizing diversity, equity, and inclusion work across Open Teams and QuantSight.
Danielle hosts Ijeomaka, Asma, Mallory, and Jared Lander on entering data science, choosing R, healthcare research, and the R community.
#DataFemme’s “Data Across The Board” examines connections between chess and data science through host Danielle and guest Neil Richards, a Tableau Zen Master.
DataFem host Danielle, founder of DiCaio Data, speaks with astrologer Julie McGill and Enneagram practitioner Sandhya Sudhakar about interpreting personal frameworks as data-rich systems.
DataFem host Danielle interviews Selina Carter, a data scientist at the Inter-American Development Bank, about connections between art and data science.
DataFem host Danielle and guest Chris O'Brien introduce cloud computing through a slide-guided discussion aimed at data science learners.
Stephanie Kermer, senior data scientist at Saturn Cloud, recounts a career path from medical sociology at Portland State University to analytics, higher education, Chicago education research, Uptake, and data science.
Tanika Eskew, head of people analytics at Mozilla, describes moving from Booz Allen data modeling and SAP work into Tableau, Power BI, and people analytics.
#DataFemme brings Danielle, Melissa Bridges of Little Rock, and Whitney Sonskin of New Orleans together to discuss city data and community decision-making.
Data Femme host Danielle interviews Peter Wang, CEO of Anaconda, about algorithmic bias, ethical data science, and whether responsible practices can reduce business profitability.
#DataFemme host Danielle interviews Emma Goliath, a physicist and Plotly developer who learned Python to process image data from glass research.
#DataFemme's “Something About Humanity” begins with Danielle mourning her grandmother, Dr.
DataFem's “Don't Let Labels Hold You Back” features Danielle, founder of Dicayo Data, interviewing Jennifer Cooper, vice president of strategy analytics at JPMorgan Chase, about her route from pre-med studies to analytics.
Host Danielle interviews venture capitalist Arlen Hamilton about her book and using data for inclusion.
DataFem host Danielle and Leila Buzuba interview Dr.
DataFem host Danielle interviews Janine Harris, author of Statistics with R, about her route from five undergraduate majors and middle-school math teaching to biostatistics.
DataFem host Danielle, founder of DiCaio Data, leads Scarlett Winters, Jeremy Mason, and Kaylin Dawson in a discussion of Pride Month, queer representation, and data-model design.
DataFemme's season two premiere features Danielle, Ayodele Odubella of Samba Safety, and Delise Ramirez of Netflix discussing racial bias in data science and visibility for Black women.
#DataFemme host Danielle interviews Quinn McHenry, a senior developer at Small Planet, about machine learning, mobile applications, and writing software for changing conditions.
Danielle, founder of Dicayo Data, interviews Fern Halper of TDWI about a gender-pay-gap analysis using TDWI salary-survey data.
DataFem host Danielle interviews Christine Tay, a former data analyst who became a financial coach after moving from computer science and corporate FP&A into personal finance.
Catherine Simeon, a Northwestern University PhD candidate, uses R to analyze children’s eye-tracking data during spoken-language processing studies.
#DataFemme host Danielle interviews Heather Fetterman, BigID’s Vice President of Privacy and Policy, about privacy law, corporate data practices, and pandemic-era data collection.
Danielle, founder of DiCaio Data, interviews Peggy Tsai, VP of Data Solutions at BigID, about data governance, privacy, and data discovery.
#DataFemme’s “Cats, Class and Corona” features Danielle, Eva Warren, and Jacob Capish discussing race, health disparities, criminal justice data, and COVID-19.
#DataFemme features Sarah Nell Rodriguez, a data-literacy expert who moved from retail and collections work into analytics through Excel, Cognos, Lean Six Sigma, and self-directed learning.
#DataFemme interviews Anaconda product marketing director Thais Kozga about AnacondaCon 2020, Anaconda products, and data-science community building.
#DataFemme introduces Patterns, a Cell Press data science journal scheduled to launch its first issue in April.
Host Danielle shares insights from a data science conference, discussing industry trends and the importance of diversity.
Dr.
#DataFemme’s ninth episode pairs host Danielle, founder of DiCaio Data, with Amar Natt of EconOne Research to examine predictive modeling, causal inference, and responsible data use.
Gustavo Alvarenga describes GEARs, a time-series forecasting method designed to be easier for nontechnical researchers while producing competitive accuracy.