19 Women in Real-time Analytics and AI to Watch in 2024

2024 was a big year for real-time data and AI. Here are 19 women we watched who are moving technology, business, and ethics of real-time data and AI forward.

Update: Early in 2024 we published a list of women who were poised to influence the future of real-time data and AI. Now, at the end of 2024, we’re sharing their recent contributions to the field in terms of technical, business, or ethics advancement. The rapid pace of generative AI and LLMs made for a roller-coaster ride for the leaders trying to make this transformative technology safer, more trustworthy, and always faster for enterprises and users.

One of the most significant AI technologies, generative AI, is putting the spotlight on real-time capabilities.

A known risk associated with training all models, not just LLMs, is bias in the training data. This bias can have devastating consequences for individuals, especially in software that automates insights or decisions about employment, “profiling,” finances, and health care. The areas where biased data can lead to damaging results for individuals and whole communities are too many to list here.

How does one overcome bias in data? By ensuring that a dataset truly represents the population being measured and analyzed. Experts suggest that bringing diversity into every level internally can lessen bias in data sets. To put it plainly, it’s often a woman, a person of color, or a veteran who notices the omission of their group from a data set.

These women are changing the makeup of executives and data scientists who work in the field of real-time analytics. They are founders and CEOs of companies that deliver or enable real-time analytics. They are technical leads working on real-time analytics projects and some are masters of using real-time analytics and guiding how their organizations build and adopt real-time decision support and automation.

Shruti Bhat, CPO and CMO, Rockset

Part of the early founding team at Rockset, a search, analytics, and AI database, Shruti Bhat leads product, design, global marketing, and partnerships for the company. Prior to Rockset, she led product management for Oracle Cloud, spanning Oracle’s SaaS, PaaS, and IaaS portfolio with a focus on AI, IoT, and Blockchain, all of which have an aspect of real-time data processing or analytics. Shruti uses her role as a member of the Forbes Technology Council to highlight the business impact and technical foundations of real-time analytics.

December 2024 update:

OpenAI acquired Rockset in June 2024 where it provides real-time AI-driven search and retrieval.
Keynote at QConn 2024 on “Pioneering the Future: Advancing Infrastructure for Agentic AI.”
Shruti serves Sequoia Capital as a Sequoia Builder, that is, a product and GTM advisor.

Sophie Blee-Goldman, Founding Engineer, Responsive

Sophie works on software for Responsive that helps developers write and run real-time applications at any scale. She is an expert in Kafka Streams and one of the open-source project’s top contributors as well as serving on the Project Manager Committee for Apache Kafka. An internship at Google introduced her to the open-source development approach working on the Linux kernel userspace. She started her tech journey studying physics and doing graduate student research on quantum materials eventually becoming a senior software engineer at Confluent.

December 2024 update:

Sophie continues to contribute to Kafka Streams and has developed her own project, Otter, to make it simpler to work with Kafka streams. She explains how in this Current 2024 talk.

Taylor Capito, Co-founder and CEO, GenRAIT

GenRAIT is a startup building an AI-enabled software platform for scientists working with genomic and bio-data. Taylor and her team are applying automation to the biology field with the result that new products designed from genomic data reach the market more quickly. She is a recognized expert in the data security field.

December 2024 update:

Taylor is very active as an expert on health tech and AI investment, for example at Future Investment Institute’s 8th Edition 2024.
Her @TheGenBio podcast dives into the breakthroughs at the intersection of biology and technology.

Shir Chorev, Co-founder and CTO, Deepchecks

The Forbes Europe 30 under 30 2021 list included Shir Chorev who had impressed with her technical foresight and entrepreneurial drive. Before co-founding Deepcheecks which provides continuous validation that ML and AI models are functioning correctly and being trained on quality data, Shir had already had positions within the Israeli military and government where she applied her data science skills and her research into algorithms to cybersecurity. She describes her team as being passionate about “knocking some common sense into machine learning.” Deepcheeks has recently contributed much of their code to open source and are pursuing an open-source based business model.

Deirdre Clute, Co-founder and COO, Rightfoot

Included in the Forbes 30 under 30, Enterprise Technology list in 2022, Deirdre has launched a successful startup that has developed APIs for developers adding debt repayment functions to applications. Rightfoot has a higher goal for its ability to provide financial services with real-time information and analysis–to address consumer debt inequities for underrepresented communities. Deirdre also advises the startup accelerator StartX where she guides more than a dozen early-stage companies.

Ravit Dotan, Founder and CEO, TechBetter

Ravit’s work on AI ethics started when she worked on her Ph.D. in philosophy when she began questioning the objectivity of machine learning. She contributed to a work that the Association for Computing Machinery (ACM) Conference on Fairness, Accountability, and Transparency (Facct) named the “Distinguished Paper” for 2022 titled “The Values Encoded in Machine Learning Research.” Now she works with organizations to help them create frameworks and practices around ethical AI, and most importantly, how to integrate those into their business models.

December 2024 update:

Co-authored the IEEE-USA’s new guide helps companies navigate AI risks.
Named to the federal advisory committee on AI acquisition (GSA Acquisition Policy Federal Advisory Committee).
Launched “The AI Ethics Treasure Chest” resource with practical checklists, policy analysis, test results, and even the role-playing “AI Ethics Game.”

Chip Huyen, Co-founder, Claypot, Inc.

Claypot AI is a platform for real-time machine learning. As a co-founder of the startup and co-creator of the platform, she contributed her expertise in streaming data, low-latency applications, data science, and AI. She had previously built machine learning tools at NVIDIA, Snorkel AI, and Netflix. Chip is the author of “Designing Machine Learning Systems” (O’Reilly, June 2022), an Amazon #1 bestseller in AI. In this book, she shares her experience creating online prediction applications and the continual learning cycles that are vital for keeping models up-to-date.

December 2024 update:

Claypot was acquired by Voltron Data in early 2024.
Chip wrote a new book, AI Engineering: Building Applications with Foundation Models, published by O’Reilly in December, 2024.

Anjali Joshi, Director on multiple boards, Executive in Residence, Alteryx and INSEAD

Anjali Joshi currently serves on the boards of Xero, a provider of cloud-based accounting software for small businesses, Alteryx, a provider of automated analytics solutions, and Loconav, a Sequoia-funded private company in the fleet management space. Her engineering and product management background in search, image search, maps, news, health, broadband services, and language technologies has earned her a seat on these and past boards.

As an Executive in Residence at the INSEAD business school in France and collaborator at the Stanford MS&E department, she works with faculty and students on projects related to technology and society. Anjali is also on the Advisory Board of the Markkula Center for Applied Ethics and speaks internationally on the ethical use of AI.

December 2024 update:

Advisory Board Member of the National AI Institute for Exceptional Education which seeks to develop advanced AI technologies for speech and language pathologist services.
Board Member of Persistent Systems.

Mubassira Khan, Sr. Scientist, US Dept. of Transportation

Before joining the Transportation Department and its Center of Excellence for Highly Automated Systems Safety, Mubarissa worked at General Motors (GM) as a senior data scientist and project manager. She contributed to the Automated Driving Mapping software and Zero Emission Utility Service product as a senior AI/ML scientist, and served as product manager for the infotainment application analytics product. With her team, she earned 10 records of inventions for GM patents and trade secrets and has been recognized as one of GM’s leading inventors. She currently works for the U.S. Department of Transportation in its Highly Automated Systems Safety Center of Excellence.

December 2024 update:

Mubassira is leading a U.S. Department of Transportation effort to understand the safety challenges of vehicles equipped with automated driving systems.

Linda Leopold, Head of Responsible AI & Data, H&M Group

Linda has earned recognition for her focus on using AI to make H&M, and the fashion industry as a whole more sustainable. A leader in the “AI for good” movement, she has introduced an Ethical AI Debate Club at H&M as a way to get more employees thinking about the issues around AI. UNICEF wrote a very positive case study of H&M’s careful use of AI. It recommended that H&M pay special attention to children in its ethical AI framework, a critical dimension that Linda and her team have added. Linda believes that her background in journalism has helped her bring a different perspective on technology, especially AI. Read more about her in this Forbes interview.

December 2024 update:

Named a Trailblazing Woman in Enterprise AI 2024 by Reuters Events (inaugural list).
Serves as a member of Sloan Management Review’s panel of experts on responsible AI.

Laura Miller, Founder, NextGen Ethics

Laura’s engagement with AI ethics spans government, business, and academia. A recognized AI ethicist and expert on designing and implementing governance frameworks, she is a NASA IDEA specialist, advises the National Institute of Standards and Technology (NIST), and teaches ethics in the philosophy program at Webster University.

December 2024 update (source):

Delivered over 40 talks this year, including collaborations with DCN Global , World Learning, and the U.S. Department of State.
Received Leadership Awards in education and tech and was a semi-finalist in two AI startup competitions: Startup World Cup (global) and Arch Grants (local).
Signed a book deal with Packt for AI Ethics in Action, debuting Q1 2025—a practical guide on the real-world implications of AI ethics.

Mira Murati, CTO, OpenAI

Mira Murati’s ascent to being the CTO at one of the industry’s most-watched companies started with a childhood passion for mathematics and moved to physics, aerospace, a stint at Tesla and an augmented reality startup Leap Motion. At OpenAI she leads the work on ChatGPT, Dall-E, and Codex while leading the research, product, and safety teams. The responsible development and use of AI is a dominant theme in her work. She has explained the efforts to reduce harmful bias in DALL-E by adjusting the ratio of female and male images in the training data and eliminating overtly sexualized images. As she summarized, “You have to constantly audit.”

December 2024 update:

Dartmouth College awarded Mira an honorary Doctor of Science for having “democratized technology and advanced a better, safer world for us all.”
Time included her in their list of “The 100 Most Influential People in AI 2024.”
In September 2024 Mira left OpenAI to allow her the opportunity to “create the time and space to do my own exploration” as she explained when she announced her decision.

Danielle Pensack, Co-founder and CEO, Rightfoot

Danielle is an advocate for real-time data and urges companies to stop making important decisions with stale data. At IBM she worked on their Banking API strategy, helping to deliver complex projects in international settings. Rightfoot brings real-time functionality to a customer’s technology stack who then can bring streamlined debt management and repayment capabilities directly into their user experience. Danielle and her co-founder Deirdre Clute saw the greatest need in student-loan repayment and created Rightfoot to address this problem which is a barrier to building wealth. Rightfoot has grown into other financial services institutions.

December 2024 update:

Rightfoot has extended its reach and gained customers in financial wellness, payroll, and 401k administration in addition to its early gains in student-loan repayment.

Chastity Johnson Santos, Global Risk Officer, Citi

Wearing two hats, Chastity Johnson Santos is a highly-regarded quantum scientist and global risk strategist, especially for finance. Her newest endeavor combines both. She founded CyberSafe Policy, an initiative aimed at harmonizing quantum advancements with cybersecurity protocols. She closely watches the development of the quantum cryptography ecosystem looking at the government and private sector drivers for its growth. Chastity has earned a certification from the Cybersecurity and Infrastructure Security Agency (CISA) and currently serves as the Global Risk Officer and Vice President for Citi.

Susan Sly, Founder and CEO, The Pause Technologies

Susan, the founder and CEO of The Pause Technologies, an AI platform dedicated to aiding women through menopause, has a long history in the technology sector. Susan was named one of the top female AI entrepreneurs in North America in 2023. Before her current venture, she led RadiusAI a company that specialized in computer-vision AI solutions for retail and healthcare. RadiusAI, under her direction, won the AI Innovator at The Edge award from VentureBeat in 2022 recognizing the transformative real-time insights in retail through queue analytics, customer counts, store layout, parking lot analytics, and customer journey and employee performance metrics. Susan’s approach to AI is distinctly human-centric, emphasizing designing AI solutions that enhance rather than replace human skills.

December 2024 update:

Late in 2023, Susan and her partner, launched The Pause, an AI platform that uses AI and gamification for women to manage their menopause.
The Pause received the Phoenix Business Journal’s 2024 AZ Inno Fire Award.
Organized the inaugural FemTech and Women’s Health Summit conference (with the Phoenix Commerce Authority).
Serves on Algoface’s advisory team.

Zuzanna Stamirowska, Co-founder and CEO, Pathway

When Pathway was still an early-stage startup in 2021, Zusanna was one of 50 deep-tech startups that received targeted funding and coaching from the EU through Women TechEU pilot program funded under the European Innovation Ecosystems program of Horizon Europe. Her real-time analytics company, Pathway, reduces data pipeline complexity and integrates privacy into LLMs with a single engine that supports batch, streaming, and LLM architectures supporting one syntax for working with all three.

December 2024 update:

Zuzanna has led Pathway through important achievements:

Included in the Gartner® Emerging Market Quadrant™ for GenAI Engineering.
Collaborated with NATO to deliver its next data-processing and simulation systems.
Joined the Linux Foundation’s Open Platform for Enterprise AI initiative.

Diane Strutner, Co-founder and CEO, Datazoom

With a background in various aspects of media, Diane realized that the industry was not using data to its fullest potential, relying often on stale data or incomplete data to make strategic decisions, including program funding and investments. Her data-as-a-service platform, Datazoom addresses that issue by providing data on streaming end-points in real-time so that decisions could be based on actual viewership and not on extrapolations. Diane is active in the American and Spanish startup scenes and is a founding board member of Women in Streaming Media.

December 2024 update:

Datazoom was one of 15 partners featured by Amazon Web Services under “next-generation monetization demonstrations” at the 2024 National Association of Broadcasters Show.
AWS Elemental included Datazoom’s video analytics in its Media Tailor offering (shown at the IBC & TM Forum event).

Bosmat Tuvel, Director of Product Management, Speedb

At Speedb, Bosmet works on its product aimed at simplifying the usability of complex data engines with a focus on stabilizing performance and making it more predictable. She has spent the last 15 years in the storage and data space. At IBM she worked on real-time compression and worked on high-performance infrastructure at Dell as a software engineer. Now at Speedb she applies her experience with solving latency issues around data access for very large and complex workloads.

December 2024 update:

In March the real-time in-memory database vendor Redis acquired Speedb for its ability to overcome RAM limits by accelerating its storage drive IO.
By August, Speedb was offered as Redis Flex, part of the Redis 8 offering. The Redis 8 announcement noted that the Speedb integration resulted in 80% lower costs for customers.

Sharon Xie, Founding Engineer, Decodable

Sharon leads the data platform development at Decodable, which supports stream processing and data transformation tasks. She has been building and operating streaming data platforms for over 6 years with extensive experience in open-source software, namely Apache Kafka, Apache Flink and Debezium. Before Decodable, she was a tech lead of the real-time data platform at Splunk focusing on the streaming query language and developer SDKs. She is a believer in automation, having implemented it to save time and improve consistency in her own development environment.