2024-05-15T09:00:00.000-04:00

Nicole Carignan is the VP of Strategic Cyber AI for Darktrace, and she has 25 years of experience in cybersecurity, networks, computer science, data science/artificial intelligence and IT supporting numerous private and public institutions in cybersecurity solutions and data science. She has 20 years of federal USG experience. Her expertise in Cyber Threat Intelligence, Data Science, Machine Learning, Artificial Intelligence, Defense in Depth Solutions, Operations Engineering, and Network Security products gives her insight into technology, tools, and techniques for unique solutions. In this role, she serves in executive leadership for the application of artificial intelligence to cyber security through thought leadership, product strategy, research, and communications.

Danielle Benecke is the Founder and global head of BakerML, an industry-leading practice and venture that combines the Firm's legal expertise with advanced AI. Danielle was previously a senior lawyer in the Firm's IP and Technology Practice advising clients on the development and use of AI, as well as a regional leader of its Reinvent innovation program. Danielle has a Masters of Law, Science, and Technology from Stanford University, was previously a member of the Stanford Graduate School of Business' Venture Studio and a Fellow of the Legal Design Lab, and has served as a venture coach in CodeX's AI and Law program

Jenny Lundberg is the Vice President and Head of Platform Product Management and Ecosystem Success at SAP Concur. She leads a global team responsible for the vision, product direction, and roadmap for Concur's open technology platform, data strategy, and Concur's Analytics portfolio. The platform provides business agility to customers and partners by making it easy to integrate and extend on top of SAP Concur's core solutions, as well as providing actionable data insights. Jenny and her team are committed to collaborating with partners to co-innovate and create even more value for customers. With almost 30 years of experience in the tech industry, she is dedicated to using technology to solve real-world problems. Jenny holds a Master of Science degree in Industrial Engineering and Management from Chalmers University of Technology, Sweden.

Jennifer Stirrup is the Founder and CEO of Data Relish, a UK-based AI and Business Intelligence leadership boutique consultancy delivering data strategy and business-focused solutions. Jen is a recognized leading authority in AI and Business Intelligence Leadership, a Fortune 100 global speaker, and has been named as one of the Top 50 Global Data Visionaries, one of the Top Data Scientists to follow on Twitter and one of the most influential Top 50 Women in Technology worldwide.

Jen has clients in 24 countries in 5 continents, and her client list includes Microsoft, the NHS, the UK and Northern Ireland Governments, The Ashridge Hult Business School, CBS Interactive, O’Reilly and Virgin Atlantic.

She holds postgraduate degrees in AI and Cognitive Science. Jen has authored 3 books in data and artificial intelligence has been featured on CBS Interactive and the BBC as well as other well-known podcasts, such as Digital Disrupted, Run As Radio and her own Make Your Data Work webinar series.

Zonghui Wei is a senior data scientist at BakerML, having joined the team in 2022. Prior to this role, she spent over two years working as a consulting data scientist for Baker McKenzie, during which she specialized in building predictive models by harnessing the firm’s structured data. Upon transitioning to BakerML, Zonghui expanded her focus from predictive modeling to the application of generative AI in legal fields. She has collaborated with diverse practice groups, including Employment, IPTech and Tax, to develop GenAI prototypes tailored to empower Baker McKenzie’s legal service. These initiatives aim to amplify efficiency, enhance quality, and reduce costs.

Zonghui holds a Ph.D. in Applied Physics from Northwestern University, with her research focused on computational studies of polymeric gene delivery systems for gene therapy.

Aditi Gupta is a Principal with Deloitte Consulting and leads large-scale, global business transformations enabled by the SAP platform.

She helps companies transform into more efficient and effective organizations by embracing modernization, innovation, and next-gen capabilities such as cloud, automation, and AI.

Aditi serves as the national leader for Deloitte SAP’s Purpose, Diversity, Equity and Inclusion (PDE&I) program and is a sponsor for the Women in SAP initiative. She is passionate about mentoring our future leaders and supporting the thought evolution on what a leader “looks” like.

Outside of work, Aditi is most excited about spending time with her niece and nephew and taking in new countries and cultures on her travel adventures.

Rhea Anthony is a Product Security Architect Associate at SAP's Global Security team. Her mission is to research and develop robust software security and secure software development practices that support innovation and champion a security-first culture that impacts products across SAP. She is actively engaged in researching threats and safeguards for developing AI Software, for secure data consumption and secure model, to ensure security at the forefront of AI development. This also includes reviewing and adapting industry standards (eg: OWASP Top 10) and regulatory requirements (eg: EU AI Act) with consideration of SAP's diverse technology and use of open source software.

With prior experience as an Analytics and Machine Learning programmer, she understands the challenges of development which lends her a unique perspective in bridging the worlds of AI development and security, with a vision of innovating solutions where security and usability are intricately interwoven.

Rhea is an Engineer with a Master's Degree from the University of Texas at Dallas in Business Analytics, majoring in Data Science. She is a speaker, advocating for adopting ethical AI principles and empowering development teams to navigate through the security challenges inherent in AI development. In this ever-evolving landscape of technology, she values continuous learning and building strong collaboration with industry peers in fortifying the future of technology.

Chana Greene is a Data Science Manager and the Analytics Lead for the Generative AI Trust & Safety Team at Meta.  She leads a group of Data Scientists and Data Engineers working at the cutting edge of generative AI, assessing the performance of this new technology at the component and system level as well as designing new measures and mitigations for risks that emerge in this area.  She has previously supported teams working on Portal, Oculus, and Social VR products at Meta as well as teams responsible for risk models and mitigations at Airbnb.  Some of her biggest motivations day-to-day are coaching the folks on her team in their personal and career goals, bringing in new perspectives to decision making, and ensuring all communities can benefit from the current wave of AI innovation.

Before taking the leap to tech, Chana served for 8 years as an officer in the United States Air Force. She has a Bachelor of Science in Physics from MIT and a Master of Science in Applied Mathematics from the University of Washington. Before her 4-year old and 18-month old co-workers came into her life and ate up most of her spare time, she enjoyed playing board games with friends, knitting whimsical toys, and baking cheesecakes to share.

Award winning tech marketer and content expert Sandra Moerch is a purpose driven education marketing leader at Autodesk. Before joining Autodesk in 2023, Sandra spent nearly a decade at SAP, which makes this SAP-sponsored WiDS event extra special to her. With a background in enterprise software, technical product management, DEI, education and sustainability, her career spans many industries and facets of business. Sandra has worked in technology for her entire decade-long career, and joined stages around the world from Davos, to MWC, to SXSW, where she has inspired brands to infuse a sense of purpose into their core business strategies, and empowered the next generation to lead responsibly when building and adopting the latest technology trends. Personally, Sandra lives by the mantra “Think global, act local”, and is passionate about making a tangible impact through volunteering.

Utsavi is the Head of R&D for AI Applications within SAP's Customer Experience division. In this role, she spearheads the product strategy and development of SAP's CX AI Toolkit product. Utsavi is driven by a mission to revolutionize how businesses harness the potential of next-generation technologies and AI/ML capabilities.

With a versatile background spanning both startups and large enterprises like Salesforce, Utsavi brings a wealth of experience to her leadership especially in the areas of AI, Search, and Big Data solutions. Utsavi's true passion lies in crafting high-performing organizations and cultivating a culture that encourages individuals to embrace their authentic selves

Gayatri Gopalakrishnan is a Senior Director of Engineering, responsible for generative AI applications at SAP SuccessFactors. She brings with her over 15 years of engineering and technology experience to build products to empower organizations to attract, develop, and retain top talent while driving business growth and achieving strategic objectives. Gayatri is a people leader, passionate about fostering a collaborative and inclusive work environment.

Sally has been driving innovation and championing human-centered design with world-leading companies for more than 20 years. She is the Sr. Director of Innovation and Customer Experience at SAP AppHaus. The AppHaus team is responsible for delivering amazing and unforgettable customer experiences. Sally focuses on leading and teaching teams to create delightful, usable, and useful software for business users. Sally was core contributor to the establishment of the Design at Business Association and was recently elected to their Board of Directors. She is also a co-lead for the SAP Business Women's Network (BWN) Palo Alto group. Sally is passionate about human-centered design, crafting delightful customer experiences, and leveraging technology and data to drive innovation. As a mom of two girls, Sally enjoys introducing young girls to STEM and Women in Tech.

Shubhi Asthana is a Sr Research Software Engineer who build AI & ML Solutions. She is SME in AI and ML models for Financial Services, along with leading the PII effort in Unstructured Data & NLP. Her research and development work spans the areas of Data Analytics, NLP and Cloud Services.

Joyce Zheng is a Data Scientist on the SuccessFactors Data Science Team based out of Palo Alto. She received her bachelor’s degree in data science from UC Berkeley. She is interested in machine learning, generative AI, and natural language processing.

Farwah is a Senior Data Scientist, specializing in the procurement area. She has been working closely with projects related to Supplier Risk and sourcing. She has been working for SAP for more than 5 years and has a master's degree in data science and business Analytics from University of North Carolina with an undergrad in Banking and Finance from Cass Business School in London.

Shruti Bhargava is a Data Scientist at SAP Ariba, part of the Ariba Data Science team in Palo Alto. She graduated from Stanford University with a Masters in Computational and Mathematical Engineering - specializing in Data Science. She obtained her undergraduate degree in Computer Science and Engineering. At SAP, she works on applying machine learning and generative AI to enterprise use cases. Domains which interest her include Natural Language Processing and Biomedical Informatics.

I am a Staff Data Scientist at Intuit. I have lived in 10 different cities and 4 different countries. I love exploring new ideas and places. I briefly dabbled with photography and improv theatre. Currently looking for a hobby, suggestions welcome! :)

Manasi Joglekar is a Full Stack Developer based out of Palo Alto working on CX AI Toolkit. She is passionate about empowering enterprise users with Generative AI grounded with SAP data. Manasi has a bachelor’s degree in computer science and a concentration in machine learning from Carnegie Mellon University.

Dynamic professional with a robust background in data science. Specialized in predictive modeling, NLP and deep learning complemented by strong communication skills, proven track record in business development and project management. Committed to excellence and continuous learning in data science and business. Holds a Bachelor's and Master's degree in STEM with research experience in statistical analysis/modeling

Eulalie is a product manager at SAP Concur Travel, focusing on AI and Extensibility. She joined SAP Concur Travel in 2022 and has extensive experience in the Travel industry from a consumer point of view.

Einat Orr has 20+ years of experience building R&D organizations and leading the technology vision at multiple companies, the latest being Similarweb, that IPO in NYSE last May. Currently she is the co-creator of open source lakeFS, and serves as Co-founder and CEO of Treeverse, the company behind the open source platform that delivers a git-like experience to object-storage based data lakes. She received her PhD. in Mathematics from Tel Aviv University, in the field of optimization in graph theory.

Emily Maxie is a distinguished leader and advocate in the tech industry. Known for her commitment to fostering diversity and inclusion within tech spaces, Emily has made significant strides in addressing gender equity in the companies she’s led and the communities she’s a part of. Emily has experience speaking at more than a dozen regional, national, and global tech conferences and has been featured on ABC News. 

I’m Deepti. I was born and raised in India, and moved to Seattle in 2018, where I enjoy the beautiful outdoors during nicer weather, and I love reading and playing board games in the gloomy winters. I am currently working as a Senior Product Manager for Data and Analytics at SAP Concur. My passion for continuous learning, data, product, and women empowerment has led me to be a part of this conference. Looking forward to connecting with you!

Priyanka Khaitan is responsible for overseeing the AI innovations across Intelligent Spend and Business Network, working across functions to drive transformative change. Priyanka has been with SAP for 20+ years and her inherent fascination with technology and a knack for problem-solving has led her to various leadership roles at SAP to drive the incubation and adoption of emerging technologies and solutions with untapped potential. She has pioneered innovations in many areas including S/4HANA, Digital Supply Chain, and Business Network. She holds a Bachelor’s degree in Computer Science & Math from Coe College, Iowa.

Passionate data scientist/software engineer with a knack for turning complex problems into simple, impactful solutions. Deeply committed to leveraging the transformative power of data science and machine learning to redefine the software development landscape. Fuelled by an insatiable curiosity, my work focuses on quality assurance, and I have worked on several projects that aimed to transform how developers approach bug resolution. I find this field particularly fascinating which is why I chose to focus on developing advanced LLM based services to improve developer's efficiency thereby streamlining the bug fixing process with machine learning tools. My aspirations go beyond just technical accomplishments; I'm eager to share my insights, learn from peers, and participate in rich discussions that challenge the limits of what can be achieved in software engineering and data science.

JJ Waldher is Sr. Data Product Manager on the Concur Platform Data & Analytics team and chair of the SAP Business Women’s Network Pacific Northwest Chapter. In her role, Waldher leads the development and management of data analytics products, from market research to product launch, collaborates with cross-functional teams, defines product requirements, and monitors performance metrics for continuous improvement. Waldher joined SAP nearly 8 years ago and has assumed roles focused on Product Management, Global Cloud Services, Multi-cloud Data Development Operations, and Women’s Leadership. Throughout her tenure, she has consistently championed initiatives targeting enhanced workplace efficiency, inventive problem-solving for complex cloud challenges, and ongoing educational pursuits to nurture personal and professional advancement. Driven by an unyielding commitment to excellence, Waldher persistently endeavors to ignite progress and drive transformative change. Waldher has a bachelor’s degree from City University of Seattle and a master’s in business administration focused on technology management

With over 15 years of experience in software design and development, machinelearning systems, and data science, Puntis Palazzolo is a senior AI strategist at SAP SuccessFactors, the leading cloud-based human capital management software provider. She also serves as an ITI board member, representing SAP at the AI Futures Initiative, a global advocacy organization that influences policy issues to encourage innovation and promote global competitiveness in the information and communications technology (ICT) industry. Puntis leads the AI ethics efforts at SAP SuccessFactors and collaborates with the core SAP AI ethics team to establish ethical guidelines and frameworks for the development, deployment, and use of AI systems. She helps with the assessment of the potential ethical risks and social impact of AI systems, such as biases, discrimination, privacy concerns, security risks, and other potential harms. She also helps define and implement procedures to ensure compliance with ethical standards and legal requirements at SAP SuccessFactors. Additionally, she identifies AI and data product opportunities and requirements for various market segments and develops strategies that will drive value at-scale. Puntis is passionate about empowering and educating employees and customers on AI and its ethical implications, and fostering a culture of trust, transparency, and accountability. She is currently pursuing her PhD in AI ethics at the University of Nottingham, where she conducts research on the ethical, legal, and social aspects of responsible AI applications.