Women in Data®

Do it scared! Navigating life with anxiety is challenging—but networking with anxiety? Phew! 😮💨 Yesterday, I attended the Women in Data® 10 year birthday bash x Expedia Group. It was an incredible experience meeting like-minded individuals and connecting with some truly inspiring women in data. This event was a significant milestone for me, and I’d like to give a special thank you to Livi Arnold, Nicole Otieno & Henrietta Sauleek whose kindness and support made the experience so much easier. The WiD team does an amazing job of creating a safe space for women like me to feel empowered. The panel was nothing short of inspirational. Hearing their journeys and insights gave me a glimpse of where I see myself in the future. It’s comforting and motivating having such incredible role models to look up to. Ayo Taiwo, Ella Ovenden, Katherine Church & Bhagya Reddy It was a pleasure meeting everyone at the event! I can’t wait to continue building these connections and growing in this community. For those who struggle with social anxiety: we’re not stuck-up, rude, or uninterested. We want to be part of these conversations, and we’re capable of doing incredible work—we just need a little extra courage to show up. Watch this space!😉 #WomenInData #WomenInTech #Apprenticeship #AnxietyAwareness

✨ What an incredible event at JMAN Group’s London office today, celebrating the 10-year anniversary of Women in Data® with our hybrid gathering: “From Analyst to Leader, Your Passport for Success.” ✨ Here’s a glimpse of what made the event so special: 💡 Insightful Discussions: Our fantastic panelists, Heather Zuleba, Natalie Cramp, and Toni Mitchell, shared their inspiring journeys from data and technical roles to management and leadership positions. The conversation was both enriching and motivating. Key Takeaways: From overcoming challenges to embracing new skills and mindset shifts, our panelists offered invaluable advice to help others advance their data careers. 🙏 A huge thank you to Sophie Rivaz, Imogen Jenner, and Yuganthi Subramani for organizing the event, and to Yun Ma for moderating the session as well as our amazing panelists and everyone who attended. #WomenInData #WomenInAI #WiDWeek #JMANGroup

It was a pleasure to attend the Acxiom UK offices yesterday with Claudia Noto and Tom Dales as part of the Women in Data®10th birthday celebrations! The panel discussion was angled around “𝘏𝘰𝘸 𝘌𝘲𝘶𝘪𝘵𝘺 𝘪𝘴 𝘵𝘩𝘦 𝘒𝘦𝘺 𝘵𝘰 𝘜𝘯𝘭𝘰𝘤𝘬𝘪𝘯𝘨 𝘈𝘐’𝘴 𝘗𝘳𝘰𝘮𝘪𝘴𝘦 𝘢𝘯𝘥 𝘋𝘢𝘵𝘢’𝘴 𝘗𝘰𝘸𝘦𝘳” which highlighted some thought-provoking themes around diversity, allyship and bias. 𝗧𝗵𝗲 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: •𝗗𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗶𝘀 𝗸𝗲𝘆: Bad data in, bad data out – LLMs are only as good as their data input. If the data is already biased, this will amplify inequalities and isn’t reflective of wider society. •𝗗𝗶𝘃𝗲𝗿𝘀𝗲 𝘁𝗲𝗮𝗺𝘀 𝗺𝗶𝘁𝗶𝗴𝗮𝘁𝗲 𝗯𝗶𝗮𝘀 – by having diverse people in the room, they are able to question what is assumed to be fact and consider perspectives that non-minority groups may have never had to, appealing to wider audiences. •𝗔𝗻 𝗼𝘃𝗲𝗿-𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗲𝗲𝗱𝗲𝗱 𝗮𝘁 𝘁𝗶𝗺𝗲𝘀 – due to the longstanding disparity between men and women in the industry, there is a need to propel women forward in order to reach an equitable point. •𝗜𝘁’𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝘁𝗼 𝗰𝗿𝗲𝗮𝘁𝗲 𝘀𝗽𝗮𝗰𝗲 𝗳𝗼𝗿 𝗱𝗶𝘃𝗲𝗿𝘀𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 – It's not enough to simply hire more women and minority groups if the working environment is not supportive and inclusive. •𝗔𝗹𝗹𝘆𝘀𝗵𝗶𝗽 𝗶𝘀 𝗴𝗼𝗹𝗱𝗲𝗻 – Male allies are key in advancing the workplace culture around gender diversity. Modelling inclusive behaviour and using your influence to elevate the experience of underrepresented colleagues makes a huge difference. •“𝗟𝗶𝗳𝘁 𝗮𝘀 𝘆𝗼𝘂 𝗰𝗹𝗶𝗺𝗯” - as women are moving up the ladder and making strides in male-dominated fields, we can make the journey easier for the women around us by uplifting them and making room for their voices. At FDM, diversity is in the fabric of what we do. From collaborating with schools to educate younger generations on careers in tech, all the way up to our Returners programme which is focussed on reintegrating those who may have had a career break back into the workforce; we’re proud to actively support women throughout all stages of their career journey. Thank you to the panellists Lisa Andreou Eisha Bhargava Kara Osborne Gladwell Cali Wood Fiona Sweeney for such an insightful evening!

Happy 10th Birthday Women in Data®! 🥳 🎂 We had fun celebrating the amazing work Asda do with Women in Data® & Girls in Data this week 💗 It was a pleasure to have Zoe Weetman from Databricks to celebrate with us, which is why I love being part of Women in Data® as you are able to learn & network with other like minded data colleagues 😍 We are excited for Women in Data® Lunch & Learn tomorrow about:- Asda increasing Value of Data through Major Transformation, presented by Miriam Cunliffe & Sharon Nodder. To register for this Lunch & Learn visit: https://lnkd.in/eubaj3qe We look to forward to seeing Women in Data® team on 27th March 2025 for the Flagship event! Miriam Cunliffe Sharon Nodder Alex Meakin Sophie Pinder Pearl D'Souza Suzanne Ross Zoe Weetman Women in Data® Girls in Data

I recently attended the 10th anniversary celebration of Women in Data® at our office, and I can honestly say it was one of the most inspiring events I’ve been part of. Being in a room filled with accomplished, driven women from across the data and tech world was an empowering experience. I got to hear incredible stories from Elizabeth Harris , Rachel Purchase and Leanne Smith about their career journeys—each one a reminder that growth often comes from navigating challenges and embracing the unexpected. Some thoughts that have stayed with me: 💁🏻♀️💡 Your career doesn’t have to follow a straight path. Growth often comes in ways you don’t expect. 💁🏻♀️💡 We all have a role to play in shaping the future of data. Whether you’re solving complex problems, mentoring others, or building tools that make a difference, every contribution matters. 💁🏻♀️💡 Connections are everything. There’s something so powerful about being part of a network that supports and uplifts each other. I left feeling so grateful to be surrounded by a community that values innovation and inclusion. Here’s to more moments like this and to lifting each other up as we grow! ❤️ It was great to have met and connected with incredible people like Hannah Davies, Rachel Purchase, Elizabeth Harris, Leanne Smith , Debbie Downton, Dafydd Marsh, Andrew Skye, Ajose Victoria, Anisa Aubin, @laurengames, @keziaanne, Abigail Barker, Funke Babatunde, Kumari Harshita, Wendy Shen Charlotte Side Charlotte Hadley and so many lovely people.

Wow wow wow! What a week and 10th Birthday celebration with all our #amazing and #talented Women in Data® . Thank you to Hannah Awonuga for travelling to #India to take the stage with me. You truly amplified our #DE&I journey. Thank you to our colleagues from Berkadia Services India Private Limited for travelling from #Hyderabad. Thanks to all the advocates, particularly Simon Hayter for his support. Capgemini for hosting our India 🇮🇳 Chapter. It was great to meet with friends from M&G Global Services Private Limited again. The wonderful Knight Frank Data team, you were #Phenominal I know our Girls in Data journey took a huge step forward thanks 🙏 to you! Virginia Dsouza ! Shishir Baijal Nisheeth Upadhyaya Piyali Dasgupta, SCMP® Mona Bhagat Niharika Goswami and team Knight Frank

🥂 Went to the great Women in Data® event with Boots UK at University of Nottingham to celebrate their 10th birthday yesterday 🥂 What an event! I met some fabulously interesting people and there were lots of insightful speakers. As per most events I've been to this year there has been a lot of discussion of AI. Largely (possibly surprisingly to some) it is boiling down to that we need good data quality and governance. Is anyone shocked women are leading the way in AI ethics? Lexy Kassan: Data is biased. Period. Elise Walker & Paula Bobbett shared their insights as senior leaders in data & tech at Boots. We heard about how matching retail and health data can support using data for good with clinical trials on women's health with Emma Eatch & others. Maybe we can reduce the average diagnosis time for endometriosis down from *8 years*. Plus a great conversation with Elizabeth Dolan on her PhD in this area and explainability of machine learning models. No7 Beauty Company shared part of their research and that my skin is currently only 1/5 for hydration. There was a plug for University of Nottingham's apprenticeship scheme for Data Science. One of the best talks came from Sophie Clapp, the Company Archivist at Boots! Florence Boot was a force to be reckoned with over 100 years ago and a strong woman in business. Thanks to the organisers and Women in Data® for the wonderful work they do and knowledge shared for free! #womenindata #noautomationwithoutrepresentation #thefutureisfemale

🌟 Reflections from the Women in Data UK Event: Insights for Data and Business Leaders 🌟 Earlier this week, I had the privilege of attending an event hosted by Women in Data® and their brand partner, Acxiom. Kara Osborne Gladwell , Lisa Andreou, Eisha Bhargava and Cali Wood shared invaluable lessons at the intersection of data, AI, and business strategy. These insights are vital for both data professionals and business leaders aiming to drive impactful, ethical, and inclusive innovation: 📊 Ethics, Privacy & Data Quality: • The success of AI depends on data quality, accessibility, and ethical governance. Poor data doesn’t just limit insights—it can perpetuate societal biases and erode trust in technology. • Companies like AXA stressed aligning AI with strategic business goals, developing clear use cases, and working closely with stakeholders to address their needs. 🤖 AI, Human Ingenuity & Diversity: • The real power lies in the combination of human ingenuity and AI. As we democratize data, we must address biases and build solutions with diverse teams to deliver better outcomes. • A great example? When Alexa’s early development team lacked diversity, the product struggled to understand women, children, and the elderly. Inclusive teams create stronger products and results. 📣 Leadership, Inclusion & Allyship: • Diversity and allyship were key themes. Strong allies—especially in leadership—don’t just support talent but actively advocate and challenge them to grow. • Leaders must embrace the principle of “lift as you climb,” championing others while driving their own success. 🧠 Skills for a Changing Landscape: • As AI evolves, the focus is shifting from technical skills alone to creativity, collaboration, and storytelling with data. These are the skills that unlock business impact. • Pro tip: Tailor your communication to emphasize these strengths, and learn from those who excel at influence and strategic thinking in your organization. The future of data and business innovation is built on ethical practices, diverse perspectives, and human-AI collaboration. #WomenInData #DataEthics #AI #Leadership #DiversityInTech #Innovation #DataStrategy #Allyship #BusinessLeadership