The 10 Most Experts Women Leaders in Data & AI Creating Global Impact, 2025

Vol 07 | Issue 01 | 2025 The 10 Most Experts Women Leaders in Data & AI Creating Global Impact, 2025 Charting New Territories Breaking Barriers & Shaping the Future Niamh Parker Co- Founder EmergeGen Neeve Neeve Parker Parker Driving Ethical Innovation in AI through Empathy, Accountability, and Purpose www.ciobusinessworld.com

From the Editor’s desk The Confident Rise of Supply Chain Leaders I n today’s volatile, interconnected global economy, supply chain leaders have emerged not just as operational managers but as strategic architects shaping the resilience and agility of modern businesses. As organizations face ongoing disruptions—from geopolitical tensions and climate challenges to evolving consumer demands—supply chain executives have not only adapted, but led the charge in redefining how companies respond and thrive. influence—and deservedly so. They are not only keeping goods moving and services delivered; they are enabling digital transformation, driving revenue, and protecting brand integrity. Moreover, the modern supply chain leader thrives in complexity. They know that adaptability is the new efficiency, and resilience the new benchmark of performance. Whether dealing with semiconductor shortages, port backlogs, or shifting regulatory environments, they meet challenges with structured agility, often turning crises into catalysts for long-term innovation. At CIO Business World, we are proud to spotlight the growing confidence and influence of these leaders. They represent a breed of professionals who understand that the supply chain is no longer a backend function, but a central pillar of business strategy, competitive advantage, and customer satisfaction. It’s also worth noting that their leadership style is evolving. More collaborative, cross-functional, and people-oriented, today’s supply chain professionals recognize that it’s not just about systems and processes—it’s about talent, partnerships, and purpose. They are building more inclusive teams, nurturing supplier relationships, and aligning operations with the broader values of their organizations. Recent developments across industries show that supply chain leaders are embracing advanced technologies, real-time analytics, and collaborative ecosystems to stay ahead of the curve. From predictive forecasting to integrated supplier networks, they are investing in innovations that improve visibility, mitigate risks, and drive sustainable practices. These strategic decisions, supported by data and aligned with corporate goals, reflect a maturity that speaks volumes about their foresight and operational command. At CIO Business World, we celebrate this moment of transition and triumph. Supply chain leaders are no longer the unsung heroes—they are vocal, visionary, and fully integrated into the strategic fabric of the enterprise. Their satisfaction isn’t just personal—it’s professional, operational, and organizational. And as we look toward the future, their role will only continue to grow in influence and impact. What’s particularly commendable is the satisfaction these leaders express in their evolving roles. Gone are the days when supply chain decisions were made in isolation. Today, they sit at the table with CIOs, CFOs, and CEOs, offering insights that impact everything from inventory and logistics to customer experience and ESG compliance. Their satisfaction stems from This issue is a tribute to their leadership, resilience, and satisfaction in shaping the businesses of tomorrow. We are proud to bring their stories, strategies, and successes to the forefront.

C X O C o v e r S t o r y 16 24 THE SIGNIFICANT TRAITS OF INSPIRING BUSINESS LEADERS Building Awareness the Implica?ons of AI Usage in Organiza?ons 30 Emerging Technologies and the Future of Inluencer Marke?ng in a Dynamic Business Environment 34 40 AI Innova?on & Governance: Naviga?ng the Crossroads of Technology, Security, and Trust People Before Process. Service Before Systems. 46 Embedded For Impact: How PhiThea is Redefining Leadership in the Age of Digital Disrup?on A r t i c l e s 28 22 Neeve Parker Driving Ethical Innovation in AI through Empathy, Accountability, and Purpose Leading with Heart: Women Shaping the Future of Data & AI 10 Breaking Barriers and Shaping the Future 44 38 Women at the Helm: Redefining Success in Data & AI Char?ng New Territories

June, 2025

COVER STORY Neeve Parker Driving Ethical Innovation in AI through Empathy, Accountability, and Purpose Continuous learning is foundational to everything we do. At EmergeGen, we actively invest in R&D and encourage everyone to spend time exploring, questioning, and experimenting.” Niamh Parker Co- Founder EmergeGen www.ciobusinessworld.com www.ciobusinessworld.com 10 | July 11 | July

COVER STORY I n a rapidly shifting technological world dominated by buzzwords and breakneck innovation, it is rare to find a leader who not only understands the complexity of data and artificial intelligence but also carries the emotional intelligence and clarity to infuse humanity into it. Neeve Parker, Co-Founder and Head of Legal & People at EmergeGen, is one such trailblazer—a powerhouse of integrity and vision, whose journey from compliance expert to AI innovator is redefining what leadership means in the tech space. This shift wasn’t driven by tech fascination. It was driven by necessity. She wasn’t chasing the next shiny innovation; she was searching for a better way—one that empowered people, made compliance more intuitive, and simplified complexity without compromising integrity. It was this very pragmatism that shaped the DNA of EmergeGen. A company not built to dazzle for the sake of it, but to serve those struggling with real problems in data- heavy environments. From the outset, Neeve’s focus was clear: build tools that instill confidence, elevate decision- making, and return control to those who need it most. What sets Neeve apart is not just her sharp acumen or strategic foresight, but her unwavering commitment to building systems that are not only smart but also safe, inclusive, and ethical. With a career rooted in legal and compliance domains, she has transformed her frustration with outdated tools into a mission that fuses technology with transparency, governance, and human dignity. Navigating a male-dominated tech ecosystem came with its own set of challenges. Early on, Neeve often found herself as the only woman in the room—her non-technical background used as a proxy to question her credibility. But instead of retreating, she leaned in. She stopped trying to blend in and started building with conviction. And in doing so, she not only earned respect—she redefined what expertise could look like. Her story is a masterclass in courageous leadership—proof that it doesn’t take a computer or data science degree to lead in AI. It takes vision, resilience, and the ability to see problems where others see status quo. Transformative Milestones: Courage, Vulnerability, and Collective Genius From Legal Trenches to AI Frontlines: A Journey Fueled by Frustration and Purpose Neeve’s leadership evolution has been shaped by pivotal experiences—each one reinforcing the power of diverse thinking and shared purpose. Neeve’s path into the world of data and AI wasn’t conventional—and that’s precisely what makes it so powerful. Unlike many who began their journeys in computer labs, Neeve started hers in the complex corridors of legal and privacy operations. There, she observed a recurring dilemma: organizations were overloaded with data but severely deprived of usable insights. For years, she navigated highly regulated environments with scattered, inefficient tools, and that lived experience became the catalyst for her pivot into AI. One of the most transformative moments was assembling EmergeGen’s founding team. With professionals from Wall Street, law, AI, data science, and design coming together, Neeve witnessed firsthand how varied perspectives could fuel innovation at speed. It was a moment of revelation: true breakthroughs happen not in echo chambers, but in environments where difference is not only welcomed but celebrated. questions, to hold space for uncertainty, and to cultivate trust over authority. It’s an approach that empowers teams, fosters creativity, and, ultimately, drives better outcomes. maintain both agility and control. And most critically, the platform is designed to return control to the user. Modular, flexible, and deployable on- prem or in the cloud, it avoids the pitfalls of centralized data handling. By protecting privacy and respecting data sovereignty, EmergeGen reaffirms its commitment to security without sacrificing innovation. Building Trust through Design: The Architecture of Ethical AI At the heart of EmergeGen’s success lies its Ethical Data & AI framework—a model grounded in three foundational principles: transparency, traceability, and trust. For Neeve, ethics is not a checkbox. It’s the blueprint. From day one, the company has been built around the belief that trust is not earned with platitudes but with proof—embedded in every line of code and every product decision. Another landmark was the launch of Data Central—a workflow tool that turned abstract ideas into AI results. Data Central is now available on The Snowflake Marketplace. Watching it deliver tangible value to clients validated years of effort and experimentation. But even more importantly, it demonstrated that ethical design and high performance are not mutually exclusive. You can build fast and build right. Transparency begins with data lineage. EmergeGen ensures that clients can trace every piece of data—from its origin to its transformation—providing a clear map of how AI models engage with it. This visibility is not a luxury; it’s a compliance imperative in an era of increasing scrutiny. Our platform is modular, deployable on-prem or in the cloud, and doesn’t require sending sensitive data offsite. Staying Ahead of the Curve: Learning, Listening, and Leading with Relevance Innovation at EmergeGen is not about chasing trends—it’s about staying useful. And for Neeve, that starts with continuous learning combining market strategy and an innovative Intellectual property culture. Perhaps the most personal transformation for Neeve was learning to lead with vulnerability. In the early days, she believed leadership required certainty, answers, and unshakable resolve. But experience taught her otherwise. Today, she sees leadership as the ability to ask better Traceability is built into the system. Governance isn’t layered on after the fact—it’s woven directly into the AI architecture. Model outputs are explainable, biases are detectable, and decision-making processes remain accountable. This integration allows organizations to From policy papers to academic journals, from partner insights to client pain points—she draws from a wide www.ciobusinessworld.com www.ciobusinessworld.com 12 | July 13 | July

COVER STORY Changing the Narrative: Women in Tech and the Power of Representation ecosystem of knowledge. But what truly fuels the company’s R&D engine is curiosity. Team members are encouraged to explore, challenge, and reimagine. Time is carved out for experimentation, not just execution. financial sector marked a major milestone. By automating KYC processes, slashing onboarding time, and delivering a 25x return on investment, the project validated the company’s value proposition in one of the most complex, regulated industries. Automated knowledge graphs and cracking Agentic AI for workflows are just some of the trade secrets in EmergeGen. The tech industry has long been male-dominated, but AI presents a unique opportunity to reset the paradigm. For Neeve, the narrative is starting to shift—and she’s determined to accelerate it. Some of the company’s most significant innovations didn’t come from tech visionaries—they came from business users struggling with cumbersome audits, or regulators demanding more transparent models. EmergeGen thrives by listening deeply and solving pragmatically. AI, by its very nature, holds a mirror to the data it consumes. If that data is biased, the outcomes will be too. But if built intentionally—with diverse voices and inclusive frameworks—it can become a force for equity. Internally, the most rewarding achievement has been building a culture where people feel seen, supported, and inspired. Diversity isn’t a metric—it’s a mindset. Curiosity isn’t just encouraged—it’s institutionalized. And mission alignment isn’t lip service—it’s lived daily. Women bring unique strengths to AI: intuition, empathy, systems thinking, ethical sensitivity, and a collaborative mindset. Neeve believes these attributes are not just valuable—they’re essential. It’s this approach—grounded, responsive, and client-centric—that keeps the company ahead without losing focus. For Neeve, this isn’t just good leadership—it’s smart strategy. Happy teams build better products. And inclusive teams build more relevant ones. She envisions a future where women are not just present but powerful in AI—not only contributing to technical development but shaping policy, governance, and product direction. And she is deeply committed to building that future, one decision at a time. Shaping the Future: Policy, Regulation, and the Ethics-By- Design Imperative Ethics as a Product Feature: The New Standard for AI Looking ahead, Neeve sees the future of AI ethics not as optional guidance but as a required operating system. Regulators are moving from principle to enforcement. Buyers are demanding auditability and fairness. And ethical AI is no longer a differentiator—it’s a necessity. In an increasingly regulated landscape, EmergeGen isn’t waiting for mandates—it’s building in anticipation of them. From GDPR to the EU AI Act, the company has proactively aligned its framework with emerging global standards. Unlocking Opportunity: The Future Belongs to Multidisciplinary Thinkers In this landscape, EmergeGen is not just a tech provider—it’s a standard-setter. And Neeve’s role is central to that evolution. In the coming decade, Neeve sees the most significant opportunities for women emerging at the intersection of tech, regulation, and ethics. As the demand for responsible AI grows, so does the need for leaders who can speak both legalese and Python—who understand societal implications as deeply as system performance. She sees herself as both a builder and a translator—someone who can convert human values into technical specs and ensure that regulatory requirements become product realities. Her work ensures that ethics move out of boardroom declarations and into system design. The EmergeGen team has been actively engaged in public consultations on AI governance, particularly in the EU and UK. These interactions have underscored a powerful truth: future regulation will be anchored in transparency, explainability, and control. Product leadership is another high-leverage domain. It’s where vision becomes experience, and where user needs meet business strategy. More women need to be in those rooms, steering outcomes. Guiding the Next Generation: Purpose Over Prestige But unlocking these opportunities requires structural change. Organizations must move beyond mentorship and into sponsorship—beyond DEI reports and into resourced programs that close real gaps. Educational institutions must also evolve, blending data science with law, ethics, business, and communications. Because the future of AI will be led not just by coders—but by holistic thinkers. For aspiring leaders in data and AI, Neeve’s advice is both sobering and inspiring. Don’t get lost in titles. Don’t be intimidated by jargon. If you care about how data shapes lives and decisions, you belong here. These principles are not new to EmergeGen—they are foundational. Every model is designed to explain itself. And every decision loop retains space for human oversight and an audit trail. You don’t need to be the most technical person in the room to lead. What you need is clarity of purpose, empathy for users, and a commitment to doing the hard work that matters. EmergeGen Milestones: Proof of Vision, Power of Culture Neeve’s involvement in these regulatory dialogues has reinforced her belief that ethics cannot remain aspirational. They must be operational. Not ideas on paper—but features in the product. That’s the shift she is championing across the industry. Surround yourself with people who challenge you. Take feedback seriously, but not personally. Ask better questions. And most of all, stay grounded in why you started. Under Neeve’s leadership, EmergeGen has notched several accomplishments—but two stand out as particularly defining. Because AI isn’t just a technical field—it’s a human one. And the best leaders, like Neeve Parker, never forget that. Externally, the deployment of the platform at scale in the www.ciobusinessworld.com www.ciobusinessworld.com 14 | July 15 | July

www.ciobusinessworld.com www.ciobusinessworld.com 16 | July 17 | July

www.ciobusinessworld.com 18 | July

I The Roadblocks: Persistent Challenges Despite progress, significant challenges remain. Implicit bias, wage gaps, and underrepresentation in leadership roles continue to hinder equal participation. Women of color face compounded obstacles due to intersectional discrimination. Moreover, work-life balance and societal expectations still play a role in shaping career trajectories. However, these challenges are increasingly met with resilience. Women leaders are building communities, speaking at global forums, and mentoring the next generation to ensure their paths are more navigable. Empowerment Through Networks and Storytelling Communities like Women in AI, Women in Data Science (WiDS), and Black Women in AI provide platforms for knowledge sharing, mentorship, and empowerment. Storytelling plays a key role here. As more women share their journeys, it demystifies the path to leadership and inspires others to follow suit. Documentaries, podcasts, and books have begun chronicling these stories, turning individual experiences into collective momentum. Shaping a More Inclusive Future The presence of women in AI leadership is already reshaping how the technology itself evolves. Female leaders often bring diverse perspectives to the table, emphasizing ethical frameworks, human-centered design, and socially responsible innovation. These qualities are crucial in addressing some of AI’s most pressing challenges, including algorithmic bias, data privacy, and equitable access. Additionally, diverse leadership tends to foster inclusive teams. Studies show that diverse teams are more creative, make better decisions, and drive stronger business outcomes. As such, empowering women in AI isn't just a matter of fairness—it's a strategic imperative. A Future Unfolding The future of data and AI is being actively shaped by the women who dare to lead, question, and innovate. Their stories reflect not just how far the field has come, but how much further it can go with inclusive leadership. As more pathways open and barriers fall, a more balanced and equitable tech industry is emerging. In the grand arc of technological history, the rise of women leaders in data and AI marks a pivotal chapter—one where intelligence is augmented not just by machines, but by the diverse minds that design them. n recent decades, data and artificial intelligence (AI) have transformed nearly every industry, from healthcare and finance to marketing and manufacturing. As these fields continue to grow in complexity and impact, the presence of women leaders has become not only more visible but also more vital. While traditionally underrepresented in tech, women are now emerging as trailblazers in data science, machine learning, and AI strategy. Their journeys are not just narratives of personal success, but symbols of systemic evolution and the ongoing push toward diversity, equity, and inclusion. The Historical Context: A Landscape Once Limited For much of the 20th century, computing and mathematics were largely male-dominated fields. Women like Ada Lovelace and Grace Hopper were pioneers, but their contributions were often sidelined or underappreciated. The rise of modern AI in the 21st century offered a new frontier, but initial participation remained low for women due to entrenched gender biases, lack of role models, and limited access to STEM education. The Shift: Opportunity and Recognition Over time, concerted efforts to bridge gender gaps began to bear fruit. Organizations, academic institutions, and governments launched initiatives aimed at encouraging women to enter and excel in data and AI. Scholarships, mentorship programs, and industry recognition platforms emerged, creating ecosystems that nurtured female talent. Today, women like Fei-Fei Li (Stanford professor and co- director of the Stanford Human-Centered AI Institute), Rana el Kaliouby (co-founder of Affectiva), and Kate Crawford (AI researcher and author) are at the forefront of AI research and policy. They are redefining what leadership in AI looks like, focusing on ethics, inclusivity, and real-world impact. Leadership Across Sectors Female leaders in data and AI span a variety of sectors: • Academia: Women are leading AI research groups, publishing groundbreaking papers, and shaping curriculum. • Corporate: Many are driving innovation in companies like Google, Microsoft, and IBM, often holding C-suite positions. • Startups: Female entrepreneurs are launching AI startups with applications in healthcare, climate science, and education. • Policy and Ethics: Women are also at the helm of ethical discussions around AI, advocating for responsible AI development. Breaking Barriers and Shaping the Future www.ciobusinessworld.com www.ciobusinessworld.com 22 | Ju ly 23 | July

I Five Key Actions for Purpose-Driven Supply Chains n today’s fragmented and unpredictable world, supply chain leaders face challenges that go far beyond cost and efficiency. The rise of purpose-driven supply chain leadership is revolutionizing how organizations create value, build trust, and foster resilience. This new approach isn’t just about profitability, it’s about aligning operations with societal, environmental, and ethical goals, and inspiring teams to work with their whole heart. When you lead with purpose, you set yourself and your organization on a path where you will succeed, no matter how complex the landscape. To ensure your supply chain is purpose-driven and set for success, focus on these five actions: • Show Executive Commitment: Integrate purpose into strategy, decision-making, and metrics. Authentic, visible leadership builds trust and credibility. • Engage in Portfolio Management: Be proactive in product development, ensuring promises like sustainability are delivered and traceable. • Align the Partner Ecosystem: Work with partners who share your purpose, amplifying innovation and value across the network. • Foster Employee Engagement: Empower your team with open communication, autonomy, and opportunities for input creating a culture where everyone can succeed. • Be Accountable: Balance profitability with stakeholder interests, using metrics that reflect your commitment to purpose and long-term success. Charting New Territories Why Purpose-Driven Leadership Ensures Success Purpose-driven leadership is about helping employees find personal meaning in their work and building a value- aligned, deeply committed workforce. Leaders who communicate a clear vision and connect daily tasks to a greater mission drive higher engagement, innovation, and resilience. When your team understands why their work matters, motivation and perseverance follow key ingredients for overcoming obstacles and achieving lasting success. Driving Resilience and Innovation: Your Competitive Advantage Purpose-driven supply chain leadership is a proven catalyst for resilience and innovation. When your team is united by a shared mission, they become more agile, creative, and determined in the face of disruption. Research shows a 26% increase in workforce health and a 50% boost in employee engagement when organizations act on social issues and make work personally meaningful. In supply chains, this purpose-centric approach is especially powerful. According to Gartner, 85% of supply chain leaders believe that the top priority for enterprise purposes is to connect the customer through product offerings while delivering positive societal and environmental impact surpassing even investor returns. When you align your goals and values, you not only improve performance but also create a culture where everyone is set up to succeed. A purpose-driven approach also fuels innovation. Employees who see their work as meaningful are more likely to think creatively, take responsible risks, and collaborate across boundaries. In a world where supply chains must constantly adapt, this mindset ensures you will succeed no matter the challenge. Building Value-Aligned Ecosystems for Collective Success A fragmented world marked by geopolitical shifts, climate disruptions, and evolving consumer demands requires collaboration across the entire value chain. Purpose-driven supply chain leaders are moving beyond traditional, transactional relationships to build value-aligned ecosystems. In these networks, all participants are partners, sharing capabilities and vision for mutual benefit. Conclusion: Purpose is Your North Star to Success In a fragmented world, purpose-driven supply chain leadership isn’t just a strategy, it’s your North Star. By grounding decisions and relationships in authentic purpose, you unite stakeholders, navigate uncertainty, and create sustainable value for business and society. The result? A supply chain that is more resilient, innovative, and fulfilling for everyone involved. Gartner predicts that such ecosystems will be the competitive edge of the future. Innovation and shared purpose will drive partnerships, ensuring that your organization can adapt and thrive. Leading companies are already expanding their ecosystems, leveraging collaboration to solve complex challenges and deliver on their missions. When you foster these alliances, you multiply your chances for success. As you look to the future, remember when you lead with purpose, you will succeed. Purpose-driven organizations turn fragmentation into opportunity, building a legacy of trust, impact, and enduring achievement. Let purpose guide your journey and watch as success follows. www.ciobusinessworld.com www.ciobusinessworld.com 28 | Ju ly 29 | July

www.ciobusinessworld.com www.ciobusinessworld.com 30 | Ju ly 31 | July

www.ciobusinessworld.com 32 | Ju ly

women hold just 26% of AI-related jobs and only about 12% of executive positions in STEM fields globally. While the gender gap persists, the momentum is shifting. Female participation in AI has increased by 5% over the past decade, and the number of women in AI leadership roles has grown by 12% in the last five years. These numbers reflect the tenacity and determination of women who are entering, staying, and thriving in the field. authenticity, inspiring those around them to strive for excellence. Leading with Heart: Women Shaping the Future of Data & AI Closing the Gap: Momentum and Hope The gender gap in AI is closing faster than ever. Deloitte predicts that women’s use of generative AI will equal or exceed that of men by the end of 2025 in the US, and within two years in Europe. This rapid adoption is driven by women’s willingness to experiment, learn, and adopt qualities that are essential in a field defined by constant change. The journey is not without hurdles. Women entrepreneurs in AI often face challenges in securing funding, with only a small fraction of venture capital directed toward female-led startups. There are also trust gaps women express less confidence in the security of AI technologies and are more cautious in adopting new tools, often due to concerns about bias and data privacy. Yet, these very challenges have inspired women leaders to work with their whole heart, advocating for more ethical, inclusive, and trustworthy AI systems. Initiatives to support women in AI such as mentorship programs, scholarships, and inclusive hiring practices—are making a tangible difference. The rise in women-led AI conferences, research collaborations, and startup ventures signals a new era of opportunity. As more women step into leadership roles, they are not only shaping the technology of tomorrow but also creating cultures where everyone can succeed. Leading with Empathy and Purpose The Heart of Leadership: Stories of Impact What sets women leaders in data and AI apart is their holistic approach. They bring empathy to the core of technological innovation, ensuring that AI systems are not just efficient, but also fair and accessible. Leaders like Fei- Fei Li, Mira Murati, and Timnit Gebru have become icons in the field, championing the responsible use of AI and tackling issues like algorithmic bias and diversity in data sets. Women leaders in data and AI are rewriting the narrative. They are not just coding algorithms they are building bridges between technology and humanity. Their stories are filled with moments of courage: speaking out against bias, championing diversity, and standing firm in their values even when faced with resistance. Their wholehearted approach is evident in the way they mentor others, advocate for ethical standards, and design AI systems that reflect a wide range of human experiences. By leading with empathy, integrity, and vision, women in data and AI are proving that success is not just about technical skill, but about the heart and soul behind the work. Women in AI often approach leadership as a mission to serve society. They are more likely to consider the long- term impact of technology on clients, communities, and brand integrity before making decisions. This thoughtful, heart-centered leadership style fosters environments where teams feel valued, heard, and empowered to innovate. In the rapidly evolving world of data science and artificial intelligence, women leaders are making their mark—not just with technical brilliance, but with a profound sense of purpose, empathy, and wholehearted commitment. Their journeys are often marked by resilience, creativity, and a passion for building technology that serves humanity. As the digital age accelerates, these women are not only closing the gender gap but are also redefining what it means to lead in data and AI. Conclusion: The Future is Heart-Led The Power of Wholehearted Work Women leaders in data and AI are paving the way for a more inclusive, ethical, and innovative future. Their ability to work with their whole heart, combining technical excellence with empathy and purpose is transforming the industry. As the gender gap narrows and more women rise to leadership, the field of data and AI will not only become more diverse, but also more human. Women leaders in data and AI are known for their dedication and perseverance. They invest in continuous learning, upskilling, and mentoring the next generation. According to recent surveys, women who engage with AI tools report higher productivity and more streamlined workflows evidence of their commitment to mastering new technologies and driving meaningful change. The world needs leaders who can harness the power of data and AI for good. Women, with their wholehearted dedication and vision, are showing us how it’s done and in doing so, they are inspiring a new generation to follow in their footsteps. Their work is often deeply personal. Many women in the field are motivated by a desire to solve real-world problems whether it’s developing AI for healthcare, creating inclusive digital platforms, or using data to address climate change. This sense of purpose infuses their work with energy and The Landscape: Progress and Persistent Gaps Despite significant advances, women remain underrepresented in data and AI roles. As of 2025, www.ciobusinessworld.com www.ciobusinessworld.com 38 | Ju ly 39 | July

www.ciobusinessworld.com www.ciobusinessworld.com 40 | Ju ly 41 | July

women are leading teams, heading research labs, and founding startups that are making waves globally. According to the World Economic Forum, the percentage of women in AI roles has grown to 26% in 2025, up from 22% just a few years ago. This steady rise is a testament to women’s resilience, adaptability, and relentless pursuit of knowledge. average, and women are increasingly represented in top AI conferences, research publications, and patent filings. These achievements are proof that when women are given opportunities, they not only succeed they excel. Women at the Helm: Stories that Inspire Redening Success in Data & AI The success stories of women in data and AI are as diverse as the field itself. From developing AI-powered healthcare solutions that save lives to designing algorithms that make financial systems more inclusive, women are leaving their mark across sectors. Their work is recognized not just in awards and accolades, but in the real-world impact they create. Their success is not accidental. Women in data and AI often chart unconventional paths, leveraging both technical skills and emotional intelligence. They excel at collaboration, problem-solving, and seeing the bigger picture qualities that are increasingly vital as AI systems become more complex and influential. One shining example is the rise of women in AI ethics, a field critical to the responsible use of technology. By advocating for transparency, accountability, and fairness, women leaders are ensuring that AI serves humanity, not just the bottom line. How Women Lead and Succeed Women leaders in data and AI are recognized for their ability to translate complex data into actionable insights that drive business transformation. They lead with a blend of analytical rigor and creative thinking, ensuring that AI solutions are not only technically sound but also practical and ethical. Empowering the Next Generation As the influence of data and AI continues to grow, the need for diverse leadership has never been greater. Women are stepping up to mentor, teach, and inspire the next generation of data scientists and AI professionals. Initiatives like Girls Who Code, Women in Data Science, and AI4ALL are empowering young women to pursue careers in technology, ensuring that the pipeline of talent remains strong. Take, for example, leaders like Dr. Latanya Sweeney, whose pioneering work in data privacy has influenced global policy, or Joy Buolamwini, whose research on algorithmic bias has prompted industry-wide reforms. Their achievements underscore the unique strengths women bring to the field: a commitment to fairness, a passion for problem-solving, and a drive to use technology for social good. The future is bright: with each success, women are proving that they belong at the forefront of data and AI. Their achievements are not just personal milestones, they are paving the way for a more inclusive, innovative, and successful industry. I Women also excel at building inclusive teams. Studies show that diverse teams are more innovative and produce better results. Women leaders actively mentor and uplift others, creating a culture where talent from all backgrounds can thrive. This collaborative spirit not only fuels innovation but also ensures lasting organizational success. n the digital revolution sweeping across industries, women are emerging as powerful leaders in data science and artificial intelligence (AI). Their stories are not just about breaking barriers, but about building new standards of excellence, integrity, and impact. As more women take the reins in data and AI, they are not only driving innovation but also reshaping what success looks like in this high-stakes arena. Success Redefined Women leaders in data and AI are redefining what it means to succeed. Their journeys are marked by hard work, vision, and a commitment to making a difference. By breaking barriers, building inclusive cultures, and delivering real- world impact, they are setting new standards for excellence in technology. Turning Obstacles into Opportunities Success in data and AI do not come without hurdles. Women often face biases, limited access to funding, and underrepresentation in leadership roles. Yet, these challenges have only strengthened their resolve. Many women have turned obstacles into opportunities by founding their own companies, launching advocacy groups, and championing diversity initiatives within their organizations. Breaking Through: The Rise of Women in Data & AI As more women rise to leadership, their collective success will continue to shape the future of data and AI proving that when women lead, everyone wins. The landscape of data and AI has long been dominated by men, but the tide is turning. Today, Their perseverance is evident in the numbers: women-led AI startups are growing at twice the rate of the industry www.ciobusinessworld.com www.ciobusinessworld.com 44 | Ju ly 45 | July

The 10 Most Experts Women Leaders in Data & AI Creating Global Impact, 2025

The 10 Most Experts Women Leaders in Data & AI Creating Global Impact, 2025

Presentation Transcript

CHÀO MỪNG CÁC EM HỌC SINH THAM GIA CHUYÊN ĐỀ TÌM HIỂU VỀ LỊCH SỬ THỂ DỤC THỂ THAO VIỆT NAM

KĨ NĂNG LỰA CHỌN VÀ VẼ BIỂU ĐỒ - Bđ cột chồng, tròn, miền có ưu thế trong việc thể hiện cơ cấu

3. Mô hình thực thể mối kết hợp

Bạn là cá thể duy nhất

Chương 5. Chủ nghĩa duy vật biện chứng – cơ sở lí luận của thế giới quan khoa học

Bí Tích Thánh Thể (The Sacrament of The Eucharist)

HCA 459 EXPERT Quest For Excellence/hca459expertdotcom

Tìm việc làm tại Thành phố Hồ Chí Minh nhanh và hiệu quả

QNT 561 Motivated Minds /newtonhelp.com

[PDF] Free Download The Cavendon Women (Cavendon Chronicles, Book 2) By Barbara Taylor Bradford

[PDF] Free Download Three Women By Lisa Taddeo

Agriculture Net Market to Witness Sales Slump in Near Term Due to COVID-19; Long-term Outlook Remains Positive

New FMI Report Explores Impact of COVID-19 Outbreak on Pest Control Services Motors Market

Bone Densitometer Devices Market Forecast Hit by Coronavirus Outbreak, Downside Risks Continue to Escalate

FMI Provides Data Virtualization Cloud Market Projections in its Revised Report, COVID-19 Pandemic Shaping Global Demand

The Best Kept Secrets About hot yoga pants for women

best yoga pants for women: What No One Is Talking About

Pivot Tables In Excel | Learn Pivot Table In Excel | Pivot Table Tutorial 2020 | Simplilearn

Horse Riding Equipment Market in Good Shape in 2020; COVID-19 to Affect Future Growth Trajectory

5 Real-Life Lessons About where to buy yoga pants for women deals

Data Center Power Management Market

What are Data Logger, its Type and Application?