Digital Transformation in Workplaces

The World Economic Forum, in partnership with LinkedIn, has just released a new whitepaper titled "Gender Parity in the Intelligent Age: 2025". This report highlights the critical role that gender parity plays in shaping the future of #work in an #AI-driven world. As we navigate the complexities of the Fourth Industrial Revolution, this research underscores the importance of closing the #gender gap in tech and leadership positions, ensuring that women are equally represented and empowered in shaping the future of innovation. Key takeaways include: * The urgent need to increase women's participation in tech and STEM fields. * Strategies to promote gender equality in digital #skills development. * How organizations can bridge the gender divide in leadership roles. We must act now to ensure that women are not left behind in the intelligent age. Great work by Silja Baller, Yanjun G. and Kim Piaget. Read the full report here: https://lnkd.in/etXCVvEN

As GenAI becomes more ubiquitous, research alarmingly shows that women are using these tools at lower rates than men across nearly all regions, sectors, and occupations.   A recent paper from researchers at Harvard Business School, Berkeley, and Stanford synthesizes data from 18 studies covering more than 140k individuals worldwide.   Their findings:   • Women are approximately 22% less likely than men to use GenAI tools • Even when controlling for occupation, age, field of study, and location, the gender gap remains • Web traffic analysis shows women represent only 42% of ChatGPT users and 31% of Claude users   Factors Contributing the to Gap:   - Lack of AI Literacy: Multiple studies showed women reporting significantly lower familiarity with and knowledge about generative AI tools as the largest gender gap driver. - Lack of Training & Confidence: Women have lower confidence in their ability to effectively use AI tools and more likely to report needing training before they can benefit from generative AI.   - Ethical Concerns & Fears of Judgement: Women are more likely to perceive AI usage as unethical or equivalent to cheating, particularly in educational or assignment contexts. They’re also more concerned about being judged unfairly for using these tools.   The Potential Impacts: - Widening Pay & Opportunity Gap: Considerably lower AI adoption by women creates further risk of them falling behind their male counterparts, ultimately widening the gender gap in pay and job opportunities. - Self-Reinforcing Bias: AI systems trained primarily on male-generated data may evolve to serve women's needs poorly, creating a feedback loop that widens existing gender disparities in technology development and adoption.   As educators and AI literacy advocates, we face an urgent responsibility to close this gap and simply improving access is not enough. We need targeted AI literacy training programs, organizations committed to developing more ethical GenAI, and safe and supportive communities like our Women in AI + Education to help bridge this expanding digital divide.   Link to the full study in the comments. And a link also to learn more or join our Women in AI + Education Community. AI for Education #Equity #GenAI #Ailiteracy #womeninAI

AI is the biggest opportunity of our time. And women are missing out. Only 33% of women are using generative AI, compared to 44% of men. But this isn’t about access - it’s about implementation. By 2030: ↳ 133 million new roles will be created ↳ $15.7 trillion will be added to the global economy ↳ 40% of workplace skills will need to change Still telling yourself you'll figure it out later? Later will be too late. This isn't just about productivity or profits. It's about power. If women aren't using AI, we're not shaping the future. This is our moment to make sure digital transformation doesn't deepen inequality. It should close the gap. This isn't about exclusion. It's about inclusion. A future where AI is built, led and implemented by everyone - not just a few. And the faster we close the gender gap, the stronger our businesses, industries, and economies will be. We all benefit from balanced innovation. But we all need to be onboard to make that happen. Inside Female Fusion, we're not just exploring AI - we're using it. Content creation, email automation, building custom GPTs, streamlining ops, training teams, driving better decisions - it's all happening. But whether you're inside our community or not, here's what you need to do right now: 5 steps to make AI work for your business (without overwhelm): 1/ Start with one high-impact use case ↳ Think content creation, lead gen, or customer support. 2/ Choose a tool and master it ↳ Don’t chase shiny objects - depth beats hype. 3/ Automate to buy back your time ↳ Ask: what can I replace so I can focus on what matters? 4/ Upskill your team ↳ A digitally fluent team is your biggest competitive edge. 5/ Don’t do it alone ↳ You’ll waste time guessing. Learn faster with others. That’s why we created our monthly AI masterclasses and tech tutorials inside Female Fusion. We don’t just talk about transformation - we deliver it. Together. Women shouldn't just be part of the AI economy. We should be leading it. 👇 What’s the one AI tool that’s made the biggest impact in your business? ➕ Follow me, Jen Blandos, for daily insights on AI, entrepreneurship and smarter business.

Here's how UPI turned 200 million Indian women into entrepreneurs when banks couldn't!  Before UPI, most women running small businesses worked in cash, with no bank trail, no credit access, and no real way to grow beyond their local circle. Fast forward to 2025, with 536 million women aged 15+ in India and 37% already using mobile internet, the potential market for internet-based UPI solutions is approximately 200 million women. In a country where 65% of women in the workforce are self-employed, digital financial inclusion creates tangible economic empowerment. But UPI is doing more than digitizing payments: ➡️ It builds financial history and business credibility ➡️ Unlocks access to loans, insurance & government schemes ➡️ Helps women manage and grow money independently We're already seeing this in action: — Women dairy farmers in Maharashtra now use UPI to sell directly to cooperatives. — Street vendors in Gujarat track daily income through digital payments. — Self-help groups in Bihar pool savings and access microloans through mobile wallets. Because for many women, the journey to digital confidence starts when someone they trust. These are some schemes that are helping women adopt UPI… 📍 UPI for Her – Tailored digital tools by NPCI & Women’s World Banking for women-led micro-businesses 📍UPSRLM (Uttar Pradesh State Rural Livelihood Mission) – Local women agents trained to onboard others with confidence 📍MAVIM(Mahila Arthik Vikas Mahamandal) – Helping rural women switch from cash to UPI and grow their ventures 📍WEP (Women Entrepreneurship Platform) – A national platform connecting women entrepreneurs with digital and financial support Digital payments give women more visibility. This visibility leads to more control over both their business and household money. How has digital banking changed your business?

Fintech for good: Enabling Digital Payments for Women in India 🇮🇳 through UPI When women gain access to #financialservices and opportunities, it creates a powerful #ripple effect that extends far beyond individual economic gains. Access leads to benefits to the individual, the household, the #community and eventually the nation. Benefits include improved household #welfare, increased participation of women in the formal economy, arms women with financial independence which they can use to lift their families out of poverty. There is sufficient evidence that #financial inclusion gives women more decision-making power within households and communities. It leads to better #education and #health outcomes Now, let's delve into the key takeaways from the attached report ‘UPI for Her’ which is a #collaborative initiative by the National Payments Corporation Of India (NPCI) and Women's World Banking that seeks to explore opportunities to increase the participation of women in the digital payments ecosystem – as a driver for financial inclusion and economic #prosperity. This is their first report of the initiative. 🇮🇳 Untapped potential: India has a vast untapped market of 200 million women ready to embrace #digitalpayments 🇮🇳 Persona-based approach: The report identifies two key personas among women: "Cautious Balancers" and "Fence Sitters," each requiring tailored strategies for #UPI adoption. 🇮🇳 UPI-PPI solution: Prepaid Payment Instruments (#PPIs) serve as a safe entry point for Cautious Balancers, providing a sense of control and security. 🇮🇳 UPI for Merchants: Women micro-entrepreneurs (Fence Sitters) are more likely to adopt UPI when shown tangible benefits for their businesses. 🇮🇳 #Phygital onboarding: In-person assistance combined with #digital tools is highly effective in onboarding women and building their confidence in using digital financial services. 🇮🇳 Community partnerships: Collaborating with local community networks and women's groups is crucial for reaching and engaging women effectively. 🇮🇳 Gender-intentional outreach: Tailoring marketing and outreach efforts specifically to women's needs and concerns is essential 🇮🇳 Continuous engagement: Providing ongoing support and gradually introducing more complex financial products is key to retaining women users. 🇮🇳 Transparent communication: Clear explanations of fees, features, and benefits are crucial for building trust among women users. 🇮🇳 Inclusive design: Gathering gender disaggregated #data and using it to inform product design and user experience can significantly improve adoption rates. 🇮🇳 Policy implications: The report suggests that #policymakers should require financial service providers to report payment data by gender and integrate this into financial inclusion indices. 🇮🇳 Ecosystem approach: Digitizing the entire value chain, including small traders and wholesalers, can accelerate UPI adoption among women micro-entrepreneurs.

#FinTech Women of #Bharat report provides strategic recommendations and #innovation prompts for #financialservice providers to develop tailored solutions for diverse segments such as homemakers, #farmers, textile workers, and teachers. For Rural Women: • Homemakers (140 Million):     ◦ Microsavings tools for household budgeting and long/short-term goals.     ◦ Flexible credit for emergencies, aligned with local store credit cycles.     ◦ Homepreneur starter micro-loans for training, tools, and setup. • Farmers and Agricultural Workers (60+ Million):     ◦ Digital wage access + daily wage saver accounts.     ◦ Alternative credit scoring for farmers without land titles.     ◦ Income protection coverage.     ◦ Agribusiness starter loans for training, tools, and setup. • Livestock Rearers (14 Million):     ◦ Digital earnings access + cattle registration.     ◦ Collective enterprise starter packs: group capital for equipment, storage, and market access. • Shop Owners, Assistants and Retail Workers (3.8 Million):     ◦ Women-focused bulk purchase platforms for better supplier access and pricing.     ◦ Microcredit for stock replenishment without disrupting cash flow.     ◦ Earnings digitization and recognition for informal family helpers. • Textile Workers (3.6 Million):     ◦ Cash flow-linked working capital.     ◦ Earnings digitization and recognition for informal family helpers. • Handicraft Artisans (1.7 Million):     ◦ Market-linkage financing for bulk orders, fairs, and exhibitions.     ◦ Tools to manage cash flows, marketing, and scaling.     ◦ Earnings digitization and recognition for informal family helpers. • Mining and Construction Workers (4 Million):     ◦ Digital wage access + daily wage saver accounts.     ◦ Flexible income protection for job loss, accidents, and health risks. • Tutors and School Teachers (3 Million):     ◦ Employer-linked savings and retirement plans.     ◦ Income booster packages for private tutors, including credit and prepaid learning plans. For Urban Women: • Shop Owners, Assistants, and Retail Workers (4 Million):     ◦ Women-focused bulk purchase platforms for better supplier access and pricing.     ◦ Microcredit for stock replenishment without disrupting cash flow.     ◦ Earnings digitization and recognition for informal family helpers. • Cooks and Cleaners (5.4 Million):     ◦ Income-linked credit based on work history and employer references.     ◦ Income protection coverage. • School Teachers (3.4 Million) ◦ Employer-linked bridge loans for salary or healthcare gaps.     ◦ Specialized credit for upskilling and certification. • Textile Workers (3 Million):     ◦ Flexible income protection for job loss, accidents, health risks.     ◦ Employer-linked bridge loans for salary or healthcare gaps. • Clerks (2 Million):     ◦ Micro-investment tools for small, automated savings.     ◦ Career progression #credit for certifications or role transitions.

As part of my ongoing Women in Leadership campaign, I want to talk about the pressing need to revive and elevate women’s leadership in an increasingly AI-driven workplace. The rapid advancement of AI presents both incredible opportunities and real risks, particularly when it comes to perpetuating gender biases if we’re not careful. We all know that the tech industry has been male-dominated for far too long, and that’s reflected in the AI systems being built today. If we don’t have diverse voices and perspectives at the leadership level, we risk allowing AI to reinforce outdated stereotypes and make existing inequalities worse. That’s why we must act now – women need to be involved not just in shaping these technologies but leading the charge. This is my call to action for women: Our time is now. AI isn’t just a technological leap; it’s a massive shift in how we work, live, and lead. The power of AI combined with the skills so many women naturally bring – communication, collaboration, and empathy – makes this the perfect moment for us to step up and take the lead. However, we can’t sit back and wait for change. We need to seize this moment, ensuring that women are not just participants but leaders in the AI-driven future. AI has the potential to transform industries, and I firmly believe women’s strengths can shape the way forward. For example, AI might be brilliant at processing data, but it’s the human touch – the empathy and communication – that will always be vital. And that’s where we shine. This is our opportunity to push for inclusive leadership and to make sure the digital future is built on diversity, not just as a box-ticking exercise but as a core value. The time to act is now, before the biases of the past become the algorithms of the future. Let’s work together to build a more equitable and inclusive landscape in AI and beyond. #WomenInLeadership #AIForWomen #InclusiveTech #OurTimeIsNow #LeadTheFuture

Guess what? Only 30% of AI professionals are women! According to the Global Gender Gap Report 2023, this imbalance fuels gender biases in AI, making it inherently sexist. Yes, you heard it right. The world has a gender equality problem, and so does Artificial Intelligence (AI). While we are making great strides in gender equity across various fields and more women are accessing the internet daily, the truth is that women still do not get to create much of this technology. Many women use AI, but few get to build it. Does that matter? The truth is, it does. It's like using a half-baked cake every day. A study by the Berkeley Haas Center for Equity, Gender, and Leadership analyzed 133 AI systems across different industries and found that about: 💻 44% showed gender bias 💻 25% exhibited both gender and racial bias This might not sound real, but it is. The systems that change our lives every day are still primarily based on the lives of men, not women. AI is mostly developed by men and trained on datasets that are primarily based on men, leading to responses that are not inclusive, inaccurate, and unrealistic for women. When technology is developed with just one perspective, it’s like looking at the world half-blind, and that can never ensure a gender-equitable world. The question now is, how can we ensure that technology is gender equitable? To prevent gender bias in AI, we must first address gender bias in our society: 📍Increase Women's Participation: Encourage more women to not only use but also create technology. We need more women researchers in AI. The unique experiences of women can profoundly shape the foundations of technology, paving the way for new and inclusive applications. 📍Draw on Diverse Expertise: Integrate diverse fields of expertise, including gender expertise, when developing AI. This ensures that machine learning systems serve everyone better and support the drive for a more equal and sustainable world. 📍Promote Inclusive Data and Decision-Making: In a rapidly advancing AI industry, the lack of gender perspectives, data, and decision-making can perpetuate inequality. For a gender-equitable world, we need gender-equitable technology and AI. In summary, for AI to be truly transformative and inclusive, we need a diverse and gender-balanced workforce. Let’s work towards a future where technology serves everyone equally. LinkedIn Guide to Creating LinkedIn for Nonprofits LinkedIn News India #GenderEquity #WomenInAI #BiasInTech #InclusiveTech #SustainableFuture

In our study with GoTo of 2,500 global employees and IT leaders on workplace technology trends, we found that while 86% of employees aren't confident in AI's accuracy and reliability, compared to only 53% of IT leaders. To drive successful AI adoption and leverage its benefits, HR must bridge this trust gap by collaborating closely with IT to implement transparent communication strategies. This involves clearly articulating the specific applications of AI, explaining its limitations, showcasing validated success stories within the organization, and providing comprehensive training that demystifies AI's functions and builds user proficiency. Read the full report: https://lnkd.in/e9RnDtXQ CC Neha Mirchandani Jen Mathews

10 Stages of SAP S/4HANA Migration Ready to take the leap to SAP S/4HANA? Here’s how top organizations make it happen - without the headaches. After 300+ client served and 30,000+ students trained, we’ve seen what works (and what doesn’t).  Here’s the proven 10-stage roadmap for a smooth SAP S/4HANA migration: 1. 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗣𝗵𝗮𝘀𝗲   Understand your current SAP ECC landscape. Build a business case and analyze risks before you move a pixel. 2. 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 𝗖𝗵𝗲𝗰𝗸   Evaluate system compatibility. Identify blockers and simplification items early - don’t let surprises derail your project. 3. 𝗖𝘂𝘀𝘁𝗼𝗺 𝗖𝗼𝗱𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀   Scan all custom programs. Fix non-compliant code now, avoid post-migration errors later. 4. 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝘀𝗶𝗻𝗴   Clean and validate your master and transactional data. Data quality is everything when migrating to a new platform. 5. 𝗦𝗮𝗻𝗱𝗯𝗼𝘅 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻   Run a trial migration in a safe environment. Test, learn, and refine your approach before the real deal. 6. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴   Decide on cloud or on-premise. Size your hardware and finalize technical architecture for S/4HANA. 7. 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗙𝗿𝗲𝗲𝘇𝗲   Lock customizations before the final move. This avoids last-minute surprises and keeps your migration on track. 8. 𝗙𝗶𝗻𝗮𝗹 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻  Execute the actual system conversion. This is your go-live moment - precision matters. 9. 𝗣𝗼𝘀𝘁-𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻   Check every process and data point. Validate functionality and data integrity to ensure nothing slips through the cracks. 10. 𝗛𝘆𝗽𝗲𝗿𝗰𝗮𝗿𝗲 & 𝗦𝘂𝗽𝗽𝗼𝗿𝘁   Monitor performance and support users. Quick response here means a smoother transition and happier teams. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿?   70% of SAP projects stumble due to poor planning, not technology.  Follow these steps, and you’ll be in the winning 30%. 𝗣.𝗦. 𝗪𝗵𝗶𝗰𝗵 𝘀𝘁𝗮𝗴𝗲 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲? 𝗦𝗵𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝘀 𝗶𝗻 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀 𝗯𝗲𝗹𝗼𝘄 👇 Follow Alok Kumar for more content like this ♻️ 𝗥𝗲𝗽𝗼𝘀𝘁 to help others