Artificial Intelligence in Business

I just returned from #SAPSapphire Madrid 2025, where I had the opportunity to engage with many customers from across Europe. As a software company headquartered in the region, SAP is uniquely positioned to drive innovation in Europe and help organizations harness Business AI effectively and responsibly. A key focus of our discussions was: How can Business AI drive value creation and position finance as a strategic partner within organizations? At both Sapphire Orlando and Madrid, we unveiled significant AI advancements, including our partnership with Mistral AI to bring advanced agentic AI to core finance processes. Our new Accruals Agent, set for general availability in Q3 2025, will automate journal entry preparation for accruals by analyzing historical data and financial patterns, significantly reducing manual work and accelerating month-end close processes. We also introduced an expanded network of AI agents, orchestrated by our AI assistant Joule, which are designed to reimagine business processes across systems and lines of business. These agents leverage SAP Business Data Cloud to access enterprise data and act across both SAP and third-party systems, with a deep understanding of data structures, semantics, and processes. Some highlights include: ▪️ Dispute Resolution Agent: Reasons through disputed details and relevant business records to validate cases and propose solutions. It acts on human-approved resolutions to quickly close disputes, improve cash flow, and enhance customer satisfaction. ▪️ Accounts Receivable Agent: Processes data related to overdue receivables and performs appropriate follow-up tasks with customers, saving time by analyzing open items, minimizing bad-debt write-offs, and reducing the number of days sales outstanding.   These innovations demonstrate the immense potential of agentic AI for finance functions and beyond. Our agents go beyond serving suggestions; using advanced reasoning capabilities, they can "think" through business problems, coordinate across systems, decide on actions, and act autonomously – with human oversight. I encourage you to explore these and other advancements in our SAP Sapphire Innovation Guide: https://lnkd.in/eC8Z4NE9

But what if insurance worked more like Netflix? Netflix tracks your viewing behavior and adapts recommendations instantly. If insurance products adapting the same way, premiums adjusting dynamically to fitness levels, coverage expanding with life stages, benefits rebalancing as goals evolve. McKinsey estimates AI-led personalization could lift insurer revenues by 10–15%, while lowering claims costs through early risk detection. And The technology already exists. Wearables generate 250+ daily data points per user around heart rate, sleep, activity. PwC reports 63% of consumers are willing to share health data if it results in cheaper or more personalized premiums. And Personlaized premiums is not a distant reality. It can be achieved by: 𝟏. 𝐈𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 that allow secure ingestion of health and behavioral data at scale. 𝟐. 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐬𝐚𝐧𝐝𝐛𝐨𝐱𝐞𝐬 that encourage innovation while protecting privacy. 𝟑. 𝐀𝐈 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 to ensure transparent pricing and avoid hidden bias. 𝟒. 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩𝐬 with health-tech, fintech, and wellness players to broaden value delivery. Insurance is likely evolve from a once-in-a-decade purchase to a living product. #DigitalIndia #Fintech #AI #technology #Fintech #AI #technology

AI systems built without women's voices miss half the world and actively distort reality for everyone. On International Women's Day - and every day - this truth demands our attention. After more than two decades working at the intersection of technological innovation and human rights, I've observed a consistent pattern: systems designed without inclusive input inevitably encode the inequalities of the world we have today, incorporating biases in data, algorithms, and even policy. Building technology that works requires our shared participation as the foundation of effective innovation. The data is sobering: women represent only 30% of the AI workforce and a mere 12% of AI research and development positions according to UNESCO's Gender and AI Outlook. This absence shapes the technology itself. And a UNESCO study on Large Language Models (LLMs) found persistent gender biases - where female names were disproportionately linked to domestic roles, while male names were associated with leadership and executive careers. UNESCO's @women4EthicalAI initiative, led by the visionary and inspiring Gabriela Ramos and Dr. Alessandra Sala, is fighting this pattern by developing frameworks for non-discriminatory AI and pushing for gender equity in technology leadership. Their work extends the UNESCO Recommendation on the Ethics of AI, a powerful global standard centering human rights in AI governance. Today's decision is whether AI will transform our world into one that replicates today's inequities or helps us build something better. Examine your AI teams and processes today. Where are the gaps in representation affecting your outcomes? Document these blind spots, set measurable inclusion targets, and build accountability systems that outlast good intentions. The technology we create reflects who creates it - and gives us a path to a better world. #InternationalWomensDay #AI #GenderBias #EthicalAI #WomenInAI #UNESCO #ArtificialIntelligence The Patrick J. McGovern Foundation Mariagrazia Squicciarini Miriam Vogel Vivian Schiller Karen Gill Mary Rodriguez, MBA Erika Quada Mathilde Barge Gwen Hotaling Yolanda Botti-Lodovico

Google's AI systems need consensus from multiple sources to recommend your business. Your Google Business Profile alone isn't enough. Google's MUM system "understands consensus when multiple high-quality sources agree on the same fact." That's why we got our client listed on platforms AI trusts: • Yelp (frequently cited for local services) • TripAdvisor (strong for experience-based businesses)   • Facebook Business (indexed and integrated into Meta AI) • Bing Places (used in Bing Copilot) • Industry-specific directories Each listing reinforced their credibility signals. The key? Maintain consistent NAP (Name, Address, Phone) everywhere. Even tiny differences like "High Street" vs "High St." create uncertainty for AI systems. Result: They're now appearing for 155 keywords in UK AI Overviews. Building this web of consensus takes time, but it's what separates businesses that get featured from those that remain invisible. How many trusted platforms is your business listed on?

Yesterday I was asked on LinkedIn a very good question which is relevant to all: ‘In the AI era, how do we sell and how do we buy?’ It’s a powerful question because the rules are shifting under our feet. I've been deep in this space, watching AI agents increasingly step into the decision-making role that was once purely human territory. And here's what's becoming clearer by the day: while technology advances, trust isn't becoming less important, it's becoming everything. The more I work in this space, the more I see a fundamental shift. We're no longer just building trust with human buyers. We're building it with AI systems that influence or make purchasing decisions. Businesses now have two audiences to convince: the humans buying the product and the algorithms that rank, recommend, and decide. And here's what makes this fascinating: both need to trust you, but for entirely different reasons. This means: → Transparency has to be non-negotiable, your data, your messaging, and your practices need to align perfectly with what you promise. → Human connection matters more than ever. In a world of algorithmic decisions, authentic relationships become your strongest differentiator. → Personal branding and credibility matters, because even in the AI era, people invest in people. → Ethics aren't just for your "About Us" page or a PR campaign, they need to be coded into your algorithms and embedded in every business decision. We’re in uncharted territory. Businesses need to stop thinking of trust as a soft concept and start treating it like the backbone of every system they build. So, how are you ensuring trust is at the core of your business in this AI-driven landscape? The "trust recession" people talk about isn't just a catchy phrase. It's a wake-up call. In an AI-driven landscape, trust isn't a nice-to-have currency, it's the only currency that matters. What's your take? How are you building trust in a world where both humans and AI systems need to believe in your business? #AI #FutureOfBusiness #Leadership #Trust #DigitalTransformation ♻️ → Repost if you found this useful! ______________ 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝘁𝗶𝗽𝘀, 𝗳𝗼𝗹𝗹𝗼𝘄 me: @𝗻𝗮𝘀𝘀𝗶𝗮𝘀𝗸𝗼𝘂𝗹𝗶𝗸𝗮𝗿𝗶𝘁𝗶

This Women's Day, I'm celebrating the INCREDIBLE women revolutionizing AI! While AI transforms our world at lightning speed, these 10 extraordinary women are ensuring it's built with humanity at its core. Their work isn't just innovative—it's revolutionary. Meet the architects reshaping our technological future: →Fei-Fei Li: Created ImageNet, the dataset that ignited the modern AI revolution and forever changed computer vision → Timnit Gebru: Exposed critical biases in AI systems, forcing the entire industry to confront its blind spots → Mira Murati: The engineering brilliance behind ChatGPT and DALL-E Open Ai, setting new standards for AI capabilities → Allie K. Miller: Democratized enterprise AI adoption, bridging the gap between cutting-edge research and practical business applications → Daphne Koller: Transformed education through Coursera while pioneering AI approaches to drug discovery that could save countless lives → Cynthia Rudin: Championed interpretable AI when everyone else accepted black-box systems, proving transparency doesn't sacrifice performance → Lisa Su: Orchestrated AMD's remarkable transformation into an AI hardware powerhouse, delivering the computational backbone of our AI future → Regina Barzilay: Turned her personal cancer diagnosis into groundbreaking AI-powered early detection systems that will save thousands → Rana el Kaliouby, Ph.D.: Pioneered emotional AI, teaching machines to understand human feelings when others thought it impossible → Eva Navarro López: Champions ethical AI frameworks that ensure these powerful tools serve humanity equitably ↳ What makes these leaders truly exceptional isn't just their technical brilliance—it's their understanding that AI's greatest challenge isn't computational, but human. ↳ Each has confronted a different facet of the AI puzzle: ethics, accessibility, transparency, emotional intelligence, bias, or practical application. ↳ Together, they're creating an AI ecosystem that reflects the full spectrum of human experience rather than the limited perspective of a homogeneous few. The real power of AI won't come from faster processors or bigger datasets, but from diverse minds asking better questions about how this technology should serve humanity. These women aren't just participating in the AI revolution—they're ensuring it benefits everyone. To EVERY woman in tech, data science, and AI—whether you're just starting your journey or leading teams and organizations—your perspective is invaluable. The diversity you bring to the table isn't optional for AI—it's ESSENTIAL. Who inspired you the most from this list? Tag a woman in tech who inspires YOU daily! Share this post to inspire the next generation of women in AI! Let's make sure everyone sees that the future of AI has powerful women at its helm! hashtag #WomenInAI #InternationalWomensDay #WomenWhoCode #AIEthics #WomenInTech #BreakTheBias #TechLeadership

Today’s Economic Times Delhi edition carried a powerful story on women shaping the future of AI and deep tech. Reading about Prukalpa ⚡ Sankar of Atlan, who won the Woman Ahead award for creating a single source of truth for a firm’s data assets, I couldn’t help but feel deeply inspired. What stood out for me was not just the recognition of one brilliant leader, but the incredible list of contenders alongside her -Pallavi Shrivastava (Progcap), Romita Mazumdar (Foxtale), Shruti (ApnaKlub), Aditi Murarka (Nestasia), Anjali Sardana (Pronto). Each of them represents courage, resilience, and innovation in spaces where women have often been underrepresented. Prukalpa’s words in the feature stayed with me: “When I started, there were very few role models of women building global, deep-tech firms. Now to be recognised among the incredible women leaders is inspiring.” For me, this is what AI Kiran is all about, creating platforms where human stories meet technology, where innovation is not just about codes and algorithms but about shaping impact, governance, and inclusion. We often hear that AI will change the future. But stories like these remind us that women in AI are already changing the present. Ofcourse lots still to be done ! Here’s to celebrating more such voices, amplifying their journeys, and ensuring that the future of tech is diverse, inclusive, and human-first. To all the women leading the charge, thank you for diving deep so the rest of us can rise together. Kirthiga Reddy Lakshmi Pratury Shagufta D. Sanjana Hiremath #AI #WomenInTech #Leadership #Inclusion #SecondAct #HumansOfAI

AI biases are rife and built into the systems. I think some of the only ways we can overcome them is to talk about them, share which amazing people are working in AI that will solve these issues and how we can take action too. One thing we can do is to engage with AI, content, tools, prompts & beyond. The more women, minority communities & diverse folks engage & lead, the better. So here’s a short of list of just six incredible women leading the charge in AI. Saba Samiei 🦄 is based in Auckland and is the founder of two orgs, MASCO & Comfort.AI. MACSO helps tech business integrate sensory AI into their hardware. Further, Saba has created an education platform to make AI information & learning more accessible to people. She’s helping to democratise AI information so that people feel comfortable to engage with, talk about and use AI tools. Shivon Zilis was the youngest board member at OpenAI & Neuralink. She now holds the role of Director of Ops & Special Projects at Neuralink. Neuralink helps to restore autonomy for people with medical needs that often go unmet. They’re creating groundbreaking tech to support people with quadriplegia among many other disabilities. Timnit Gebru was fired by Google for raising discrimination issues at work, whilst she was leading the ethical AI research team, mind-blowing. Timnit went onto create her own business called The Distributed AI Research Institute (DAIR) where they’re working to include diverse & deliberate perspectives that can be truly beneficial. Their research is centred around communities & their lived experiences. Dr Fei-Fei Li is known as the Godmother of AI & for good reason she’s the director of Standford’s Human-Centred AI Institute. Fei-Fei is also the founder of AI4ALL a non-profit that aims to improve diversity & inclusion through education of AI. Fei-Fei is an author of 'The Worlds I See' which is a story of science in the first person, documenting one of the century’s defining moments from the inside. It provides a riveting story of a scientist at work & a thrillingly clear explanation of what AI actually is—and how it came to be. Dr Ekta Sharma is an early career research academic, currently serving as the Office of National Intelligence (ONI) postdoctoral fellow in artificial intelligence. She’s been recognised with a number of awards, 2024 Asia Pacific Women in AI, 2024 Australian Trailblazer in AI among many others. Ekta’s work is deeply focused on advancing AI & promoting more gender diversity in STEMM, she believes there are positive uses and ethical approaches to AI use. Dr Rana el Kaliouby, Ph.D. is an AI scientist, founder & investor. She believes that AI can be of service to humanity to be healthier, happier and more productive. She’s also an author of the book, Girl Decoded which tells her incredible life story to launching her business Affectiva which she later raised over $50million dollars for. She now also hosts a leading podcast called Pioneers of AI. 

When I scroll through AI leadership profiles, I see a pattern that is so predictable that it's almost algorithmic itself - men, men, and more men. In a field shaping humanity's future, only 12% of AI researchers globally are women. This isn't just a diversity issue; it's a design flaw in our digital future. The stakes couldn't be higher. With just 11 women among 136 founding team members of major AI companies valued over $500M, we're allowing critical technologies to develop with massive blind spots. Meanwhile, India's 10M+ tech workforce faces transformation, with AI potentially replacing up to 50% of voice-based roles and 30% of IT service positions. This disruption can either entrench existing inequalities or create new pathways for inclusion. The choice isn't automatic - it depends entirely on who designs these systems and for whom they're designed. At Kalaari Capital, we view this imbalance as both a moral concern and an untapped opportunity. Our investment thesis increasingly focuses on founders building inclusive AI applications that bridge India's stark digital divides rather than widening them. India stands at a pivotal moment, ranked 4th globally for AI preparedness. Our homegrown innovations like Sarvam 1 demonstrate our technical capabilities. Now we must demonstrate our commitment to ensuring women help architect our AI future, not just adapt to it. If you're a woman building in AI, I would love to hear from you. If you're an investor or tech leader there is a need to build AI that is ethical and inclusive for all of humanity. #AI #Technology #Leadership

"While we debate, scrutinize, and hesitate, the systems we seek to reform move forward—unbothered and unchallenged." This single sentence, pulled from an article by Charter's Head of Workplace Strategy Massella Dukuly, crystallized the paradox I see every day through my work at Mother AI. Women (especially mothers) are being left behind in the AI revolution—not because we lack interest or ability, but because our very values and critical thinking might be keeping us on the sidelines. I remember my own journey with AI tools. Initially, I approached with caution, asking all the right questions: ❓ How might this perpetuate bias ❓What happens to my data ❓Is this sustainable ❓Am I somehow taking shortcuts by using this These are important questions. But I knew I had to forge forward even while I was carefully considering the ethical implications. Why? Because others are racing ahead—learning, adapting, and building advantage. The truth is, we can hold space for ethical concerns AND actively shape how these technologies develop. In fact, we must. For working mothers especially, the stakes are too high to sit this one out. We have to consider the implications and impact of AI on our kids mental health, education and future of work. I've now shifted from cautious observer to engaged participant. I use AI tools daily, but I'm also keeping tabs on what these companies and government are saying/doing when it comes to regulations, privacy and overall transparency. What I've found is that engagement in this space doesn't mean abandoning values. Because if those of us who care most about ethical AI don't participate in shaping it, we'll end up with systems that don't reflect our needs or perspectives. Where are you in your AI journey? Are you hesitating or engaging? I'd love to hear your perspective in the comments. #WomenInTech #AIEthics #WorkingMoms #MotherAI #ShePowersAI