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  • Why Us | XcelerateIQ

    XcelerateIQ: XcelerateIQ : Empowering People on the Data and AI Journey. Science-based strategies that drive habits, behaviours, and culture change at scale. Science-based Strategies - Tailored for your team's needs Each organisation is unique in their culture, engagement styles and learning strategies. This is why we believe Data and AI initiatives should be customised for each organisation to ensure the transformation is sustainable for success. Our Approach: Data and AI Learnings for Lasting Impact Neuroscience to Embed Data Values Understanding how the brain absorbs information, we use immersive techniques to integrate data values a core part of your company culture. Our initiatives combine hands-on methods with real-world scenarios to reinforce data responsibility and quality, tailoring them to specific job personas. Through cognitive reinforcement and repetition practices, this approach leads to better retention of data values and cultural principles, encouraging employees to embrace their role in the organisation's Data and AI strategy. Social Learning to Drive Cross-Functional Data Insights Social Learning promotes data practice sharing and success story exchange among cross-functional teams. By using this collaboration process, it strengthens critical thinking, builds connections, and enhances overall data understanding, making learning more effective and engaging. This helps break data silos that often hinder the flow of data and insights across an organisation. Learners come to an awareness of how data travels and is used across the organisation and the impact their data behaviours have on other areas of the business. Transform Learnings into Actions Data and AI Habits Formation The science of habit formation helps employees embed data learnings into desired data behaviours. By introducing practices incrementally, this allows employees to gradually adapt. Consistent exposure through regular initiatives and integration of Data and AI tools into workflow routines is key. Context sensitivity is used to tailor approaches for functions' specific needs. We co-create environmental cues with teams to trigger effective use of Data and AI that is relevant for their roles. Drive Adoption through Grass-Roots, User-Driven Initiatives We advocate for Data Catalysts as change ambassadors in organisations. They can accelerate data engagement and adoption through their peer networks. These catalysts inspire colleagues by sharing their personal data experiences, demystifying complex concepts, and showcasing tangible successes. We like to gamify change to encourage Data and AI engagement. This includes quizzes, hackathons, and storytelling contests. These cross-functional challenges promote healthy competition and boost Data and AI community collaboration. Ready To Change and Realise The Value? We believe in equipping your workforce with the behaviours and mindset they need to truly leverage data and analytics to make better informed decisions that drive growth and achieve your organisational strategic goals. Commercial Teams are empowered with data-driven insights to meet customer needs while maximising profitability. Supply Chain Teams can enhance operational efficiency with analytics-informed optimisation and agile adaptability. Leaders can navigate with confidence, integrating insights-led strategies for value delivery, scalability and business readiness. Informed decisions can optimise resource use, reduce waster and innovate sustainable practices for a greener tomorrow. GET IN TOUCH NOW

  • XcelerateIQ | Services | Consulting, Advisory, Training, Capabilites

    XcelerateIQ : Strategic Consulting and Advisory Services, Tailored Programmes, Bespoke Training Solutions Our Services Science-based strategies that drive habits, behaviours, and culture change at scale. The key ingredient to this: Your People . From Data to Action: Real world applications and practical initiatives to empower your organisation to drive innovation and sustained growth. We offer a comprehensive suite of bespoke services that are tailored to your organisation's unique needs: Data Enablement Assessment & Recommendations Science Based Interactive Workshops and Activation Initiatives Data & AI Champions Empowerment & Coaching GET IN TOUCH NOW “Rosanne has shaped and led the delivery of 'Data in Action' with unwavering commitment. Her ability to connect people and foster collaboration has been instrumental in bringing together diverse teams for action - A True Change Catalyst!” Chief Data Officer, Coca-Cola

  • XcelerateIQ | AI for the Rest of Us: November London Meetup Event

    AI for the Rest of Us: November London Meetup Event : XcelerateIQ < Back AI for the Rest of Us: November London Meetup Event 28 Nov 2024 Our CEO, Rosanne Werner, recently featured as the Keynote speaker at the AI for the Rest of Us London Meetup. It was a fun and interactive session on Data and AI Habits Formation. Feedback: '5 out of 5 Stars'! Hosted by Narus.ai in their London offices, the event allowed Data and AI leaders to connect and collaborate on the challenges and opportunities presented by AI adoption and utilisation. Check out Hannah Fowell 's write up following the Meetup! Subscribe to her Newsletter Here ! Follow AI for the Rest of Us on LinkedIn and get involved in the next Meet up Event! Ready to empower your people on the Data and AI Journey? CONTACT US NOW

  • XcelerateIQ | Bridging the Human-Tech Divide: AI Adoption in Enterprise

    Bridging the Human-Tech Divide: AI Adoption in Enterprise : XcelerateIQ < Back Bridging the Human-Tech Divide: AI Adoption in Enterprise 9 May 2025 Data and AI Magazine's 10th Issue is specially dedicated to Women Leaders in Data & AI. After publishing over 120 articles, Data and AI Magazine is celebrating this milestone by featuring trailblazer women who are bridging the gap between AI's technical capabilities and real business value. Our CEO, Rosanne Werner, is featured in this issue for her work in breaking down barriers to AI adoption and utilisation. Read her article on "Bridging the Human-Tech Divide: AI Adoption in Enterprise". Rosanne Werner (3) .pdf Download PDF • 1.08MB Click here for the full Data and AI Magazine Special Issue #10 : Women Leaders in Data and AI Ready to empower your people on the Data and AI Journey? CONTACT US NOW

  • XcelerateIQ | Legal

    XcelerateIQ Company Information, Privacy Policy and Website Terms and Conditions XcelerateIQ Limited 124 City Road London EC1V 2NX UNITED KINGDOM Registered in the United Kingdom Company No. 15356650 hello@xcelerateiq.co.uk Legal Information Privacy Policy Last updated: July 17, 2024 1. Introduction This Privacy Policy explains how XcelerateIQ ("we", "us", or "our") collects, uses, and protects your personal information when you use our website and services. We are committed to protecting your privacy and complying with applicable data protection laws, including the EU General Data Protection Regulation (GDPR), the UK Data Protection Act 2018, and the California Consumer Privacy Act (CCPA). 2. Information We Collect and How We Collect It From You: We may collect the following personal information when you submit it through our website forms, when you connect with us via other online platforms, by using our products or services or by corresponding with us by post, phone, email or otherwise.: - Name - Address - Contact information (such as email address and phone number) - Purchase or account history - Payment details (including card or bank information for transfers and direct debits) - Website user information (including user journeys and cookie tracking) - Records of meetings and decisions - Information relating to compliments or complaints Third Parties: We may receive Personal Data about you from various third parties, including: - Device and Usage Data from third parties, including analytics providers such as Google; - Content from communication services, including email providers and social networks, when you give us permission to access your data on such third-party services or networks; - Account Information and Payment Data from third parties, including organizations (such as law enforcement agencies), associations and groups, who share data for the purposes of fraud prevention and detection and credit risk reduction; and - Account Information, Payment Data, and Financial Data from providers of technical, payment and delivery services. 3. How We Use Your Information We use your personal information for the following purposes: - To book consultations, meetings and other interactions - To send you our newsletter (if you've subscribed) - To communicate with you about our services - To organise events and register attendees - To enable access to our services and manage your account. 4. Legal Basis for Processing (EU and UK) Under the GDPR and UK GDPR, we process your personal data based on the following legal grounds: - Consent (for newsletter subscriptions) - Performance of a contract (for booking consultations) - Legitimate interests (for communication about our services) 5. Data Storage and Security Your personal information is stored on secure cloud servers that may be located in the United States, European Union, or United Kingdom. We implement appropriate technical and organizational measures to protect your data against unauthorized access, alteration, disclosure, or destruction. Additionally, we use the following third-party providers to store you information: - Wix - Microsoft - Hubspot 6. Data Access and Transfer Your data is accessible only by our employees located in the United Kingdom. When we transfer your data outside the UK or EU (e.g., to US-based servers), we ensure appropriate safeguards are in place, such as Standard Contractual Clauses approved by the European Commission or the UK Information Commissioner's Office. 7. Your Rights Depending on your location, you may have the following rights regarding your personal data: - Right to access - Right to rectification - Right to erasure ("right to be forgotten") - Right to restrict processing - Right to data portability - Right to object to processing - Rights related to automated decision-making and profiling To exercise these rights, please contact us using the information provided in Section 11. 8. Data Retention We retain your personal information for as long as necessary to fulfill the purposes outlined in this policy, unless a longer retention period is required or permitted by law. 9. Children's Privacy Our services are not directed to individuals under the age of 16. We do not knowingly collect personal information from children. 10. Changes to This Policy We may update this Privacy Policy from time to time. We will notify you of any significant changes by posting the new policy on our website. 11. Contact Us If you have any questions about this Privacy Policy or our data practices, please contact us at hello@xcelerateiq.co.uk . 12. Additional Information for California Residents Under the CCPA, California residents have specific rights regarding their personal information. Please refer to our California Privacy Rights section for more details. 13. Additional Information for EU and UK Residents You have the right to lodge a complaint with a supervisory authority. In the UK, this is the Information Commissioner's Office (ICO). In the EU, please refer to the European Data Protection Board website for a list of national supervisory authorities. This privacy policy aims to comply with current EU, US, and UK privacy laws. However, as laws can change and interpretations may vary, it's advisable to have this policy reviewed by a legal professional familiar with the latest developments in data protection law across these jurisdictions. Website Terms and Conditions Last updated: July 19, 2024 These terms and conditions (the "Terms and Conditions") govern the use of www.xcelerateiq.co.uk (the "Site"). This Site is owned and operated by XcelerateIQ Limited. By using this Site, you indicate that you have read and understand these Terms and Conditions and agree to abide by them at all times. Intellectual Property All content published and made available on our Site is the property of XcelerateIQ Limited and the Site's creators. This includes, but is not limited to images, text, logos, documents, downloadable files and anything that contributes to the composition of our Site. Acceptable Use As a user of our Site, you agree to use our Site legally, not to use our Site for illegal purposes, and not to: Harass or mistreat other users of our Site; Violate the rights of other users of our Site; or Violate the intellectual property rights of the Site owners or any third party to the Site. If we believe you are using our Site illegally or in a manner that violates these Terms and Conditions, we reserve the right to limit, suspend or terminate your access to our Site. We also reserve the right to take any legal steps necessary to prevent you from accessing our Site. Limitation of Liability XcelerateIQ Limited and our directors, officers, agents, employees, subsidiaries, and affiliates will not be liable for any actions, claims, losses, damages, liabilities and expenses including legal fees from your use of the Site. Indemnity Except where prohibited by law, by using this Site you indemnify and hold harmless XcelerateIQ Limited and our directors, officers, agents, employees, subsidiaries, and affiliates from any actions, claims, losses, damages, liabilities and expenses including legal fees arising out of your use of our Site or your violation of these Terms and Conditions. Applicable Law These Terms and Conditions are governed by the laws of the Country of England. Severability If at any time any of the provisions set forth in these Terms and Conditions are found to be inconsistent or invalid under applicable laws, those provisions will be deemed void and will be removed from these Terms and Conditions. All other provisions will not be affected by the removal and the rest of these Terms and Conditions will still be considered valid. Changes These Terms and Conditions may be amended from time to time in order to maintain compliance with the law and to reflect any changes to the way we operate our Site and the way we expect users to behave on our Site. We will notify users by email of changes to these Terms and Conditions or post a notice on our Site. Contact Details Please contact us at hello@xcelerateiq.co.uk if you have any questions or concerns.

  • XcelerateIQ | NowSkills Insights Live Webinar

    NowSkills Insights Live Webinar : XcelerateIQ < Back NowSkills Insights Live Webinar 26 Mar 2025 Episode 33 of the NowSkills Insights podcast featured our CEO, Rosanne Werner. Hosted by Gus Reyes, this engaging episode explored the vital human elements of data and AI culture, examining why mindset, behaviour and habits are just as essential as technology. Drawing from her experience leading the Global Data and AI Mindset and Culture programme at Coca-Cola, Rosanne shared practical strategies for organisations looking to close the adoption gap between technological capability and human readiness. Key topics covered in the conversation included: The science behind effective learning - using neuroscience, social learning and habit formation to build data fluency Practical approaches to embedding data and AI habits into organisational routines How to create learning experiences that move beyond traditional e-learning into long-term memory The importance of group-based learning for better retention and application The discussion highlighted that successful digital transformation isn't simply about implementing new tools, but about changing habits, mindset and culture. Rosanne emphasised how small, consistent actions compound over time to create substantial change in how people work with data and AI. This episode provides valuable insights for anyone interested in building a culture where data and AI become integrated into an organisation's DNA. See the recording at the link below: Ready to empower your people on the Data and AI journey? CONTACT US NOW

  • XcelerateIQ | AI for the Rest of Us Conference October 2024

    AI for the Rest of Us Conference October 2024 : XcelerateIQ < Back AI for the Rest of Us Conference October 2024 28 Oct 2024 AI learning experience like no other! 2 full days of inspiring and practical talks. No jargon. No hype. No confusing terminology. Day 1 featured: Engaging sessions explaining key AI terminology and concepts. Real-world implementation examples. Day 2 took a hands-on approach Understand AI's impact on specific roles. Identifying essential tools. XcelerateIQ CEO, Rosanne Werner, delivered an engaging session exploring ways to 'Crack the Code: The Human Element of AI Mindset and Culture', using evidence based approaches: Understanding how our brains change and learns, enabling AI acceptance Hacking into the Power of Habit Formation to integrate AI into daily workflows Utilising social dynamics to foster a collective AI-positive mindset You can find out more about future AI for the Rest of Us events by visiting their LinkedIn page: AI for the Rest of Us Ready to empower your people on the Data and AI journey? CONTACT US NOW

  • XcelerateIQ | ai:NOW Conference 2025

    ai:NOW Conference 2025 : XcelerateIQ < Back ai:NOW Conference 2025 1 Nov 2024 The 2025 ai:NOW conference has launched and is gaining momentum. There are some fantastic sessions planned and the return of the Innovation Stage giving AI Start-up Companies the platform to showcase their solutions. Our CEO, Rosanne Werner, will be leading the ai:NOW Conference as Event Chair. See Announcement from ai:NOW's Co-Founders and Co-CEOs, Charmaine Baker and Glenn Hapgood: Registration for the event in Munich on March 12 & 13, 2025 is open now: ai:NOW Conference DACH - CXO Portals For more about ai:NOW visit: ai by CXO Portals: Accelerating AI Adoption for Growth Ready to empower your people on the Data and AI Journey? CONTACT US NOW

  • XcelerateIQ | Innovation Stage - ai:NOW Conference in Munich

    Innovation Stage - ai:NOW Conference in Munich : XcelerateIQ < Back Innovation Stage - ai:NOW Conference in Munich 14 Oct 2024 The October 2024 ai:NOW Conference in Munich was a major success, drawing decision-makers from leading organisations across the Europe. The two-day event delivered on its promise of actionable outcomes through: Outcome-Focused Sessions built around delivering real-world, implementable ideas on topics like: Ethical implications of AI Advancements in technology Staying compliant Increased Networking Opportunities including curated roundtables and interactive breakout sessions, offering more chances for attendees to connect with peers, industry leaders, and potential collaborators. A Collaborative Environment with spaces for informal collaboration and spontaneous conversations. A highlight of the conference was the Innovation Stage, where XcelerateIQ CEO Rosanne Werner hosted an engaging start-up showcase featuring three cutting-edge AI companies. The interactive session highlighted diverse approaches to industry-specific challenges, culminating in an audience vote for the most innovative solution. Rosanne brought her expertise in cognitive psychology and organisational behaviour to the session highlighting the importance of both technical innovation and human factors in successful AI implementation. The showcase exemplified ai:NOW's commitment to bridging the gap between AI innovation and practical implementation. The full post-event report is available here , or find out about future ai:NOW conferences at ai:NOW Conference DACH - CXO Portals . Ready to empower your people on the Data and AI journey? CONTACT US NOW

  • XcelerateIQ | Intoware's Digital Transformation Bytes Podcast

    Intoware's Digital Transformation Bytes Podcast : XcelerateIQ < Back Intoware's Digital Transformation Bytes Podcast 2 Apr 2025 Rosanne Werner joined Brad Flook, CRO of Intoware, on the Digital Transformation Bytes podcast to discuss a question many organisations struggle to answer: why do expensive AI and digital transformation initiatives so often fail to deliver? The answer, it turns out, has less to do with the technology itself and far more to do with the people expected to use it. This episode focuses on the simple premise that tools don't transform organisations - people do. Werner and Flook explore what it takes to build real adoption, why data quality begins with frontline behaviour, and how prompt engineering might be the most overlooked skill in modern business. Key topics discussed include: 💡 The gap between technological advancement and organisational adoption 💡 Why data silos remain the biggest obstacle to AI readiness 💡 The importance of data quality and governance at the source 💡 How to build essential habits and behaviours for data fluency 💡 The value of prompt engineering as a critical skill for the future Rosanne shared insights from her experience leading the Global Data and AI Mindset and Culture programme at Coca-Cola, highlighting how companies can use behavioural science principles to create lasting cultural change. Both speakers stressed that while AI tools offer substantial opportunities, success depends on human capabilities, critical thinking, and collaboration. You can find out more about Intoware at https://www.intoware.com/ and see the full podcast episode below: Ready to empower your people on the Data and AI Journey? CONTACT US NOW Highlights 00:45 – Why digital transformation is a people problem, not a tech problem 08:12 – The biggest barrier to AI adoption isn't data, It's fear 15:30 – How siloed data mirrors siloed teams 22:45 – Why businesses chase shiny AI tools instead of solving real problems 29:10 – The role of prompt engineering in future-proofing skills 36:20 – Bias in AI models - and why diverse teams matter 42:15 – Human-in-the-loop: when you shouldn't trust the algorithm 48:30 – Advice for individuals and businesses entering the AI space Technology Is Easy. People Are Hard. Werner opened by addressing a reality many organisations overlook: digital transformation is rarely about the technology itself. 🗣 Rosanne Werner "Digital transformation is about the technology, about the tools - but the people aspect is often overlooked. Very little gets invested into building those capabilities. Just giving people a tool doesn't mean they're able to use it. If you don't have the people driving the cars, the tools will just sit there." Flook echoed this from his own work deploying digital workflows in manufacturing, oil and gas, and infrastructure. 🎙️ Brad Flook "People are key. We can all work out the return on investment, but if the people don't pick the tool up, it doesn't get the adoption needed. That's one of the biggest hurdles we come across." Werner described it as a tension between Martec's Law - technology accelerating at alarming speed - and organisational capacity to absorb that change. 🗣 Rosanne Werner "There's this rate of technology accelerating, but organisations don't change at that speed. Habits and behaviours don't change overnight. You need thinking time. You need to build skills and confidence, and address the fears - the fear of change, the fear of uncertainty." Leadership alignment, she noted, isn't optional. It's the difference between tools gathering dust and tools transforming work. --- The Barrier Isn't Data, It's Behaviour Flook raised a challenge familiar to anyone working in operations: many businesses still rely on pen, paper, and Excel spreadsheets. They haven't built the data foundations needed for AI to function. Werner agreed - but pointed to something deeper. 🗣 Rosanne Werner "Many companies dive into AI initiatives because they want to stay up to date, keep on top of competitors. But you can't adopt everything. You've got to be strategic. Start with: what is the business value? What specific problem are we trying to solve? Is AI the most suitable tool for the job?" She used a sharp analogy: don't use a chopping knife to slice an apple. Sometimes traditional programming or automation is simpler and more cost-effective. 🗣 Rosanne Werner "You've got to ask: what are the high-impact initiatives that drive value? What do we pursue, ignore, or postpone? If the data isn't ready or accessible, you get garbage in, garbage out." Flook pressed further: even when data exists, it's often inconsistent. He gave the example of regional language differences - how a bread roll is described entirely differently across the UK. 🎙️ Brad Flook "If everyone in your team answers it differently, how do you get consistency of data? That's where things like multiple choice questions give you that consistency." Werner confirmed it's a widespread issue - one recently identified by Harvard Business Review as the single biggest hurdle to AI readiness. --- Silos, Chefs, and Missing Ingredients Werner used a vivid analogy to describe the problem of siloed data. 🗣 Rosanne Werner "Imagine an AI system as a team of professional chefs. They're brilliant at what they do - but they're locked in separate kitchens. They only have their own ingredients. None of those recipes can be shared. They can't create a cohesive meal." A unified data platform, she explained, is like a central kitchen where everyone has access to the same ingredients, the same tools, the same giant recipe book. 🗣 Rosanne Werner "That's when you can create a symphony of flavours. But siloed data leads to multiple collections of the same data because teams aren't aware it's already been collected elsewhere." She also highlighted a deeper issue: even with the right processes and policies, does the workforce have the data awareness to treat it with care? 🗣 Rosanne Werner "Do they know how to manage data as an asset? Do they have the right habits and behaviours? Do they know the implications down the line if they enter something incorrectly - like putting ABC@hotmail.com instead of the real customer email?" When field sales teams enter incorrect data, marketing campaigns fail. Decisions get made on faulty information. The cost is more than just technical - it's strategic. 🗣 Rosanne Werner "If we can influence the frontline workers who capture that data at source, we spend less time cleaning it. We can focus on what the data tells us, how we interpret it, and how we tell that story to guide decisions that bring value." --- AI Didn't Create the Data Problem - It Exposed It Flook asked whether businesses had simply missed the importance of data governance over the past five years. Werner's answer was direct. 🗣 Rosanne Werner "AI has shown a real spotlight on data. Data's always been there, but AI has highlighted all the holes. If you want AI to perform well, your data needs to be of really good quality - and it needs to be relevant to the problem you're solving." She described AI as forcing a reckoning: organisations must sort their foundations before they can build on top of them. 🗣 Rosanne Werner "AI is getting a lot of attention from leadership. They can see the benefits. But you need a good foundation with that data before you get results. You need to sort your house out before AI comes in." --- Prompt Engineering: The Literacy Skill That is Being Ignored Flook shifted the conversation to something increasingly critical: prompt engineering. 🎙️ Brad Flook "There's a certain way of asking these models to get real value. It isn't just a two-line sentence. What are your thoughts?" Werner called it a skill that's now essential but rarely taught. 🗣 Rosanne Werner "Prompt engineering isn't something we've been brought up with at school. It's a skill set that's so necessary these days. The AI can do so much - but it's only as good as how you prompt it." She described common mistakes: people start with a single line and wonder why the output disappoints. 🗣 Rosanne Werner "Have you put the role in there? The task? The outputs? I've got a list of 'do not use' words because I don't want ChatGPT telling me something's 'a tapestry of life.'" Flook laughed in agreement, banning phrases like "deep dive" and "take a few lives." Werner also raised a more nuanced point: how do you train a model to reflect a company's values, communication style, and approach? 🗣 Rosanne Werner "How you communicate to supply chain teams could be very different than how you communicate to commercial teams. Training the model to have domain expertise and insights the engine wouldn't normally have - that's where the value is." But she also issued a warning. 🗣 Rosanne Werner "When we're building models based on our own data, we need to be conscious about whether we're feeding our own bias into them. Are we building a supercharged bias model? We need diverse teams, diverse feedback loops, and we need to test the logic." --- AI and the CV Debate: Tool or Cheat? Flook brought up a contentious topic: companies rejecting CVs because applicants used AI to write them. 🎙️ Brad Flook "I'm a big believer that AI doesn't replace humans - but it can automate manual tasks dramatically. So where do you see the cut-off point?" Werner's response was unequivocal. 🗣 Rosanne Werner "AI is a tool. Why would you not use it? A Gallup report says only 13% of the workforce is engaged at work. When you see what AI can do - take on repetitive, mundane tasks - it frees up time for the things that give us fire in the belly. Time to be curious, creative, time to spend with families and friends." She compared it to the arrival of calculators. 🗣 Rosanne Werner "It's a tool to help us do things better and more quickly. Why wouldn't you use it?" She extended the argument to education. 🗣 Rosanne Werner "If we're not teaching AI in education now, the generations coming up will graduate and be asked to use AI at work. Why are we not prepping them with those cognitive capabilities?" Flook agreed, describing AI as a tool that closes knowledge gaps and accelerates learning. 🎙️ Brad Flook "What AI does is close the gap between something you don't understand and someone who does. If you understand the right prompts to ask, you can accelerate that gap very quickly." Werner highlighted a medical example. 🗣 Rosanne Werner "Scientific research shows that the more time doctors spend by a patient's side with good bedside manner, the more likely they are to stick to a treatment plan. Why wouldn't we use AI to help doctors take the grunt work of writing reports so they can focus on things that actually save lives?" --- Bias: The Overlooked Aspect in Every Model The conversation turned to one of the most contentious issues in AI: bias. Flook voiced his frustration with models that lean politically, socially, or geographically based on the data they were trained on. 🎙️ Brad Flook "We've gone through such a media-driven world where media is so biased. I thought, this isn't person-driven, this is data-driven - but it still leans one side or the other." Werner ran an experiment around International Women's Day. 🗣 Rosanne Werner "I asked three different models to give me an image of a civil engineer, a mathematician, an actuary. They all came back with men. Men with beards." Flook laughed - then pointed out the implications. 🎙️ Brad Flook "Neither of us are going to do well then" and rubs his chin. 🗣 Rosanne Werner "It's not just identifying the bias in the AI. We need critical thinking skills - not just taking outputs as truth. If you're building models, what data are you putting in? Have you got a diverse team that can provide feedback?" She stressed the importance of human judgement. 🗣 Rosanne Werner "You still need the human in the loop for those really complex grey areas. And we need to be conscious about whether we're feeding our own bias into these models." Flook asked whether bias could ever be truly controlled in large frontier models. Werner returned to education and awareness. 🗣 Rosanne Werner "What we can change now is the education side. How do we fact-check AI outputs? What sources do we use? We need fairness checks, standards. We need to share use cases and say, 'This has come out - are you aware of these biases?'" She also emphasised psychological safety. 🗣 Rosanne Werner "If we've got different perspectives, are we creating a safe space for everyone to voice their opinions and concerns if they're seeing bias? You might not see a bias that I see. Do we have a safe space to talk about it openly?" --- Advice for Individuals and Businesses To close, Werner offered guidance for anyone looking to move into AI or lead digital transformation. 🗣 Rosanne Werner "Build a continuously learning habit. Be curious. Build your technical skills - but know that the half-life of skills is between two and a half and five years. Every two and a half years, your technical skills are out of date." She also stressed resilience and adaptability. 🗣 Rosanne Werner "It's AI now - what's the next emerging technology? You're building your adaptability muscles for whatever comes next." But her strongest emphasis was on human skills. 🗣 Rosanne Werner "Build the skills AI can't replace. Empathy. Emotional intelligence. Creative problem-solving that connects different dots. Communication. Collaboration. People are craving human connection. These are the things that matter." For businesses, her message was equally clear. 🗣 Rosanne Werner "Technology is changing so quickly. You need to invest in your people. We're in an era where users drive adoption - not the tech giants. Do your people have the capabilities? Do they feel safe to test and learn? Do you have collaborative spaces where people can share best practices?" Flook reinforced the point. 🎙️ Brad Flook "Human-in-the-loop is important. How people approach it, how they put empathy on it, how they use their different skill sets to translate what's happening - that's what makes the difference." Closing Thoughts This conversation doesn't pretend AI transformation is simple. It's messy, human, and requires far more than a subscription to a platform. The tools exist. The models are powerful. But transformation doesn't happen in the cloud - it happens in the habits, confidence, and trust of the people expected to use them. Data quality, adoption, and behaviour change don't happen by accident. They require investment, leadership alignment, psychological safety, and a willingness to address the uncertainty and be adaptable. But when organisations get it right, the return is more than just efficiency - it's engagement, capability, and long-term resilience.

  • XcelerateIQ | US Podcast Guest Appearance: Stop Doing Stupid Stuff™

    US Podcast Guest Appearance: Stop Doing Stupid Stuff™ : XcelerateIQ < Back US Podcast Guest Appearance: Stop Doing Stupid Stuff™ 10 Apr 2025 CEO, Rosanne Werner, joins a special edition of the Stop Doing Stupid Stuff™ podcast, hosted by Tim Keefe and Andreas Wieman of Transform-CX Inc , , who are also co-authors of the Stop Doing Stupid Stuff™ book, available on Amazon. This episode of Stop Doing Stupid Stuff™ tackles a pressing but often overlooked trend: Shadow AI—when employees use AI tools like ChatGPT, Copilot, or Perplexity without official approval. Rosanne, Tim and Andreas break down the cultural tension, security risks, and surprising motivations behind this behavior. The takeaway? Shadow AI isn’t rebellion—it’s resourcefulness. Smart leaders won’t ban it… they’ll build frameworks around it. You can listen to the full episode below. Learn more about Transform-CX Inc: https://www.transform-cx.com Ready to empower your people on the Data and AI Journey? CONTACT US NOW

  • XcelerateIQ | Eden Smith AI Horizons Podcast

    Eden Smith AI Horizons Podcast : XcelerateIQ < Back Eden Smith AI Horizons Podcast 10 Feb 2025 AI Horizons is a podcast where innovation meets transformation. Hosted by Jonathan Blaber , a leader in AI and Data recruitment at Eden Smith, this series brings together some of the brightest minds in artificial intelligence to discuss the strategies, challenges, and opportunities shaping the AI-driven future of work. This episode features Rosanne Werner, CEO of XcelerateIQ, where she shared insights on keeping the human element at the heart of AI-driven transformation. Along with Jonathon, they explored: What’s the REAL problem we’re solving? Why clearly defining objectives is critical for AI success. Is our data ready? Assessing the foundation for effective AI integration. Are our people ready? Preparing teams to embrace and work alongside AI. Leadership Advice : Practical tips for ensuring humans remain central to decision-making processes. Future Skills : Insights on where the market is heading and the capabilities leaders need to prioritise. This episode offers a thoughtful blend of strategy and practical advice for leaders navigating the balance between technological innovation and human value. You can listen to the full episode at https://rss.com/podcasts/eden-smith-ai-horizons/1869238/ Ready to empower your people on the Data and AI Journey? Contact Us Now

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