The AI backlash HarperCollins experienced this week is another example of what can happen when stakeholders feel AI is being used unethically. Imagine if they were a publicly traded company. How would this have impacted the company’s value? Here’s my current approach to rolling out new products or features (with and without AI) while minimizing negative sentiment. 1) Research - Attitudinal (How does our audience feel about AI?) - Behavioral (How do they currently use AI?) - Quantitative (Surveys) - Qualitative (Interviews) Combining these four research methods can create the foundation for the rollout strategy and help participants have buy-in. 2) Positioning - What is currently on the market? - Have our competitors done something similar? - How will ours be different/unique? This will ensure you don’t become just another “AI tool”. Differentiation can be baked into every part of the product. 3) Messaging Once you have the research and positioning you can create messaging that would align with your personas and communicate the value. 4) Go-To-Market With a strong foundation, you can confidently launch your messaging across the mediums and channels that matter most to your personas with the highest probability of hitting your KPIs. It’s deceivingly simple, but when implemented effectively, it can give all parties (customers, partners, employees) a sense of ownership over the new initiative. Do you agree with this process? Or, do you think backlash is unavoidable with AI announcements? New Source: The Verge
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Is AI revolutionizing *qualitative* market research? Lately, we're hearing that AI tools can "mine insights" from vast libraries of qualitative recordings. Or help teams conduct qual research "at scale.” Here’s the problem with these claims: qualitative research discussions are subjective and conversational. They are human. We all know that human conversation / communication is mostly non-verbal -- expressions, volume, tone, body language, gestures, breathing, etc. On top of that, human conversation also uses sarcasm. And subtext. And humor. And pauses --or even silence. These are routine conversational details. And none of them are captured in a market research transcript. And that's the main reason why today's AI analysis of qualitative research is inherently flawed. It only looks at transcripts. So it doesn't get the whole story. But, you ask, couldn't AI-powered software read emotions from video recordings of conversations? Affectiva was founded in 2009, with a mission to read human emotions captured on video. I was rooting for them to be successful in that mission. But in 12 years, the company never launched a product that reliably read emotions / sentiment of people *in conversation*. It was acquired by Smart Eye in 2021, which seems primarily focused on automotive driver monitoring systems (eye tracking). At some point, some day, AI will be paired with hardware/sensors so that it can read nonverbals, more accurately than humans. Perhaps androids will also be as emotionally intelligent and expressive as humans (like those in HBO's Westworld). When that happens, teams of androids will no doubt be conducting qualitative research and writing insightful reports. Instantly. But in the real world of today, AI-driven transcript analysis of human conversations cannot --and should not-- revolutionize qualitative market research, as this Fast Company article suggests. #marketresearch, #datasynthesis, #AI, #researchreports, #qualitativeresearch, #transcripts, #nonverbalcommunication
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“Sadly, many companies have long avoided the use of open-end qualitative questions in their research studies. And the reason goes to the heart of what AI fixes: qualitative open-end responses are very complicated to interpret.” Our CEO, Ron Howard, explained how artificial intelligence (AI) allows businesses to understand the ‘why’ behind consumer behavior and feedback for Fast Company. Head to the full article for insight into how AI can untangle complex influences such as work-life balance to discover what’s really driving your customers, the market, or even yourself. #AI #MarketResearch #Research
AI is revolutionizing the market research industry. Here's how—and why
fastcompany.com
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The Future of Work Report: AI at Work, November 2023 uncovers the latest real-time trends we see around how AI is ushering a new world of work, grounded in LinkedIn’s unique labor market insights, based on one billion professionals and 67 million companies. Professionals’ conversations and sentiments towards AI: Over the past year, AI has rapidly become a part of the cultural and business zeitgeist. See how conversations around AI on LinkedIn have increased over time and dive into executive and professional sentiment around AI, while understanding how companies are investing in AI talent. Generative AI (GAI) by education, generation, and gender: While we know that across the globe more than half of professionals’ roles will be changed to some degree by the rise of AI, we also know that some professionals will be impacted more significantly than others. Our findings reveal that professionals with advanced degrees, Gen Z, and women will see their jobs disrupted at higher rates than other professionals. LinkedIn’s AI-assisted products will create more value for members and customers: More than half of LinkedIn’s global members stand to benefit from GAI tools in their daily jobs. Learn how LinkedIn is building new ways to bring the power of GAI to serve professionals and businesses in this rapidly changing environment.
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🔍 𝐈𝐧 𝐀𝐈’𝐬 𝐖𝐨𝐫𝐥𝐝, 𝐓𝐡𝐞𝐫𝐞’𝐬 𝐍𝐨 𝐒𝐮𝐜𝐡 𝐓𝐡𝐢𝐧𝐠 𝐚𝐬 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬—𝐎𝐧𝐥𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐖𝐞’𝐯𝐞 𝐘𝐞𝐭 𝐭𝐨 𝐒𝐞𝐞. In the realm of AI, what might seem random or chaotic to us is often just a complex pattern waiting to be uncovered. In AI’s world, there’s no such thing as randomness—only patterns we’ve yet to see. 🤖 𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧: AI excels at analyzing vast amounts of data and identifying patterns that are invisible to the human eye. What we might perceive as random noise, AI can decipher into meaningful trends and insights. ⚖️ 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬: The more we rely on AI to understand the world, the more we realize that what we once considered random might actually be predictable—if only we had the right tools to see it. How does this shift our perspective on decision-making and uncertainty? 🤔 𝐓𝐡𝐞 𝐈𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: As AI continues to uncover hidden patterns, it has the potential to revolutionize industries, predict future events, and solve complex problems. But with this power comes the responsibility to ask: Are we ready to act on the patterns AI reveals, even if they challenge our existing beliefs? 🌍 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐚 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐞𝐝 𝐖𝐨𝐫𝐥𝐝: In a world where AI can detect patterns in everything, from markets to human behavior, how do we ensure that we use these insights ethically and wisely? What new opportunities and challenges arise when we move from a world of apparent randomness to one of discoverable patterns? AI’s ability to find order in chaos is transforming how we see the world. As we unlock these hidden patterns, it’s crucial to consider how we harness this knowledge for the greater good. 💬 What are your thoughts on AI’s ability to uncover patterns in what seems random? How can we use this power responsibly? hashtag#AI hashtag#PatternRecognition hashtag#Innovation hashtag#Technology hashtag#FutureOfWork hashtag#EthicsInAI
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Thoughtful and forward-looking article on the capability of AI in Opinion Research by my friend and colleague Ron Howard. https://lnkd.in/evkNQZri Well worth the read! #AI #OpinionResearch #DataScience #Analysis
AI is revolutionizing the market research industry. Here's how—and why
fastcompany.com
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🔍 𝐈𝐧 𝐀𝐈’𝐬 𝐖𝐨𝐫𝐥𝐝, 𝐓𝐡𝐞𝐫𝐞’𝐬 𝐍𝐨 𝐒𝐮𝐜𝐡 𝐓𝐡𝐢𝐧𝐠 𝐚𝐬 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬—𝐎𝐧𝐥𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐖𝐞’𝐯𝐞 𝐘𝐞𝐭 𝐭𝐨 𝐒𝐞𝐞. In the realm of AI, what might seem random or chaotic to us is often just a complex pattern waiting to be uncovered. In AI’s world, there’s no such thing as randomness—only patterns we’ve yet to see. 🤖 𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧: AI excels at analyzing vast amounts of data and identifying patterns that are invisible to the human eye. What we might perceive as random noise, AI can decipher into meaningful trends and insights. ⚖️ 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬: The more we rely on AI to understand the world, the more we realize that what we once considered random might actually be predictable—if only we had the right tools to see it. How does this shift our perspective on decision-making and uncertainty? 🤔 𝐓𝐡𝐞 𝐈𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: As AI continues to uncover hidden patterns, it has the potential to revolutionize industries, predict future events, and solve complex problems. But with this power comes the responsibility to ask: Are we ready to act on the patterns AI reveals, even if they challenge our existing beliefs? 🌍 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐚 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐞𝐝 𝐖𝐨𝐫𝐥𝐝: In a world where AI can detect patterns in everything, from markets to human behavior, how do we ensure that we use these insights ethically and wisely? What new opportunities and challenges arise when we move from a world of apparent randomness to one of discoverable patterns? AI’s ability to find order in chaos is transforming how we see the world. As we unlock these hidden patterns, it’s crucial to consider how we harness this knowledge for the greater good. 💬 What are your thoughts on AI’s ability to uncover patterns in what seems random? How can we use this power responsibly? hashtag#AI hashtag#PatternRecognition hashtag#Innovation hashtag#Technology hashtag#FutureOfWork hashtag#EthicsInAI
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🔍 𝐈𝐧 𝐀𝐈’𝐬 𝐖𝐨𝐫𝐥𝐝, 𝐓𝐡𝐞𝐫𝐞’𝐬 𝐍𝐨 𝐒𝐮𝐜𝐡 𝐓𝐡𝐢𝐧𝐠 𝐚𝐬 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬—𝐎𝐧𝐥𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐖𝐞’𝐯𝐞 𝐘𝐞𝐭 𝐭𝐨 𝐒𝐞𝐞. In the realm of AI, what might seem random or chaotic to us is often just a complex pattern waiting to be uncovered. In AI’s world, there’s no such thing as randomness—only patterns we’ve yet to see. 🤖 𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧: AI excels at analyzing vast amounts of data and identifying patterns that are invisible to the human eye. What we might perceive as random noise, AI can decipher into meaningful trends and insights. ⚖️ 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬: The more we rely on AI to understand the world, the more we realize that what we once considered random might actually be predictable—if only we had the right tools to see it. How does this shift our perspective on decision-making and uncertainty? 🤔 𝐓𝐡𝐞 𝐈𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: As AI continues to uncover hidden patterns, it has the potential to revolutionize industries, predict future events, and solve complex problems. But with this power comes the responsibility to ask: Are we ready to act on the patterns AI reveals, even if they challenge our existing beliefs? 🌍 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐚 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐞𝐝 𝐖𝐨𝐫𝐥𝐝: In a world where AI can detect patterns in everything, from markets to human behavior, how do we ensure that we use these insights ethically and wisely? What new opportunities and challenges arise when we move from a world of apparent randomness to one of discoverable patterns? AI’s ability to find order in chaos is transforming how we see the world. As we unlock these hidden patterns, it’s crucial to consider how we harness this knowledge for the greater good. 💬 What are your thoughts on AI’s ability to uncover patterns in what seems random? How can we use this power responsibly? hashtag#AI hashtag#PatternRecognition hashtag#Innovation hashtag#Technology hashtag#FutureOfWork hashtag#EthicsInA
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📈 The introduction of generative #AI tools has significantly increased people's attention toward this technology. However, AI is still new to many, leading to a range of attitudes and behaviors. 💡 This thorough article explores how mentioning "AI" in product descriptions can impact consumer decisions, highlighting potential downsides. 📌 My takeaway for fellow #marketing folks: use the word AI wisely. Mesut Çiçek, Dogan Gursoy, & Lu Lu (2024). Adverse impacts of revealing the presence of “Artificial Intelligence (AI)” technology in product and service descriptions on purchase intentions: the mediating role of emotional trust and the moderating role of perceived risk. Journal of Hospitality Marketing and Management, 1–23.
Adverse impacts of revealing the presence of “Artificial Intelligence (AI)” technology in product and service descriptions on purchase intentions: the mediating role of emotional trust and the moderating role of perceived risk
tandfonline.com
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🔍 𝐈𝐧 𝐀𝐈’𝐬 𝐖𝐨𝐫𝐥𝐝, 𝐓𝐡𝐞𝐫𝐞’𝐬 𝐍𝐨 𝐒𝐮𝐜𝐡 𝐓𝐡𝐢𝐧𝐠 𝐚𝐬 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬—𝐎𝐧𝐥𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐖𝐞’𝐯𝐞 𝐘𝐞𝐭 𝐭𝐨 𝐒𝐞𝐞. In the realm of AI, what might seem random or chaotic to us is often just a complex pattern waiting to be uncovered. In AI’s world, there’s no such thing as randomness—only patterns we’ve yet to see. 🤖 𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧: AI excels at analyzing vast amounts of data and identifying patterns that are invisible to the human eye. What we might perceive as random noise, AI can decipher into meaningful trends and insights. ⚖️ 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬: The more we rely on AI to understand the world, the more we realize that what we once considered random might actually be predictable—if only we had the right tools to see it. How does this shift our perspective on decision-making and uncertainty? 🤔 𝐓𝐡𝐞 𝐈𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: As AI continues to uncover hidden patterns, it has the potential to revolutionize industries, predict future events, and solve complex problems. But with this power comes the responsibility to ask: Are we ready to act on the patterns AI reveals, even if they challenge our existing beliefs? 🌍 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐚 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐞𝐝 𝐖𝐨𝐫𝐥𝐝: In a world where AI can detect patterns in everything, from markets to human behavior, how do we ensure that we use these insights ethically and wisely? What new opportunities and challenges arise when we move from a world of apparent randomness to one of discoverable patterns? AI’s ability to find order in chaos is transforming how we see the world. As we unlock these hidden patterns, it’s crucial to consider how we harness this knowledge for the greater good. 💬 What are your thoughts on AI’s ability to uncover patterns in what seems random? How can we use this power responsibly? hashtag#AI hashtag#PatternRecognition hashtag#Innovation hashtag#Technology hashtag#FutureOfWork hashtag#EthicsInAI
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🔍 𝐈𝐧 𝐀𝐈’𝐬 𝐖𝐨𝐫𝐥𝐝, 𝐓𝐡𝐞𝐫𝐞’𝐬 𝐍𝐨 𝐒𝐮𝐜𝐡 𝐓𝐡𝐢𝐧𝐠 𝐚𝐬 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬—𝐎𝐧𝐥𝐲 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐖𝐞’𝐯𝐞 𝐘𝐞𝐭 𝐭𝐨 𝐒𝐞𝐞. In the realm of AI, what might seem random or chaotic to us is often just a complex pattern waiting to be uncovered. In AI’s world, there’s no such thing as randomness—only patterns we’ve yet to see. 🤖 𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧: AI excels at analyzing vast amounts of data and identifying patterns that are invisible to the human eye. What we might perceive as random noise, AI can decipher into meaningful trends and insights. ⚖️ 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐑𝐚𝐧𝐝𝐨𝐦𝐧𝐞𝐬𝐬: The more we rely on AI to understand the world, the more we realize that what we once considered random might actually be predictable—if only we had the right tools to see it. How does this shift our perspective on decision-making and uncertainty? 🤔 𝐓𝐡𝐞 𝐈𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: As AI continues to uncover hidden patterns, it has the potential to revolutionize industries, predict future events, and solve complex problems. But with this power comes the responsibility to ask: Are we ready to act on the patterns AI reveals, even if they challenge our existing beliefs? 🌍 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐚 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐞𝐝 𝐖𝐨𝐫𝐥𝐝: In a world where AI can detect patterns in everything, from markets to human behavior, how do we ensure that we use these insights ethically and wisely? What new opportunities and challenges arise when we move from a world of apparent randomness to one of discoverable patterns? AI’s ability to find order in chaos is transforming how we see the world. As we unlock these hidden patterns, it’s crucial to consider how we harness this knowledge for the greater good. 💬 What are your thoughts on AI’s ability to uncover patterns in what seems random? How can we use this power responsibly? hashtag#AI hashtag#PatternRecognition hashtag#Innovation hashtag#Technology hashtag#FutureOfWork hashtag#EthicsInAI
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