Fractional Exec

Google's new AI models can identify emotions. Sounds promising, doesn't it? However, experts are raising red flags about this development. Here's why this is concerning: Emotional detection through AI is filled with complexities and potential for misuse. Sandra Wachter, a professor of data ethics and AI, has likened this technology's assumptions to using a Magic 8 Ball for advice. It's potentially misleading, suggesting we can read emotions with simple algorithms. Moreover, Heidy Khlaaf from the AI Now Institute warns against the pitfalls for marginalized groups. Emotions are heavily influenced by personal and cultural contexts. This is something AI isn’t equipped to grasp yet. This same sentiment is echoed by Mike Cook, a research fellow who emphasized the inherent biases and unreliable nature of such technology. In the European Union, the AI Act explicitly prohibits emotion detection in areas like education and workplaces, highlighting these regulatory concerns. So, instead of relying on AI for emotion detection, we should consider its ethical implications and limitations seriously. What do you think about AI’s role in interpreting emotions? Let's discuss in the comments below! I'm @Stephane Metral i create digital twins employees that delivers 560'000 minutes of work yearly instead of 120'000 for their human counterpart doing the exact same workflows with Computing Technologies. Hit the 🔔 icon on my profile and get regular updates. #AIandEthics #EmotionDetection #AIRegulation #TechForGood #EthicalAI

𝗔 𝗦𝗵𝗶𝗳𝘁 𝗶𝗻 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗟𝗮𝗻𝗱𝘀𝗰𝗮𝗽𝗲𝘀: 𝗖𝗮𝗻𝗮𝗱𝗶𝗮𝗻 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗟𝗮𝘄 𝗘𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻 After decades, Canadian content laws may soon affect digital platforms like YouTube and TikTok. Previously, TV and radio adhered to showcasing Canadian content, leaving digital platforms largely global-focused. But with anticipated legislation, these platforms will prioritize Canadian content. This transformation might impact global visibility for Canadian creators. 𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱? - Lawmakers push to expand current content laws to digital platforms. - Concerns from creators about reduced reach and income. - Industry split: traditional media supports, while digital creators resist. - Platforms argue for flexible Canadian content definitions. Canadian creator Kim Mitchell spoke, "Our voices thrive globally under current algorithms." Platforms like Netflix and YouTube foresee challenges with cross-border content definitions. Navigating such laws requires balancing innovation with regulation. 𝗧𝗵𝗲 𝗹𝗲𝘀𝘀𝗼𝗻? Adaptability is key. Canadian creators may need new strategies to maintain global presence. To stay ahead of your fellow #contentcreators in the Canada and United States follow @connects you #CanadianContent #DigitalPlatforms #ContentLaw #CreativityUnderRegulation #GlobalCreators

In collaboration with Connects You , Connects You France Connects You United Kingdom Connects You Espana and Connects You Italia - Balzac, SATO, BECK.... MAS AI LLMs - How does AI analyze reader preferences and feedback? AI analyzes reader preferences and feedback through several sophisticated methods: Data Collection and Processing AI collects data from various sources, including: 🆒 Social media platforms 🆒 Online forums and discussions 🆒 Book reviews and ratings 🆒 Purchase history 🆒 Browsing behavior 🆒 Email interactions 🆒 Customer support tickets This data is then cleaned and prepared for analysis using machine learning algorithms. 🧮 Pattern Recognition and Analysis AI employs advanced techniques to analyze the collected data: 1. Natural Language Processing (NLP): AI uses NLP to understand and interpret text-based feedback, determining sentiment and extracting key themes from reviews, social media posts, and support tickets. 2. Sentiment Analysis: AI categorizes feedback as positive, negative, or neutral, providing insights into overall reader satisfaction. 3. Topic Modeling: AI identifies common themes and topics within reader feedback, helping to uncover trends and areas of interest. 4. Behavioral Segmentation: AI examines reader behaviors and preferences through browsing patterns, purchase history, and engagement metrics. 5. Psychographic Profiling: Advanced models deduce personality traits, values, and attitudes from data, offering insights into reader motivations and decision-making processes. 6. Predictive Modeling and Personalization AI uses the analyzed data to make predictions and personalize experiences: 7. Predictive Analytics: AI forecasts future reader behavior based on historical data, anticipating needs and preferences1. 8. Recommendation Engines: AI suggests books or content based on a reader's past behavior and preferences, similar to how Netflix recommends movies. 9. Personalized Content: AI tailors email campaigns, newsletters, and even book descriptions to align with individual reader interests. 10. Dynamic Pricing: AI adjusts prices based on reader behavior and market trends to optimize sales and engagement. 🧮 Continuous Learning and Adaptation AI systems continuously update their models as new data becomes available, ensuring that insights remain current and relevant to changing reader preferences and market trends. By leveraging these AI-powered techniques, authors and publishers can gain deep insights into reader preferences, tailor their content and marketing strategies, and ultimately create more engaging and successful books. Follow Fractional Exec , you might be a non-technical CEO but you have great ideas potential. So let's talk or try harder with #chatgpt...

The moment you're in #consulting, staying ahead of the curve is not just beneficial—it’s essential. As November 2024 progresses, one trend dominates: leveraging #AI and #technology in consulting. This trend is capturing the spotlight as consultants seek to innovate and enhance their offerings with cutting-edge solutions. AI and digital transformation are revolutionizing the consulting industry. By incorporating AI, consultants can streamline operations, deliver personalized client services, and enhance decision-making processes. This shift not only boosts efficiency but also positions consultants as innovative leaders tackling modern challenges. Here is a guide if you consider building an AI powered consulting practice with our help.

Leveraging AI in Consulting: The Game-Changer for Modern Consultants The moment you're in consulting, staying ahead of the curve is not just beneficial—it’s essential. As November 2024 progresses, one trend dominates: leveraging AI and technology in consulting. This trend is capturing the spotlight as consultants seek to innovate and enhance their offerings with cutting-edge solutions. AI and digital transformation are revolutionizing the consulting industry. By incorporating AI, consultants can streamline operations, deliver personalized client services, and enhance decision-making processes. This shift not only boosts efficiency but also positions consultants as innovative leaders tackling modern challenges. Enhancing Client Interactions Today's clients demand more than traditional methods; they seek speed, accuracy, and insights powered by AI. By adopting these tools, consultants can offer tailored solutions that meet client needs, fostering stronger relationships and driving superior outcomes. Practical AI Applications - Streamlined Operations: Automate routine tasks, allowing focus on strategic decision-making. - Enhanced Insights: Leverage machine learning for deeper market and client insights. - Personalized Services: Tailor strategies to client needs for impactful services. Case Studies and Success Stories Exploring real-world AI applications can inspire consultants. Case studies reveal how AI transforms practices, showcasing benefits like increased efficiency and client satisfaction. Consultants eager to explore this trend should follow Fractional Exec on #LinkedIn. it offers updates on AI innovations and digital strategies, empowering consultants to harness AI’s full potential in a competitive landscape. Integrating AI into consulting is essential for relevance and success. Embrace the change, explore new possibilities, and connect with leaders like Fractional Exec . ✅ Transform your consulting practice with AI insights and solutions today. Follow Fractional Exec and step into the future of consulting. We build hypercustomized solutions. What's the AI you are looking for, which consulting discipline are you in, what type of clients are you helping (if you say everyone it just mean you are helping no one in the end) , what's your service framework and the current technologies (soon obsolete) you are using to achieve your UVP. Hit the 🔔 icon on Stephane M. profile , DM for your business analysis.

Maintaining a consistent brand identity across all platforms—digital and traditional—helps build a recognizable brand. You might have not met Chris Fulmer (PCM®) yet , well you should. Here are some practical strategies and tips to help you achieve brand consistency: https://lnkd.in/gvYje3ra Guiding you across Branding Operations, brand messaging, Brand alignment and brand audits Chris supports you, all along your journey. Oh, one thing left ◀️ if you're naturally curious 🤨 Hit the 🔔 icon on his profile ☺️ #linkedin will grant you immediate notifications about one of their Top Voice contributing to your value.

this never gets old...

Glad to support Connects You France as well with their endeavors!!! Congratulations for the lauch! https://lnkd.in/gKji6dtK . Welcome to the era of multilingual #artficialintelligence .

Social Selling Index as a Marketing Tactic😱🥴🫥Yes, the Social Selling Index (SSI) can be an effective marketing tactic to sell other LinkedIn products. Here's why 🚸 Proof of Concept: A high SSI score is directly correlated with increased sales opportunities and revenue. By showcasing the success of high-performing SSI users, LinkedIn can effectively demonstrate the value of its platform for sales professionals. 🚸 Incentivization: LinkedIn can offer premium features or exclusive content to users with high SSI scores, encouraging them to invest in additional LinkedIn products to further enhance their performance. 🚸Data-Driven Marketing: By analyzing SSI data, LinkedIn can identify specific user segments and tailor marketing messages accordingly. For example, users with a low SSI score in "Building Relationships" might be targeted with LinkedIn Sales Navigator to help them expand their network. 🚸 Brand Building: Promoting the importance of SSI helps reinforce LinkedIn's position as a leading platform for professional networking and sales. However, it's essential to maintain a balance. While SSI is a powerful tool, it should not be the sole focus of LinkedIn's marketing efforts. The platform should continue to emphasize its overall value proposition for professionals and businesses. Would you like to explore specific strategies for leveraging #SSI in #LinkedIn's #marketing campaigns?

Those freshers need experience 🔅👀right? You are putting out new digital stuff on the market. Do you delegate the overload? How?