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🚨 A Controversial Shift: TikTok Introduces External Ads 🚨 As TikTok rolls out external ads that interrupt video content, it raises a crucial question: Are we ready for more ads in our feeds? 🤔 While brands may rejoice at the opportunity to reach TikTok’s vast audience, many users are likely to feel the frustration that often accompanies ad interruptions. Let’s take a closer look at the potential drawbacks of this new advertising model: 📉 User Experience Takes a Hit Disruption of Content: Users come to TikTok for authentic, entertaining content. Interrupting their viewing experience with external ads can lead to dissatisfaction and may drive users away. Ad Fatigue: As users become inundated with ads, their tolerance for marketing messages diminishes. Just look at Amazon Prime Video, which introduced ads, prompting many subscribers to question the value of their membership. As a response, they had to roll out an ad-free tier for an additional cost. Will TikTok follow suit? 😟 User Backlash Negative Reception: Users generally dislike ads. The more intrusive they become, the greater the likelihood of backlash against the platform. This could lead to decreased engagement and user retention in the long run. Potential for Alienation: Users who initially embraced TikTok for its unique, organic content might feel alienated as ads start to dominate their experience. 💔 Brand Impact Trust Erosion: When ads become too frequent or disruptive, it can erode trust in both the platform and the brands that use it. Brands must tread carefully to ensure their messaging aligns with the user experience. As TikTok navigates this new advertising landscape, it’s essential to consider whether the trade-off of increased ad exposure is worth the potential damage to user experience and brand loyalty. 👉 What are your thoughts on TikTok’s new external ads? Do you think it’s a step in the wrong direction? Let’s discuss in the comments! #TikTok #Advertising #UserExperience #DigitalMarketing #AdFatigue #SocialMediaTrends

Recently we have seen more and more "recruiters" and "gurus" sending out guides or offering jobs with a very worrying phrase "comment your email and I'll get in touch" Chatgpt - how would i collect all individual comments from a linkedin post and then create a list of emails from the comments containing an email address, give me a full python script for this. Few simple lines, that's all it takes to extract desired information and create a database of active emails in any niche desired, SO please be careful. #AI #recruiters

The new generation of HR? To many a nightmare, as indicated in comments : “The HR department after laying off most the engineering team.” And “I’m so glad I don’t work a corporate job” Whilst HR records tiktoks, AI offers numerous tools for business processes! Could these replace the need of HR or heavily decrease numbers of office tiktoks? AI in HR: Free vs. Paid 🚀 o Free: HireVue for video interview analysis. o Paid: Pymetrics for AI-driven hiring assessments. o Pros and Cons: HireVue helps with initial interview screenings, while Pymetrics uses neuroscience-based games to better assess candidate fit. #AI #HR #tiktok #automation

Automated Data Entry: Free vs. Paid 🚀 Free: Tesseract OCR for optical character recognition. Paid: ABBYY FlexiCapture for advanced data capture and processing. Pros and Cons: Tesseract is a good starting point for basic OCR needs, but ABBYY FlexiCapture provides more robust and accurate data processing. #AI #Automation #Free #Data

AI for Image Recognition: Free vs. Paid 🚀 Free: Google Vision API for basic image recognition. Paid: Clarifai for extensive image and video recognition. Pros and Cons: Google Vision API is accessible for simple tasks, while Clarifai offers more detailed and customizable recognition solutions.

AI for Financial Forecasting: Free vs. Paid 🚀 Free: Prophet by Facebook for time-series forecasting. Paid: Oracle Analytics Cloud for advanced predictive analytics. Pros and Cons: Prophet is easy to use for basic forecasting, but Oracle Analytics Cloud provides more sophisticated analytics capabilities.

AI in Marketing Automation: Free vs. Paid 🚀 Free: HubSpot's Free CRM for basic marketing automation. Paid: Marketo for comprehensive marketing strategies. Pros and Cons: HubSpot is user-friendly and great for small businesses, whereas Marketo offers extensive features for larger organizations.

AI for Data Analysis: Free vs. Paid 🚀 Free: Google Colab for data analysis and model training. Paid: Databricks for enterprise-level data engineering. Pros and Cons: Google Colab is ideal for small-scale projects and experimentation, while Databricks provides powerful tools for large-scale data processing.

AI-Powered Customer Support: Free vs. Paid 🚀 Free: Dialogflow for building chatbots. Paid: LivePerson for more advanced, customizable chatbots. Pros and Cons: Dialogflow is great for quick setup and basic functionalities, while LivePerson offers more robust features but at a cost.

Choosing the Best Crypto Exchange: What AI Analysis Reveals 🚀 In the dynamic world of cryptocurrencies, selecting the right exchange is crucial for optimizing your trading experience. Based on thorough AI analysis, here’s a summary of top exchanges: ⭐ Binance: AI analysis indicates it's the best overall, offering comprehensive services, low fees, and a wide range of features. ⭐Coinbase: Ideal for beginners with its user-friendly interface and strong security measures. ⭐Kraken Digital Asset Exchange: Known for low fees, advanced options, and robust security protocols. ⭐Crypto.com: Offers a variety of financial services and competitive fee structures. ⭐KuCoin Exchange: Noted for its extensive altcoin selection and competitive trading fees. #Crypto #Blockchain #FinTech #DigitalAssets #CryptoExchanges #Binance #Coinbase #Kraken #CryptoUtility