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Good morning, aspiring leaders of the next-gen! ☀️

🚀 Here’s what’s going on today in the AI space…

Elon Musk's AI company has successfully raised $6 billion, showcasing robust investor confidence and the anticipated high impact of its AI projects on technology and market dynamics.

Perplexity AI is enhancing its search engine capabilities with a new feature that allows users to turn their searches into shareable pages, promoting greater interaction and information dissemination among users.

The Autobiographer app is leveraging AI to help users document their life stories, offering a novel tool for preserving personal histories with ease and creativity.

In the manufacturing sector, the AI startup scene is flourishing, as evidenced by Switzerland's EthonAI raising $16.5 million. This funding highlights the growing investor interest in AI-driven manufacturing solutions.

OpenAI has taken measures to block AI-driven misinformation campaigns during the Indian elections, reflecting its commitment to combating the misuse of AI technologies in critical areas like democratic processes.

OpenAI also launched ChatGPT Edu, a new initiative designed to bring customized AI tools to college campuses, aiming to enhance educational experiences and foster innovation in academic settings.

These stories illustrate a dynamic day in the world of AI, with advancements and applications that span from personal storytelling tools to strategic measures ensuring the ethical use of AI technologies.

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⬆️ ️ Trends: Real-life Examples of How Businesses Implement AI ⬆️ ️

Artificial intelligence (AI) is transforming advertising by generating ad creative, optimizing budgets, and predicting campaign performance. AI scales ad creative instantly and analyzes competitors' strategies.

AI's Role in Modern Advertising

Nearly every online ad relies on AI for real-time placement and targeting. Platforms like Google Ads and Meta Ads use AI to manage ads, determining who sees them and how much they cost. For example, Meta's AI sets ad prices and display rates on Facebook and Instagram based on ad frequency and relevancy.

Challenges and Opportunities

AI platforms allow thousands of ad variations targeting micro-segmented audiences. However, human professionals struggle to keep up with the data and create numerous variations quickly, often resulting in underperforming campaigns. AI tools can help by generating creative assets, micro-targeting audiences, scaling campaigns, and even running them autonomously.

Understanding AI for Advertising

AI enables machines to perform tasks like reading, writing, seeing, and understanding language. It learns from data, detects patterns, and makes predictions, improving over time. This capability gives advertisers a competitive edge.

Why You Need AI in Advertising

AI is crucial for modern programmatic advertising, reaching consumers across multiple platforms with targeted ads. While humans excel in creativity, AI handles data analysis and manages numerous ad variations. AI helps advertisers:

• Allocate and adjust budgets

• Find new audiences

• Build richer profiles

• Gain insights into competitors

• Create and manage ad content

• Personalize messages and targeting

• Predict ad performance

Top Use Cases for AI in Advertising

1. Programmatic Ads

AI manages real-time ad buying and placement.

2. Budget and Performance Optimization

AI analyzes performance and recommends improvements, automating optimization tasks.

3. Ad Creation and Management

AI tools generate ad variations and create effective ad copy.

4. Image and Video Generation

AI produces high-quality visuals for ads.

5. Personalized Advertising

AI adjusts ad content to resonate with different audiences.

6. Predicting Ad Effectiveness

AI predicts ad success before launch.

7. Creative and Messaging Tests

AI enables robust testing of ad variations at scale.

8. Competitor Analysis

AI analyzes competitors' ad strategies.

Real-World Examples

HOLT CAT

HOLT CAT used AI to attract talent, reducing cost per hire by 20% and hiring 270 new employees influenced by the ads.

Vanguard

Vanguard used AI to personalize LinkedIn ads, boosting conversion rates by 15%.

RedBalloon

RedBalloon achieved a 3,000% return on ad spend and reduced marketing costs by 25% using AI.

Top AI Advertising Tools

Persado

Personalizes ad content to boost conversion rates.

Emotiva

Measures emotional responses to ads.

Pathmatics

Provides insights into ad performance and competitor strategies.

Omneky

Generates personalized ad content at scale.

Celtra

Automates ad variation generation.

OneScreen

Optimizes out-of-home ad delivery.

GumGum

Places ads in the most visible spots using computer vision.

AiAdvertising

Maximizes ROI with AI-powered strategies and tools.

Leveraging AI enhances advertising productivity, efficiency, and effectiveness, keeping advertisers competitive in the digital landscape.

🛸 Let’s Teleport in The Future 🛸

Machine Learning

The current surge in artificial intelligence began when Krizhevsky et al. (2012) showed that an artificial neural network from twenty years earlier (LeCun et al., 1989) could surpass complex state-of-the-art image recognition methods by being a hundred times larger and trained on a similarly scaled dataset. This achievement was enabled by Graphical Processing Units (GPUs), consumer-grade devices originally developed for real-time image synthesis, and repurposed for neural network training.

Since then, deep learning has seen innovations in network structures, training strategies, and dedicated hardware, leading to exponential growth in both network size and the amount of training data used (Sevilla et al., 2022). This progress has driven successful applications across various fields, including computer vision, robotics, and speech processing. Since 2020, it has also spurred the development of Large Language Models with general proto-reasoning abilities (Chowdhery et al., 2022).

Though not inherently difficult to grasp, deep learning integrates diverse components like linear algebra, calculus, probabilities, optimization, signal processing, programming, algorithmics, and high-performance computing, making learning complex.

Deep learning is poised to revolutionize various fields in the near future, impacting us in several ways:

1. Healthcare: Enhanced diagnostic tools, personalized medicine, and predictive analytics will improve patient outcomes and streamline healthcare delivery.

2. Autonomous Vehicles: Advanced perception systems for safer and more efficient self-driving cars will transform transportation.

3. Natural Language Processing: More sophisticated virtual assistants and real-time language translation will improve communication and productivity.

4. Finance: Improved fraud detection, algorithmic trading, and personalized financial advice will enhance security and investment strategies.

5. Retail: Personalized shopping experiences and inventory management will optimize consumer satisfaction and operational efficiency.

⚡ ChatGPT Prompting ⚡

Unique selling onboarding presentation:

Please create a sales presentation outline that
covers:
1.{Your Company's} mission statement:
2.{Your Company's} target customer:
The benefits of {Your Product(s) or
Service(s)}:

Company mission statement details:

Product(s) or service(s) to highlight:

Benefits or unique selling points (USPs):

Preferred outline format or structure:

Industry or competitive factors to consider:

Relevant statistics or data to include:

Presentation goals or objectives:

Preferred tone or style:

Visual elements or multimedia (if any):

Key messages or takeaways:

⚡ Hands-on: How to Supercharge with AI Tools ⚡

Work smarter, not harder!

I hope you find these resources helpful. Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.

Have an amazing day!

No more playing catch-up. It's time to GET AHEAD!!! 🚀🚀🚀

🙌🏼

Elena

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