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

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

Bolster, the company behind the CheckPhish phishing tracker, has secured $14M in funding led by Microsoft's venture fund M12. This investment will support Bolster's continued development of cybersecurity solutions that detect and mitigate phishing threats effectively.

TikTok is leveraging generative AI to enhance its advertising business, aiming to create more personalized and effective ad content that resonates with its vast user base. This move reflects the platform's strategy to integrate advanced technology to boost ad performance and revenue.

Truecaller is partnering with Microsoft to enable its AI to respond to calls using the user’s own voice, enhancing communication efficiency and personalization. This innovative feature is set to redefine how users manage incoming calls.

Orca AI, an autonomous shipping startup, has raised an additional $23M in a round led by OCV Partners and MizMaa Ventures. The funding will help Orca AI further develop its technology aimed at improving safety and efficiency in the maritime industry.

In China, the development of a state-sanctioned chatbot ensures that it aligns with governmental standards and ideologies, highlighting the unique intersection of AI technology with national policies and cultural norms.

Overall, these developments reflect big tech’s movements and increased AI spending globally, indicating a robust and diverse growth trajectory for AI applications across various industries and regions.

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"Success is not final, failure is not fatal: it is the courage to continue that count." — Winston Churchill

Winston Churchill was a British statesman, orator, and author who as prime minister (1940–45, 1951–55) rallied the British people during World War II and led his country from the brink of defeat to victory.

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

Here's how AI is transforming advertising: AI enhances targeting and personalization, enabling advertisers to deliver highly relevant ads to individual consumers based on their preferences and behaviors. It optimizes ad spending through predictive analytics, ensuring the best return on investment by determining the most effective channels and times for ad placement. Additionally, AI automates content creation, generating dynamic and engaging ads that resonate with diverse audiences, improving engagement and conversion rates.

Artificial intelligence (AI), including generative AI, is revolutionizing advertising by generating ad creative, optimizing budgets, and predicting campaign performance. AI enables rapid scaling of ad creative and provides insights into competitors' strategies. Here’s how AI is transforming the advertising landscape.

How AI Powers Modern Advertising

Almost every online ad uses AI to reach audiences in real-time. Leading platforms like Google Ads and Meta Ads use AI to manage ad placement, targeting, and budgeting, ensuring efficient ad delivery. AI determines who sees your ads and how much you spend, ultimately dictating your campaign's success.

The Challenge and Opportunity

AI-powered platforms offer the ability to run numerous ad variations to micro-segmented audiences. However, human advertisers struggle to keep up with the data and create ad variations quickly. This often leads to underperforming campaigns. The opportunity lies in using AI to handle these tasks, allowing advertisers to focus on strategy and creativity.

Key AI Applications in Advertising

1. Programmatic and Digital Ads
   AI manages real-time ad buying, selling, and placement across digital platforms. Understanding AI's role in ad exchanges and platforms like Facebook and Instagram is crucial for effective ad spending.

2. Optimizing Budget and Performance
   Machine learning algorithms analyze ad performance and offer recommendations for improvement. Advanced AI systems can autonomously manage ad performance and budget optimization.

3. Creating and Managing Ads
   AI tools can generate ad copy and creative assets, leveraging natural language processing (NLP) and natural language generation (NLG) to produce high-performing ads quickly.

4. Generating Ad Variations
   AI can automatically create numerous ad variations, saving time and effort. This includes different sizes, formats, and creative elements tailored to various platforms.

5. Personalizing Ads
   AI personalizes ad content based on consumer motivations, tailoring messages to resonate with different audiences and improve engagement.

6. Predicting Ad Effectiveness
   AI predicts ad performance by analyzing vast amounts of campaign data, allowing advertisers to refine their strategies before launching.

7. Running Ad Tests at Scale
   AI facilitates large-scale A/B testing of ad creative and messaging, providing valuable insights to enhance campaign effectiveness.

8. Competitor Analysis
   AI tools offer insights into competitors' ad strategies, including ad types, spending, and performance metrics, giving you a competitive edge.

Real-World Examples of AI in Advertising

1. HOLT CAT
   HOLT CAT used AI to create an ad campaign that attracted talent quickly and effectively, lowering their cost per hire by 20% and hiring 270 new employees influenced by AI-driven ads.

2. Vanguard
   Vanguard used AI to hyper-personalize ads on LinkedIn, boosting conversion rates by 15% through tailored messaging that resonated with their target audience.

3. RedBalloon
   RedBalloon achieved a 3,000% return on ad spend using AI, which managed targeting, testing, and budgets, drastically improving performance and reducing marketing costs by 25%.

Top AI Advertising Tools

1. Persado
   Uses AI to generate hyper-personalized content, boosting ad performance by tailoring messages to different consumer motivations.

2. Emotiva
   Measures attention and response to ads through facial expression analysis, determining which ads are most effective.

3. Pathmatics
   Provides transparency and insight into ad performance across channels and offers competitive intelligence on ad strategies.

4. Omneky
   Generates personalized ad content at scale, targeting different audiences with optimized ads.

5. Celtra
   Automatically generates variations of ad creative for different platforms, saving time on manual ad creation.

6. OneScreen
   Optimizes out-of-home ad delivery and targeting using AI, enhancing ad placement effectiveness.

7. GumGum
   Uses computer vision to learn from web images and videos, helping place ads where they will be most seen.

8. AiAdvertising
   An AI-powered agency that maximizes ROI by combining human expertise with AI tools.

Conclusion

AI is reshaping advertising by enhancing creativity, optimizing performance, and providing deep insights into ad strategies. By leveraging AI, advertisers can achieve more efficient, scalable, and impactful campaigns, ensuring a significant competitive advantage in the digital advertising

🛸 Let’s Teleport in The Future 🛸

Continuing from yesterday’s issue….

AI simulates human intelligence through machines that learn from experience and imitate human thinking. It includes technologies enabling computers to analyze data, understand language, and make recommendations.

We know large language models will continue to dominate, and regulators will grow bolder. AI's issues—bias, copyright, and doomerism—will shape agendas for researchers, regulators, and the public for years. Instead, we've identified specific trends to watch in 2024.

Runway's AI Film Festival and Industry Impact

Runway has launched an annual AI film festival showcasing experimental movies made with AI tools, offering a $60,000 prize pot and screenings in New York and Los Angeles. This initiative has caught the attention of top studios like Paramount and Disney, who are exploring generative AI for various production processes, including lip-syncing actors' performances for foreign-language overdubs and enhancing special effects. For example, "Indiana Jones and the Dial of Destiny" featured a de-aged deepfake Harrison Ford.

Beyond films, deepfake technology is growing in marketing and training. UK-based Synthesia creates tools that turn one-off performances into endless deepfake avatars, used by 44% of Fortune 100 companies. This raises serious concerns for actors, as AI's impact on the industry becomes more apparent. Concerns over AI's use led to SAG-AFTRA strikes, highlighting the changing craft of filmmaking, according to Souki Mehdaoui, co-founder of Bell & Whistle.

AI-Generated Election Disinformation

AI-generated election disinformation and deepfakes are expected to be significant issues in the 2024 elections. Politicians are already weaponizing these tools. In Argentina, presidential candidates created AI-generated images and videos to attack opponents, while in Slovakia, deepfakes spread false claims about a liberal party leader. In the US, Donald Trump has supported a group using AI to generate offensive memes. These examples underscore the potential for AI to disrupt democratic processes.

Challenges of AI-Generated Election Disinformation

The influence of AI-generated disinformation on election outcomes is unclear, but its proliferation is alarming. Identifying real content online is becoming increasingly difficult, which could exacerbate an already polarized political climate with severe consequences.

Generative AI has made creating realistic deepfakes easy and accessible, a task that once required advanced skills. Even reputable sources can be deceived, as seen with AI-generated images of the Israel-Gaza crisis flooding stock image marketplaces like Adobe’s.

The coming year will be crucial for combating such content. Techniques to track and mitigate AI-generated disinformation are still in early development. Watermarks like Google DeepMind’s SynthID are voluntary and not entirely reliable. Social media platforms are also slow to remove misinformation. Prepare for a significant real-time effort to counter AI-generated fake news.

Robots that Multitask

Inspired by generative AI, roboticists are developing general-purpose robots capable of performing a wider range of tasks. Recent AI advancements have shifted from using multiple small models to single, comprehensive models for various tasks. For instance, OpenAI’s GPT-3 can be fine-tuned to solve coding problems, write scripts, and pass exams. Multimodal models like GPT-4 and Google DeepMind’s Gemini can handle both visual and linguistic tasks.

This approach is now being applied to robotics, aiming for versatile robots that can handle multiple tasks, such as flipping pancakes and opening doors, using one model. In 2023, DeepMind released Robocat, which learns to control various robot arms through trial and error. Later, they introduced RT-X, a general-purpose model developed with 33 university labs.

A major challenge is the lack of data. While generative AI benefits from vast internet data, robots lack extensive data for learning industrial or domestic tasks. Lerrel Pinto’s team at New York University is addressing this by developing techniques for robots to generate their own training data through trial and error. Pinto also recruits volunteers to collect video data from their homes using iPhone cameras mounted on trash pickers. Additionally, companies like Meta have released large data sets, such as Ego4D, for robot training.

This approach shows promise, as seen in driverless cars. Startups like Wayve, Waabi, and Ghost are using single large models for vehicle control, enabling them to compete with giants like Cruise and Waymo. Wayve, for example, is testing its driverless cars on London’s busy streets. Similar advancements are expected to boost robots' capabilities across various applications.

⚡ ChatGPT Prompting ⚡

Mentorship prompt.

I want you to mentor me as if you were Steve Jobs. I will provide you with 
context about my current business challenges. I then want to analyze, critique, 
and give constructive feedback on my current business situation to help me make 
the best possible strategic decision. For each response, ask probing and 
clarifying questions to help us settle upon a more effective and personalized 
answer. Do you understand?

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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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