Copy of MarTech AI #48: YouTube Shorts AI integration, Microsoft Copilot Pages, Snap AR glasses, LinkedIn data scraping and FTC on AI data control...

Welcome to MarTech AI #48 (16th - 21st September)

Welcome to this week's MarTech AI roundup. Discover how YouTube Shorts integrates Google's AI video model, Microsoft launches Copilot Pages for collaborative AI, Snap unveils new AR glasses for developers, LinkedIn faces scrutiny over user data scraping for AI training, and the FTC highlights lack of user control over AI data on major platforms. Let's dive in!

TL;DR:

→ Snap unveils new AR glasses for developers

→ YouTube Shorts to integrate Google's AI video model

→ Microsoft launches Copilot Pages for collaborative AI

→ LinkedIn faces scrutiny over user data scraping for AI training

→ FTC report highlights lack of user control over AI-used social media data

YouTube Shorts to integrate Google's AI video model

Publisher: TechCrunch (18/09/2024)

Overview: YouTube announces integration of Google DeepMind's Veo AI video model into Shorts, enhancing creator capabilities for background generation and short clips.

Key Points:

1. Veo can create 1080p video clips in various cinematic styles, competing with models like OpenAI's Sora and Runway.
2. The integration allows creators to generate 6-second standalone video clips and high-quality backgrounds for Shorts.
3. YouTube is expanding features like automatic dubbing, Community hubs, and AI-assisted brainstorming tools for creators.

Marketer's POV: This integration signifies a major shift in content creation, potentially democratizing high-quality video production.

Microsoft launches Copilot Pages

Publisher: The Verge (16/09/2024)

Overview: Microsoft introduces Copilot Pages, enabling multiple users to collaborate on AI-generated content in real-time.

Key Points:

1. Copilot Pages allows teams to work together on AI-generated documents, presentations, and other content simultaneously.
2. The feature integrates with Microsoft 365 apps, streamlining workflow and content creation processes.
3. AI-powered suggestions and edits can be reviewed and approved by team members in real-time.

Marketer's POV: Copilot Pages could change collaborative content creation, enabling marketing teams to rapidly produce and refine AI-generated materials, potentially accelerating campaign development and execution.

Snap's new AR glasses for developers

Publisher: The Verge (17/09/2024)

Overview: Snap releases new AR-enabled Spectacles, focusing on developer applications and pushing the boundaries of augmented reality experiences.

Key Points:

1. The new Spectacles feature improved display technology and a wider field of view for more immersive AR experiences.
2. Snap is targeting developers to create innovative AR applications, potentially opening new avenues for marketing and user engagement.
3. The company aims to lead in AR technology, positioning itself as a key player in the future of immersive digital experiences.

Marketer's POV: Snap's AR push presents exciting opportunities for marketers to create immersive, location-based campaigns and experiences.

LinkedIn's data scraping for AI training

Publisher: TechCrunch (18/09/2024)

Overview: LinkedIn's practice of scraping user data for AI model training raises concerns about data privacy and user consent.

Key Points:

1. LinkedIn used user data to train AI models without initially updating its terms of service or privacy policy.
2. The platform now offers an opt-out toggle for users in certain regions, excluding EU, EEA, and Switzerland due to stricter data privacy rules.
3. The incident highlights the growing trend of platforms repurposing user-generated content for AI training and monetization.

Marketer's POV: This situation underscores the importance of transparent data practices in marketing, emphasizing the need for clear communication with users about how their data is utilized.

FTC highlights lack of user control over AI data

Publisher: Reuters (19/09/2024)

Overview: The U.S. Federal Trade Commission reports that social media users have limited control over their data used in AI systems.

Key Points:

1. The FTC's report emphasizes the lack of transparency in how user data is collected and used for AI training by platforms like Meta, TikTok, and Amazon's Twitch.
2. Social media companies are criticized for not providing adequate opt-out mechanisms or clear information about data usage, affecting billions of users.
3. The findings may lead to increased regulatory scrutiny and potential policy changes in the AI and social media sectors, impacting how companies manage vast amounts of personal data.

Marketer's POV: This report signals a potential shift towards stricter data regulations, prompting marketers to reassess their data collection and AI implementation strategies to ensure compliance and maintain consumer trust.

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That's all for this week. Stay tuned for more updates next week.

Warm regards,

Charlie Hills

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