The AI Marketing Newsletter #27

The AI Marketing Newsletter #27


This week: The latest news on ethics, strategy and AI images




ByteDance Unveils OmniHuman: AI That Brings Images to Life


ByteDance, the parent company of TikTok, unveiled OmniHuman, an advanced AI model capable of generating highly realistic human videos from a single image. Demonstrations included bringing historical figures like Albert Einstein to life and showcasing the model's ability to produce lifelike gestures and speech. OmniHuman excels in generating realistic human videos based on minimal inputs.


What does this mean for marketing?

This is one for the creative department to experiment with, but making a personalised video for a customer that stars the customer seems like a starting point.




AI Ethics and Marketing: A Game-Changer in Google's Latest Report


With new frontier AI companies racing to release new models every week, it can feel like safety and ethics have been run off the road. ?

The good news is that Google just released its 2024 Responsible AI Progress Report, detailing advancements in AI governance, risk management, and safety protocols.?

The report highlights the company's efforts to build governance structures for AI product launches, publish over 300 research papers on responsibility and safety topics, and update responsible AI policies and frameworks. Additionally, Google has updated its Frontier Safety Framework to address potential risks associated with powerful AI models, emphasising collaboration with experts across various sectors to enhance understanding and mitigation of these risks.

Also in the same week, Microsoft AI CEO Mustafa Suleyman announced a new cross-disciplinary research unit to study AI's societal impact, consisting of economists, psychologists, and others.

This all happened the week the European Union began enforcing a ban on AI systems deemed to pose "unacceptable risk" under the AI Act. This legislation prohibits AI applications, considered a clear threat to individuals' safety, livelihoods, and rights. Examples of banned practices include AI systems that manipulate human behaviour, exploit vulnerabilities of specific groups, or conduct social scoring.


What does this mean for marketing?

Expect a doubling down on governance from all the frontier AI brands as the need to demonstrate responsible innovation comes into focus. This move is essential to build consumer trust, enabling marketing to explore and safely deploy AI-driven solutions.

If you are in the business of creating or deploying customer-facing AI solutions, then Article 5: Prohibited AI Practices is essential reading.




Real-Time AI Translation: The Game-Changer for Multilingual Marketing


Meta unveiled SEAMLESSM4T, an advanced AI model capable of translating speech and text across 101 languages. SEAMLESSM4T supports various translation modes, including speech-to-speech, speech-to-text, text-to-text, and text-to-speech, facilitating real-time, seamless communication.?

Meta has made the model and its associated data publicly available for non-commercial use, aiming to foster further research and development in multilingual AI applications.

technologyreview.com


What does this mean for marketing?

If you regularly translate assets for local markets, then SEAMLESSM4T is worth exploring.




Snapchat AI images in 1.4 seconds


Snapchat has just announced a groundbreaking AI text-to-image model for mobile devices. It can generate high-resolution images in approximately 1.4 seconds on an iPhone 16 Pro Max, operating entirely on-device to reduce computational costs and enhance user privacy. Snap plans to integrate this technology into upcoming features like AI Snaps and AI Bitmoji Backgrounds, aiming to provide users with fast, high-quality AI tools at a lower operating cost.


What does this mean for marketing?

Snapchat is leading the way, and you can expect other social platforms to follow. How you engage with audiences visually on social media will need to be richer to stand out. ?




Deloitte's Report Unveils the State of GenAI in Business


Deloitte's "State of Generative AI in the Enterprise" report, based on insights from over 2,700 business leaders worldwide, reveals a shift from early excitement to practical implementation of GenAI.?Companies are now focusing on achieving measurable business value and competitive advantage.

Key findings include:

  • Over two-thirds of respondents indicated that 30% or fewer of their current GenAI experiments will be fully scaled in the next 3-6 months.
  • 40% of organisations reported they are already achieving their expected improved efficiency and productivity benefits.
  • 46% reported success in achieving "new ideas and insights".
  • 45% reported success regarding "innovation and growth".
  • Regulatory compliance has emerged as the top barrier holding organisations from developing and deploying GenAI tools and applications.


What does this mean for marketing?

It's time for marketers to move beyond the AI hype and focus on practical, high-value applications that demonstrate ROI.




AI Reshaping Strategy?


McKinsey’s latest article explores how AI is revolutionising corporate strategy by enhancing analysis, insight generation, and decision-making while reducing human bias. The article outlines five key roles AI can play in strategy development:

  • Researcher – Gathering and synthesising information efficiently.
  • Interpreter – Making sense of complex data patterns.
  • Thought Partner – Offering fresh perspectives and alternative solutions.
  • Simulator – Modelling different strategic scenarios.
  • Communicator – Helping to articulate and present strategic plans effectively.

However, the report stresses that proprietary data, strategic processes, and human oversight are essential to avoiding generic AI-generated strategies.?


What does this mean for marketing?

If you work in strategy, then the report is worth reading. The report was written for corporations, but the thinking and ideas definitely translate.




And finally,

Recent developments indicate that quantum computing is beginning to demonstrate advantages in artificial intelligence applications. Quantum-powered AI has shown superior performance in tasks such as image classification and combinatorial reasoning optimisation for chatbots.

Google described (you may want to sit down before continuing) how it ran a quantum algorithm that a supercomputer cannot reproduce unless it runs for a time longer than the life of the universe. I kid you not!



Download my free guide, AI for B2B Marketing Leaders, here



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