by Csongor Fekete | Jun 14, 2025 | AI, Business, Machine Learning
As artificial intelligence continues to reshape the marketing and advertising landscape, tension is mounting in the creative industries. A recent article by The Guardian explores how agencies and professionals are grappling with automation, fearing a "death of creativity" as generative AI tools grow more capable. While large advertising firms are rapidly adopting AI to generate content and streamline workflows, concerns are rising over job security and the dilution of human creativity.
Key points from the article include:
- Increasing use of AI tools for ad copy, visuals, and strategy is prompting layoffs and restructuring in creative teams.
- Agencies are split: some view AI as an opportunity to enhance performance, others fear it replaces skilled creatives.
- The shift sparks debate on originality and brand identity in algorithm-generated content.
- Advertising insiders emphasize the need for human oversight and ethical boundaries when deploying machine learning models.
For martech-driven businesses and agencies, this raises a crucial use-case opportunity: deploying custom AI models not to replace creativity, but to augment it. A Holistic approach to AI consultancy ensures that Machine Learning models are embedded in a way that supports human talent—optimizing campaign targeting, providing data-driven insights, and reducing rote work, while safeguarding brand tone and strategic vision.
For example, a custom AI model tailored to a retailer’s CRM data can enhance customer segmentation, enabling hyper-personalized marketing that feels genuinely human. This not only boosts performance KPIs but also increases customer satisfaction by delivering content that resonates with individual preferences.
At its core, AI deployment in marketing should not be viewed as a wholesale replacement of creative jobs but as a catalyst for smarter, more efficient brand-building. With guidance from an experienced AI agency, the balance between automation and authentic creativity is not just possible—it’s essential.
Read the original article: The ‘death of creativity’? AI job fears stalk advertising industry – The Guardian
by Csongor Fekete | Jun 14, 2025 | AI, Business, Machine Learning
The recent copyright lawsuit between Getty Images and the London-based AI firm Stability AI is raising critical questions for the AI and martech sectors. At the heart of the case is whether AI companies can legally train Machine Learning models on copyrighted data without explicit permission. Stability AI argues that the legal action, if successful, would not only constrain innovation but also create an “overt threat” to the broader AI industry by limiting access to essential training data.
This legal friction highlights a fundamental challenge facing AI consultancies and AI agencies: how to balance technological advancement with ethical and legal content usage. For companies like HolistiCrm that develop and deploy custom AI models, especially in customer-centric industries such as marketing and customer satisfaction management, this case underlines the necessity of building models using compliant data sources to maintain trust, transparency, and long-term performance.
A practical use-case inspired by this scenario involves HolistiCrm implementing AI-driven marketing personalization engines. By responsibly sourcing data and creating holistic Machine Learning models rooted in transparent data practices, the outcome can be optimized marketing campaigns, improved customer engagement, and enhanced satisfaction—while avoiding legal pitfalls that could erode brand trust.
As enterprises increasingly rely on AI experts to fine-tune Martech tools and decision engines, the importance of model transparency and ethical training material cannot be overstated. This isn't just a legal debate—it's a business continuity issue with real implications for how AI agencies approach model development in 2024 and beyond.
Original article.
by Csongor Fekete | Jun 13, 2025 | AI, Business, Machine Learning
Artificial Intelligence is increasingly central to Europe's technological and economic ambitions, as highlighted during the recent discussions between UK Prime Minister Rishi Sunak and NVIDIA CEO Jensen Huang. In a landmark meeting covered by the NVIDIA Blog, both leaders emphasized the strategic role of AI in driving innovation, enhancing productivity, and shaping future industries across the continent.
The article underscores several key developments:
- The UK is positioning itself as a global AI hub, investing in compute infrastructure and talent.
- NVIDIA’s commitment to Europe includes opening AI research centers and expanding collaborations with universities and industry leaders.
- Ethical AI and safety remain top priorities, with policy deliberations focused on balancing innovation and regulation.
- Custom AI models and next-generation accelerators are seen as vital enablers for sectors such as healthcare, financial services, and climate science.
This sets a compelling use-case for companies in the martech and CRM space. For example, deploying a holistic Machine Learning model trained on customer behavior can significantly boost marketing performance and customer satisfaction. By integrating this intelligence into CRM platforms, such as HolistiCrm, businesses not only optimize campaign targeting but can also anticipate customer needs, personalize messaging, and increase lifetime value.
A custom AI model, supported by an AI consultancy or AI agency, can transform sales pipelines, reduce churn, and enhance decision-making. The strategic vision discussed by leaders like Sunak and Huang signals a strong business case for investing in AI today to stay competitive tomorrow.
Read the original article: https://news.google.com/rss/articles/CBMiX0FVX3lxTE1meW1peVhRaVRKZnNsbDkySDVhX1F6LW5LRlZ6MmlpYkI5RUJDeHdMSjZoNUlhQ0x5MWJLR3gwV0sxNXdBOGZtVWFVNzc1ZllmREE0b18xSGJUNGFoTUM0?oc=5
by Csongor Fekete | Jun 13, 2025 | AI, Business, Machine Learning
The recent article by Queens Daily Eagle highlights an increasingly common trend: the use of AI-generated images in political campaigns. A Queens council candidate appears to have used AI tools to create campaign visuals featuring himself in various community and neighborhood scenes. While the images aren’t misleading in the traditional political sense, their synthetic origin raises questions about ethics, authenticity, and the growing role of AI in public perception management.
Key learnings from the article include the speed and affordability that generative AI offers to candidates and marketers alike, allowing them to create highly tailored visual content without the cost of traditional photo shoots. On the flip side, it sheds light on the gray zone around transparency—should audiences know that what they’re seeing isn’t real photography?
From a business perspective, this trend holds substantial potential value. Custom AI models can be leveraged by marketing teams, social media strategists, and political consultants to accelerate content production, boost performance in engagement metrics, and optimize martech workflows. In a similar use-case, a HolistiCrm customer—such as a local business or public figure—could work with an AI consultancy or AI agency to build custom generative Machine Learning models that reflect brand aesthetics while streamlining asset generation. The result: enhanced customer engagement, improved satisfaction from timely and consistent messaging, and significant reductions in content creation overhead.
Using these tools strategically supports a holistic digital communication approach that balances AI-generated efficiency with a commitment to ethical transparency.
original article: https://news.google.com/rss/articles/CBMitgFBVV95cUxPaFRVQWg1MkFudUhNRHJVc0xNNVBPZm1Mc0pwb0RTbjJ1M2p4ZXN1bTVMZk5oTVZsejV1ZHNtNUp1SmMwd1RQOHo1dS1fQk1nYUR2Z29nbGxwaUNVXzZaOGlOMDhGYTlTWkFiRDRKSVF3TllvdmNid1NGMTRzNy1pTW91MkpuV084azdNM0V6SGZfWmNrSXYwb2FTVFJWdmpaSG8xQ3RqenUwblFHUG9ET1VCbl9HQQ?oc=5
by Csongor Fekete | Jun 12, 2025 | AI, Business, Machine Learning
The United Kingdom is making a bold statement in the AI landscape: it aims to become an AI maker, not just an AI taker. The recent collaboration with NVIDIA to establish a national AI Research Resource underscores this ambition. This initiative brings state-of-the-art infrastructure to UK innovators, empowering them to train and deploy custom AI models at scale.
Key takeaways from the article highlight the massive investment in NVIDIA’s advanced computing technology, including the latest H100 Tensor Core GPUs. These technologies will power everything from foundational machine learning model development to high-performance applications across industries. Importantly, the infrastructure is not limited to academic institutions—it’s designed to facilitate public and private sector innovation alike.
For companies operating in martech and customer experience, this signals an opportunity to leverage holistic AI consultancy services to enhance performance and customer satisfaction. Businesses can now affordably train domain-specific models tailored to their marketing needs—something generic AI tools often fall short of delivering. By developing in-house or partnered custom AI models, organizations can deepen their AI maturity and respond faster to customer insights.
HolistiCrm, for instance, can support businesses aiming to integrate this next-gen AI capacity into actionable solutions. A use-case may involve creating an adaptive Machine Learning model that personalizes marketing messages in real-time, based on customer behavior and sentiment. This can dramatically increase engagement, loyalty, and conversion rates, delivering tangible business value.
The UK’s AI infrastructure push, powered by NVIDIA, sets a high bar for performance-focused innovation and marks a global shift towards sovereign capabilities in AI development.
Read the original article: https://news.google.com/rss/articles/CBMiVkFVX3lxTE9nTU1XaWdBRjBRaE9VcXEwWFpOQi1ieHRkWnFYUlRVTEFycFFUUXRtYzM5WUFUM0tPVXh1VjZzMlNPenpRQklYQ2wtRm5sZEtEWlZGR0hB?oc=5
by Csongor Fekete | Jun 12, 2025 | AI, Business, Machine Learning
Recent research from Apple Machine Learning team, titled “The Illusion of Thinking,” presents a rigorous analysis of reasoning models in AI through the lens of problem complexity. The paper highlights a critical finding: even state-of-the-art models often deliver promising outputs but struggle with deeper reasoning when task complexity escalates. These models can give a perception of understanding (referred to as the "illusion of thinking"), even when actual reasoning capabilities may be minimal or inconsistent.
Key takeaways from the study include:
- Reasoning tasks are not uniform—models may perform well on simple problems but demonstrate significant drop-offs as complexity increases.
- The performance of AI models does not always correlate with actual reasoning—largely due to reliance on pattern recognition over logic-based deduction.
- Creating standardized benchmarks stratified by difficulty is essential for evaluating true reasoning performance in future research.
For marketers and martech leaders working with an AI consultancy or AI agency, these insights serve as a vital guardrail when deploying custom AI models. It underscores the importance of aligning Machine Learning model capabilities with problem complexity—particularly in predictive marketing, customer segmentation, and automated decision-making.
A powerful use-case lies in enhancing customer satisfaction scoring. Marketing teams often use AI to predict customer churn or sentiment. Applying holistic thinking and properly validating the model’s reasoning performance ensures the predictions are not only accurate on the surface but also grounded in logical causality. This directly impacts business value by avoiding misclassified customer intents, deploying better-targeted campaigns, and ultimately improving retention.
As marketing becomes increasingly AI-driven, the harmony between problem complexity and model design—not just raw performance metrics—will separate effective strategies from superficial ones.
Original article: https://news.google.com/rss/articles/CBMicEFVX3lxTE42SXFaQkRiT1YwQ2lVeXFRazFKcER4ZmhlRFBqYkU5ZzhRY09VR01UeHFGclFEc0ZjOWI4bkp3andkX1hIODVjS29NSHpZMlRZWkpUcG84NGNQdEpqQUw5OEZKVlZ3Wl91aUxpRDdFME4?oc=5
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