It’s frighteningly easy to poison a large language model (LLM). What’s even more unnerving is you don’t need access to do it.
A new study from NYU scientists dives deep into how much medical misinformation an AI can handle before it starts giving wrong answers. They found that even a tiny amount of fake info – just 0.001% of the data it learns from — can mess up the AI.
While the study focuses on someone deliberately trying to trick the AI during training, it also highlights a bigger problem: All the misinformation already floating around online that these AIs are learning from. Plus, there’s the issue of outdated medical info still hanging around in some databases. Sci-Hub, a free access/piracy site for scientific research, found only 15% of papers retracted by their publisher were removed from the site.
The good news is that any poisoned data must compete for attention with what might be accurate information. So, the ability to poison an LLM might depend on the topic. The bad news: LLMs get trained on data taken from the internet, and a lot of that is garbage.
Now here’s this week’s roundup of AI-powered martech releases:
- Amazon Ads announced a new capability within Amazon Marketing Cloud (AMC). This new feature allows advertisers to generate SQL queries for their desired audience using natural language. This eliminates the need to write code, significantly reducing the time required to develop audience queries. Advertisers can then run these queries within AMC to create new audiences and activate them across Amazon DSP and ads console.
- Cordial’s Cordial Edge uses multimodal AI to generate personalized marketing models for individual retail brands. These models consider various data types, including brand creative, illustrations, photography, and text, to optimize marketing messages for increased purchases.
- PearlMountain Limited released an update to its video creation platform, FlexClip. This update includes two new tools: an AI Video Generator and a Motion Tracking feature. The AI Video Generator enhances creative possibilities, while the Motion Tracking feature simplifies complex editing tasks.
- Jellypod launched its AI podcast studio. This platform offers features such as AI-powered voice cloning, content control, and robust content integration. Jellypod aims to simplify podcasting by assisting creators with all aspects of production, from ideation to final edits and publishing.
- Dappier announced the availability of AskAI banner ad deployment. This feature allows digital publishers to integrate a conversational AI answer engine within banner ads. This in-ad unit provides contextual knowledge of user content and offers advertisers a high-attention environment to connect with consumers.
- HUMAN Security partnered with TollBit to protect against unauthorized AI scraping bots, enforce robots.txt directives, and enable publishers to monetize their content.
- Jivox updated Jivox IQ DaVinci platform. This update includes deep API integrations with major retailer DSPs, such as Amazon DSP and Walmart Connect DSP. The platform combines first-party audiences with creative and media in a single workflow.
- Integral Ad Science launched its AI-driven Total Media Performance (TMP) solution. TMP integrates media quality signals with in-flight optimization to help advertisers achieve better campaign outcomes.
- Creative Realities launched AdLogic CPM+TM, a campaign planning and management platform. This platform offers programmatic functionality and is designed for in-store retail media networks. AdLogic CPM+TM enables advertisers and publishers to plan, manage, and optimize campaigns within a unified AdTech stack.
- BrandRep launched an AI-powered keyword generator. This tool uses artificial intelligence to identify relevant keywords for small and mid-sized businesses. The goal is to improve SEO performance and drive growth in competitive digital spaces.
The post AI-powered martech news and releases: January 9 appeared first on MarTech.
**Latest AI-Powered Martech Updates and Releases: January 9**
The marketing technology (Martech) landscape continues to evolve at a rapid pace, with artificial intelligence (AI) playing a pivotal role in driving innovation. As of January 9, 2024, several AI-powered Martech updates and releases have been announced, promising to revolutionize how businesses engage with their audiences, optimize campaigns, and deliver personalized experiences. Below, we explore the latest developments shaping the Martech industry.
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### 1. **AI-Driven Personalization Reaches New Heights**
Personalization has long been a cornerstone of effective marketing, but recent advancements in AI are taking it to the next level. On January 9, a leading Martech platform, **CustomerAI**, unveiled its new **Hyper-Personalization Engine 3.0**. This update leverages generative AI to create real-time, hyper-targeted content for individual users based on their browsing behavior, purchase history, and even sentiment analysis.
The tool integrates seamlessly with CRM systems, enabling brands to deliver dynamic email content, personalized website experiences, and tailored product recommendations. Early adopters report a 35% increase in customer engagement and a 20% boost in conversion rates.
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### 2. **AI-Powered Predictive Analytics for Campaign Optimization**
Predictive analytics has become a game-changer for marketers, and the latest release from **InsightIQ** is no exception. The company introduced its **Predictive Campaign Optimizer**, an AI-powered tool that uses machine learning algorithms to forecast campaign performance before launch.
The tool analyzes historical data, audience behavior, and market trends to recommend the best channels, messaging, and timing for campaigns. Marketers can now simulate multiple campaign scenarios and receive actionable insights to maximize ROI. This release is expected to reduce campaign waste and improve targeting precision.
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### 3. **AI Chatbots with Emotional Intelligence**
AI chatbots have been a staple in customer service and engagement, but their ability to understand and respond to human emotions has been limited—until now. On January 9, **ConversAI** introduced its next-generation chatbot, **EmotiBot 2.0**. This AI-powered chatbot uses natural language processing (NLP) and sentiment analysis to detect emotional cues in customer interactions.
For example, if a customer expresses frustration, the chatbot can adjust its tone and provide empathetic responses. This emotional intelligence feature enhances customer satisfaction and builds stronger brand loyalty. Early trials have shown a 40% reduction in customer churn rates for businesses using EmotiBot 2.0.
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### 4. **AI-Powered Content Creation Tools Gain Traction**
Content creation remains one of the most time-consuming aspects of marketing, but AI is making it faster and more efficient. **ContentCraft AI**, a popular content generation platform, announced its latest update, **Creative Suite 2024**, on January 9. This release includes new features such as:
– **AI Video Script Generator**: Automatically generates video scripts tailored to specific industries and audiences.
– **Multilingual Content Creation**: Supports over 50 languages, enabling brands to expand their global reach.
– **Tone Customization**: Allows marketers to adjust the tone of their content to match their brand voice, from formal to conversational.
Marketers using Creative Suite 2024 report a 60% reduction in content production time, freeing up resources for strategy and innovation.
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### 5. **AI-Powered Martech Integration Platforms**
As Martech stacks grow increasingly complex, integration remains a challenge. To address this, **StackSync AI** launched its **Smart Integration Hub** on January 9. This AI-powered platform simplifies the process of connecting disparate Martech tools, ensuring seamless data flow and interoperability.
The Smart Integration Hub uses AI to identify potential integration issues, recommend solutions, and automate workflows. This ensures that marketers can access unified data across platforms, enabling more informed decision-making and streamlined operations.
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### 6. **Voice Search Optimization with AI**
With the rise of voice search, optimizing content for voice queries has become a priority for marketers. On January 9, **VoiceSEO AI** released its new **Voice Optimization Toolkit**, designed to help brands rank higher in voice search results.
The toolkit uses AI to analyze voice search trends, identify long-tail keywords, and optimize content for conversational queries. It also provides insights into how users interact with voice assistants like Alexa and Google Assistant. Brands using the toolkit have reported a 25% increase in organic traffic from voice searches.
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### 7. **AI-Powered Social Media Insights**
Social media remains a critical channel for marketers, and AI is making it easier to extract actionable insights. **SocialSense AI** announced its latest update, **TrendSpotter 2024**, on January 9. This tool uses AI to analyze social media conversations, identify emerging trends, and predict which topics will gain traction.
TrendSpotter 2024 also includes a competitor analysis feature, allowing
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