Beware of hallucinations: 89% of engineers in companies using LLMs and generative AI models (chatbots, virtual assistants) say their models show signs of hallucination, according to Aporia’s “AI & ML Report: Evolution of Models & Solutions.” The hallucinations range from factual errors to content that’s biased and even dangerous.
And speaking of bias: 83% of respondents prioritize monitoring for AI bias in projects, despite facing challenges such as identifying the biased data, inadequate monitoring tools, and a lack of understanding of the implications of bias. The company surveyed 1,000 ML professionals based in North America and the United Kingdom working at companies with 500-7,000 employees for the report (registration required).
Here are this week’s AI-powered martech releases:
- Generaitiv creates AI image generator bots customized for digital communities. The bots generate and share unique images based on simple text prompts, increasing online engagement and brand awareness. Generaitiv also has its own token, $GAI, which enables users to access premium features on the platform, such as custom AI model training.
- Vidnoz’s Voice Clone lets users clone their voices and speak in different languages with natural tones. This helps brands create personalized and recognizable video content that appeals to their audience. Vidnoz also offers other AI tools, such as AI Talking Photo, AI Cartoon Generator and AI Background Remover.
- Typeform’s Formless creates conversational forms that can ask and answer questions. This helps companies collect high-quality customer data at scale while providing an engaging customer experience. Formless jas customizable templates, multilingual support and easy integration.
- Intellimize creates and optimizes landing pages. It generates personalized copy based on the target audience, persona, or account, and users can guide the AI with prompts and edit the content. Intellimize also offers a visual editor for easy customization and alignment with the brand’s voice and message.
- AtData’s AtData Quality Score lets organizations segment and qualify their customer databases. The score analyzes the organization’s top customers using various signals and data sources, such as email activity, demographics, purchase behavior and spend propensity.
- Ada and Dixa have partnered to enable customer service teams to provide instant resolutions, continuous improvement and elevated agents. The partnership allows users to onboard the Ada AI Agent to the Dixa Knowledge Base, analyze and coach the AI Agent’s performance, and handoff to a specialized agent within Dixa’s platform.
- Rakuten Advertising’s Partnership Discovery uses AI to help advertisers find the most effective publisher partners for product-specific affiliate campaigns. The feature can help advertisers drive higher audience engagement and more revenue, and publishers showcase the strengths of their audiences. Users can filter search results by category sales ratio, classification, business model, and partnership
- lgolia’s Generative Shopping Experiences creates unique online shopping experiences. The functions include: Product comparisons based on features and preferences; product reviews provide personalized and relevant reviews from other users or owners of the product; buyer guides help customers find the right product for their situation or occasion; query refinement uses AI chat agents to assist shoppers throughout their shopping journey and narrow down their choices based on queries and feedback.
- Constructor’s AI Shopping Assistant is a conversational product discovery tool that creates personalized and optimized recommendations. The tool can address use cases and queries such as: Finding recipes and procuring ingredients, finding occasion-appropriate apparel and identifying relevant items across categories.
- Splash’s Attendance Insights predicts event attendance based on similar events hosted on Splash, Attendance Insights also provides data-backed recommendations to improve expected attendance. It makes attendance predictions and strategic recommendations based on past performance of a customer’s events, as well as the performance of comparable events from other customers.
- Eagle Eye’s EagleAI uses retailers’ existing customer data to generate personalized promotions for consumers at scale. This helps retailers move from mass promotions to segmentation to curated offers and communications created specifically for individuals.
The post AI-powered martech releases and news: Jan. 18 appeared first on MarTech.
As we enter the new year, the world of marketing technology continues to evolve at a rapid pace. With the rise of artificial intelligence (AI) and machine learning, marketers now have access to powerful tools that can help them reach their target audience more effectively and efficiently. Here are some of the latest AI-powered marketing technology updates and announcements for January 18.
1. Google’s New AI-Powered Ad Platform
Google has announced the launch of a new AI-powered ad platform that uses machine learning to optimize ad campaigns. The platform, called “Performance Max,” is designed to help marketers reach their target audience across all of Google’s channels, including search, display, YouTube, and more. With Performance Max, marketers can set their goals and let the AI do the rest, automatically adjusting bids and targeting to maximize results.
2. Salesforce Introduces Einstein Voice
Salesforce has introduced a new AI-powered voice assistant called Einstein Voice. The assistant is designed to help sales reps and marketers manage their tasks more efficiently by using voice commands. With Einstein Voice, users can update records, create tasks, and get insights on their data without having to manually input information. The voice assistant is also integrated with Salesforce’s CRM platform, making it easy for marketers to access customer data and insights.
3. Adobe Launches AI-Powered Content Attribution Tool
Adobe has launched a new AI-powered content attribution tool that helps marketers track the performance of their content across different channels. The tool, called “Content Attribution,” uses machine learning to analyze data from various sources and provide insights on how content is performing. With Content Attribution, marketers can see which pieces of content are driving the most engagement and conversions, and adjust their strategy accordingly.
4. HubSpot Introduces AI-Powered SEO Recommendations
HubSpot has introduced a new AI-powered SEO recommendation tool that helps marketers improve their search engine rankings. The tool, called “SEO Recommendations,” uses machine learning to analyze a website’s content and provide suggestions on how to optimize it for search engines. With SEO Recommendations, marketers can get personalized advice on how to improve their website’s visibility and drive more traffic.
5. IBM Watson Launches AI-Powered Marketing Assistant
IBM Watson has launched a new AI-powered marketing assistant that helps marketers automate their tasks and make data-driven decisions. The assistant, called “Watson Marketing Assistant,” uses natural language processing and machine learning to analyze data and provide insights on marketing campaigns. With Watson Marketing Assistant, marketers can get recommendations on how to optimize their campaigns, track their performance, and make adjustments in real-time.
In conclusion, the latest AI-powered marketing technology updates and announcements for January 18 show that the industry is moving towards a more automated and data-driven approach. With the help of AI and machine learning, marketers can now reach their target audience more effectively and make informed decisions based on real-time data. As the technology continues to evolve, we can expect to see even more innovative tools and platforms that will help marketers stay ahead of the curve.
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