AI-powered martech news and releases: July 18

80% of consumers expect a future where marketers stop advertising to humans and instead target the AI assistants that will do all the shopping.

Predicting the future is a rube’s game and AI is no exception. Nonetheless, the fine folks at Ericsson put out a list of 10 things likely to happen with AI. Here are some highlights, the first one is especially interesting for marketers.

• AI shoppers kill the ad industry: “Almost 3 in 4 consumers interviewed are convinced that AI has the potential to render the entire advertising industry obsolete.” This is because AI assistants will be giving tailor-made shopping advice and automatically restocking your household essentials. By obsolete, they mean having bots market to other bots.  “Eight out of 10 consumers … anticipate the advertising industry redirecting its focus towards targeting digital shopping assistants to influence purchasing decisions, rather than directly targeting humans.”
• AI creates more body image issues: “Two out of three people anticipate that AI-generated models, influencers and media imagery will impact the perception of real humans.” Furthermore, “a majority believe AI will change our beauty standards, and six in 10 also foresee an uptick in plastic surgery procedures to get the perfect synthetic human look.”
• Add your friends to “Friends”:  Almost 80% expect to “create their own interactive stories, ranging from rom coms to sci-fi adventures, enabling them to tailor it to their mood.” And 68% believe they’ll be able to include “AI characters based on their friends.”
• Reality bites the dust: Some 80% say that by 2030 (six years from now!) we will be using AI simulations to make life-altering decisions such as buying houses or stocks. Nearly the same number say they’ll simulate the health impacts of lifestyle changes, while 74% expect to be able to test “their culinary prowess through digital simulations.” 

Buckle up your simulated seatbelts, the brave new world is right around the corner.

Now, here are this week’s AI-powered martech releases:

• SugarCRM added generative AI features to enhance customer intelligence and boost productivity for sales and service teams. Offered at a competitive price point, Sugar’s AI capabilities are designed to be accessible to midmarket businesses. Features include: Opportunity Summarization which helps sales representatives gain insights and develop winning strategies by analyzing customer data and suggesting next steps; and Case Summarization which utilizes AI to analyze customer interactions, generate summaries, identify potential problems, and recommend solutions, allowing customer service agents to provide more personalized and efficient support.
• Omilia’s Pathfinder is designed to reduce conversational AI deployment times. It uses machine learning and natural language processing to automate the creation of conversation flows by analyzing existing call logs and transcripts.
• Attentive’s AI Pro, an SMS and email marketing platform, is now available internationally. It uses artificial intelligence to optimize marketing messaging. AI Pro includes features such as Audiences AI for customer segmentation and Identity AI for recognizing site traffic, 
• Moore’s Audience-Centric Testing Suite is a set of tools designed to improve fundraising effectiveness. They use psychometric research, data insights, generative AI and omnichannel analytics to help organizations tailor their communications. ACTS features AI-assisted idea generation, concept testing with psychometric tools, audience customization using SimioCloud data, multivariate testing for creative elements, and channel optimization. 
• CallMiner added generative AI capabilities to its post-interaction and real-time AI summarization features. The post-interaction summaries have an upgraded large language model, allowing for use-case-specific configurations. The new automated follow-up actions feature initiates workflow tasks based on AI summaries. CallMiner has also added real-time AI summarization, providing instant summaries after customer interactions. Agents can review and edit these summaries within the RealTime Agent Assistant desktop client. These enhancements aim to increase agent productivity, reduce administrative tasks, and improve customer experience.
• AdCreative.ai’s AdLLM Spark is an AI/LLM built exclusively for advertising. AdLLM Spark is designed to generate high-conversion-rate advertising texts for all major advertising platforms by using real-life ad data. 
• Tatari has an AI-powered media buying system for linear and streaming TV advertising. It uses machine learning algorithms to automate the entire TV media buying process, from planning to execution. It analyzes historical performance data, current market conditions and campaign objectives to make real-time bidding decisions. The system aims to optimize ad placements, improve targeting, and enhance campaign performance. 
• Sinch’s Sinch AI is designed to enhance customer engagement. It integrates with various communication channels and uses natural language processing to understand customer intent. Sinch AI features include intent detection, sentiment analysis and automated responses. It aims to improve customer interactions by providing personalized experiences and reducing response times. The platform is compatible with existing AI models and can be customized for specific business needs.
• Crixeo’s CrixeoAI content platform is now in beta release. The platform generates various types of content, including blog posts, social media updates, and product descriptions. It aims to streamline content creation processes, potentially reducing the time and resources required for content marketing. 
• Boltive’s Ad Monitor is designed to enhance ad insights using an AI-powered discovery engine. It identifies and analyzes ad placements, providing detailed insights into ad performance and compliance. The tool aims to help businesses optimize their advertising strategies by detecting issues like ad fraud and brand safety violations.
• BizWisdom’s new AI-powered platform is designed to enhance advertising strategies. The system uses machine learning algorithms to analyze consumer behavior, market trends, and campaign performance data. It offers features such as predictive analytics, automated ad creation, and real-time optimization of ad placements. 

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