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10 Best AI Tools to Protect Your Brand and Streamline Influencer Marketing (December 2024)

Unite.AI

At its core, the Iris AI engine operates as a sophisticated neural network that continuously monitors and analyzes social signals across multiple platforms, transforming raw social data into actionable intelligence for brand protection and marketing optimization.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. For example, a request made in the US stays within Regions in the US.

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What is voice intelligence and how does it work?

AssemblyAI

For developers , it provides APIs and tools to build applications that can transcribe conversations, analyze sentiment, detect key topics, and generate automated summaries.  Below, we’ll break down everything you need to know about voice intelligence to implement it in your applications.

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7 best conversation intelligence software in 2025

AssemblyAI

Teams with frequent meetings Meeting transcription, workflow automation, topic detection Superior meeting insights, collaborative features Meeting-focused, lacks sales or service tools Symbl.ai Particularly good for B2B sales organizations with longer, complex sales cycles.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning Blog

Failing to adopt a more automated approach could have potentially led to decreased customer satisfaction scores and, consequently, a loss in future revenue. This was done using automated quantitative metrics provided by Ragas, DeepEval, and traditional ML metrics as well as human-in-the-loop evaluation done by SMEs.

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Understanding Data Science and Data Analysis Life Cycle

Pickl AI

Automated systems can extract data from websites or applications. This might involve normalising data, scaling features, or encoding categorical variables. It’s critical in harnessing data insights for decision-making, empowering businesses with accurate forecasts and actionable intelligence.