Remove AI Strategy Remove Conversational AI Remove Explainability
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AI courses to boost your skills and stay ahead

AI News

Artificial Intelligence: Preparing Your Career for AI Artificial Intelligence: Preparing Your Career for AI is an option for those wanting to future-proof their careers in an AI-centric workplace. The course outlines five essential steps for preparing for AI’s impact on job roles and skill requirements.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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Data is essential: Building an effective generative AI marketing strategy

IBM Journey to AI blog

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. With the right generative AI strategy, marketers can mitigate these concerns.

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How to improve your finance operation’s efficiency with generative AI

IBM Journey to AI blog

If poorly executed, these reports can limit our ability to explain the underlying drivers of performance. AI analyzes financial statements, notes, disclosures and other and applicable data, then translates and interprets the data to provide context-rich answers to your questions.

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Microsoft Azure OpenAI Service and DataRobot Modernize Data Science Work with Cutting-Edge Technology Innovations

DataRobot Blog

This integration, which leverages the ChatGPT model in Azure OpenAI, provides a conversational AI experience that will allow you to interact with and interpret model results and predictions directly. Explaining results means translating what the raw data features represent and contextualizing the insight trends.

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How Do LLMs Reason? 5 Approaches Powering the Next Generation of AI

Topbots

Chain-of-Thought Prompting: Teaching LLMs to Think Step by Step One of the earliest and most enduring techniques to improve reasoning in LLMs is surprisingly simple: ask the model to explain itself. But new work in 2025 introduces backtracking a classic AI strategy now adapted to LLMs. Wang et al.

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AI for banking in the era of ChatGPT

Snorkel AI

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. This is especially true for complex, high-value use cases such as conversational AI, fraud detection, anti-money laundering, and more.

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