Remove AI Strategy Remove Data Analysis Remove Responsible AI
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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.

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The Current State of AI in Marketing 2024

Unite.AI

Unclear regulations can create uncertainty and hesitation around data privacy and consumer rights within AI-powered marketing strategies, concerning 30% of respondents. Lack of AI Strategy: Many businesses lack a clear roadmap for AI implementation. Ready to use the power of AI in your marketing strategy?

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AI Solutions Are Creating Artificial Needs

Towards AI

By creating tools that dont address actual issues but rather create the illusion of necessity, the AI industry has fallen into the trap of fostering artificial needs. AI can also play a crucial role in specialized fields like medical diagnostics, fraud detection, and scientific research. Remember: A tool without purpose becomes noise.

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

IBM Journey to AI blog

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. Here are some important considerations our F&A experts provided: Start with a sound AI strategy.

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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. Data Science Proficiency : Skills in Data Analysis, statistics, and the ability to work with large datasets are critical for developing AI-driven insights and solutions.

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Archana Joshi, Head – Strategy (BFS and EnterpriseAI), LTIMindtree – Interview Series

Unite.AI

This shift is also leading to new types of work in IT services, such as developing custom models, data engineering for AI needs and implementing responsible AI. Our own research at LTIMindtree, titled “ The State of Generative AI Adoption ,” clearly highlights these trends.

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AI Myths Debunked: True & Interesting Facts About AI

Pickl AI

Quality data is more important than quantity for effective AI performance. AI creates new job opportunities rather than eliminating existing ones. Ethical considerations are crucial for responsible AI deployment and usage. Everyday applications of AI include virtual assistants and recommendation systems.