Sketchnotes from TWiML&AI DR, by DR. SHIRIN GLANDER · OCTOBER 12, 2018 Explore the podcast
Read MoreAuthor: Marquis Benton
Insights: AI for Legal Services
Better understand legal back office processes, better customer engagement and the need for strategic thinking in adding value above all things, here are our Insights on AI for Legal Services.
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Better talent, engagement and automation. Speed hiring decisions through fraud detection and succession planning here are our Insights on AI for Human Capital.
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Artificial Intelligence and Disruptive Change. Understanding the changing work environment and Insights into the Productivity Step.
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Artificial intelligence (AI) isn’t just about frameworks, data sources and pipelines—it’s also about people and Building your AI team. This includes executive leadership support and the right talent in key AI roles.
Read MoreAI for business – Finance Office
Exploring the case for AI for business – Finance Office; budgeting, planning, forecasting and continuous accounting.
Read MoreAI for business – Brand Management
AI Brand Management: Exploring the case for AI in Brand Management; customer experience and perception.
Read MoreAI for business – Impact and Possibility
AI Impact and Possibility: Transformation, Centers of Excellence, Artificial Intelligence. Making a difference by implementing AI while tracking impact and possibility.
Read MoreArtificial Intelligence for Finance
Budget, Planning and Forecasting (BP&F) using Artificial Intelligence (AI). Artificial Intelligence for Finance strategically enhances and expands our management tools, artificial Intelligence and predictive analytics.
Read MoreCase for AI: Real Impact & Opportunity
Insights into Artificial Intelligence, where it is used and how it can help your business taking into account real impact & opportunity. Insights into Artificial Intelligence, where it is used and how it can help your business taking into account real impact & opportunity.
Read More6 Types of Artificial Intelligence Environments
6 Types of Artificial Intelligence Environments. When designing AI solutions, time is focused on the nature of learning algorithms. Little attention is often provided to the nature of the environment on which is key to determine the right models.
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