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Ramprakash Ramamoorthy, Head of AI Research at ManageEngine – Interview Series

Unite.AI

This collaboration is crucial for aligning our AI strategy with the specific needs of our customers, which are constantly evolving. Given the rapid pace of advancements in AI, I dedicate a substantial amount of time to staying abreast of the latest developments and trends in the field.

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AI News Weekly - Issue #342: $1 billion gamble to ensure AI doesn’t destroy humanity - Jul 20th 2023

AI Weekly

In the News Top 10 AI Tools Cooler Than ChatGPT For our list of AI tools cooler than ChatGPT, we conducted extensive research and considered various factors such as performance, versatility, innovation, user-friendliness, integration, and industry impact. dataversity.net Is AI advancing too quickly?

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Conversational AI use cases for enterprises

IBM Journey to AI blog

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

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AI in Stock Trading : Unlocking Profits

Pickl AI

To find trends and patterns traders are now actively using trading and AI strategies like statistical analysis, indicators, and chart patterns. AI tools can support your objectives. Research AI Stock Trading Apps and Tools: Take into account aspects such as price, functionality, and ease of use when evaluating AI tools.

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Where to begin: 3 IBM leaders offer guidance to newly appointed chief AI officers

IBM Journey to AI blog

. “Create trustworthy AI development.” Review frameworks and assessment tools so you have a clear indication of any strengths and weaknesses that will impact your ability to implement AI tools and help with associated risks. Are you wondering what to prioritize in your AI journey?

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices. This will help accelerated development of capabilities needed for business.

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Take advantage of AI and use it to make your business better

IBM Journey to AI blog

AI is being implemented in key workflows like talent acquisition and retention, customer service, and application modernization, especially paired with other technologies like virtual agents or chatbots. This includes adopting governance tools and incorporating governance into workflows to maintain consistent standards.