Karan Sachdeva’s Post

It's exciting to see AI assistants evolve past conversations, and actually complete complex tasks using integration technology. Ayhan Sebin does a great job at explaining how, using API agents, AI assistants will now be able to achieve business goals defined by non-technical workers, further democratizing the benefits of Artificial Intelligence. #AI #Automation #IBM https://lnkd.in/gdEV9men

Integrating easy to build workflow into chatbots "APIs are the backbone of AI agents. Building API-based agents is a complex task that involves - interacting with a user in a conversational manner, - identifying the APIs that are needed to achieve a user goal, - asking questions to gather the required arguments for the API, - detecting the information provided by the user that is needed when invoking the API, - enriching the APIs with sample utterances and - generating responses based on API return values. This process can take hours for an experienced developer. However, LLMs can automate these steps. This enables builders to train and enrich APIs more quickly for specific tasks." #ai #llm #ibm #watsonx https://lnkd.in/g-9k5ebE

Tasks that used to take hours can now be completed in minutes by orchestrating a large catalog of reusable agents #watsonx read more in the article below

Generative AI-powered assistants are revolutionizing the way businesses interact and automate processes. These assistants, powered by Large Language Models (LLMs), can understand and generate human-like responses and content, transforming the way humans and machines collaborate. Key Highlights: - AI assistants can harness tools through agents that invoke Application Programming Interfaces (APIs) to achieve specific business goals. - Tasks that used to take hours can now be completed in minutes by orchestrating a large catalog of reusable agents. - Knowledge workers can save time and focus on more complex and creative problems with the help of AI assistants. - Automation builders can create automations quickly and easily using AI assistants, employing generative AI to automate the very process of automation. - AI assistants can automate the process of building agents by identifying APIs, filling slots, and enriching APIs. - AI assistants can simplify the process of building multi-agent automations by using LLMs and planning techniques to identify, sequence, and invoke the right set of APIs. - AI assistants can automatically generate a set of alignment suggestions for mapping fields in target APIs to corresponding fields in source APIs. #AIAssistants #LLMs #APIAutonomous #BusinessAutomation #aiforgood

"While it may sound like a riddle, AI assistants employ generative AI to automate the very process of automation." Read more on how IBM is creating and applying #AI assistants to aid enterprises in accelerating their automation transformation journeys: https://ibm.co/49pdygl

An AI+ enterprise innovates with AI as the primary focus, understanding that AI is fundamental to the entire business.

IBM was up 5% this week. We like the thinking of becoming an AI + enterprise where #ai is the first class citizen upon which everything is built. It's no longer about adding AI (+AI) as a side, innovation project. Enterprises that adopt this approach see a 2.6X boost in ROI across the board. https://lnkd.in/ecFKfXw9

IBM Watson Code Assistant is revolutionizing IT automation. This article from IBM, highlights how our approach to generative AI is reshaping the landscape of IT automation. #IBM #WatsonCodeAssistant #ITAutomation #AI #ProductivityBoost #CodingRevolution https://ibm.biz/BdyDzu

SMBs represent 44% of the US GDP, enterprises must provide personalized exp, tailored support & strategic pricing based on needs. Generative AI solutions like IBM watsonx can help reduce the cost & boost efficiency. 🤯 #GenerativeAI #Watsonx #SMB #Tech #AI

I think one of the biggest mistakes is that data management starts with the CFO. CFO owns the data as part of the system of record and other reporting requirements. CTO and CIO partner with CFO as part of the overall data governance. Generative AI needs to be align with privacy, ethical, and security policies as part of adopting any generative AI use cases.