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Agentic AI: A Two Phased Approach

INSIGHTS

Navigating the Two Phases of Agentic AI

Thuy Lam
CEO and Head of R&D

Published 5 December, 2024

Agentic AI’s evolution will likely happen in two phases. Phase 1 focuses on overcoming foundational roadblocks, like legacy system integration and data quality, while implementing structures for AI agents to make semi-autonomous decisions.

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A Guide on Getting Your Automation Business Case Across the Line

So, you’ve done your research, read white papers and case studies about automation (RPA, hyperautomation, intelligent automation – you name it) and you are convinced it will make a significant positive change in your organisation. You already know what tasks you’d like to automate so that you and your team can finally start working on projects you never had time for. The next step: build a business case for the Directors and get it across the line. Let’s take a look at what you should prepare.

The Emerging Trend Of Sustainable Computing

Sustainable or green computing is designed to help companies measure, understand, and take charge of their carbon emissions, set sustainability goals, and take measurable action.

Unlocking the Power of the Power Platform

Enhance business through the Power Platform - Microsoft's low code PaaS that enhances business capabilities through automation, AI, and allows for rapid development of applications.

Leverage Powerful Chatbots with Microsoft

Microsoft has emerged as a frontrunner in providing powerful chatbot technology that can revolutionize the way companies interact with their customers and manage internal processes.

How to Easily Integrate AI into your Business Flows

Unlock the power of AI easily through Microsoft's AI Builder. AI Builder is a component of Microsoft's low code PaaS that enhances business capabilities through automation, AI, and allows for rapid development of applications.

ML Integration with Power BI

Late last year Microsoft expanded their Power BI capability to use automated machine learning (ML) directly in Power BI. This means that business analysts can now train, validate and invoke ML models within the Power BI app without having the technical knowledge of data scientists.

OCR Landscape is Evolving

In today's digital age, data is king, and extracting valuable insights from printed or handwritten documents has never been more crucial. Enter Optical Character Recognition (OCR), a transformative technology that is reshaping the way we interact with written information.

Don’t Focus Too Much on Models

Data scientists, and more specifically, AI companies, are placing too much emphasis on model development and hyper-parameter tuning. There are two other key cogs in the wheel that are needed for a successful adoption of AI in any business, and these are often overlooked.

Our Assessment of New UiPath Features

We’ve done our research to bring you hot off the press information on the new and soon to be released UiPath features. Our assessment comes directly from engagement with UiPath, researching Uipath articles and documentation linked throughout this article, allowing you to perform your own research if you’re interested in finding out more.