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Agentic AI design: An architectural case study

CIO

Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. In 2024, a new trend called agentic AI emerged.

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Sweep, a no-code config tool for Salesforce software, raises $28M

TechCrunch

A 2021 survey from CRM software vendor SugarCRM found that 50% of companies don’t know how to access customer data across their marketing, sales and service systems, while 53% said the administrative burdens of their CRM software causes friction for their sales team. In the worst case, the consequences can be severe.

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Tiger Global leads $34M investment into Unit21, a no-code fraud prevention platform

TechCrunch

Unit21 , a startup that helps businesses monitor fraudulent activities with its no-code software, announced today it has raised $34 million in a Series B round of funding led by Tiger Global Management. Their idea was to develop an alternative system to provide risk and compliance teams with more control over their operations.

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Top 10 Highest Paid Programming Languages in 2019

The Crazy Programmer

This data is according to the Stack Overflow Developer Survey 2019. 10 Highest Paid Programming Languages in 2019. This language can fetch the developers a salary much closer to around six-figure due to the dependency of Apple on this language. So, here is the list of a top paying programming languages in the market.

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Garner Health raises $45M Series B for ‘totally objective’ doctor review service

TechCrunch

When you shop for a holiday gift, you probably read at least one review. Garner Health’s bet is when you look for a doctor, you’ll want to do the same thing — but you’ll find that existing reviews aren’t enough to go on. . Garner Health, founded in 2019, is a service designed to help people sort through doctors.

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GitHub Copilot – Change the Narrative

Xebia

Currently there is a lot of focus on the engineers that can produce code easier and faster using GitHub Copilot. Eventually this path leads to disappointment: either the code does not work as hoped, or there was crucial information missing and the AI took a wrong turn somewhere. Use what works for your application.

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GitHub Universe 2024, what a blast!

Xebia

The option to see how the same prompt would result in results si de by si de using different mo de ls is very helpful when you are trying to integrate AI into your own software. These edits are applied directly in the editor, and you can quickly review them in the full context of the surrounding code.