Sat.May 02, 2020

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Best Way to Learn Data Structures and Algorithms

The Crazy Programmer

In this article, we are going to look for the basic question which every enthusiastic undergrad starting with computer science always gets into. . Best Way to Learn Data Structures and Algorithms. If you are reading this article you probably are familiar with the fact that Data structures and Algorithms are the must to do things if you are studying Computer Science, You may be doing development or competitive coding or open source but it is very important to learn at least the basics of data str

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Accrete AI Accelerates Growth and Product Adoption with Government Contract

CTOvision

We wanted to bring the following press release to your attention, highlighting one of the big reasons we have begun tracking Accrete AI in our Directory of Disruptive IT as […].

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Unveiling Key Findings From the 2020 MSP Benchmark Survey

Kaseya

The 2020 MSP Benchmark Survey results are finally here. The latest findings stress the needs of MSP clients regarding security and compliance, while also cementing the importance of a remote monitoring and management (RMM) application for MSP operations. The survey findings are gathered from owners and professionals of nearly 1,300 MSPs spread across more than 50 countries.

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Accrete scales human expertise and automate analytical tasks to make accurate predictions about the real world

CTOvision

With this post we are initiating coverage of Accrete.ai in the CTOvision Directory of Disruptive IT as an Artificial Intelligence company. Accrete was founded in 2017 as an artificial intelligence […].

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Artificial intelligence can improve cash flow for manufacturers

Capgemini

The U.S. manufacturing sector has been valued at roughly $2.4 trillion annually and accounts for 11 percent of the national gross domestic product (GDP). And every manufacturer spends a significant amount of money in different regions and warehouses to keep their businesses operating smoothly. The idea that you manage your business for profitability but operate it for cash flow seems like a simple one, but the many moving parts compromise cash flow.