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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO

Transformation efforts can be derailed for any number of reasons, but there are several common themes as to why digital initiatives fall short — and most revolve around leadership. IT leaders must work with business leadership to help establish a clear understanding of digital transformation goals and a practical roadmap for achieving them.

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Cybersecurity Snapshot: 6 Best Practices for Implementing AI Securely and Ethically

Tenable

1 - Build security in at every stage Integrating security practices throughout the AI system's development lifecycle is an essential first step to ensure you’re using AI securely and responsibly. And we delve into how to keep your AI deployment in line with regulations. and the U.S. –

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Software Architect Role, Skills, and Impact on Product Success

Altexsoft

There are dozens of definitions for a software or technical architect, but in most general terms a person holding this position drives all critical decisions about the organization of the software system. This tech leader makes sure that a systems architecture used by a company supports its strategy and helps in achieving business goals.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. Amazon Rekognition – Amazon Rekognition is an image analysis service that detects objects, text, and labels in images.

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What is SDLC (Software Development Life Cycle)?

Openxcell

It includes calculating material and labor costs, creating timetables with target goals, projects’ team, and leadership structure. Later, getting them approved from the customer or the market analysis. The following illustration represents the different phases of the Waterfall Model System Development Life Cycle.

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Making the Internet faster at Netflix

Hacker Earth Developers Blog

I built a monitoring system, a number of data analysis tools. Related to Python, I like pandas quite a bit, which is a statistical library with some of the ways to do time serious or data frame analysis. I initialized, I stayed on the platform and tooling side. First is extremely clear and efficient communication.

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AoAD2 Practice: Whole Team

James Shore

One Agile team I worked with was building software for chemical analysis, so they had an analytical chemist with a Masters’ degree on the team. Root Cause Analysis. Root Cause Analysis. For example, if your team is contributing to a larger product, decisions about system architecture may be out of your hands.