Tag Archives: Effective Operations

Common challenges in developing custom software 

Digital times call for digital measures. Each business cannot do without software, whether it is accounting, project, marketing management, CRM,…

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data prep Boosting AI effectiveness: the role of data prep in business 

Imagine analyzing lots of data using AI. Let’s say, it’s a heap of comments from your customers, which you have…

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The future of healthcare data science: trends and predictions 

In recent years, the healthcare industry has witnessed a significant transformation with the integration of data science into its core….

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What impact will AI and IoT have on healthcare data security? 

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in healthcare has brought about transformative changes, revolutionizing…

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Business intelligence and artificial intelligence: difference and use

As technology continues to advance at a rapid pace, businesses are constantly seeking new approaches to gain a competitive edge….

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How to optimize a supply chain with interactive data visualization?

Interactive data visualization refers to the use of graphical representations of data in an interactive format, which allows you to…

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10 Expert Tips on How Data Engineering Outsourcing Can Drive Business Growth 

Imagine turning the key to a hidden treasure chest and unlocking limitless opportunities for growth, innovation, and success. That’s exactly…

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Key Considerations for Successful Data Integrations 

Remember the first time you saw a jigsaw puzzle? It looked like a daunting challenge, but as you began to…

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Outsourcing Cloud Development: An Opportunity to Focus on Your Core Business 

In today’s fast-paced business environment, it’s more important than ever for companies to focus on their core competencies and streamline…

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Can Chat GPT Replace Data Engineers?

Have you been considering how ChatGPT’s AI-driven capabilities might be able to give data engineers a run for their money?…

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Challenges for Tech Leaders in Collaboration with a Data Team

The amount of data we work with trends towards infinity. A little more, and we will freely operate with nonallons and octalons. To solve such complex problems, we will need complex data teams, consisting of data engineers, analysts, QA engineers and other narrow-minded stakeholders. Managing such a team, and most importantly, finding great specialists has become a key task in recent years. 

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In-House or Outsource, or Why It’s Not Really a Question

Have you ever considered the possibilities that the web provides? It’s a vast knowledge base and an incredible platform for…

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