Remove articles generative-ai-for-devops-a-practical-view
article thumbnail

CIOs in transition: 5 tips for landing your next IT leadership job

CIO

One recommendation is to leverage a lightweight CRM and treat networking like a lead-generation activity, a skill that also builds better understanding and appreciation of sales and marketing functions. At some point in your career, you’re likely to find yourself in transition, having left an IT leadership job without a new one lined up.

article thumbnail

How To Build A Fintech App In 2022

Existek

Fintech applications prevail in the financial sphere, but the process of their development doesn’t look easy at the first glance. So, how to build a fintech app to deliver the best quality to end-users and beat the competition? What tech stack to choose to implement the trending functionality, and how to estimate the final development price?

Fintech 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

So, in this article, we’ll talk about the current BI market leader – Microsoft Power BI – and discuss its functionality, pros and cons, and alternatives. In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. What is Power BI? What is Power used for?

article thumbnail

How Does HackerEarth Combat The Use Of ChatGPT And Other LLMs In Tech Hiring Assessments?

Hacker Earth Developers Blog

A note about LLMs LLM stands for Large Language Model, which is a type of machine learning model designed to process and generate human-like natural language. A note about LLMs LLM stands for Large Language Model, which is a type of machine learning model designed to process and generate human-like natural language.

article thumbnail

Technology Trends for 2024

O'Reilly Media - Ideas

But AI is going to bring changes to almost every aspect of the software industry. Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. It’s tempting to look at AI as a quick fix.

Trends 116
article thumbnail

Software Development for Financial Services: Technologies, Trends, Challenges, and Best Practices

Existek

In this article, we will explore the current state of software development in the financial services industry, the sector’s challenges, and the key trends shaping the future. Emerging technologies such as blockchain, AI, and machine learning are also becoming increasingly important in financial services software development.

article thumbnail

DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. How DataOps relates to Agile, DevOps, and MLOps.