Blog

Back to all articles

Data infrastructure stability and development

|

2020 was unforgettable and unstable year. However, digital ecosystem has demonstrated great stability and growth having made significant transformation for a few months.

Data technologies (artificial intelligence, machine learning, data infrastructure) and cloud technologies are in the center of the digital transformation. That’s why companies from the digital ecosystem could survive and prosper in such difficult period.

Snowflake (data warehouse provider) became the most striking example of this. In September 2020 it was transformed to a public company with $69 billion market cap (by that time it was the biggest software IPO).

Palantir became the second instance. This is US based company that develops data analytics software for organizations. The company became public via direct listing and achieved $22 billion market cap.

Without doubt a lot of economic factors like consumer trust, inflation, developing of economy etc. have influence on business success. But financial market dictates its own rules according to the new reality. Each company that strives to be successful, has to be a data-oriented company.

It’s worth to remark that data technologies have own requirements, but some of them assume completely another concept and reasoning. Such artificial intelligence method as machine learning is too strong technical segment. A project success amount to 90-95%. Such rates effect more on artificial intelligence products evolution.

In the last few years companies began to demand more from digital decision providers. For example, they want to process bigger data value faster and chipper or use machine learning models wider. There is a logical connection since companies’ management began to understand benefits and get profit from such decisions.

Previous Post Next Post

Related posts

The Rumsfeld Matrix as an effective tool in the decision-making process

During a briefing on the Iraq War, Donald Rumsfeld divided information into 4 categories: known known, known unknown, unknown known, unknown unknown. ...

Read more

AI and ML impact on Data Science

Artificial Intelligence and Machine Learning have contributed to the advancement of data science. These technologies help data scientists conduct anal...

Read more

Artificial Intelligence for data analytics

Artificial Intelligence is widely used in many applications, including for data analytics. AI is used to analyze large data sets that allows to obtain...

Read more
GoUp Chat