IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. But with the IBM watsonx™ AI and data platform , organizations have a powerful tool in their toolbox for scaling AI.

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Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing! billion in 2019.

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Marktechpost

JUNE 27, 2023

Data scientists can easily handle these complications thanks to Machine Learning as a Service (MLaaS). Machine Learning as a service (MLaaS) has recently gained much traction due to its benefits to data science, machine learning engineering, data engineering, and other machine learning professionals. What is MLaas?

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Pickl AI

NOVEMBER 4, 2024

As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global Big Data and Data Engineering Services market, valued at USD 51,761.6 million by 2028. How Does Data Engineering Differ from Data Science?

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Pickl AI

SEPTEMBER 18, 2024

Read More: How Can AI and Data Protection Work Together Market Overview The global AI in cybersecurity market was valued at approximately USD 22.4 billion by 2028, growing at a compound annual growth rate (CAGR) of 21.9% billion by 2028. billion in 2023 and is projected to reach USD 60.6 during this period. billion in 2023.

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Pickl AI

OCTOBER 21, 2024

They provide flexibility in data models and can scale horizontally to manage large volumes of data. NoSQL is well-suited for big data applications and real-time analytics, allowing organisations to adapt to rapidly changing data landscapes. million users by 2028, marking a significant growth in its user base.

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Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Advancements in data processing, storage, and analysis technologies power this transformation.

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