Remove 2022 Remove Analytics Technologies Remove Data Science Remove Machine Learning
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Side Hustle Ideas for Experienced Data Scientists in 2022

Smart Data Collective

Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you’re feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea.

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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Data management for ML/AI – what’s the big deal? Stay tuned.

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing.

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Customer Data Culture: The Innovators Have Already Reinvented Themselves

Alation

With the introduction of a new data lake, MunichRe created a new way for actuaries and business experts to explore new product concepts and test new markets. With the data catalog, energy industry experts in Houston, experts of risk data science in New Jersey, and business experts in Munich all have access to the same data.

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Understanding Augmented Analytics and Its Evolution

Smarten

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. We should probably explain before we move on.