Remove 2030 Remove Experimentation Remove Machine Learning Remove Optimization
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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

Laying the data foundation The four pillars of DS Smith’s digital plan revolved around the management and optimization of data generated by industrial machines, energy providers, its supply chain, and customer experience. Energy optimization is another key aspect of DS Smith’s data and sustainability pipeline, the CIO says.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. trillion to the global economy in 2030, more than the current output of China and India combined.” ” Of this, PwC estimates that “USD 6.6