Remove 2050 Remove Experimentation Remove Machine Learning
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IDC Directions: The META region’s path to AI-Driven digital transformation

CIO Business Intelligence

This transition represents more than just a shift from traditional systemsit marks a significant pivot from experimentation and proof-of-concept to scaled adoption and measurable value. According to Jyoti, AI and machine learning are leading the way in sectors such as government, healthcare, and financial services.

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Modernizing bp’s application landscape with AI

CIO Business Intelligence

As part of this transition, the company is aiming for a net-zero carbon footprint by 2050. Historically, AI use has been focused on machine learning in operations such as exploration and drilling in the initial phases of energy production. Along the way, the company decides whether to build or buy a solution for each use case.

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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.