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ChatGPT, the rise of generative AI

CIO Business Intelligence

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. It’s hard to achieve a deep, experiential understanding of new technology without experimentation. It’s only one example of generative AI. GPT stands for generative pre-trained transformer.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. (And sometimes even if it is not[1].)

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Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

To gain perspective, Iron Mountain sponsored research by Quadrant Strategies, which used digital listening technologies to study public online conversation trends among enterprise decision-makers. It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises.

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6 trends framing the state of AI and ML

O'Reilly on Data

Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however. First, for most people and most use cases, supervised learning serves as the default, assumed strategy for machine learning. The chatbot was one of the first applications of AI in experimental and production usage. What’s driving this growth?

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

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4 key roles that define transformational IT leaders today

CIO Business Intelligence

They are increasingly included in board-level discussions on cybersecurity and tech investments for organizational initiatives and are influencing decisions related to planning, strategy, implementation, and operations. So, from strategy to execution, CIOs must be involved in all facets of the organization.

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Why adopt a hybrid, multi-cloud strategy?

Cloudera

of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. A hybrid, multi-cloud strategy is the best approach to managing these distributed, heterogeneous data ecosystems. Transforming Your Business with Multi-cloud and Hybrid Strategies.