Remove 2023 Remove Experimentation Remove Optimization Remove Reporting
article thumbnail

The CIO’s 2024 AI playbook

CIO Business Intelligence

The AI hype cycle has peaked: Tens of thousands of companies helped get it there with generative AI in 2023, with two-thirds now reporting they have deployed GAI tools to their workforce. After a year of frenzied experimentation and investment, executives will have to identify truly valid use cases (and ROI) for AI in 2024.

ROI 97
article thumbnail

3 key digital transformation priorities for 2024

CIO Business Intelligence

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO Business Intelligence

To be sure, enterprise cloud budgets continue to increase, with IT decision-makers reporting that 31% of their overall technology budget will go toward cloud computing and two-thirds expecting their cloud budget to increase in the next 12 months, according to the Foundry Cloud Computing Study 2023. growth experienced in 2022.

Strategy 127
article thumbnail

CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 134
article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

article thumbnail

It’s a new dawn of AI-powered knowledge management

CIO Business Intelligence

The 2023 State of the CIO survey reveals that 71% of CIO respondents anticipate greater involvement in business strategy over the next three years with 85% stating they were becoming more digital- and innovation-focused. But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality.

article thumbnail

Prioritizing AI? Don’t shortchange IT fundamentals

CIO Business Intelligence

Introduce gen AI capabilities without thinking about data hygiene, he warns, and people will be disillusioned when they haven’t done the pre work to get it to perform optimally. At the beginning of 2023, Gartner reported only 15% of organizations already have data storage management solutions that classify and optimize data.

IT 141