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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

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The new CIO mandate: Selling AI to employees

CIO

That’s because employees have decidedly mixed feelings about AI coming to their workplaces, according to the recent survey by IT solutions integrator Insight , even as many enterprises are already adopting or experimenting with AI and as AI-enabled phones begin hitting the market.

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11 most in-demand gen AI jobs companies are hiring for

CIO

A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41% are engaged in training and upskilling employees on gen AI.

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10 most in-demand generative AI skills

CIO

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

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Where’s the ROI for AI? CIOs struggle to find it

CIO

Difficulties estimating or demonstrating the value of AI technologies to the business have been or will be a top barrier to their implementation, according to a recent Gartner survey of more than 700 IT leaders at organizations that have adopted or plan to adopt AI. Close behind were machine learning and natural language processing.

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Exposure to new workplace technologies linked to lower quality of life

CIO

The Institute for the Future of Work surveyed over 6,000 people and examined how four types of technologies that are becoming more common in the workplace affected their well-being. Fewer than 25% of those surveyed frequently used these emerging technologies, with 20.2% using wearables, 20.8% AI software, and 23.7%

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. What is MLOps and how does it drive business success?