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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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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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User Interviews, which helps companies recruit survey participants, raises $27.5M

TechCrunch

Customer satisfaction and market research surveys have response rates ranging around 10% on the low end, and many user experience researchers say that they don’t have enough time for analysis of the results. Anyone can sign up to participate in a User Interviews-facilitated survey; more than 2.4

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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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TechCrunch+ roundup: New VC rules, AI biotech investor survey, Instagram ad case study

TechCrunch

Biotech firms widely use AI and machine learning to reduce R&D spending and bring products to market faster, but “the bigger question for investors is getting a better understanding of what exactly AI is attempting to model and predict,” says Shaq Vayda, principal at Lux Capital. general partner and head of healthcare, B Capital.

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A history of tech adaptation for today’s changing business needs

CIO

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. Externally, it’s seen a steady increase in customer satisfaction surveys, revenue, stock price, and ratings as the most innovative provider in the market research industry.”

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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?