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8 questions CIOs should ask to prime their business for gen AI

CIO

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. In fact, insights from a recent Accenture survey found that nearly all (99%) executives said they plan to amplify their investments in the technology. So, what can CIOs do now?

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Crisis Management in the Digital Age: Lessons for 2024’s Unpredictable Economy

N2Growth Blog

Digital technology has become a guiding light in these uncertain times, taking on a more prominent role in companies’ strategic plans. Observing trends, assimilating data, and adjusting business models to preempt market shifts are aided by predictive analytics and business intelligence tools.

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OpenSensors secures $4M for air-monitoring platform which allows offices to be more COVID-safe

TechCrunch

OpenSensors, uses sensors to monitor air quality and light intensity, but it’s the data platform that is the real “special sauce” The startup’s technology works to reveal workplace and workforce conditions and patterns. ’s Women In Data event, said: “Initially it just started as a fun hobby project.

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Think Your Company Doesn’t Need a Chief Data Officer? Here Are 7 Reasons Why It Does

Cloudera

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). The CDO is an essential role in a data-driven organization. Without a data champion, the C-suite can overlook and even ignore data.

Company 75
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Integrating AI In Power BI: Know Why 44% Companies Trust AI for Better Decision-Making

Sunflower Lab

To stay competitive, industrial leaders need to make informed decisions based on a deep understanding of their data. However, traditional Business Intelligence (BI) tools can have difficulty handling modern industrial data complexities. Data scientists use this platform to build, train, and deploy advanced machine learning models.

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Should you build or buy generative AI?

CIO

CIOs want to take advantage of this but on their terms—and their own data. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data.