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Want to Drive Industry Breakthroughs or Speed Up Innovation? Start by Optimising Your HPC and AI Workloads

CIO

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. According to Hyperion Research , HPC-enabled AI, growing at more than 30 percent, is projected to be a $3.5

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

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Radar trends to watch: January 2022

O'Reilly Media - Ideas

Artificial Intelligence and Machine Learning. AWS SageMaker Canvas claims to allow businesspeople to develop Machine Learning applications to solve business problems with no programming experience. Timnit Gebru has founded the Distributed AI Research Institute (DAIR). Connected Hardware (aka IoT).

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Now, let’s find out what specific optimization possibilities analytics can provide in each supply chain element. Optimization opportunities offered by analytics. Analytics in planning and demand forecasting. To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented.

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Predictive Analytics with Power BI: A Guide for CEOs for Encouraging Business Success

Sunflower Lab

Enhancing Customer Experience: Understanding their customer’s expectations and conducting predictive analytics provides CEOs with customer data to research so that they can personalize marketing and improve customer service. The customers may be happy with these services and would love to do business with you.

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HTNG: What Hospitality Technology Next Generation Is and How It Works

Altexsoft

The hospitality industry evolved into various businesses that propose different customer experiences by adopting new technologies, practices, and cultural trends. The adoption of, say, IoT devices gave us new ways to collect and process data. Machine learning allowed hotels and rental services to personalize offers and services.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Streaming, IoT, and time series mature.