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AES enlists AI to boost its sustainable energy business

CIO Business Intelligence

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market.

IT 117
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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. Identifying the problem.

Marketing 363
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IT spending in the MENA region will grow 5.2% this year

CIO Business Intelligence

According to Gartner, IT spending in the Middle East and North Africa (MENA) region is forecast to total 193.7 Regulatory complexities and infrastructure gaps pose challenges to IT spending, hindering innovation and market entry. billion USD in 2024, an increase of 5.2%

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Will Predictive Analytics Help Forecast Profitable IPOs for Stock Traders?

Smart Data Collective

A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. In theory, IPO investors have more opportunities to outperform the market then investors looking towards more established stocks.

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Why Data-Driven Outsourcing Can Be a Massive Win for Your Business

Smart Data Collective

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Global companies spent over $92.5 Here’s why.

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How generative AI will revolutionize supply chain 

IBM Big Data Hub

AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-making. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

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Understanding Demand Forecasting And Then Mastering It

BizAcuity

Additionally, with rapidly evolving market conditions, it has become vital for businesses to stay prepared and anticipate the future. To cater to these fast-changing market dynamics, the practice of demand forecasting began. The Need For Demand Forecasting. The Science Behind Demand Forecasting.