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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".

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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. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. . Let’s talk.

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Unlocking the Power of AI and Automation in Life Science: An Enterprise Modernization Journey

Apps Associates

The Life Science industry is experiencing a revolutionary transformation through the application of automation, helping to modernize critical areas of operation such as Research, Supply Chain and Regulatory compliance. Automation has the ability to reduce costs, boost productivity, and enhance quality control for Life Science organizations.

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Five Trends for the Financial Services Industry to Track in 2021

Cloudera

Deloitte emphasizes that going forward, financial services will need to have “greater focus on agility and efficiency, flattening hierarchies, speeding up decision-making, empowering staff, creating flexible work environments.” Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future.

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Brick and Mortar Stores are Now Built Brick by Brick with Digital Insights

Cloudera

Maximizing Supply Chain Agility through the “Last Mile” Commitment. In my earlier blogs, we demonstrated some pretty remarkable benefits from the use cases associated with improving customer insight (producing relevant offer response time) or improving supply chain agility (saving nearly $21m/year in product delivery costs).

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11 Most Effective Data Analytics Tools For 2020

Altexsoft

It’s a well-known business mantra that receives a brand new layer of importance in the 21 st century. The reason is simple – people and organizations produce massive amounts of information daily, but only the most agile companies make use of it to analyze consumer behavior and improve business outcomes. Data import capabilities.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Today, consumers’ preferences are changing momentarily and often chaotically.