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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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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. .

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Announcing the 2021 Data Impact Awards

Cloudera

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. DATA FOR ENTERPRISE AI. PEOPLE FIRST. A new award category for 2021. DATA FOR GOOD.

Data 68
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Five Trends for the Financial Services Industry to Track in 2021

Cloudera

Here’s my take on some of the trends specific to the impact that data, analytics and AI/ML will have as we look at the year ahead. . Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future. Trend #3: Fighting Fraud with Data and Machine Learning.

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Express Cloudera POV on 2021 data trends in insurance

Cloudera

Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. . We predict cloud transformation projects are likely to accelerate in 2021, because building a foundation in the cloud allows insurers to rapidly and cost-effectively implement advanced analytics and automation tools. .

Insurance 106
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming.

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

Cloudera

For merchants, the ability to capture shelf, rack, table, and bin inventory levels allows them to prevent out-of-stocks (lost sales), monitor merchandising (display, pricing, promo, POG), meet compliance initiatives, and share these new insights with trading partners they may have.

Retail 72