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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Taking a Multi-Tiered Approach to Model Risk Management. Understand why organizations need a three-pronged approach to mitigating risk among multiple dimensions of the AI lifecycle and what model risk management means to today’s AI-driven companies. Forecast Time Series at Scale with Google BigQuery and DataRobot.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

A retail company experiences a sudden surge in online sales due to a viral social media campaign. Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Many marketing and sales leaders acted rapidly and are already infusing generative AI into their workflows. Product development : Generative AI is increasingly utilized by product designers for optimizing design concepts on a large scale. Invest in data hygiene and collection strategies to keep your engine running smoothly.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. These experiences result in higher engagement, increased customer satisfaction, and ultimately, higher sales.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Descriptive analytics: Assessing historical trends, such as sales and revenue. SQL manages and retrieves data from databases, handling larger datasets.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications. Logistics & Supply Chain Two other industries where knowledge graphs are hitting the mark are logistics and supply chain management.