Remove Data Warehouse Remove Forecasting Remove Insurance
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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

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IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions

CIO Business Intelligence

Companies across industries have core requirements related to data security and governance controls, yet different industries have uniquely focused considerations. In healthcare, securing personal health data is key, governed by national standards laid out by the Health Insurance Portability and Accountability Act (HIPAA).

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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. zettabytes of data. FOUNDATIONS OF A MODERN DATA DRIVEN ORGANISATION. Insurance.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. Learn more about IBM watsonx 1.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. Stakeholders increasingly depend on results from data science teams.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes.

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Planning vs Forecasting: Four Key Differences

Jet Global

Many people use terms like “planning,” “forecasting,” “budgeting,” and “financial projection” somewhat interchangeably. When it comes to a plan vs forecast in particular, the line can be blurry. Let’s look at four key features that distinguish financial planning from forecasting: 1. Access Resource Now.