Business Intelligence Tools

- Overview

Recent developments in the field of artificial intelligence (AI) demonstrate the scale and power of the technology for business and society. However, businesses need to determine how to build and manage these systems responsibly to avoid bias and errors, as the scalability of AI technologies can have costly impacts on business and society. 

As your organization applies machine learning and automation to workflows using disparate datasets, it's important to have the right guardrails in place to ensure data quality, compliance, and transparency within AI systems.

- Business Intelligence Tools and Applications

Business intelligence (BI) tools collect, process and analyze large volumes of structured and unstructured data from internal and external systems. Data sources may include documents, images, emails, videos, journals, books, social media posts, files, and more. BI tools find this information through queries, which present data in user-friendly formats such as reports, dashboards, charts, and graphs. 

These tools can perform data mining, data visualization, performance management, analytics, reporting, text mining, predictive analytics, and more. As a result, employees can use this information to make better decisions based on forecasts, market trends, and key performance indicators (KPIs).

- Transform Enterprise Data Operations with Generative AI

Generative AI, a new set of artificial intelligence and machine learning algorithms that allow new content to be created from existing data, is taking the consumer and business world by storm. Its adoption is expected to rise rapidly, with the generative AI market expected to reach $110.8 billion by 2030. 

For individuals, use cases for the technology span creative, entertainment and practical, while for businesses, generative AI, deployed correctly and responsibly, has the potential to increase efficiency, reduce costs and increase profitability.

[More to come ...]