Artificial Intelligence (AI) is critical to cloud-first transformation. By automating routine processes and enhancing them with intelligent capabilities, AI allows for more informed and accurate decision-making. However, as data volumes grow and AI use cases continue to expand, there is a pressing need to leverage modern capabilities in the cloud to power Business Intelligence (BI) initiatives.
Read on to uncover how you can turbocharge your Business Intelligence with AI in the cloud.
The Rise of AI in the Cloud
When leveraging AI’s power, choosing the proper infrastructure is vital to getting the most out of modern innovations. Since AI models and algorithms process vast data for effective outcomes, on-premises systems lead to several restrictions.
- Investing in, operating, and managing expensive hardware significantly impacts the quality and timeliness of computationally intensive tasks that use large language models.
- On-premises systems do not offer the level of scalability that today’s AI algorithms demand, leading to incorrect or biased results – especially when there is a sudden increase in computing needs.
- Rapid advances in AI technology cannot be handled by outdated and rigid on-premises configurations, leading to several issues across quality and security.
Deploying AI using cloud computing platforms is a great way for organizations to exploit the availability, scalability, flexibility, and accessibility of cloud resources.
- Cloud platforms offer powerful and unlimited storage and compute resources, essential for training and operating AI models.
- Cloud’s high-speed capabilities facilitate quick data processing and communication, enabling AI algorithms to deliver results.
- Since cloud platforms can automatically scale resources based on demand, they allow for optimal performance and efficiency of AI applications.
- With the cloud, organizations can eliminate investments in expensive hardware and leverage virtual resources on demand using a pay-as-you-go model.
- Built-in security measures in the cloud can protect data used for AI applications via encryption, access controls, and compliance.
5 Ways AI Powers BI
As organizations collect tons of data, turning this data into valuable business insights for business intelligence is critical. AI in the cloud can help unlock the actual value of data for BI initiatives and empower strategic and tactical business decisions.
AI models can collect, store, and process growing volumes of data and ensure clean, accurate, and updated data. BI tools can use this data to unearth analytical findings via reports, summaries, dashboards, graphs, charts, and maps and provide detailed intelligence about the state of the business. That being said, let’s look at the different ways AI powers BI:
- Automated data processing and cleansing: BI tools need access to clean and updated data for reporting and visualization processes. AI can automate data processing and cleansing, reducing the time and effort spent preparing data. By integrating data from various sources, detecting missing or erroneous fields, and standardizing data formats, AI can ensure data sets are ready for BI analysis.
- Access to more extensive and varied data sets: AI in the cloud can make larger and varied data sets available and accessible for business intelligence activities. From images and videos to content and audio, AI can process multiple forms of data, allowing BI tools to paint a fuller picture of the business question at hand.
- Faster decision-making across the board: AI enables users with no technical background to make the most of business intelligence and visualization tools. It eliminates the reliance on skilled data analysts for research and analysis, thus democratizing data access. Users across departments can use natural language to query data and receive relevant insights, allowing quicker, more autonomous decision-making.
- Pattern identification: With AI in the cloud, BI experts can more easily spot patterns and trends in multidimensional data sets quickly and precisely. Leveraging parallel processing, they can execute technical calculations much faster and integrate real-time data sources into business intelligence systems.
- Adaptive and self-learning: AI models can enable BI teams to have systems that learn as they go and adapt to new situations and circumstances – without explicit programming. By continuously improving the accuracy and relevance of data, AI can allow businesses to keep pace with emerging trends and changes and respond with agility.
Establish a Robust AI-enabled BI Program
To turn your data into valuable business insights, you must consider leveraging AI and visualization expertise. It is important to utilize the right tools and expertise to transform your data into actionable intelligence and power your strategic and tactical business decisions.
Business Intelligence is an art. Organizations that master this art :
- Bring best-in-class technologies and methodologies to solve complex problems and build scalable and extensible artificial intelligence and machine learning architectures for modern cloud stacks.
- Follow a research-based approach to develop new algorithms using automatic learning models and handcrafted customized algorithms to streamline natural language understanding, enable cognitive automation, and ensure intelligent processing.
- Establish a robust AI-enabled BI program and have advanced AI algorithms deliver the most accurate, updated, and consistent data for effective business decision-making.
- Enable intelligent data visualization using tailor-made solutions and get answers to the most complex questions and challenges.
