Distributed AI (DAI): Maximizing AI’s Learning from Every Data Source

Future-Proof Your Business: AI That Connects All Data Dots

Beyond Data Warehouses: Minimize data management expenses with smart AI integration.
Secure a competitive edge with advanced AI analytics.

Faster, more informed decisions across all business areas.

What is Distributed AI (DAI)?

DAI decentralizes AI processing. By integrating AI across various business units, it is enhancing decision-making right at the source of data collection. This approach not only speeds up the analysis process but also fortifies data security by distributing processing tasks.

DAI simplifies complex operations, providing executives like You with real-time, actionable insights across the entire business landscape.

Key Business Advantages of DAI

Efficient Data Management

Move away from centralized data storage, embracing localized AI processing to reduce costs and simplify data handling.
Reduced Data Warehousing and processing costs

Distributed AI significantly cuts down on the extensive costs and complexities associated with traditional data warehousing. It reduces data transfer expenses.
Innovative Insights

In scenarios where data harmonization is impractical or impossible, Distributed AI can process diverse data sets at multiple points, unlocking new perspectives and innovative solutions.
Enhanced Data Security

Localized data processing minimizes the risk of large-scale breaches as no data is moved, offering a more secure approach to data handling.

Our exploration into the cutting-edge realm of Distributed Artificial Intelligence with an expert

Distributed AI – Live predictions for banking and enterprises (part 1)

Distributed AI – Live predictions for banking and enterprises (part 2)

DAI in Banking

30% decrease in unauthorized transactions

This reduction is estimated based on how much more effectively DAI can identify and respond to these transactions compared to traditional systems. The result is significant savings and increased trust from customers. The estimation considers factors like improved detection rates and the prevention of potential losses.
Improved loan approval rates and lower default risks

This technology opens doors to new customer segments, particularly those who lack extensive credit histories but are financially responsible. By tapping into these new segments, banks can expand their customer base and diversify their portfolios.
Heightened engagement, leading to more opportunities

Banks employing DAI in customer service can expect heightened engagement, leading to more opportunities for selling additional products and services. This tailored approach also improves customer retention, as clients feel more understood and valued.

Speednets Expert AI Services: Tailored Solutions for Your Business

Business assessment, identifying the biggest business problems and opportunities
System Assessment: Evaluating your current AI readiness and potential areas for integration.
Custom Solution Development: Tailoring AI solutions to meet your specific business needs.
Integration Support: Seamless incorporation of AI into existing systems.
Continuous Improvement: Ongoing optimization of AI applications.
Training and workshops to optimize DAI use in your organization, tailored for Architects and Business Representatives.