While 66% of industry leaders predict that AI will be an integral part of their business within two to three years, AI workflows are still a potentially daunting exercise depending on an organization's data maturity. Solid AI strategies, change management and associated upskilling are necessary to mitigate risk from a resourcing and guidance perspective.

In order to truly take advantage of the modern data stack, organizations require reliable automation across the AI pipeline to streamline development. 

Enter the Fosfor Decision Cloud. The Fosfor Decision Cloud empowers users to organize data, build impactful AI applications and make more outcome-focused business decisions in real time. 

As Fosfor’s exclusive data movement platform, Fivetran powers the data-to-decision journey that Fosfor enables. With its 500+ fully-managed connectors, Fivetran moves data from any source to enable Fosfor to extract deeper insights, facilitate more impactful decisions and ultimately — create better business outcomes. 

Together, Fivetran and the Fosfor Decision Cloud’s three modules achieve automation for the four critical stages of the AI pipeline: 

• data aggregation
• data engineering 
• ML model preparation and training
• insight generation 

Data aggregation

Siloed, ungoverned data is one of many reasons why AI/ML projects never come to fruition. You can invest in technology to operationalize GenAI, for example, but if the technology doesn’t have access to clean, ready-to-use data, you’ll miss out on pertinent intelligence or worse, receive misleading intelligence. 

Additionally, data engineers currently spend an outsized amount of time on data cleansing and munging in preparation for these workflows — distracting them from driving impactful business outcomes. 

Fivetran, the global leader in data movement, automatically moves data from any source into any destination to simplify your data aggregation requirements. 

Fully managed with 99.9% uptime, Fivetran’s connectors keep data flowing reliably so it's ready and accurate wherever and whenever you need it. This allows your AI workflows to derive insights from all of your data without the building and maintaining of pipelines draining your time and resources. 

Data engineering

The hardest part of AI isn't the training of the LLM, it's creating the data framework used for training. You need to get the required data into one place, properly formatted and accessible — all while maintaining governance. 

After all, your engineers can't focus on advanced analytics if their time is spent struggling to achieve and maintain data access. 

The Fosfor Decision Cloud’s Data Designer Module enables the effortless curation of your organization's data. It streamlines the integration of data from diverse sources and helps build modular, cloud-agnostic and reliable data transformation pipelines at speed and scale. 

AI/ML model preparation and training

Getting the data right is only half the battle. According to VentureBeat, 87% of models fail to reach production. This is primarily attributed to the inability of these models to scale and the lack of visibility over the model lifecycle post-deployment. 

The Fosfor Decision Cloud’s Insight Designer module solves for speed and scale by accelerating the preparation, building, training and deployment of high-quality ML models. 

During post-deployment, ML engineers can also monitor their models for drift, thereby ensuring model quality does not deteriorate over time. This vision of the complete model lifecycle ensures that AI projects deliver on their business promise. 

Drawing insights

Business user adoption is still a challenge for AI projects. This is largely driven by the lack of an intuitive interface that allows users to interact with data in real time, rather than wait for data-heavy reports (which could take weeks to prepare).

The Fosfor Decision Cloud’s AI-powered Decision Designer module allows business users to talk to their enterprise data using natural language powered by generative AI and semantic search. Moreover, Decision Designer uses AI to flag unknowns or the business anomalies that need immediate attention, thereby saving potential losses to business.

Conclusion

By unifying and automating these critical components of the modern data stack, Fivetran and Fosfor Decision Cloud provide the data foundation for more innovative AI projects. 

This partnership helps customers solve for the entire data-to-decision cycle in a much faster, secure and governed manner than ever before.

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