AI DEVOPS

DevOps for AI presents tremendous opportunities for all sizes of business organizations. If your team is composed of only a few software developers, you don’t wish to distract them from their prime task by asking them to put in a ton of efforts to build and support the infrastructure. For large organizations, AI/ML models require a fully tailored DevOps. Let us demonstrate how…

Key Data

Businesses that can gather and clean up as much data as possibly will be able to use it to solve real business challenges. The companies that have the most data are in the best place to win, but they have to make smart use of that information.

In the earliest days of rail transit, the railways first made sure they had the necessary coal mining infrastructure in place to ensure their continued viability in the marketplace. Similarly, in AI, data must be collected and cleaned before models can be formed with the data. This is often the very first step on the road to a corporate dominance in the marketplace.

Machine learning and AI technology

Data Science and Predictive Analytics

Building the Models Once companies have started collecting data, AI/ML engineers begin to be recruited. The data is used for further analysis and training of AI/ML models. Today, thousands of engineers are producing models. Major technology firms are deploying some of their templates, but the vast majority of investments in data science and machine learning are just for internal business intelligence reporting, nothing more. The purpose of AI is not just to produce powerpoint presentations… it’s to create value for your customers. The ultimate step of scaling up the trained models to production is intimidating and confusing for most business development teams.

AI/ML models are just like an engines and gears in a Train metaphor. They can use the data and make it work however, today, only the largest technology companies have built the infrastructure, and they’ve done so at a huge cost, both in initial expenses and operational costs.

These days, only the largest technology companies have built the infrastructure, and they’ve done so at a huge cost, both in terms of initial outlay and maintenance.

DevOps

Getting Models to Work in Production We have spoken with many large organizations that call their AI/ML deployment infrastructure as Frankenstein. The infrastructure that has evolved for deploying traditional applications is not optimized for the organizational challenges of deploying AI/ML at scale.

As the infrastructure became standardized, technically capable and cost-effective, it triggered a network effect that transformed everything.

We understand that AI infrastructure, which moves models from development to production, is the last mile: it transforms everyone’s knowledge of AI/ML into a true return on your investment.

Integration and automation

Continuous Improvement Once the infrastructure and practices are in place, allowing ML scientists and engineers to push models and algorithms in the language of their choice into highly scalable production, scientists can iterate on their model quickly with the live data they get from users.

AI will be just the same. We just need to establish these connections first.

Key Data

Businesses that can gather and clean up as much data as possibly will be able to use it to solve real business challenges. The companies that have the most data are in the best place to win, but they have to make smart use of that information.

In the earliest days of rail transit, the railways first made sure they had the necessary coal mining infrastructure in place to ensure their continued viability in the marketplace. Similarly, in AI, data must be collected and cleaned before models can be formed with the data. This is often the very first step on the road to a corporate dominance in the marketplace.

We are always happy to hear from you to help you find the best way forward.

Contact Us

Enhance every aspect of operations and R&D initiatives.┬áTogether let’s see how Artificial Intelligence can help your organization.

Our address

45, Rue Wauthier 78100 Saint-Germain-en-Laye

Our e-mail address

contact@diversiti.fr

Phone

+33 7 89 67 87 91

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