5 Ways That Data-as-a-Service (DaaS) Will Accelerate Your AI Journey
Every AI story starts with data. Just as parents carefully provide their children with accurate and reliable information to help them navigate the world, developers approach data preparation for modeling with meticulous care. They gather, cleanse, and transform the data repeatedly until they achieve a satisfying format and content, to proceed confidently to the modeling step. That said, as time passes, it is nearly inevitable to encounter data challenges arising from the world’s dynamic nature. Phenomena such as data drift and concept drift will always be part of the equation, along with the emergence of new-generation data. Suddenly, you find yourself back at the initial step of your journey. That is where Data-as-a-Service (DaaS) can step in, providing valuable support throughout your data journey. Sometimes, it can even assume the role of a deus-ex-machina, offering solutions to your most challenging problems.
Whether you are a seasoned developer or just started to dip your toes in the AI waters, there are numerous ways in which DaaS can assist you. I have curated five compelling ways that can demonstrate the benefits of DaaS:
1) Quick Start on AI Projects:
Data preparation is arguably the most time-consuming component of an AI project. You need to know where to look, how to gather, and which sources are trustworthy, along with how to crawl and scrape from various sources.
DaaS provides a head start for your AI projects by offering pre-collected, pre-processed, and refined ready-to-use datasets, saving you valuable time and effort in the data gathering and preparation stages.
2) Offload Operational Worries:
Like a living organism, data is born, grows, and dies; that is almost always the logical expectation. Sources will change, new additions will be made, and new discoveries will make them irrelevant. Therefore, you must constantly manage, maintain and monitor your data flows and keep them up-to-date. With the increasing amount of input, that operational load will increase exponentially.
If you are sourcing your data from a DaaS provider, you don’t need to bother with the operational load of managing data. They carry most of the burden for you, and you can access various data from various sources as simple as selecting and ordering furniture from a catalog; the best part is you won’t wait as much for delivery, and you won’t need to assemble anything. Just use the API ( Application Programming Interface) provided, and you are good to go.
3) Cost Efficiency:
Data needs a space to reside, but why pay for a mansion if a generic living unit can fulfill your needs? As much as we treat the data as a living organism, it doesn’t need a comfortable place like us humans. In fact, efficiency is the key while storing and managing the data so that you are not using more resources than required. I also want to point out that if you aim for high efficiency, you won’t be just tightening your purse strings; you will also contribute to a greener environment by reducing your carbon footprint.
DaaS eliminates the need for substantial hardware investments. Instead of setting up and maintaining your data infrastructure, you can access data through the cloud-based DaaS platform. That reduces upfront costs and allows you to scale resources as needed, optimizing your cost structure while maintaining flexibility and scalability.
4) Data Recovery and Continuity:
When investing in something, it is preferable to seek reassurance, a safety net. Considering that data requires one of the most valuable and irreplaceable investments, which is time, companies are expected to employ ways to safeguard their data, such as backups and recovery systems, to prevent loss.
Data loss can be a significant setback in any AI project. However, with DaaS, you can have peace of mind knowing that your data is backed up and can be recovered at any time. DaaS providers implement robust data backup and recovery mechanisms, ensuring data continuity and minimizing the risk of irreversible data loss.
5) Focus on Innovation:
With data preparation, operations, and recovery is taken care of by your DaaS provider, you can allocate your time and resources to innovation and developing advanced AI models. Focus on exploring new ideas, experimenting with different algorithms, and becoming a pioneer in your field. Your DaaS platform will provide effortless access to the necessary data for your endeavors.
DaaS will put data at your fingertips. Just breathe in the technological revolution and breathe out the innovation.
https://www.kocdigital.com/en-us/solutions/external-data-service-daas
