The main advantage of Data Science for business is an accurate solution based on analyzing a massive amount of data that cannot be processed manually.
The process we’ve developed for taking an AI/ML project from conception to delivery spans 3 full days, broken down into 6 distinct steps.
We call this our Cloud Accelerator Programme - and businesses are generally surprised to discover that it’s completely cost neutral for clients whose digital transformation project will require a $750 monthly spend on the Amazon Web Services (AWS) platform moving forward.
Here, we’ll take a look at what each of those steps entails - as well as the time investment required for each part of the process.
If you’re reading this, you’re thinking about what artificial intelligence or machine learning could bring to your business. We can transition into your process at any stage, whether you’ve got fleshed-out ideas about how you could use AI/ML, some work done with another provider, or even if you’re just beginning to be aware of a buzz around AI in your industry and want to make sure you’re keeping pace.
However developed your ideas are, we recommend starting with a ‘discovery’ call. This is a chance for us to get to know your product, the technical capabilities you have in-house or through an external service provider, and your vision for how AI or ML can be deployed and scaled.
The process we’ve developed for taking an AI/ML project from conception to delivery spans 3 full days, broken down into 6 distinct steps.
We call this our Cloud Accelerator Programme - and businesses are generally surprised to discover that it’s completely cost neutral for clients whose digital transformation project will require a $750 monthly spend on the Amazon Web Services (AWS) platform moving forward.
Here, we’ll take a look at what each of those steps entails - as well as the time investment required for each part of the process.
AI and ML solutions are almost certainly going to be working hand-in-hand with intellectual property and sensitive data. As such, it’s never too early to think about best practices around security and recovery.
At this stage, we’ll connect again to discuss your existing security, disaster recovery, and data integrity infrastructure and compare it to the best practices and automation we’ve created to develop and streamline these essential factors.
Of course, managing future billing and cost optimisation in cloud-based AI/ML is also a crucial part of any decision-making process.
Embarking on an AI/ML project isn’t just about having the right tools - it’s about making sure your team is fully equipped to use them.
To ensure this is the case, we’ll design a half-day immersion programme specifically designed for your in-house team. The session will focus on relevant technologies that are part of your AI/ML journey and will blend theoretical understanding with hands-on practice.
With ideas developed, proven best practices in place and your team’s knowledge honed, we’ll spend a full day creating a tangible, working model of your AI/ML project within your AWS environment.
We’ll work with you to make sure the proof of concept (POC) or minimum viable product (MVP) that’s delivered aligns perfectly with your digital transformation objectives.
This stage also includes forward thinking about efficacy and scalability of your AI/ML solution.
Where prior immersion training was a simulator session, the final step of the process sees your project take flight and focuses on handing over the controls to your team.
To do this, we’ll use AWS’s exceptionally effective “Well Architectured Framework Review” (WAFR). The process looks at key concepts, design principles and structural best practices for running AI/ML workloads in the cloud.
Natural language processing can be used to support your business in many ways. Some of the benefits of NLP include:
We deliver highly cost-effective business solutions that meet the demands of the business.
Using micro-service architecture, we create easily extensive & scalable solutions.
We go above and beyond by offering 3 months of post-delivery maintenance & bug fixes to our valued clients.
We keep clients in the loop by leveraging project management tools to track & communicate progress.
The main advantage of Data Science for business is an accurate solution based on analyzing a massive amount of data that cannot be processed manually.
At DigiMark, we prioritize building meaningful relationships with both our clients and team members. We aim to create a positive impact through collaboration and mutual respect.
We approach challenges with a can-do attitude. Our team goes above and beyond, taking responsible risks to achieve focused excellence in all of our work.
We're passionate about what we do and always aim for excellence to succeed in our professional and personal endeavors.
We prioritize the end user as our central focus. We refine our methods through an iterative approach to achieve results with lightning speed.
Harness the power of modern algorithms with our expert team. Let us create cutting-edge applications that drive your business forward.
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