Are you excited about ChatGPT, or are you concerned about the direction generative AI might take us? Smilefish applies machine learning and AI to create ROI for our clients. Our standpoint is: AI is not taking away your job, but someone who understands AI might. Visit our latest data workshop!

The Data Fabric V2.7 release theme is the ability to talk to your data. Based on client input, we reprioritized our roadmap and added a Governance GPT for the admin and Python workplace for the data scientist.

Insight Living and Smilefish have joined forces to leverage AI for senior care innovation. RAFi (Resident And Family Intelligence) is the first application resulting from this collaboration, offering deep insights and automating operational improvements in assisted living and memory care.

DocBox is dedicated to achieving better patient outcomes through fully integrated IoT solutions in the ICU. Providing the Clinician's Assistant in Critical Care, DocBox empowers ICU physicians and nurses by connecting medical devices to its vendor-neutral medical IoT platform. Through ICU workflow automation and automatic data collection, DocBox frees up nurses' time from manual and error-prone data entry, allowing more time for quality patient care.

Smilefish announced the release of its Data Fabric Solution. The solution is designed to help businesses establish a single source of truth for their data, providing data governance, automation, and transparency, resulting in trusted and actionable assets ready for machine learning.

Insight Living and Smilefish have announced a strategic partnership aimed at using artificial intelligence to drive innovation in senior care. By jointly developing new AI anchored technology, they aim to accelerate care innovation in long-term care and residential settings.

Congratulations to Smilefish on successfully completing its AWS Partner Certification! This certification will further strengthen Smilefish's cloud capabilities and enable the company to provide customers with more secure, scalable, and reliable cloud solutions. Additionally, Smilefish and AWS have partnered to offer preconfigured versions of the Smilefish Data Fabric through the AWS Marketplace, making it easier for customers to access and deploy Smilefish's innovative data fabric solution.

Lead Research Group chose the Smilefish Data Fabric solution to accelerate the digital transformation of their leads business. Smilefish deployed the solution in the Amazon Web Services (AWS) cloud, following AWS's Well-Architected Framework to achieve operational excellence and meet best practices for security, reliability, performance, and cost control.

SeaNet, a company that offers Fractional Yacht Ownership and Yacht Sharing services throughout the United States and Europe, selected the Smilefish Data Fabric solution deployed on AWS to accelerate its digital transformation. Utilizing Smilefish's highly customizable mobile application templates, SeaNet is able to offer yacht owners a complete turnkey solution for the yachting lifestyle.

The Research and Development to create the National Emergency Tele-Critical Care Network (NETCCN) is a response to the critical shortage of critical-care trained clinicians during the COVID healthcare crisis. It is a growing network of clinical care teams that use network-enabled mobile devices such as cell phones, tablets, and computers to provide expert medical advice to patients in need, regardless of location.

The real estate market is undergoing a rapid transformation. ListingBox has partnered with Smilefish and AWS to provide disruptive data-driven solutions that will include advanced machine learning. Buyers and sellers are seeking process optimization to reduce closing times from months to a few days with an escrow time targeted at 5 working days.

Smilefish is a custom software development company based in Newport Beach, California. We are experts in data science, machine learning, and advanced cloud computing dedicated to helping clients establish an effective data culture that turns data into trusted, valuable and actionable assets.

This case study describes a data lake solution that we developed and continued to maintain for one of our digital marketing clients. It is our 3rd iteration implementing data lakes in AWS. This time, we are taking a completely serverless approach. The lake’s cost at rest should be minimal.