We have now launched an AI Studio specifically for the US based Healthcare startups with AI centricity. We are partnering with startups developing healthcare solutions with AI at the core of their solutions. Our mission is to help you scale and gear up to stay one step ahead from the rest and emerge as winners in the respective domain.
Our data storage solution for small business and startups is based on a combination of a single relational database, possibly in combination with a minimum size Data Lake for accommodating unstructured and high variety data, leveraging the schema-on-read flexibility. Major cloud platforms all provide very low-cost storage offerings. The BigRio team selects the best fitting platform based on the overall client needs. Some may emphasize NoSql solutions, others will favor certain managed analytic services. The reliance on Deep Learning vs. AutoML, vs open source libraries all weigh in during our evaluation.
Once raw data from multiple sources are gathered, a company can perform all types of Data Science projects with them.
Brute force crowdsourcing approach to data labeling is taxing enough even for well heeled enterprises. For a startup operation, the expenses and efforts are easily prohibitive. While Deep Learning exercises involve sample sizes in the millions, even Machine Learning models will require a minimum of 10’s of thousands of samples. Beyond the sheer numbers, the quality of labeling results is far from assured on the Mechanical Turk platform without a well designed cross-checking and validation methodology.
BigRio leverages the state-of-the-art semi-supervised techniques to enhance classification accuracy by a factor of 10 to 100 times, thus reducing the amount of labeling to below 1000 samples per experiment. Oftentimes, a PoC project can extract great values from data even without labeled data, by means of unsupervised learning, such as clustering and visualization, an area BigRio has a long established credential as an innovator.
Visualization technique applied to unsupervised clustering is used to investigate the effectiveness of battery charging cycle data for classifying battery aging behaviors.
The best approach to a business problem often goes beyond the well publicized Deep Learning and Machine Learning. The Bayesian school of statistical studies is still the most illuminating approach when it comes to getting a complete map of the underlying distribution, from which any insights can be derived, even as an afterthought. Many people in the analytics industry are familiar the basic formula:
An example would be, given a collection of spam and non-spam emails, can you predict the likelihood that the word “congratulations” serves as a trigger word. Advanced Bayesian modeling was first enabled during the Manhattan project with the advent of the ENIAC computer. In today’s world of unlimited computing power, techniques such as Gibbs Sampling can be efficiently applied with a small budget for a GPU machine on a cloud platform, or TPU in case of Google Cloud.
The wonders of Bayesian modeling go beyond distribution mapping for observed random variables. As often is the case, the hidden variables are the usually most powerful predictors. Think, for example, how a business would model the readiness of a consumer to pull the trigger on a shopping cart. While no single web analytics parameter such as time spent on a page can directly predict this readiness, a Hidden Markov Model can capture such a tendency as a numerical value, as well as highly valuable insights such as the Next Best Action to maximizes the effectiveness of a marketing campaign.
Our data storage solution for small business and startups is based on a combination of a single relational database, possibly in combination with a minimum size Data Lake for accommodating unstructured and high variety data, leveraging the schema-on-read flexibility. Major cloud platforms all provide very low-cost storage offerings. The BigRio team selects the best fitting platform based on the overall client needs. Some may emphasize NoSql solutions, others will favor certain managed analytic services. The reliance on Deep Learning vs. AutoML, vs open source libraries all weigh in during our evaluation.
Once raw data from multiple sources are gathered, a company can perform all types of Data Science projects with them.
BigRio builds all projects utilizing an “Agile without Religion” philosophy. Our flexible approach is based on the original text and intent of the Agile Manifesto, foregoing heavyweight “agile” methodologies aimed at larger, less flexible organizations.
This approach allows the team and stakeholders to efficiently collaborate and craft the process to best suit actual ongoing needs, which leads to a faster, more accurate output.
BigRio is a thought leader on Agile and hold Agile certification seminars; training the technical community in our approach to Agile development. Salient points of BigRio’s Agile methodology include:
BigRio delivers customized solutions and architectures that maximize results for clients – on time and on budget. We drive results with cutting-edge open-source and off-the-shelf technologies, pulling in the best tools and systems for each unique use case and environment.
We do not prescribe to a one-size-fits-all mindset, rather we examine currently adopted practices and adjust them where necessary. In general, for delivery methodology we place importance on:
All iterations or sprints proceed with non-functional requirements in mind. The BigRio team lead assures that we never deviate away from attributes highlighted by these requirements. With the modern tools and techniques we employ, there will be a boost to the “maintainability” of the system. With well-documented code and automated logging, we will have audit trails and granularity for monitoring quality.
To address clients’ requirements, BigRio will first conduct a discovery process to gain a deeper understanding of the use case and operating constraints. Technology and infrastructure choices will be proposed to support the needed functionality, latency, cost, and other constraints. Where possible, expected trade-offs between architectural and technology choices will be presented.
BigRio will present possible solutions to the client and work together to select the best option. Once a solution has been selected, BigRio will outline a proof-of-concept (POC) to demonstrate general functionality and to help identify any risks or other points of concerns within the solution. This POC will also be used to help create an implementation plan to guide the production rollout of the selected architecture, including identifying re-development or integration of current applications into the new environment. If the POC reveals concerns, then an assessment of those concerns will be undertaken to verify the viability of the approach in a production setting.
Discovery:
Solutions Generation:
Mutual Decision on POC scope and approach:
Initial model design:
Model training:
Conclusive findings concerning predictability of target problems:
Schedule will depend on project scope and team size, but we generally prove out a Proof-of-Concept (POC) in 14-22 weeks. We break up this Phase 1 into Phase 1A & Phase 1B in order to separate out strategic alignment from tactical go-forward.
2-4 weeks
To answer the currently known and other questions necessary to determine the appropriate implementation plan, we recommend an evaluation period, during which time an architecture team can determine, in tactical detail, the specific scope of work.
Execute on the deliverables and meet the milestones delineated above.
Our experience shows that collaboration is the key to success. We collaborate closely with the startup’s project and key decision makers to understand the details of the engagement. We utilize online communication tools effectively to keep everyone on the same page. Regular informal and formal updates, brainstorming sessions, lunch and learn webinars, and workshops are conducted to create engagement and ownership in the deliverables. Agility is the key with tech squads, two-week sprints, demos, retrospectives and grooming initiatives. We stay ahead of the curve working towards your success.