AI & Machine Learning

When you harness the power of automation, machine learning (ML), and artificial intelligence (AI), you can uncover new efficiencies, patterns, and forecasts from vast amounts of data. Implementing the right strategy and technology will balance innovation, speed, cost, and quality to deliver on your mission and goals.


At Akira, we believe that cloud is the enabler, data is the driver, and AI/ML is the differentiator. We bring them together to help you make smarter, faster decisions that help enhance your organization's ability to deliver on its mission —at scale. And because we understand that people are central to the success of any technology transformation, we bring the cross-functional skills to both deliver mission objectives and facilitate cultural change — empowering your workforce to use data and AI responsibly and effectively.

Forecasting Systems

Forecasting Systems


As a result, predictive analytics, a data mining technique, is used for predicting future outcomes by using data modeling. This statistical technique of using machine learning and data mining will help businesses predict and forecast likely future outcomes with the aid of historical and existing organization’s data.

With the rising need of having such established systems, our engineers can aid your organization build data science models that work fast, reliably, and complete their calculations in real time or depending on the complexity of the quantitative modeling. By analyzing historical events, using our well-developed technologies, companies can use predictive modeling to increase the probability of forecasting events, customer behavior, as well as financial, economic, and market risks. Incorporating our intensive knowledge in big data will assist in improving the dynamics of the customer-to-business relationship.

Fraud Detection

Fraud Detection


To prevent cyber fraud as well as transaction interceptions, fraud detection, a set of processes and analyses that allow businesses to identify and prevent unauthorized financial activity, have become very crucial.

Akira experts have professional experience in comprehending the full patterns of fraud. Since fraud is often committed through patterns, we can assist our customers develop fraud detection systems that use artificial intelligence to look for these types of patterns and send an alert when one is detected. Depending on the severity of the alert, we can develop features that can immediately block all activities immediately or send the alerts to specialized team evaluators for more investigation. Ensuring that your organization and customers are safe and secure will assist you in effectively utilizing your resources, protecting your brand, and preserving customer experience.

Recommendation Systems

Recommendation Systems


This makes it time-consuming for both businesses and users. To beat competitors, business can integrate recommender systems into their organizations so that customers can easily identify products or services they are looking for.

As a result, Akira experts who have worked in the software industry for a significant time can help build recommendation systems that can improve decision making process and quality for the customers. These systems will use algorithms relevant to your organizations that aim at suggesting relevant items to the users. The two approaches that can be integrated into your systems are the collaborative filtering methods, using the past interactions recorded between users and items to produce new recommendations, and the content-based approaches that uses additional information about users and/ or items that would enhance customer experience.

Underwriting Systems

Underwriting Systems


Having the capability to perform underwriting activities at scale, with agility, and in a reliable manner requires deep analytics and technical expertise. Modern underwriting systems leverage data science techniques to design, build, train, and retrain Machine Learning models to perform complex underwriting for a variety of financial transactions.     

Akira can help your organization design and develop these systems in a measured and thoughtful way, so that you can build the confidence and the capabilities along the way.

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Insights & Case Studies

Case Study - Migrating Complex SAS Processes to Databricks

Migrating Complex SAS Processes to Databricks | CMS

Akira used AWS cloud and modern, open-source/open-standard data technologies (Databricks & Python/Pandas/PySpark, Flake8) to migrate critical data processes from SAS to Databricks....

Case Study - Cloud Adoption Analysis and Cloud Service Provider (CSP) Recommendation

Cloud Adoption Analysis and Cloud Service Provider (CSP) Recommendation | FERC

FERC currently manages data set computations using on premise infrastructure and various departments relaying on its rapidly growing 14 TiB data warehouse for analytical tasks to be consumed enterprise wide...

Case Study - Modernization & Implementation of Enterprise Architecture

Modernization & Implementation of Enterprise Architecture | FERC

OIT provides IT services to EIA customers. OIT is responsible for providing IT infrastructure, application development and support and user services to over 600 Federal and contractor staff.....

Case Study - IT Policies Development and ServiceNow ITSM Implementation

IT Policies Development and ServiceNow ITSM Implementation | DOE

Office of Information Technology had no accepted or written policies for critical infrastructure management functions. Consequently, conflicting or unclear rules existed for decision-making and response actions...