Does my business really need Machine Learning and AI?
How do I justify using Blockchain?

Getting technology selection right is vital for the success of any organization. We collaborate with our clients’ business and product leaders to make technology choices that have clear technical and business benefits and a demonstrable ROI. Working in diverse industries and a wide range of customers and projects, our experts evaluate and implement technology that is proven, cost-effective, and scales with your business.

Choosing the right technology can bring significant productivity gains to an organization but there are several aspects to consider before adopting a technology. It is important to select a proven technology that best fits your needs rather than the coolest new tech. Below are some stable, proven technologies worth evaluating for your business solutions.

Technology Selection

Domain Driven Design

Domain Driven Design (DDD) consists of a set of patterns and designs for building enterprise applications from the domain model out. DDD focuses on encapsulating complex business process into models. DDD brings domain experts and developers together to develop software that reflects the mental model of the business experts. DDD is a pragmatic approach to software development that can, over time, reduce the buildup of technical debt.

DDD addresses the strategic initiatives of the business. Not investing in a domain model in the development effort leads to an application architecture with a “Fat Service Layer” and an "Anemic Domain Model." DDD works well with building a foundation for microservices.

CLIENTS

Microservices Architecture

Microservices is an architectural methodology based on Services Oriented Architecture (SOA), that separates an application into loosely coupled, highly maintainable services. Services configured in such a manner provides many benefits including scalability, testability and isolation. It allows teams to work in parallel, independent of other domains/services within an application. With the recent shift of using cloud as a platform, microservices are built-in to the cloud fabric, making it easier to utilize microservices solutions. Often, DDD is used in conjunction with microservices, as this architecture is split between domain boundaries, providing a protective layer between models that define the business domain.

Deciding when to utilize microservices architecture for your project depends on several factors and is not a one size fits all approach. Some key things to consider would be:

  • A highly responsive independent service is desired.
  • Are you using a cloud hosting solution or dedicated servers?
  • One or two key pieces of the platform need to be extremely efficient and may require to be scaled up to meet current demand.
  • You plan to scale your dev team over time.
Technology
Clients

Cloud Infrastructure
Design

Cloud infrastructure refers to the hardware and software components - such as servers, storage, a network and virtualization software -- that are needed to support the computing requirements of a cloud computing model. Cloud computing is the general term for anything that involves delivering hosted services over the Internet. These services are broadly divided into three categories: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS).

Why Cloud Computing?

  • Scalability
  • Cost-effective
  • Immediately Available
  • Performance
  • Security

Serverless Computing

Serverless computing (FaaS) is a strategic deviation from traditional cloud hosting model — it is an event-driven setup without permanent infrastructure. This doesn’t mean servers are no longer involved, rather, it means that servers are auto-created on a per-need basis to scale to the demands of your app.

But for developers, what serverless really means is less time spent on operations, since they no longer have to worry about traditional server maintenance. The benefits of a serverless infrastructure really add up:

  • No more over capacity issues
  • Servers are autoscaling
  • You don’t pay for idle time
  • Consistent reliability and availability
  • No load balancing and no security patches
Technology

Experience

Big Learning -
AI/Machine LearningCLICK TO LEARN MORE

Big Learning
AI/Machine Learning

Artificial Intelligence (AI) initiates common sense, problem-solving and analytical reasoning power in machines, which is a difficult and tedious job. Machines and programs must have access to an abundance of information, properties, categories, objects and relations between all of these to act and react like human beings.

Machine Learning (ML) is a subset of AI. ML is a science of designing and applying algorithms that can learn from past cases. ML is dynamic and does not require human intervention. If some behavior exists in the past, then the algorithm can predict if it can happen again.

ML can be applied to solve tough issues like credit card fraud detection, enable self-driving cars and face detection and recognition. ML uses complex algorithms that constantly iterate over large data sets, analyzing the patterns in data and facilitating machines to respond different situations for which they have not been explicitly programmed. The machines learn from the history to produce reliable results. The ML algorithms use Computer Science and Statistics to predict rational outputs.

Experience

Blockchain

Blockchain is, simply put, an electronic ledger that keeps a record of transactions. It is a ledger system that can service an infinite number of transactions online. Blockchain is unchangeable and typically managed by a peer-to-peer network that collectively adheres to a protocol for inter-node communication and validating new blocks. Because one can only review and add to the content, the data is significantly more secure than previous methods of digital collection.

Although Bitcoin and other cryptocurrencies are the most popular examples of blockchain usage, this technology has applications in many areas including data management, healthcare records, financial transactions and asset management. Blockchain can make digital data more safe, secure and accurate.

Experience