Common Sense. Consulting.

Digital Transformations need not be multi-year, complex and costly implementations!


Our Radial Thinking framework starts with problem definition, and expands to “What Wows” and “What Works”.

We dream with you and articulate your vision for the undefined.
We  focus on a specific area to carve out solution blocks for the defined.

The Problem
Stay longer with the problem and business objective
  • What are we solving – efficiency or experience?
  • Do we know what the priorities are?
  • Who are the internal stakeholders? Are they aligned?
  • Is this about staying relevant? Does it lead to ROI?
  • What are the trends?
  • What is the appetite for change across the value chain?
The Possibility
Inclusive approach to identifying the ‘To-Be’ state
  • Identify all the personas
  • Derive the customer journey mapping for these personas
  • Conduct interviews, record intents
  • Deep dive and explore ‘what else’ and ‘how else’?
  • What are the competitors doing?
  • Work through an Intent, Feasibility, Applicability matrix
The Solution
‘Learn Fast’ approach through MVPs, for experimentation 
  • Operate within the Technology Guidelines / Architecture Blueprint
  • Define metrics to measure the outcome
  • Line up Liquid Teams to execute
  • Create Focus Groups
  • Create cross functional teams to beta test
  • Run Hackathons and Explore Partnerships
  • Develop, Deliver and Decide
The Scale
Expand, Explore, Measure and continuously Improve
  • Metrics driven ‘go / no-go’ decision for MVP
  • Run A/B tests where applicable
  • Review / Validate the technology stack
  • Consider NFRs (non-functional requirements)
  • Production-ready implementation
  • Maintenance / Governance
  • Feedback Loop / Lessons Learnt

We work our way in, to help you work your way out. Leverage Radial Thinking to bring an iterative approach to digital transformation

IOT

Over a million new IoT devices are connected to the Internet daily, and these numbers are accelerating. By the year 2020, experts predict there will be as many as 50 billion IP-enabled IoT devices. We notice an increase in hardware manufacturers creating new connected devices, applications and business processes – which is resulting in varied products, services and workflows.

The success of connected devices, or connected environment, catering to real time and efficient decision making is dependent on accessing, storing and processing of data.

At RoundSqr, we can help you with your IoT journey spanning different phases:
  • Connect edge hardware, access points and data networks to other parts of the value chain
  • Design to store and process the data being generated from sensors, devices, gateways, machines, website, applications, customers, partners and other sources.
  • Architect a massively scalable, real-time event processing engine
  • Make the platform data format and product agnostic
  • Automate the environment to handle ongoing management tasks and data visualization
  • Generate a comprehensive and integrated perspective on customers

As the world becomes connected with an on-and-off switch, We believe that the amount of data available from the billions of sensors and the insights that can be derived will be staggering to businesses. We will help you unleash real time insights to enable you to make just in time decisions, reduce maintenance costs, avoid failures, and improve business operations.

DevOps

n today’s world, the speed at which software is produced and distributed to customers often determines the amount of value delivered. However, delivering software at a fast pace is not the only goal. If speed is not balanced with the right level of quality, systems crash. Frequent crashes will eventually slow businesses.

In the cycle of build, test, deploy and support, we work on software continuously for new functionality. All the parts are changing all the time. We can help you accelerate this cycle by intelligent automaton of the processes, leveraging open source tools and our experienced teams. Use data collected through the entire cycle to visualize work, evaluate problems & risks and make the necessary changes.

Our teams are well versed with all aspects of:
  • Development
  • Source / Version control systems
  • Build
  • Testing
  • Continuous Integration
  • Deployment
  • Collaboration
  • Release Management
  • Containerization
We believe that great software is delivered by leveraging the right tools and intelligent automation, that are used by hardworking people, backed by rigorous governance through leadership and purpose.
Great Software = Environment (tools, automation) + People (competent, hardworking) + Governance (leadership, purpose)

Explainable AI

It is about explaining the useful parts of an algorithm’s working that will improve human trust, such as:

Audit the data used for training the ML models to ensure that the “bias” is understood.

Understand the decision paths for the “edge cases” – False Positives & False Negatives.

Understand the robustness of the models – specifically in relation to adversarial examples

  • Need & Scope Definition
    • Help define an Explainable AI strategy that will help us pick the right candidates to maximize impact.
    • ROI and Use Case preparation
  • During Model Building
    • Understand and define the type of explanations expected out of the model
    • Design the architecture of the learning method to give intermediate results that pertain to these explanations.
  • Post Fact (Once the model is built)
    • Detect “bias” in the data used for training the model.
    • Use methods like LIME to provide “local” interpretability of features to outputs.
    • Game theory based models like SHAP (Shapley Additive Explanations) to interpret target models.
    • Understanding “robustness” of neural networks using adversarial techniques.