Pratyush Nutalapati

    I classify Decision Systems at a very high level as Simple/Narrow, Near Human and Beyond Human. Decision is about classifying what you have in the front and be able to pick the one that is best for the context. Lets get into more details of what each of these category of Systems are - Simple/Narrow Most of the decision systems that are available currently are focused on Simple/Narrow versions of AI such as Alexa, Siri, Autonomous Cars, and many more. These decision systems are able to handle huge amounts of data and make complex calculations very quickly. They take a situation or event they are trained for and provide the same response every single time - They are trustworthy once we get decisions that we expect from the given situations that we trained them for. These Systems will have no context or snapshot of past interactions or memory and operate on the per-programed representations of the world. Near Human The decision Systems are more advanced that apply their limited memor

  Scale globally –  Build all the components with global in perspective and design for reuse - Languages, currency and metric conversions User experience  -Intuitive, simple use, best-in-class UX aligned with the brand Data integrity –Respect and utilize Enterprise source of systems of record API first - Create foundation reuse, plug & play building blocks, and near real-time data exchange Cloud first  - Cloud based, Software as a Service, IaaS for cost savings and efficiency  Responsive / Mobile  - Supports all form factors, Responsive UX, Device agnostic Reliability –Error Handling / Monitorable / Proactive issue Automate – Build simplified tools that promotes automation and seamlessly integrate to other tools, thereby reducing manual work and generating operational efficiencies   Synergize –Breakdown process/data silos & leverage existing solutions before seeking out new tools, applications, integrations, product vendors, and data. Robust Integration  -Flexible, reusable, lo

  We all have moved organizations and teams over our work life. Navigating as a leader in the new organization or department is extremely important to be a transformational leader to build passion, energy and teams that innovate continuously.   > Need to invest considerable time and emotional energy in the process to understand the current culture and setup > Need  a multi-level approach: focus on individual, team and organizational (i.e. culture, strategy) levels > Exercise influence without relying on formal hierarchy is a valuable skill > Team Behavior Analysis > Call out > Values and mapping the clashes > Interests and Perspectives > Collaboration can be enhanced by actively managing conflict > "How are you feeling at this point about the discussion?" > Team need to know you care and are aligned to help them grow and be successful to build followership   Most important as a leader is to create trust in the team that the new proposed changes

The route to market can be challenging if you are planning to launch a new product and want to assess the feasibility.  Sharing my approach to help you maximize the value of a portfolio or proeucts identified through a combination of analysis and research to drive the phased approach to go-to market.   #1 Market Landscape Assessmen t Start with initial research on the overall size, market trends, etc., for the local and global market. Consider options for application spaces that are critical for successful launch such as Personal Care, automation, Industrial & Institutional, etc. As part of this also learn what is the  pricing strategy applied if there are any competitors in the space and their perceived value. #2 Market & Customer Research Immersion Build a view based on the review of market opportunity and create insights stemming from primary and secondary research. Identify an application space that emerges as a clear leader with promising sub-applications