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Nilesh Kanawade

Head of Innovation

Nilesh Kanawade is a seasoned information technology leader with more than 14 years of experience, adept at conceptualizing the business impacts of technology projects and implementing innovative solutions to complex technical and business challenges.

His expertise lies in building and leading professional teams, with a focus on Cloud Infrastructure (AWS), Containerisation (Docker and Kubernetes), and the implementation of DevSecOps Culture to enhance technical agility and reduce software delivery time.

Nilesh has a robust background in 'Platform as a Product' implementation, reducing developers' cognitive load, and has effectively led Site Reliability Engineering teams, showcasing his ability to coordinate seamlessly with internal and external partners.

His leadership skills encompass a wide range of qualities including analytical thinking, effective communication, adaptability, and global team management, among others. As a System Engineer, he is proficient in Cloud Computing (AWS), Containers (Docker), Orchestration (Kubernetes), and various tools such as Prometheus, Grafana, and AWS CloudWatch for observability and incident response.

In his software engineering capacity, Nilesh is well-versed in Java, Python, and JavaScript, showcasing a diverse skill set across different technological domains.

Highlights

Jul 2 · linkedin

Software is Going to Eat the Services 🚀

I recently attended a TGB event where the phrase "software is going to eat the services" really resonated with me. As I reflect on this, it's clear that this transformation is not just a future prediction—it's happening now. ⏳

Scenarios Where Software is Revolutionizing Services:

  • Healthcare: Telemedicine platforms are enabling doctors to provide consultations remotely, improving access to healthcare services. AI-driven diagnostics are also enhancing the accuracy and speed of medical assessments.

  • Finance: Robo-advisors and automated trading systems are reshaping investment management. AI algorithms analyze vast amounts of data to provide personalized financial advice and optimize trading strategies.

  • Customer Service: Chatbots and virtual assistants are handling customer inquiries 24/7, providing instant support and freeing up human agents to handle more complex issues.

  • Education: E-learning platforms and AI tutors are making education more accessible and personalized, catering to the individual learning pace and style of each student.

The Role of AI and Generative AI:

  • Automation: AI is automating routine tasks, reducing the need for human intervention and increasing efficiency across various service industries.

  • Personalization: Generative AI is creating personalized content and experiences, from custom marketing materials to individualized learning modules.

  • Innovation: AI is driving innovation by analyzing trends and patterns, helping businesses develop new services and improve existing ones.

As software continues to integrate with and enhance service industries, we're witnessing a significant shift in how services are delivered and consumed. The possibilities are endless, and the pace of change is accelerating.

What are your Thoughts?

TransformHub Nischal Tanna Bala Kishore Pasumarthi Mayur Tanna Abhinav Singh Sonal Tanna Sunny Augustine

Mar 7 · linkedin

In today's world, Large Language Models (LLMs) have become increasingly popular and widely adopted across various industries. Businesses rely on them for a vast range of informational needs. However, despite their vast knowledge base, LLMs often provide answers that are too generic and lack specific context. Additionally, their information can become outdated quickly, failing to keep pace with the rapid changes and developments in various fields. This is where the need for Retrieval-Augmented Generation (RAGs) becomes evident.   What is RAGs? Retrieval-Augmented Generation (RAG) combines the power of Large Language Models (LLMs) with the ability to search and use the most current information from external databases or the internet. It's like having a smart assistant that can research and learn new things on the spot to give you the most accurate answers.   Hot to Use them? Using RAG involves 3 steps:

  1. Query: You ask a question or make a request.
  2. Retrieve: The RAG system searches for and retrieves the latest relevant information from external sources.
  3. Generate: It then combines this information with what it already knows to generate a detailed, up-to-date response or document.   See below Swim lanes to understand the flow of request.   Benefits
  • Accuracy: Get responses that reflect the latest research and data.
  • Relevance: Receive information that's specifically tailored to your query, including the most recent developments.
  • Efficiency: Save time on manual research with an AI that brings the latest findings to you.
  • Informed Decision-Making: Make better decisions with insights based on the newest information available.   RAGs bridge the gap between static knowledge and dynamic information needs, making them invaluable for anyone needing current and comprehensive insights.

TransformHub Nischal Tanna Bala Kishore Pasumarthi Mayur Tanna Abhinav Singh Sonal Tanna

#LargeLanguageModels #rag #TechnologyTrends

Related Questions

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Nilesh Kanawade
Nilesh Kanawade, photo 1
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Singapore