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Tilak Mitra

Digital Transformation Officer at AWS | Ex-CTO & Distinguished Engineer IBM | Ex-CTO Industry X.0 Accenture | Speaker | Book Author

Tilak Mitra is a prominent figure in the development of youth cricket in the United States, currently serving as the Youth Cricket Coordinator at USA Cricket. He has been instrumental in establishing Zonal Youth Committees aimed at organizing competitions for various age groups, including U13, U15, and U17, enhancing the youth cricket pathway across the nation.2

Background and Experience

  • Cricket Involvement: Tilak has been actively involved in cricket since 2003, playing first division cricket in South Florida and captaining a successful team in the local league. He is also a co-founder of the Young Genius Cricketers Academy (YGCA), which aims to nurture young talent in cricket through structured training and competition.1
  • Professional Career: In addition to his role in cricket, Tilak works as a Digital Transformation Officer at Amazon and has authored several books on systems architecture and methodologies.13

Contributions to Youth Cricket

  • Under his coordination, USA Cricket has launched initiatives to foster youth engagement in cricket, including organizing tournaments and creating a robust competition framework that involves over 350 teams nationwide.2
  • His leadership is recognized as pivotal for the success of youth cricket programs, contributing to the growth of the sport in the U.S., especially with significant events like the T20 World Cup co-hosted by the USA and West Indies scheduled for 2024.12

Tilak Mitra’s commitment to developing cricket among youth reflects a broader vision to elevate the sport's status in America, making it accessible and competitive on both national and international stages.

Highlights

Aug 15 · linkedin

While there are many challenges to combat in building AI responsibly, bias, in my opinion clearly is a multi-dimensional problem to address. Bias, in AI, can be introduced in a multitude of ways:

  1. Data bias - where the training data is skewed heavily towards a particular class of representation while omitting or under-representing other groups;
  2. Algorithm bias - where the model chooses performance over accuracy and fairness;
  3. Usage bias - where the way humans interact with the models makes the model perform better for some particular groups as opposed to others; and
  4. Bias amplification - where models may amplify and perpetuate existing societal biases, if not properly designed and monitored, leading to unfair treatment or discrimination against certain groups, even if it was not intentional. Increased adoption of AI increases the risk of bias amplifying further, especially through social media platforms.

Business, IT, Data Scientists, and Data Engineers will need to harmoniously work to make a conscious effort to eliminate and reduce bias in AI-based systems. Proper and commensurate governance needs to be institutionalized to ensure its adoption and adherence.

Here are a few techniques that can be employed to control bias:

  1. Ensuring diverse and representative data is used for training AI models. 
  2. Perform periodic audits of the algorithms and models for potential biases; 
  3. Incorporate fairness metrics and constraints into the AI development process;
  4. Promote transparency and explainability in AI systems to understand their decision-making processes; and
  5. Involve diverse stakeholders and communities in the design and deployment of AI systems.

These techniques will help to continuously monitor and update AI systems to address emerging biases.

#ai #generativeai #genai #analytics #ml #machinelearning #responsibleai #dataanlaytics #bias

Aug 14 · linkedin

We are all either jumping onto the Generative AI (GenAI) bandwagon or have already been riding on it for a while! Often times, it may be worthwhile to take a step back and understand the progression and the different types of ML techniques, which are still very much in business and are precursors to GenAI. Let us jog our memories on them for a minute.

Supervised learning - a technique that uses labeled training data to train a ML model. The goal is to learn a mapping function that can predict the output for new, unseen input data. Two forms are classification (e.g.; mail fraud, image classification) and regression (e.g.; house price prediction, weather forecast).

Unsupervised learning - a ML technique in which the training data is not labeled. The goal is to discover inherent patterns, structures, or relationships within the input data. Two forms are clustering (e.g.; customer segmentation, targeted marketing) and dimensionality reduction (e.g.; big data visualization, structure discovery).

Reinforcement learning - a deep learning ML technique that uses semi-supervised learning, i.e.; only a subset of the data is labeled. In this technique, the machine is given only a performance score as guidance and semi-supervised learning, where only a portion of training data is labeled. Feedback is provided in the form of rewards or penalties for its actions and the machine learns from this feedback to improve it decision-making over time. Reinforcement learning is broadly useful when the reward of a desired outcome is known, but the path to achieving it isn’t—and that path requires a lot of trial and error to discover. Example applications are in self-driving cars.

These techniques are the precursors to Generative AI.

Generative AI is a subset of deep learning. It is a self-supervised training technique, which can adapt models that are built using deep learning without needing to retrain or fine-tune them. Generative AI is capable of generating new data (hence the name 'generative') based on the patterns and structures learned from training data. Generative AI can create new content, including conversations, stories, images, videos, music, and code. There are use cases and applications of Gen AI in pretty much all industries!

#genai #generativeai #ai #ml #machinelearning #aiml #analytics

Related Questions

What inspired Tilak Mitra to start the Young Genius Cricketer’s Academy?
How has Tilak Mitra's cricket career influenced his role at USA Cricket?
What are some of the achievements of the Young Genius Cricketer’s Academy under Tilak Mitra's leadership?
How does Tilak Mitra balance his role at Amazon with his cricket coordination duties?
What are the future plans for youth cricket in South Florida under Tilak Mitra's guidance?
Tilak Mitra
Tilak Mitra, photo 1
Tilak Mitra, photo 2
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Location

Pompano Beach, Florida, United States