AI Powered Recommendation Engine

Host & Speaker: Praveen Kumar

Speaker: Ankur Gupta

As per Gartner, Global business value derived from artificial intelligence (AI) is projected to total

$1.6 trillion in 2022

2017 2018 2019 2020

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2021 2022

Artificial Intelligence – To begin with….

Just to Start….

▪ The term AI was invented in 1950s. An acceleration lately because

of two main factors.

• Exponential growth in computational power

• Exponential growth in available data

Some real-life examples….

▪ Smartphones with spell-checks

▪ Siri, Google Assistant, Alexa

▪ New iPhone X is all about ML / face-recognition

How “real” is AI for my business?

Some of the business questions……

▪ Can I forecast better with AI?

▪ Can my warehouse operations be more efficient?

▪ How will it help my sales team close more deals than ever?

▪ Will AI powered Chat BOT reduce my customer services cost?

Some of the implementation questions….

▪ How do we start? Do I have AI skills?

▪ How my existing IT/application infrastructure will be used? What is right AI tool-set?

▪ How much automation and intelligence can be achieved, and what is the ROI?

▪ Do I have required data or data-set for AI to be effective?

How “real” is AI for my business?

Some of the business questions……

▪ Can I forecast better with AI?

▪ Can my warehouse operations be more efficient?

▪ How will it help my sales team close more deals than ever?

▪ Will AI powered Chat BOT reduce my customer services cost?

Some of the implementation questions….

▪ How do we start? Do I have AI skills?

▪ How my existing IT/application infrastructure will be used? What is right AI tool-set?

▪ How much automation and intelligence can be achieved, and what is the ROI?

▪ Do I have required data or data-set for AI to be effective?

Of course!!! But to answer “BY WHEN”, more digging is required

Organizational Change Management is the other 50%

How to start AI journey? – The 5 Pillars

General ManagersGeneral managers to be educated covering the usage and benefits of AI. “trust” needs to be there that machine will solve a problem. They become the translators or promotors.

Employees

Employees to be motivated for adapting innovative technologies like AI as they will be the drivers

Skills & PartnersPartners to facilitate the road-map planning, first few POCs/Pilots and work with GMs and Employees for implementation, Growing AI skill base

DataNeed sufficient data not “huge amount of data” and ML will learn as the data set improves

Environment & AlgorithmsAvailable by Google, Amazon, Microsoft, Salesforce and many other companies via cloud

Take the Lab approach

Work with Partners

Get business involved

Prepare to Fail Fast

Realize the VALUE and Accelerate

Artificial IntelligenceAI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. These machines are programmed to "think" like a human and mimic the way a person acts.

Machine LearningMachine learning is a category within the larger field of artificial intelligence that is concerned with conferring upon machines the ability to “learn.”

Deep Learning

Deep learning is a subset of machine learning, uses neural networks

About AI, ML and DL

Machine Learning

Supervised Learning Unsupervised Learning Semi-supervised Learning Reinforcement Learning

Continuous Target Variable

Categorical Target Variable

Target variable not available

Regression

Stock price prediction

Classification

Medical Imaging

Clustering Association Classification Clustering Control

Customer Segmentation

Market Analysis

Text Classification

Lane Finding on GPS data Driverless Cars

Target variable not available Categorical Target Variable

Types of ML

Supervised Learning

Natural-language processing

Unsupervised Learning

AI Tool-set

The Drivers…..

▪ Area of business operations

▪ Existing & Future technology Landscape

▪ Current skill-set / skill-level of the team

▪ Operational strategy – Open Source or COTSClassification Regression Clustering Association

• Apache OpenNLP• Gate and Apache UIMA• Natural Language Toolkit• Stanford's Core NLP Suite• ScalaNLP• MALLET

• Spark MLib• Scikit-learn• Accord Framework • Tensor Flow • Pytorch• PredectionIO• Keras• Caffe• JSAT

• Python• Java• R• C++• C• Go• JavaScript• Scala• Julia

Artificial intelligence based jobs recommendations for job

seekers, based on their competencies and other parameters.

The demo will cover the followings….

▪ Spark MLib framework

▪ Prediction IO as AI middleware platform

▪ Web application to receive recommendations from AI engine

AI Powered Recommendation Engine (Web and Mobile App)

AI Powered Recommendation Engine Demo (Cont.)

AI Powered Recommendation Engine Demo (Cont.)

Create Models Apply weights

Training Models

Apply algorithms and calculate result

What all did we cover…

How “real” is AI for Businesses?

Types of machine learning

How to establish AI strategy?

How to choose the right AI toolset?

Demonstration of AI-powered recommendation engine

Q & A

Please send in your queries at marketing@jktech.com

Thank You!