Books

Business Analytics Using R – A Practical Approach (English)
http://www.springer

ISBN: 978-1-4842-2514-1

Business Analytics Using R – A Practical Approach (Chinese)

ISBN: ‎ 978-7302489665

The InfoSec Handbook

ISBN: 978-1-4302-6382-1 (Print) 978-1-4302-6382-8

What?

Artificial Intelligence refers to a smart system that performs tasks, like the cognitive functions of human beings with a defined set of methods and learning algorithms. AI systems can be as simple as turning a traffic light ON and OFF automatically by processing traffic data or can be extremely complex as executing real-time customer interaction of a support call “conversation”.

Why?

Why AI for Business Decisions?
AI is the biggest disruptor to the industry in the next five years. This will no doubt have a significant impact on the workforce.
According to a survey by Tech Pro Research, up to 24 percent of businesses currently implement or plan on using artificial intelligence.

How?

Many professionals are becoming interested in learning analytics. But not all of them have rich statistical or mathematical backgrounds. This book is the right place for techies as well as those who are not so techie to get started with business analytics and machine learning. You’ll start with a hands-on introduction to R for beginners
Are you a Business leader who wants to make informed decisions? Do you want to strategize your business based on the data available with your organization? Would you like your business decisions to be automated? Are you interested in growing business faster than your competitors?
Artificial Intelligence (AI) and Machine Learning (ML) are thecurrent hot topics in the business community. Artificial Intelligence and Machine Learning systems are enabling organizations to make informed decisions by optimizing the processes, understanding customer behavior, maximizing customer satisfaction and thus accelerating overall top line and profitability growth.
Investment in Artificial Intelligence is predicted to become a $47 billion market (International Data Corp) by 2020. According to a recent research survey in the United States, nearly 24 percent of businesses are currently implementing or plan to implement AI solutions in their business decisions.

What?

Artificial Intelligence refers to a smart system that performs tasks, like the cognitive functions of human beings with a defined set of methods and learning algorithms. AI systems can be as simple as turning a traffic light ON and OFF automatically by processing traffic data or can be extremely complex as executing real-time customer interaction of a support call “conversation”.

Machine Learning refers to the learning algorithm of AI systems to make decisions based on past data (historical data). Some of the commonly used machine learning methods include neural network, deep learning, decision trees, k-nearest neighbors, logistic regression, cluster analysis, association rules, Hidden Markov models and natural language processing. Availability of abundance of data, lower storage and processing costs, efficient algorithms has made machine learning and AI a reality in many organizations.

Why?

Why AI for Business Decisions?
AI is the biggest disruptor to the industry in the next five years. This will no doubt have a significant impact on the workforce.According to a survey by Tech Pro Research, up to 24 percent of businesses currently implement or plan on using artificial intelligence. Leaders are in the healthcare, financial services and automotive sectors.Prior to the resurgence of AI and Machine Learning, business leaders had to rely on decisions which were inconsistent and based on incomplete data. Today, decisions are made by data-driven models and algorithms with huge samples of data available in abundance. Today’s AI Machine Learning systems provide executives with reliable, advanced and sophisticated models using big data technology for their business decisions.

How?

Many professionals are becoming interested in learning analytics. But not all of them have rich statistical or mathematical backgrounds. This book is the right place for techies as well as those who are not so techie to get started with business analytics and machine learning. You’ll start with a hands-on introduction to R for beginners. You’ll also learn about predictive modeling and big data, which forms a key part of business analytics. It offers the right mix of theory and hands-on labs. The concepts are explained using business scenarios or case studies where required. It is written by industry professionals who are currently working in the field of machine learning and analytics on real-life problems for paying customers.

Also, our expert teams cover the full spectrum of data activities, from data acquisition to building AI models and deploying them to delivering report to management team, including:

  • – Working with very large data sets using platforms such as Hadoop, Spark, No SQL databases and others
  • – Exploratory data analysis and data visualization to provide data insights into specific business question
  • – Developing and implementing Machine Learning (ML) models (predictive analytics, natural language processing)
  • – Deploying AI and ML solutions in production environment
  • – Data engineering – Data ingestion and processing for quicker access to data sources to be able to drive business outcome
  • – We specialize in developing following AI & Machine Learning solutions:
  • AI Chat-bots
  • Sentiment Analysis
  • Cyber Security and IT Infrastructure Insights
  • E-commerce and Retail
  • Human Resources
  • Finance