The Role of Emerging Technology in Digital Transformation

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Introduction

Emerging technologies such as artificial intelligence, machine learning, IoT, quantum computing, and blockchain have been ratified as the indisputable tools that will transform and revolutionize companies in the next decade.

Regardless of their size, sector or geographic area in which they operate, companies and their managers are currently in a critical period of technological disruption that requires anticipating trends, investing in innovation and having the courage to explore new technological horizons.

The latest organizations are embracing emerging technologies and addressing issues related to ethics and digital security. Something especially surprising if you take into account the conviction and firm commitment that new technologies are acquiring is that 49% of Spanish entrepreneurs affirm that digital transformation is an absolute priority. Almost 100% ensure that they have ongoing plans in this consider.

New Age Robotics: RPA Plan, Process and Purpose

ROBOTIC PROCESS AUTOMATION: WHAT IS IT AND WHAT BENEFITS DOES IT PROVIDE?

  • The future dictates a hybrid combination between robotic automation and human capital.
  • Robotic process automation is the fundamental pillar of Digital transformation and business culture.

What is RPA?

Robotic process automation allows anyone to configure software or a “robot” to simulate and develop the actions of a “human” who interacts with digital systems to execute different business process systems designed to perform specific tasks, usually repetitive and regulated, eliminating the employee from that task.

How does it stand unique and advance?

  1. Reduction of operating costs and risks
  2. Flexibility and simplicity
  3. More accurate analysis and metrics
  4. Higher productivity
  5. Release monotonous tasks
  6. Greater employee engagement
  7. Invariability of quality
  8. Scalable system

BIG DATA: A mammoth which is smarter on Data

Big Data technologies solve processing problems differently, applying techniques such as MapReduce, which can divide the processing of a set of data and distribute it in a cluster of machines.

Why is Big Data sharp and wise on Data?

Big Data technology, combined with the cloud service platforms, makes it possible to adapt the cluster size in real-time.

 It is based on specific processing needs, which allows increasing the cluster size to absorb high data peaks at particular times and reducing it when the processing needs decrease. This allows optimizing the costs of using these technologies, making them accessible to any corporation.

Some wider perspectives of Big Data Applications in crisp words follows below:

    Predictive Analytics

    Knowledge discovery and search

    In-Memory Data Factory

    Distributed File Stores

    Data Virtualization

    Data integration & Preparation

    Data Quality Assurance

 Artificial Intelligence

Artificial intelligence and robotics are two closely linked technologies that already complement each other to perform tasks. Among the main ones is the automation of jobs in assembly, packaging lines, hospitals, health stations, or industries such as the automobile.

At this point, the evolution of Cobots or collaborative robots has very much importance. These are small robotic arms that replace traditional industrial robots. Their main advantage is that they can share workspace and co-work with humans and take up less space and are safer. Besides, they can be moved more quickly.

Some wider perspectives of the Application of Artificial Intelligence includes:

  • Predictive marketing
  • Biometrics
  • Augmented reality
  • Word processing
  • Virtual Agents
  • Industrial Internet of Things

Mean Stack

The most widely used programming language in the world is trending since 1991.

Java was born from the need to have a programming language independent of a specific platform, which could be used to create embedded software in various electronic devices.

MEAN: Java Interoperability is now the boss of full-stack.

The emerging full-stack JavaScript solution can help accelerate development in agile, reliable, maintainable web applications.

MEAN is the combination of MongoDB, Express, AngularJS, and Node.js technology stack.

MEAN is collectively a free, quick, and organized set of Javascript technologies that can develop fast and robust dynamic websites and rapid –prototypes of web-based applications.

Pragmatic Python

  • Why the need for Python?

Python is the most popular programming language that allows you to work in different computing fields with an extensive catalog of specialized libraries designed for it

  • What is Python?

Python is a Pragmatic open source programming solution to many overheads in conventional development.

It comes with significant advantages as follows.

  • Multi-paradigm: It supports imperative programming, object-oriented, and functional programming.
  • Interpreted: The code is not compiled into machine language.
  • Cross-platform: A Python interpreter can be found for the leading operating systems.
  • Dynamically typed: That is, the same variable can take values ​​of different types.

Python and New age Technologies

Tensorflow, a python library for fast computing, is nowadays used in building neural networks for the Internet of things (IoT) in a new age.

Python language is clear, elegant, and straightforward. Hence it stands out in web development, scripting, big data, and machine learning.

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  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site
  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site
  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site

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