Artificial Intelligence – The new future…

Artificial Intelligence

One of the “most sought after” domain these days is Artificial Intelligence (AI). Artificial Intelligence (AI) capabilities for e-commerce and other Platforms today are able to leverage available information regarding similarities and dissimilarities between customers, along with the Phone. The ability to utilize the vast datasets regarding customer behavior and usage patterns acquired by e-commerce platforms, artificial intelligence – with its self-learning algorithms and intelligence, creates personalized shopping experiences for online buyers.

Here’s a snapshot of how Artificial Intelligence (AI) is slowly changing the world of business and shopping for good:

The Chatbots Revolution for both, machines and smart devices

AI is rapidly reducing manual effort in communication for the e-commerce platforms via natural language processing (NLP) and machine learning capabilities, AI’s chatbots are able to automate conversation with the buyers.

This can carry out the daily transactional conversation, which otherwise required human support staff. Furthermore, the chatbot-led conversations transpire with zero scope for human error. Chat assistants are further being used for CRM, personalizing buyer experience by addressing their queries.

This is the reason why e-commerce sites are today able to drive conversations with their users via AI. The Industry Gurus believe that e-commerce players to go big on the entire chatbots revolution. Gartner predicted that chatbots are going to replace 85 per cent of customer interactions by 2020.

Virtual Buying Assistants:

These days AI-powered virtual assistants, e-commerce sites are able to provide their shoppers with a personal fashion assistant. The technology assists shoppers through personalized recommendations, on the basis of their preferences and past usage patterns. For example, sending notifications or prompts when prices drop; the virtual assistants will let the shoppers know the instant there is a price change, this will help them to increase the footfalls on the site, leading to more successful conversions.

Analyzing Data:

Monotonous or Traditional merchandising systems no longer possess the required wherewithal to analyze large volumes of data, or read and predict consumer trends. This is where AI comes in, helping consumers with what to buy, based on their behavior patterns and preferences. The same also provides e-commerce sites with actionable insights to make their platform best suited for their buyers, and come up with the most relevant offers, campaigns, strategic messaging etc.

Making conversations and Improving Order Fulfillment:

Because of  the sheer number of mushrooming e-commerce platforms, consumers today are bombarded with a volley of messages. It not a surprise anymore, when most of the times important communication from e-commerce sites is missed by the customers.

To tackle these challenges, Companies using Artificial Intelligence exploit, Predictive Intelligence and Contextual Messaging functionalities to determine the right time to target a customer. This ensures higher conversation rates, whilst also improving brand’s engagement with its customers.

Furthermore, the noteworthy aspect of the technology is that the practice can be used to target each and every customer individually. Companies can now re-engage with every customer via strategic messaging, most opportune time, and a communication channel of their preference which makes it convenient for them.

AI potential has been utilized by e-commerce companies across the globe to minimize shopping cart abandonment, automate processes and optimize the conversion rate. E-commerce sites are increasingly adopting AI to provide a much more personal, intuitive and simplified experience to their patrons.

The future belongs to industry-level collaborations between AI and e-commerce giants, with the sole intention of putting forth the best platform for the customers.


What is changing in the realm of big data?


What is changing in the realm of big data?
Big data is changing the way people within organizations work together. It is creating a culture in which business and IT leaders must join forces to realize value from all data. Insights from big data can enable all employees to make better decisions—deepening customer engagement, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue. But escalating demand for insights requires a fundamentally new approach to architecture, tools and practices.


Teaching tomorrow’s Data Scientists

BICARD gives you the tools, techniques, and fundamental concepts needed to make an impact as a data scientist. In just 12 weeks, you’ll apply problem-solving and creative thinking to real-world data sets, gaining experience across the data science stack: data munging, exploration, modeling, validation, visualization, and communication.



Grounded in Python, our program covers the necessary tools and concepts used by data scientists in industry, including machine learning, statistical inference, and working with data at scale. As you learn more advanced techniques, you’ll use tools like SQL and NoSQL. When you graduate, you’ll have a solid grasp of machine learning, statistics, and will have built numerous data science applications.




Week 1 – Exploratory Data Analysis and Software Engineering Best Practices

Week 2 – Statistical Inference, Bayesian Methods, A/B Testing, Multi-Armed Bandit

Week 3 – Regression, Regularization, Gradient Descent

Week 4 – Supervised Machine Learning: Classification, Validation, Ensemble Methods

Week 5 – Clustering, Topic Modeling (NMF, LDA), NLP

Week 6 – Network Analysis, Matrix Factorization, and Time Series

Week 7 – Hadoop, Hive, and MapReduce

Week 8 – Data Visualization with D3.js, Data Products, and Fraud Detection Case Study

Weeks 9-10 – Capstone Projects

Week 12 – Interview Preparation



Admissions/ pre-requisite

We’ll give you a take home assignment to assess your quantitative and programming skills, then conduct two technical interviews. The first evaluates your proficiency with programming in Python while the second covers probability, statistics, experiment design, and basic modeling. We look for students who are familiar with data analysis tools and practices and a background in a quantitative disciplines like foundational statistics, probability, linear algebra, or mathematics.


Outstanding Opportunities in Embedded Systems

What is an Embedded Systems Design?

An Embedded System as the name suggests, can be thought of as software embedded in a computer hardware system. Embedded systems are part of large and much complex systems to enhance or assist a specific function of the system or it can also be an independent system.  The precise definition of an embedded system is that it is a microcontroller or microprocessor based, driven by software, real-time control system designed to carry out an explicit task. For example in latest designed cars, we have automatic transmission, anti-lock brakes, GPS navigation which are all embedded systems. Other examples include fire alarm to sense fire and then send the signal. Medical equipment, cameras, mp3 players, household appliances, airplanes, vending machines, even cellular phones and PDA all include embedded systems into them.

The three basic components of an embedded system are

  • Hardware
  • Application Software
  • Real Time Operating System (RTOS)

Required Skills


Programming Skills

  • C and C++ programming
  • Real Time Operating Systems
  • Embedded Linux system design.
  • Knowledge for Object Oriented Programming (OOP).
  • Knowledge of the Software Development Life Cycle (SDLC).
  • Knowledge of network architecture and communication protocols such as Ethernet, TCP/IP etc.

Debugging Skills

  • Understanding of assembler, compiler, linker and loader.
  • Understanding of source-level debugger, in-circuit emulators (ICE) and JTAG debuggers
  • Understanding of tools like memory testers, Execution tracers and Coverage testers.

Electronics Skills- Basic concepts of microprocessors and electronics like memory addressing, serial ports etc. must be strong

Problem Solving Skills – Real world problem solving skills are needed skills in this domain. An embedded system engineer might spend quite some time troubleshooting an issue. Problem solving skills are thus critical.


Opportunities in Embedded Systems Designing and Programming

Embedded Systems Designing is a specialized occupation. The engineers who trains in designing and developing the systems should possess strong knowledge of electronics and programming.

PG Diploma in Embedded Systems will train and skill the engineering students further to implement modern real time embedded systems. It facilitates to acquire knowledge, skill needed to conceive, design, implement and deploy dedicated embedded systems. By this course, a student gets all the technical know-how and professional attitude to progress in the domain of embedded systems.

There is huge demand for embedded systems engineer as these systems are becoming more and more useful and important in developing and enhancing various large systems. There has been exponential increase in computing power, ubiquity of connective and the merging of various technologies have led to hardware and software systems to be embedded in everyday use systems and products.

Hence engineers in this area have excellent career and growth prospects in various kinds of industries like

  • Consumer Electronics
  • Telecom,
  • Automobile
  • IT
  • Robotics
  • Manufacturing industries (medical equipment, defense etc.)
  • Aerospace and other large as well as small scale industries.

They can be, depending on their skills, knowledge, aptitude and interests –

  • Researcher (R&D engineer),
  • Embedded Systems Engineer/Developer/Programmer
  • Embedded Systems Tester
  • Support Package Developer
  • Protocol Development Engineer
  • Embedded Systems SME (Subject Matter Expert)

Thus, training in embedded systems can provide opportunities to be a part of the leading innovation and it is the tool for the future for present generation. Embedded systems is part of IoT, which is coming age revolution.

For more information visit our website


Internet of Things


The recent development in technology is leading towards making world a intelligently hyper-connected planet.

IoT – Internet of things is a system which connects objects and devices (like coffee maker, air conditioners, washing machines, cell phones, traffic lights etc.) which are of use to people in their everyday lives at home and work. It is a concept which has the ability to influence the way we live and work. IoT concept in not limited to only people and their daily activities but also applies to different component of machines & industry. IoT not only connects objects to the Internet but also enables devices to intelligently identify and communicate with other devices, objects and even people. This will create a new system of information-sharing among people, facilitated by our devices. It will create a network of People-People, People-Things and Things-Things.

Usage of internet as well its availability is increasing and its connectivity cost is decreasing day by day. More and more devices are created with Wi-Fi and sensors and its penetration among the people is huge. Fast growth of smartphones and internet access has also lead to the concept of IoT.

According to an analyst firm, today there are 14 billion object and devices are connected to the internet and by 2020 these number of devices could be anywhere from 20 billion to 100 million.

Internet of Things is the combination of both hardware and software technologies. The hardware consists of the connected devices and the networks that link them, such as 4G, Wi-Fi and Bluetooth. Software components include data storage platforms and analytics programmes that give information to its users. When these hardware and software components are combined to provide services, real value is created for businesses, consumers and governments.



Source: – Internet_of_Things.pdf

Characteristics of IoT

CONNECTS – It connects the physical world around itself one thing to other.

COMPUTES – It processes every input it is fed and then communicates to other related devices.

COMMUNICATES – After processing, it communicated with other devices connected and each device has unique identity.

Example – There are digital signs with embedded sensors on the highway. These sensors detect black ice on the highway at certain location and send automatic messages to incoming vehicles to slow down. This prevents accidents, cuts emergency service costs and decreases overall traffic congestion.

Various other applications of IoT whether it’s in transportation, energy, health, or the military, industries are already benefiting from IoT.

Smart home – It is the highest Internet of Things application. There are lot of companies active in smart home in comparison to other applications of IoT. Various multinational corporations like Philips, Haier, or Belkin have pitched in this area.

Smart city- it includes traffic management, waste management, water distribution, urban security and environmental monitoring. IoT solutions solves many issues faced by the city related to traffic, noise, pollution, security etc. and makes city a better and safer place

And many other like Wearables, Smart grid, Connected car, Connected health, Smart retail, Smart farming and so on.

Implementing IoT-enabled systems will allow businesses and organizations to maximize existing investments, secured transmission, analyze data, and provide near-real time decision support which will change how business is done.

Bicard is a leading Institute in Pune, India which provides training in various cutting edge technologies and makes people Industry-Ready!

For more information visit our website:

BICARD at Shivaji Nagar, Pune

Office No.68-71, 4th Floor,’C’ Block, Shrinath Plaza, Dnyaneshwar Paduka Chowk

FC Road, Pune 411 005, Maharashtra, India

Phone: +91- 20-65002700, +91-20-65007300

Mobile Number: +91 7276606655

What is Hadoop?


What is Hadoop?

It is a word which is used very often nowadays in the IT as well as some other industry sectors. It is often used in connection with Big Data. But very few know how it is related to Big Data.

Big data is the voluminous heterogeneous data in terabytes and Hadoop is a framework (not a single technology or a product) to process efficiently Big Data. Hadoop is a part of an Ecosystem to handle big data which comprises of various other supporting technologies and products.

Hadoop is an Apache open source framework written in java which has the potential to manage thousands of terabytes of data. It has quickly developed as basis for big data processing tasks like statistical analytics, business planning and processing huge volumes of data from sensors including IoT sensors. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage.

Hadoop Architecture



The main four modules of Hadoop Framework

  • Hadoop Distributed File System (HDFS) – A distributed file system which is capable of storing data across thousands of servers and provides access to application data.
  • Hadoop Yet Another Resource Negotiator (YARN) – A framework for resource management and schedule jobs across the clusters holding data.
  • Hadoop Map Reduce- It is a parallel processing system which is YARN based and maps the data and reduces to a result.
  • Hadoop Common- They are the Java libraries and utilities supporting other modules.

The other softwares which are part of the Hadoop Ecosystem

  • Apache Flume– It is meant for Data Movement. It streams logs into Hadoop. It is a reliable & distributed service to efficiently collect, aggregate and move large amounts of streaming data into HDFS
  • Apache Hive-It is a Data Warehouse Infrastructure on top of Hadoop for providing summaries, query and analysis. It allows SQL programmer to SQL type of statements in HQL
  • Apache Pig-It is a high level platform for creating program on Hadoop to analyze large data sets.
  • Apache Hbase– It is an open source, non-relational, column oriented database management system which runs on top of HDFS. It is written in Java and modeled after Google’s Big Table.
  • Apache Spark-It is a powerful open source which uses its standalone cluster mode and can run not only on Hadoop Yarn but also on Apache Mesos and Cloud.
  • Apache Zookeeper, Apache Oozie, Apache Sqoop, Cloudera Impala and few others.

Advantages of Hadoop

  • It is scalable
  • Cost-effective
  • Flexible
  • Fast
  • Hadoop framework allows the user to quickly write and test distributed systems and utilizes the underlying parallelism of the CPU cores.
  • Hadoop does not rely on hardware to provide fault-tolerance and high availability (FTHA), rather Hadoop library itself has been designed to detect and handle failures at the application layer.



Understanding Business Intelligence

Business Intelligence is the broad set of tools, applications and techniques that provide organizations the visibility into complete business operations. It gathers data from internal as well as external sources, performs the analysis by running queries and then present the reports, spread sheets, visualisations, dashboards for the for the decision makers as well as functional people.

The main purpose of the business intelligence is to provide support for the Data-Driven Business Decision Making. It is also referred to as Decision Support Systems (DSS). It includes technologies and applications like Data Warehouses, Executing Information Systems and Online Analytical Processing (OLAP).

Bringing together all the data from the heterogeneous sources and integrating and creating a Data Warehouse it is called Data-warehousing. It is the core of an organization’s business intelligence system and is facilitated by the ETL tools.

The functions of data Warehousing tools and utilities are

  • Data Extraction
  • Data Cleaning
  • Data Transformation
  • Data Refreshing

Data visualization is presenting or reporting the information in a visually appealing method which helps understand the necessary details from the data in a better, faster and absorbing way. It involves selecting the most relevant and most appropriate infographics/chart/graph/reporting style for the management and executive dashboards keeping in mind the nature of the data, report to be made and the audience. More the dashboards are appealing and communicative, better the information sharing.

Business Intelligence is an approach which is similar to a rear-view. It answers the questions like

  • What Happened?
  • When did it happen?
  • Who made it happen?
  • How and When did it happen?

Based on these questions, the organisation work to derive answers and further do the analytical study part.

Benefits of Business Intelligence:

  • Management Processes are enhanced.
  • Business operations processes are also enhanced.
  • Planning, controlling, measuring and/or applying changes that results in increased revenues and reduced costs.
  • Intelligent prediction of future.
  • It empowers the organization with
    • Quick and efficient process requests
    • Quick response to any change in organization
    • Efficient Information sharing
    • Improvise reporting system
    • Delivery of relevant information to both local and remote personnel

Data Warehousing and BI is one of the very important modules in the entire course of Data Science. There is lot of demand for the people in this field as the amount of data has been increased hugely. More and more Big Data technologies are being adopted by the various companies and hence knowledge of BI tools and concept of data warehousing are imperative to work with Big Data.

Bicard offers in-depth Data warehousing and BI course for the experienced professionals as well as fresh graduates. It is Also an integral part of 6 months PG Diploma programme in Big Data Analytics & Machine Learning.


Get the Golden opportunities by getting trained in IoT

IoT can be defined as interplay for software, telecom and electronic hardware industry and promises to offer tremendous opportunities for many industries – Ministry of Electronics and Information Technology

What is IoT?

It is ground-breaking recent technology and has the potential to drastically change and improve our personal lives, our work place and our industry and manufacturing setups. It will change in terms of capabilities and efficiency.  It means that any physical devices which are embedded with electronic softwares, sensors, actuators and network connectivity will be interconnected with each other. In short, it is the inter networking of the smart devices. For examples, smart homes, smart cities and smart management. Smart home for example is complete controlled automation of all the domestic devices like lightning, A/Cs, Heaters, Ventilators, Washers, Dryers, Microwaves, Coffeemakers and Refrigerators etc. with the help of Wi-Fi for remote control.

Is IoT going to revolutionize the society?

Yes definitely. For e.g. on a cold winter evening, you can set your house temperature at normal while returning back from the office. There are number of day to day activities, which we not able to do remotely can be automatically set and done. Similarly it can be done for the workplaces and manufacturing units.

How will IoT improve the competence?

When this level of remote automation is brought into system, it definitely leads to highly level of efficiency, better processes and better life.

How will IoT help common man?

Advantages of IoT application can be for individuals, businesses and including government. The domains are

Healthcare- All the patients’ record can be easily available across hospitals and that will make diagnosis and treatment faster when there is easy access of patient’s history.

Security- Facial recognition, bio metric fingerprints and detecting crimes by remote sensors, the perpetrators are detected and arrested early. In addition, highly volatile areas can be continuously monitored remotely and necessary action can be taken promptly. This kind of system setup reduces dangers, saves time and money.

Domestic-On domestic front, locks can be accessed with smartphones as the key; one can easily lock and unlock doors remotely.

Tracking everyday item consumption in the home can also be done easily and accordingly the order is placed as soon the stock levels go down. In this regard households’ consumption patterns can be known and accordingly with the use of analytics product companies can target their consumers for their advertising and marketing, which will facilitate highly concentrated marketing.

It is expected that by 2020, there will be 50 billion smart devices interconnected to each other. Hence it has started creating huge opportunity in IT as well as other industry sectors to get ready for the change.

More and more companies are going forward to develop IoT technologies and along with it many start-ups will be venturing into Iot area as there are huge bright developments excepted in this domain. Hence lot of job opportunities will be developed in the field of IoT.

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