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How Google Is Fighting Floods in India with AI

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How Google Is Fighting Floods in India with AI

Of late, the search engine giant, Google made a slew of announcements tailor-made for India focusing on new-age technologies, including Artificial Intelligence and Machine Learning. They are to improve response time to natural disasters, such as flood along with address healthcare challenges.

At their recently conducted annual flagship conference Google For India 2018, the search engine giant also revealed the company is eager to use crisis response and SOS alerts to predict natural disasters. Speaking to the context, Rajan Anandan, VP, India and SEA Sales and Operations at Google stated that technology does come to rescue during extraordinary conditions.

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He further added, “India has gone online to rally behind the victims of the Kerala and Karnataka floods. Our Crisis Response team turned on SOS alerts on Google Search in English and Malayalam, and activated Person Finder to help people search for family and friends. Locations of flood relief resources like shelters are being shared on Google Maps. Outside of the tech support, Google.org and Googlers are contributing over $1 million to support relief and recovery efforts. And others are also donating towards the Kerala flood relief on Tez.”

Floods are ravaging; especially in countries India, Bangladesh and China. It’s for them that Google considered it’s high time to devise something to prevent disasters happening in these countries. Thus, the team started seeking ways to implement AI for flood prediction. The recent Kerala flood was an eye-opener. Hundreds have lost their lives and thousands are still living in makeshift relief camps. The numbers say more than 7.8 lakh people are said to be living in these camps across Kerala.

To offer help, Goggle has initiated a steady stream of measures to assist the state. It has activated SOS alerts on Google search, which hooked all the response numbers and emergency resources in languages, English and Malayalam.

Talking about the technology launch, Google Technical Project Manager (TensorFlow) Anitha Vijayakumar was found saying, “We have been doing AI research to forecast and reduce the impact of floods… Floods are the most common disaster on the planet, and with adequate warning, we can greatly reduce the impact of floods. The current modelling systems are only physics-based, and the data is not detailed enough, while Google is using a system that combines physics modelling plus AI learning, and combines that with elevation and satellite map data.”

In addition, “We also activated Person Finder in English and Malayalam, to help people search and track family and friends – on last count, there were 22,000 records in person finder. We also extended this information on Google Maps to aid the rescue efforts,” said Rajan Anandan, Vice President of Google (South East Asia and India).

He further added that Google Tez’s (the notable payment) donation drive has so far raised USD 1.1 million towards Kerala Chief Minister Relief Fund. Also, Googlers and Google.org has donated USD 1 Million for recovery schemes and relief measures.

Now, that you are reading this blog, it means you are interested in the broad scopes of artificial intelligence and power it brings with it. Get enroll in Big Data Hadoop training in Gurgaon; DexLab Analytics offer state of the art Big Data Hadoop certification courses that’ll take you a step closer to fulfilling your dreams.

 

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Cryptojacking: How Businesses Can Protect Systems from This Latest Cyber Threat

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Cryptojacking: How Businesses Can Protect Systems from This Latest Cyber Threat

The rising threat of cyber attacks and the sophistication of these crimes have created a frightening security situation all over the world. The cases of data and privacy breach are increasing every day. Both private and public sector are at risk and understandably the average internet user is very paranoid. Cybercriminals keep innovating new ways to take advantage of security vulnerabilities present in systems.

Cryptojacking is one such cyber threat that has targeted countless unsuspected users all around the world. Particularly in India, cryptojacking has become a pressing problem. According to a recent study by Quick Heal Technologies, from January to May 2018, nearly 3 million cryptojacking cases have been reported.

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What is Cryptojacking?

Cryptojacking is a method of hacking into systems and illegally using them to mine cryptocurrency. Malicious scripts are loaded into machines without the knowledge of owners. The group or individual that loads the malicious program reaps the rewards of cryptomining activities, while the owner of the machine isn’t provided any kind of compensation.

There are two types of processes used to carry out cryptojacking attacks:

In the first process, a cryptomining code is installed in the compromised system by means of an infected file.

In the second method, a website or online ad is infected with a JavaScript-based cryptomining script. When users click on this link, the scrip auto-executes itself.

Why is Cryptojacking So Challenging for Businesses?

The malicious script transmits processing power from the compromised machine to the unauthorized cryptocurrency mining. This affects the computer in the following ways:

  • Slows down the system
  • Causes the machine to lag
  • Some applications become completely inaccessible
  • Resource-intensive operations related to cryptomining damage the hardware of an infected system and at times even cause it to crash repeatedly.

Cryptojacking is a serious business hazard. These disruptions result in downtime and IT tickets, which basically cost the business a lot of money. Global businesses lose billions of dollars due to IT downtime. Infected systems consume huge amounts of electricity and hence the operational costs increase significantly. Bottom line, cryptojacking eats away business revenues, which if taken precautions may be avoided.

How to Protect from Cryptojacking Attacks?

The modern cyber-attack landscape evolves every minute. In the face of such dynamism, it is absolutely essential to adopt a multi-layered approach for preserving IT security. The need of the hour is to invest in advanced security solutions. These solutions must include the following features:

Endpoint Security: In order to protect endpoints from cryptojacking a robust Endpoint Security solution with cutting-edge features like behavior based detection and antivirus is necessary.

Web Filtering: Web Filtering includes a set of tools that can be customized to safeguard your business network from suspicious websites. Distrustful websites are blocked and users are prevented from accessing them.

Network Monitoring: This is a tool that is able to detect huge surges in processor activity, which is a well-known symptom of a cryptojacked device. It helps network administrators keep a close eye on data anomalies.

Mobile Device Management (MDM): Business users depend on mobile phones for conveniently carrying out activities. Hence, deploying a robust MDM solution is important for preventing this type of hijacking.

Apart from these, businesses must ensure basic security hygiene, such as installing a web security solution for the safety of visitors on their website and also carry out patching of latest security updates. For example, SecBI has developed an artificial intelligence solution that analyzes network data and identifies cryptojacking threats.

For more blogs on the latest technical innovations, follow the premier big data Hadoop training institute– DexLab Analytics. Do take a look at the course details for big data Hadoop certification in Delhi.

 

Reference: cio.economictimes.indiatimes.com/tech-talk/how-businesses-can-secure-their-systems-from-cryptojacking/3175

 

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How Big Data Analytics Power Profits for the Hospitality Industry

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How Big Data Analytics Power Profits for the Hospitality Industry

The hospitality industry is highly dependent on customer satisfaction. And the analysis of big data can help this industry predict customer behavior by understanding their needs and expectations. This in turn enables the hotels and restaurants to provide personalized customer service and retain loyal customers.

Hospitality service provider Airbnb is making the most of the new ‘’mobile first’’ approach where responsive designs are created for the smallest screens. This mode allows customers to engage in Airbnb business through phones. Although big data and its analysis is a large part of the success for this industry, many companies are yet to fully understand the gains associated with big data.

Here are some ways how big data enables the hospitality industry to drive profits:

Take better control of business:

Effectively analyzing big data drastically changes how the business runs. The hotel industry is a data rich sector with massive volumes of web, audio and video content. However, many hotels don’t use their data to its full potential. For instance, hoteliers collect loyalty information but few exploit the data for making business decisions. Through analytical data exploitation, hotels can deepen their understanding of the behavior, needs and expectations of guests and develop better loyalty programs.

Customer segmentation and Targeting:

Hotels must use customer data to provide better customer service as that is essential for ensuring that customers return to avail their services again. Analyzing this data is crucial to segment customers based on booking and travel trends, preferences, chance of responding to promotions, etc. Targeting clients with wrong offers can hinder business growth. Data analysis allows them to retain their best repeat clients by good incentives and promotions. It also allows them to build separate deals for customers who don’t visit them often with the hopes of converting them to loyal customers.

Set best prices for rooms:

Big data analytics is very important for setting competitive hotel prices so that it attracts more guests. Apart from setting the best price for rooms, hospitality-driven businesses can optimize the budget for utilities through analysis of weather data and energy rates.

On-time delivery:

As big data tools become more and more advanced, it shall enable better collection of data from traffic, temperature, weather, route and other sources. This will improve food delivery by providing better estimates of time taken to deliver. Moreover, it shall help restaurants understand how all the aforementioned sources affect the quality of food. Thus, it helps to plan the transportation beforehand and optimizes the utilization of resources.

Menu enhancement:

Using the customer data on food preferences, restaurants can build a customer profile that contains their favorite food and drinks. From the data gathered through feedback forms and online surveys, they can identify the most popular items in their menu and determine whether their menu needs to be improvised or completely reengineered.

Hence, new sources of data and emerging technologies like IoT (Internet of Things) and AI (Artificial Intelligence) enable the hospitality industry to understand the current trends in the market and boost the overall profit of the enterprise.

Companies who are embracing the power of big data are reaping huge profits, and students who are enrolling for big data Hadoop courses are earning big bucks! So, unlock your career with a big data Hadoop certification in Gurgaon. And follow DexLab Analytics for the latest big data related blogs and information.

References:

www.smartdatacollective.com/hospitality-industry-emergence-big-data

www.hiddenbrains.com/blog/big-data-analytics-driving-restaurant-industry-towards-profitable-growth.html

insidebigdata.com/2018/08/03/three-industries-profiting-big-data

 

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Tapping Into Big Data for Better Talent Acquisition

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Tapping Into Big Data for Better Talent Acquisition

There are many variables that need to be considered while making hiring decisions. Most importantly, there’s need to fill skill gap. Other factors are candidate behavior and financial aspects of hiring, like cost for training new employees. Big data and analytics help form valuable insights into the job market. Consider the example of IBM acquiring the services of consulting firm Kenexa. It was used to access data of 40 million workers in order to find the personality trait most suitable for a sales job. All kinds of information starting from the workers’ job applications to managerial level was analyzed and it was determined that ’persistence’ is the most valued trait.

Here are some important ways big data helps firms attract promising candidates:

Automate HR Affairs

Talent Acquisition encompasses a wide variety of tasks and when HR teams work in tandem with AI then many day-to-day tasks gets simplified. It helps with tasks like filtering and tracking application status of candidates, getting new hires onboard and making future decisions about employees by analyzing data of previous employees. Data enabled systems saves a lot of time and makes tedious tasks much easier.

Predictive Analytics for Better Hiring Decisions

Hiring professionals need 360 degree information about a particular situation in order to make the best decision possible. They need to analyze everything starting from the human capital requirement in the organization to the economics. Big data enables them to form a clear idea about the skill gaps in the company’s workforce, analyze current trends in the market, follow the financial KPI’s and demographic traits associated with hiring, set the hiring quota and identify the skills and talents to look for in new hires.

Discard ‘’Eleventh Hour’’ Hiring Method

The urgency to fill skill gaps often pressurizes HR professionals to make quick hires, which can be impulsive and not the best. With the help of predictive analytics, these last minute situations can be completely avoided. It allows HR teams to form long-term hiring strategies that align with company goals and also enables them to make timely hires. Using the power of big data, you can be aware of the future needs of your company and job market trends. Hence, it helps eliminate panic situations where you make a hire only to realize later that he/she doesn’t fit the bill.

Social Media for Insights

Big data helps firms attract the right candidates that fit a role. The hard data available on the social media platforms of promising candidates and their search behavior online give organizations crucial information that help them make right decisions. Talent Bin is one of the many employment websites that use information from social media to form insights.

Targeted Job Ads

With the help of analytics, companies can create target groups and rope them in by showing relevant ads. For example, if there’s a financial service provider who enjoys a large talent network interested in marketing on LinkedIn, then they can take this opportunity to post marketing-specific job advertisements. Many potential candidates might find these posts engaging and the company will find the right fit for the job.

Wrapping up, we can say that big data has opened up fresh avenues to make better hires. The influence of big data in every aspect of the modern corporate sector is truly astounding. The smartest candidates are enrolling for big data courses to build skills that sell the most in today’s world of work. For expert-guided big data Hadoop training in Gurgaon, visit DexLab Analytics.

 

Reference: insidebigdata.com/2018/07/20/big-data-talent-acquisition-effective-synergy-make-better-hires

 

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#JobTrends: Open Data Analytics Jobs in India Is Set To Double in 2018

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#JobTrends: Open Data Analytics Jobs in India Is Set To Double in 2018

Prediction says – the demand for AI and Big Data Analytics jobs is expected to hit 5.11 lakh, but professionals possessing the desired skills will number only 3.7 lakh by the end of 2018 – according to the National Association of Software and Services Companies (Nasscom). 

Further, the demand is expected to spike up to 7.86 lakh by the end of 2021.

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No wonder, the Indian IT industry is exploding with lucrative opportunities – 2018 began witnessing a steep rise in demand for skilled consultants specialized in the quarters of emerging technologies, like machine learning and artificial intelligence as well as big data and analytics. And, with a steady focus on Digital India, the IT recruitment industry is on its wheels to add 50% more workforce, resulting in another 1.80 to 2.0 lakh job creation by the end of this year.

Artificial Intelligence alone has the ability to generate 2.3 million jobs globally by 2020, says Alka Dhingra, GM, IT Staffing, TeamLease Services, a leading recruitment company. 

Revival of Indian IT sector

Since the technology is taking charge and rapidly transforming the every facet of business, the World Economic Forum has predicted a net loss of 5 million jobs in a couple of years. However, this leaves little room for worry, because job seekers and skilled professionals possessing the desired skills will be in a comfortable position to capitalize this trend and strive for better.

In this context, “Priority focus for us would be re-skilling the workforce in AI and big data,” says Debjani Ghosh, President, Nasscom, further adding, “Of the 4 million jobs in the industry, the nature of 60-65% is likely to change over the next five years.”

Quite interestingly, 1 out of 5 companies are found using AI to boost decision-making capacity. It help companies provide curated customized solutions and instructions to techies in real-time. Back in the day, traditional text analytics platforms were extremely complex; a handful number of companies were lucky enough to successfully analyze text data. But now, with Deep learning in AI, analysis of structured and unstructured text data has become a piece of cake – as a result of which, “We expect a 60 per cent increase in demand for AI and machine learning specialists in 2018,” shares BN Thammaiah, Managing Director, Kelly Services India.

Just like their job responsibility, the pay package of an AI professional breathes of adequacy – a techie with 2-4 years of experience earns 15-20 lakh INR annually, whereas 4-8 years of experience leads to 20-50 lakh INR annually.  

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New Streams to Consider

Retail, healthcare, telecom and manufacturing – these sectors are going to first witness the big data impact, followed by automobiles and FinTech. The next 5 years is going to be pivotal. Companies would be struggling hard to find and appoint AI engineers, especially for positions relating BI and Cloud for industrial automation. BlockChain is another new-age digital discipline that has started shifting focus and drawing attention across the e-com industry. It is found penetrating the sector, and for good reasons.

Now, if you are a data-enthusiast and seeking ways to reap benefits out of such a magnanimous tech-revolution? We got your back. DexLab Analytics offers state of the art Big Data training in Gurgaon at the best prices. Learn more.

 

The blog has been sourced from —

www.thehindu.com/business/Industry/ai-big-data-will-require-51-lakh-people-in-2018/article24534536.ece?utm_campaign=socialflow

www.thehindubusinessline.com/info-tech/big-data-machine-learning-ai-to-shape-job-market-in-2018/article10006991.ece

 

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Big Data Analytics: 10 Data-Slurping Things Everyone Should Know

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Big Data Analytics: 10 Data-Slurping Things Everyone Should Know

Big Data is no more a fleeting obsession. With numbers. It’s the beginning of a cognitive revolution that’s touching every facet of life and business on this planet.

Thanks to technological advancement, we’re churning more data than ever before. In fact, a lot more. And for good reason.

Every second we create new data – Don’t believe me?

Here are 10 mindboggling stats about big data – how it’s created, ways it’s being used and how much of it is still out there waiting to AMAZEEE us!!!

In short, this convinces us why we can’t afford to ignore big data and analytics:

Data volumes are exploding – the way it’s growing, by the end of 2020, it would generate 1.7 megabytes of new data every second for every human being living on this planet.

In a couple of years, our aggregated digital reservoir of data will expand from 4.4 zettabytes to approximately 44 zettabytes, or 44 trillion gigabytes.

Facebook users view 2.77 million videos and send 31.25 million messages, on an average every minute.

Whaaaat??!!!

Too much to process??

Wait, till you hear this!

Every minute up to 300 hours of video are being uploaded on YouTube, alone.

 Yes, while you are reading this blog, loads of users are already uploading chunks of content online.

For that reason or other, within the next 5 years, there will be more than 50 billion smart connected devices in the world, all powered by cutting edge data analysis technology.

Be ready to collect, analyze and share data without batting eyelids.

By 2020, one third of total data will roll over to the cloud (a concentrated network of servers all connected through the Internet)

Distributed Computing is the future. Google uses it involving 1000 computers to solve a single search query within 0.2 seconds. Woah!!!

Hadoop market is expected to grow at a compound annual growth rate 58% beating $1 billion mark by 2020.

The White House is heard to have invested more than $200 million in big data projects.

Now, the most spectacular fact is that less than 0.5% of all data is analyzed and used till now… So, just imagine the potential it withholds!!

In the next five years, big data is going to touch the moon, and what about you?! Don’t you feel like joining the data-inspired bandwagon?

Go, grab a quick Big Data Hadoop training in Gurgaon — and fill in oodles of knowledge, skill and expertise for improving your career graph and business performance. For more information on big data hadoop certification, drop by our expert website of DexLab Analytics.

The blog has been sourced from —

https://www.forbes.com/sites/bernardmarr/2015/09/30/big-data-20-mind-boggling-facts-everyone-must-read/#6a5cef7817b1

https://www.datasciencecentral.com/profiles/blogs/15-astonishing-tweetable-facts-about-analytics

 

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6 Mind-Blowing Facts on Big Data Everyone Must Know

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6 Mind-Blowing Facts on Big Data Everyone Must Know


The hot topic in today’s business world is Big Data. The ability to access and analyze the massive amount of data generated every second is crucial for the growth of a business. In this blog, we highlight the rapid growth in data and its significance in business decisions through some incredible statistics.

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  1. The amount of information man created from the dawn of civilization until 2003 is currently created every two days!

    And the instant messages, tweets and pictures you exchange every second contributes to this data. Ex CEO of Google, Eric Schmidt wonders if the world is ready for the big data-driven technological revolution that is imminent.

  1. 5 quintillion bytes of data are generated by internet users on a daily basis.

    If the data generated in a day was burned onto DVDs, the number would be so massive that it could be piled on top of each other to reach the moon twice!

  1. Out of all the data we create, only about 0.5% is analyzed and put to use.

There’s a huge amount of data that remains untapped. For all the Silicon Valley big shots, like Google, LinkedIn and Facebook, the aim is to link big data with personal data and create products that are highly personalized.

  1. 40,000 search queries are processed by Google every second and these add up to 3.5 billion searches each day and 1.2 trillion searches every year globally.

Google was founded in 1998 and back then it was catering to only ten thousand search queries every day. However, you shall be astonished after knowing that since 2006 more than ten thousand search queries have been performed through Google per second!

  1. Big data has the potential to create 6 million jobs in the U.S.

    LinkedIn’s head of data recruiting, Sherry Shah, described the big data job market as being ‘’very hot right now’’.

  1. A 10% increase in the data accessibility for Fortune 1000 companies is likely to increase their income by $65 million!

    And this is exactly why companies care so much about big data.

The job market for big data and analytics looks promising. Especially if you are fresher skilled in big data Hadoop then there’s a lot of scope for you. Compared to the current demand for professionals with Hadoop training, the number of available candidates is low. So, what are you waiting for? Enroll for Hadoop training in Gurgaon and grab amazing discounts on big data certifications.

 

This article has been sourced from:

ediscovery.co/ediscoverydaily/electronic-discovery/date-fun-facts-big-data-ediscovery-trends

 

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How Can Big Data Tools Complement a Data Warehouse?

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How Can Big Data Tools Complement a Data Warehouse?

Every person believes that he/she is above average. Businesses feel the same way about their best asset— data. They want to believe that their big data is above average and perfect for implementing advanced big data tools. But, that’s not the case always.

Do you really need big data tools?

In the data world, big data tools like Hadoop Spark and NoSQL are like freight trains delivering goods. Freight trains are powerful, but they’ve limited routes and a slow start. They are great for delivering goods in bulk regularly. However, if you need a swift delivery, freight train might not be the best choice.

So firs of all, it is important to understand if there’s a big data scenario in your business or not.

A 100 times increase in data velocity, volume or variety indicates that you have a big data situation at hand. For example, if data velocity increases to hundreds of thousands of transactions per hour from thousands of transactions, or if the data sources shoot up from dozens to hundreds, you can safely conclude that your business is dealing with big data.

In such scenarios, you are likely to get frustrated with traditional SQL tools. A complete revamp or moderate tuning of existing big data tools is needed to effectively handle such massive data sets.

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What tools to use?

The tool to be used depends on the task at hand. For main business outcomes like sales, payments, etc., traditional reporting tools employed within the data warehouse architecture are suitable. For secondary business outcomes like following the customer journey in detail, tracking browsing history and monitoring device activity, big data tools within data warehouse are necessary. In a data warehouse these events are aggregated into models that show the summarized business processes.

Incorporating Big Data Tools in Data Warehouse

Consider an alarm company with sensors that are connected though the internet across an entire country. Storing the response of individual sensors in a SQL data warehouse would incur huge expenses, but no value. An alternative storage solution is retaining this information in data lake environments that are cheaper and later aggregating them in a data warehouse. For example, the company could define sensor events that constitute a person locking up a house. A fact table recording departures and arrivals could be stoked up in a data warehouse as an aggregate event.

There are many other use cases. Some are given below:

Sum up and filter IoT data:  A leading bed manufacturing company uses biometric sensors in their range of luxury mattresses. Apache Hadoop could be used to store individual sensor readings and Apache Spark can be employed to amass and filter signals. The aggregated data in data warehouses can be used to create time-trended reports once the boundary metrics are surpassed.

Merge real-time data with past data: Financial institutes need live access to market data. However, they also need to store that data and use it for identifying historical trends in future. Merging these two types of data with tools like Apache Kafka or Amazon Kinesis is important because, with these tools the data can be directly streamed to visualization tools and there’s hardly any delay.

The ultimate goal is to form a balance between the two sides of the data pipeline. While it is important to collect as much raw data about customers as possible, it is equally important to use the right tool for the right job.

To read more blogs on the latest developments in the field of big data, follow DexLab Analytics. We are a premier Hadoop training institute in Gurgaon. To aid your big data dreams, we have started a new admission drive #BigDataIngestion where we offer flat 10% discount to all students interested in our big data Hadoop courses. Enroll now!

 

Reference: https://tdwi.org/articles/2018/07/20/arch-all-5-use-cases-integrating-big-data-tools-with-data-warehouse.aspx

 

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The Future of Humanity Lies in Big Data

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The Future of Humanity Lies in Big Data

The World Economic Forum Annual Meeting 2018 was held in Davos, Switzerland. Here politicians, decision-makers from the world’s largest companies, and thought leaders come together to discuss about pressing global challenges. In this important platform, the opening words of historian, professors and famous author Yuval Harari were these— ‘’ we are probably the last generations of Homo sapiens.’’

He went on to explain that the new entities that humans will eventually evolve into will differ a lot more from the modern man than we did from our predecessors, the Neanderthals. However, the new species won’t be products of natural evolution of human genes, rather the result of humans engineering bodies and brains.

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Harari said that in future, the power will lie in the hands of those who control data. Data is the most important asset in the world and has redefined the prerequisites of power and dominance. Earlier, the ownership of land and subsequently machinery separated humans into aristocrats and commoners, capitalists and workers. However, in the modern age data is the determining asset. This is reflected in the biggest companies of the world. Out of ten of the leading companies in the world, six are tech firms that deal with enormous amounts of data, namely Apple, Microsoft, Amazon, Alphabet, Tencent and Facebook. The fact that these companies are only around two decades old suggests the role big data played in their growth.

Technology has advanced to the extent that data can be used to hack not just computers but also human beings. It takes only two things- data and computing power. Computing power is advancing with enormous speed. Today, the processing powers of mobile phones we use are greater than the best computers from a few decades ago. At the same time, digital information is ever increasing. Humans generate an average of 2.5 million terabytes of data in a day!

The data humans generate is mostly in unstructured form, especially the data that comes from online surveys and social media platforms. However, if analyzed, this data can reveal a lot about the personality of the person generating the data. It is layered with meaning and very open to interpretation. Understandably, analysts are focusing more and more on making sense of this unstructured data.

Hacking the human mind with algorithms

Through machine learning, smart artificial intelligence and deep learning, it is now possible to mine volumes of data and find patterns that earlier went unnoticed to human minds, which are ‘biologically limited’. Right kind of data and the power of computers can be utilized to develop algorithms that know more about people than they do themselves. After all, humans are just biochemical algorithms and the amalgamation of neuroscience and artificial intelligence has enabled the creation of algorithms that help understand the mechanics of human mind better than ever before.

In the words of Harari— ‘’As you surf the internet, as you watch videos or check your social feed, the algorithms will be monitoring your eye movements, your blood pressure, your brain activity, and they will know.’’

To read more blogs on big data, analytics and all the latest trends in these fields, follow DexLab Analytics. We are a leading institute providing Hadoop training in Gurgaon. Do take a look at our big data Hadoop certifications— we are offering flat 10% discount in these courses.

 

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