OMG – Precision Farming Has Arrived. Its an era of producing more with less

For more than 10,000 years our farmers have cultivated crops using trial and error, received wisdom and how the soil feels when they rub in their hands. Only recently in history, mechanisation revolutionised the countryside with machinery and replaced farm animals with tractors.

New farming revolution is triggered by the adoption of  Innovative new technologies: satellites feed, high precision data sets, smart sensors and a range of IT applications combined with high-tech engineering – could produce upto 3X the regular yield.

 

 

Yes, You are wrong. Precision Farming is just NOT about = Sensors or Introducing an ERP solution.

Precision Farming is about managing & understanding various parameters in the field accurately to grow more food using fewer resources and reducing farming costs.

All parameters of the environment – Air, soil, weather, vegetation, water , Minerals– vary from place to place. And all these factors determine crop growth and farming success. Farmers have always been aware of this, but they lacked the tools to measure, map and manage these variations precisely. Thus, Precision Farming can make a difference to food production & certainly help farmers to realize more.

Several Components are required for Precision Farming like understanding soil, water content , temperature via various smart sensors – not just from 1 single place, but from various places of the land parcel. This is monitored real-time corrective steps are taken from time to time. Technology is leveraged to take photos of crops and yields randomly via cameras (like drone or surveillance systems) this helps to understand the on-set of any parasite attacks etc.

Advance information like Weather conditions are factored predictive and decision making via systems helps to harvest the crop on time or plan precautionary steps just before the rains etc. It starts from picking up the best seeds to start with, time to germinate and from their own managing each cycle of growth – the natural way using best technology.

Today, there are various models of introducing Precision Farming. Out of Box and Customised Solution. Techuva Solution’s IoT Team has designed customised ERP & IoT Solution to handle precision farming in effective model.

a) Various Sensors monitor real-time parameters.

b) SDN-IoT Solution which can be customized , monitored and controlled remotely.

c) Real-Time, Offline Notifications , Alarms

d) Predictive Weather monitoring solution and feeds from various satellite stations

e) Video Surveillance , Drone Feed

f) Predictive Harvesting Cycles, Climate Condition monitoring, Historical Data Reports

g) Weather Proof IoT Solutions to suit various climatic conditions and needs.

h) Completely Self-Sustained solution (Self Powered, Automatic Data Transmission, Fail Safe, Zero Maintenance)  + No Local IT Infrastructure Required. 

Key Takeaways to Precision Farming

a) Greater sustainability                              

b) Higher productivity                                      

c) Economic benefits

d) Environmental protection

Essentially,Precision Farming has moved from good science to good practice – and has witnessed unprecedented growth around the globe.

 

So Precision Farming is not just a technology keyword, but its the “WAY OF LIFE and WAY FORWARD for FARMING !”

 

Talk to Techuva’s IoT Team for free consultation / idea discussion.

Techuva Solutions is #8 IoT Startup Company in Asia Pacific – CIO Outlook Asia. 

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-Techuva Architecture Team

Embedded Analytics – Your Decision making tool @ every turn !!

Today Embedded analytics is helping businesses move forward and helping them making right decisions.

So lets explore how – Data Driven Business Decisions are far more accurate than Goal Driven Decisions

It’s an exciting time for embedded analytics – in fact, it’s an exciting time in the tech world in general.

Cloud and SaaS services are in abundance – virtualization and other new strategies are making it easier to untether systems from hardware. At the same time, machine learning and artificial intelligence are adding to what digital platforms can do.

Another very exciting point on the horizon is the evolution of embedded analytics – the idea that you can get the power of analytics in a wider range of resources.

When it comes to embedded analytics, not everybody has the exact same interpretation of what this means. In a very general sense, embedded analytics means that user-friendly, self-service applications have analytics tools built into them, instead of the analytics being sourced through a more centralised – and often less accessible – model. So thats they Key. Analytics is built into the platform not sourced into the Platform – Says Techuva’s Architecture Team

Tools like QlikView or BO Report Adaptors – help end users to look for their much needed Analytics right inside application without the need for going a Report / Excel Download .

Example: –  A vendor providing a hotel management application for hotel chains could offer AI functionality to the chain overall and to the individual hotels. Globally and locally, insights from customer data could then be used to improve hotel service and occupancy.  So there by decision making for individual hotel and by global management remain data focussed and decision oriented.

Embedded Analytics can make life easier for users of the application. They can get insights directly from their data without needing to switch to another application. This saves time and effort. It also avoids the need for users to buy another application, or learn a new user interface.

Make or Buy ?

Analytics modules can be developed by own company or provided by a vendor. For embedding analytics in modern applications, it may make more sense to use an “off the shelf product” that specializes in this area. Software developers can then continue to focus on what they are good at, rather than trying to do everything themselves.

Therefore these embedded analytics  deliver the “Insights Your Customers wanted without having to switch elsewhere”.

If you are thinking of using embedded reporting via a product, use this checklist to help you make the right decision:

  • Independence – Can the BI or analytics module be embedded “as is” in your application? Or will it need additional tools or code to function properly?
  • Scalablity  – How many user requests can the module handle at the same time? Will it keep pace with increasing volumes of data and server power?
  • Cookie Cutter Experience  – How long will it take to make the BI or analytics module available to users? Normally, this should be faster than if you developed the module in-house.
  • Flexibility – What are the options for accessing the module from another program (via an API) or creating plugins to use the module’s functionality? Can you customize its output or appearance?
  • Security – How does the BI or analytics module make sure users see just the data they are authorised to see, and no more? How well does BI security extend to a multi-tenant environment and role-based security.

 

Embedded analytics primarily records, report and analyze every unique transaction, instance or process that takes place within the system platform. The captured data is fed into an analytics dashboard and is also available in various report formats.

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-Techuva Architecture Team

How Do You Know If Your UX is Good ?

“It looks beautiful!” “It’s pretty good.” “It does the job.”

These are NOT the worst things people could say about a user interface, but will you be confident that a “pretty” or “OK” user interface is capable of taking the Organisation to the next level ?

How would you define “pretty good” — having a nice appearance, solid design and quality graphics? OK, but do those qualities necessarily result in efficiencies and improvements to your business processes ? How do we scientifically prove it ?

Your answer lies in 3 points

  1. Heat Map Analysis  – This tool understands where the user is spending more time in filling forms, processing orders , approvals etc.
  2. Eyeball Analysis       – This tool understands where the user is spending more time in viewing a page, this helps us to determine whats the best spot in the application to place your AD or sales products.
  3. Under N Review of the UX  – This model allows us users to perform any action in a application under N clicks. This is achieved via the Digital Transformation Score or UX Click Review stream.

A good user interface can have a powerful impact on the usability and user experience of the application.

Eg: A hard-to-use application won’t be used efficiently, and it may not be used at all.

We should look forward to create an interface that enables and encourages end users to use an application frequently so they become more confident, efficient and productive users, says UX Architects of Techuva, who recently reviewed screens which could be across a Indian state by its Citizens.

Following are some real indicators of POOR UX 

  1. Slow task processing
  2. Increased errors
  3. Bad data
  4. Unreliable reports
  5. Slower on-boarding time
  6. Higher training costs
  7. Excessive help desk queries
  8. Low morale or output
  9. Attrition among the users.

 

Following are some real indicators of GOOD UX 

  1. Increased, faster user adoption : Self Starter Application
  2. Fewer errors while doing transaction.
  3. Lower costs in UX maintenance.
  4. Accelerated ROI
  5. A more engaged, satisfied workforce

How to define A Good Interface

Here are few key elements of a good user interface

  1. Perform Analysis on how to task done with a minimum amount of effort and errors   [Under N Analysis]
  2. Learn how to use the interface/application/software quickly, without extensive training or need for assistance [Digital Transformation Review]
  3. Remember how to use it the next time they sign on. [Digital Transformation Review]
  4. Analysis on how an alternative way to get the work done (i.e., manually, in a spreadsheet, etc.) [Digital Transformation Review] This is very important because User’s normally wanted to fall back to the old model always during the first 3 months.

5 Points to Consider during Design

  1. Consistent. No surprises, no ambiguities in process flow
  2. Simple, clear, concise – experience to users
  3. Intuitive. Easy navigation
  4. Responsive. Speed matters
  5. Flexible. It should be easy

3 simple things that best UX School suggests are 

1.Try out different design ideas before finalising it – Conduct Persona analysis , do UX study.

2. Set measurable goals and measure actual behavior – Watch your users, see how they perform.

3. Implement and evaluate   – keep watching over and over, keep making small changes.

 

In the end, a good user interface is one that enables efficiency, increases productivity, supports end users and saves your organisation money & time.

Stay tuned for more ….
– Techuva Architecture Team

Finally, Deep Packet Inspection – A Good Solution for Virus Attacks , Internet Worms etc – Read more.

In a Nutshell – Deep packet inspection (DPI) looks at the contents of data packets, rather than just their headers, leading to more effective security for your network devices.

With the increasing cybercrimes and web attacks prove that the existing web security is under threat in a continuous manner. Year 2018 Witnessed 21% jump in total Virus Attacks worldwide. Hackers are more and more hungry to sneak into your web security and destroy that web application you worked so hard on or share the data with your immediate competitors.

Moreover, with each passing day web attacks are getting smarter, and fighting them is a bottom-line requirement for your online business in order to stay afloat on the web. So, what does your web security standard desperately need? Continuous evolution backed by the research and analysis of recent web attacks.

Deep packet inspection (DPI) is one of the strongest players in the web security niche and it has the potential to outsmart modern web attacks. DPI is an integration of security functions, user service and network management, and these parameters are the building blocks of modern web security protocols. Furthermore, there is a high demand for a versatile web security layer in every sector of the web like big enterprises, global telecom services and governments.

The internet of things (IoT) is becoming a necessary evil for the modern world, as it is fostering new ways to build web attacks, and DPI is one of the best weapons we have for combating these threats. Remember “Every Connected Device poses a threat to the integrated Network”. So its like “Once its inside your network, Its inside already ! “

What Is Deep Packet Inspection?

Deep inspection is a process of network packet filtering. In this method, the data part of a packet is examined at an inspection point for the detection of any unwanted activity, such as spam, viruses, intrusions, or to define a network’s criteria to maintain its flow to the proper destination.

The system is also capable of extracting statistical data from the Open Systems Interconnection (OSI) model application layer.

Now, this is the place where DPI plays an important role. In the entire network of worldwide data flow, almost all of the information passes through unmonitored. In this case, DPI implementation involves uncovering the identity of the packet information. It doesn’t simply check a packet’s header and footer, but scans the data content in each packet. Only after meeting some special criteria of a highly selective firewall, the packet gets re-routed to a particular path which best suits it, depending on the bandwidth measurement.

Undeniably, DPI is the most efficient way of straining out every possible threat over the entire data network by disassembling and examining the payload, reassembling it, and then determining whether to reject it or to transmit it in the most suitable traffic. Not only that, DPI engines strengthen the security protocol by implementing stealth payload detection, signature matching and other similar activities.

So the Conclusion :

Data security is the goal of the day for any business, and only deep packet inspection can ensure this.

DPI is a good reason for celebration for web users. DPI is a shield for us, as it adds an enhanced level of data security to our existing web security system. The cyber world has experienced the blow of heinous attacks like DDoS, ransomware and others.

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-Techuva Architecture Team

Serverless Computing – Unleashing a new startup ecosystem

Serverless Architecture – Removing the Infrastructure Barrier, Forever !

While Server-less Computing isn’t new topic to the Development community, it has reached an interesting place in its development. As developers begin to see the value of this new architecture, a whole new startup ecosystem is about to begin around it.

Just Remember !! Serverless isn’t exactly serverless at all, But the big goal is to enable a developer to focus on Process and Feature Development and leave the infrastructure requirements completely behind to the cloud provider.

The enables the cloud vendors like Amazon – AWS or Azure or Google Cloud  to delivers exactly the right amount of compute, storage and memory and the product development team don’t even have to think about it. How Cool ! isn’t it ?

Remember the benefit it can bring to Startup ecosystems – Companies don’t have to worry about infrastructure at all, they focus on business growth and business scalability….

 

Advantage Factor – It is basically a cloud model where you pay only for the time your code is executed on the cloud infrastructure”

So the primary advantage of serverless computing is that it allows developers to get away all of the challenges associated with managing servers. “So there is no provisioning, deploying, patching or monitoring — all those details at the the server and operating system level go away” – thus making running business more Agile and Frugal, explains Techuva’s Architecture Team.. Who focusses on Cloud Migration , Building Cloud Ready Applications etc.

Early 2000, Companies love to handle their infrastructure on their own, each of the Fortune 100 Companies had their own vast data centres running 100’s-1000’s of servers, Because they love to handle , manage, operate things themselves… but this proved costly when they had to maintain it every single day & as the internet migration happened scaling up became a mammoth task, Fast forward 2015, 29% of Fortune 100% companies are 100% in cloud and around 44% are in some fashion cloud ready. By 2021, 91% of fortune 100 will be running all their mission critical applications in Cloud Infra and they expect most of their services to be running via “Server-less Infrastructure”. The “Pay As you Go” model is a boon, since it dont demand any initial infrastructure cost from the clients.

Evolution :

In the beginning we had physical servers, but there was lots of wasted capacity. That led to the development of virtual machines, which enabled IT to take a single physical server and divide it into multiple virtual ones. While that was a huge breakthrough for its time, helped launch successful companies like VMware and paved the way for cloud computing, it was the only beginning.

Then came containers, which really began to take off with the development of Docker and Kubernetes, two open source platforms. Containers enable the developer to break down a large monolithic program into discrete pieces, which helps it run more efficiently. More recently, we’ve seen the rise of serverless or event-driven computing. In this case, the whole idea of infrastructure itself is being abstracted away.

Big Advantages :

  1. Removing Scalability and Processing Complexity from Application Architecture.
  2. Easy of Development – Focus on Business Logic and Not on Managing Resources.
  3. Enabling Power of cloud computing – Do more with less.
  4. Cost Effective – Don’t need large physical servers or VMs

Few things to Remember, while choosing a Serverless Architecture

  1. Every thing is cost driven               :
    Hence be mindful.
  2. Everything is provider dependent :
    Mind it ! What works on one Cloud Provider – don’t have to work in the next one.
  3. Logging and Security                       :
    Since Infrastructure and Processing is managed by the provider, be watchful of the Logs , Exceptions and Security also.

Few Predictions on this topic by Analysts.

  • Increased lock-in behavior on the part of cloud providers 
    • Thus making customers stick to the cloud vendor.
  • Improved Service Discovery
    • Single Point visibility of the services
  • Reinvention of Debugging Technology
    • New modern methods to search / parse / view log files.

 

The way world is seeing it now :
Infinite independence + cost effectiveness + boundless flexibility = Happy Startups Everywhere!

for any free IoT / DevOps / Cloud Migration / Ideas  – write to us info@techuva.com

stay tuned for more..

Keep Reading !
– Techuva Architecture Team

What Kinds of Business Problems Can Machine Learning Handle ?

5 PROBLEMS THAT CAN BE EASILY SOLVED BY MACHINE LEARNING.

Machine Learning and Artificial Intelligence have gained prominence in the recent years with Google, Microsoft Azure and Amazon coming up with their Cloud Machine Learning platforms. But Interesting fact is that we have been experiencing machine learning without knowing it.

A simple usecase for our understanding :

The image tagging by Facebook and ‘Spam’ detection by email providers like gmail. e.g.  Facebook automatically tags uploaded images using face (image) recognition technique and Gmail recognizes the pattern or selected words to filter spam messages.

Let’s take a look at some of the important business problems solved by machine learning.

a. Detecting Spam :
Spam detection is one of the first use cases of ML. Long ago email service providers used pre-existing rule-based techniques to remove spam. But now the spam filters create new rules themselves using ML, this is achieved via ‘neural networks’ in its spam filters, Google’s Brain-like “neural networks” in its spam filters can learn to recognise junk mail and phishing messages by analysing rules across an enormous collection of computers. Today 75%+ phishing and spam emails don’t even land up in a customer inbox ! boom – what a relief ?

b. Sentiment Analysis & sales recommendation :

Given a set of tweets, Facebook posts of a given location or of a person during a specific time window and with the chain of events followed by it, ML can determine the sentiment and mood analysis of a Individual or a City or even that of a movie launch or even Election Results. Also Unsupervised learning enables a product based recommendation system. Given a purchase history for a customer and a large inventory of products, ML models can identify those products in which that customer will be interested and likely to purchase. The algorithm identifies hidden pattern among items and focuses on grouping similar products into clusters. A model of this decision process would allow a program to make recommendations to a customer and motivate product purchases. E-Commerce businesses such as Amazon has this capability. Unsupervised learning along with location detail is used by Facebook to recommend users to connect with others use

c. Predictive maintenance

Manufacturing industry can use artificial intelligence (AI) and ML to discover meaningful patterns in factory data. Boeing uses large amount of real-time flight data to understand, re-learn and make corrective and preventive maintenance of their planes. This helps them to understand the performance and utilisation in real-time. Corrective and preventive maintenance practices are costly and inefficient. Whereas predictive maintenance minimises the risk of unexpected failures and reduces the amount of unnecessary preventive maintenance activities.

d. Image recognition

Computer vision produces numerical or symbolic information from images and high-dimensional data. It involves machine learning, data mining, database knowledge discovery and pattern recognition. Potential business uses of image recognition technology are found in healthcare, automobiles – driverless cars, marketing campaigns, etc.

 

 

 

 

 

 

 

 

e. Speech recognition 

There is no single combination of sounds to specifically signal human speech, and individual pronunciations differ widely – machine learning can identify patterns of speech and help to convert speech to text. Alexa and Amazon Echo are great examples of Speech Recognition.

So all Machine Learning Problems go by the saying ” Begin with a priority problem, not a toy problem”. 

The reason why it has become complicated due to many companies who read about ML with enthusiasm and they decide to “find some way to use it.” This leads to teams without the real motivation or gusto (or committed resources) to drive an actual result. Pick a business problem that matters immensely, and seems to have a high likelihood of being solved.

So the definition of ML is – Its the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.

Do you know .. what’s in the Air you breathe ?

Pollution-AQI

Breathe Well, Live well .. (A popular Ayurvedic saying).
It means : The better we breath, the more we live, the better the air.. the better the breathe.

Do you know :  On Any given day we breathe approximately 25,000 to 30,000 times. An Adult needs approx. 500 litres of pure oxygen.  More than 50% of the urban population across the world don’t breathe good quality air & this is just the beginning.

AQI

We thought the Air in our homes are much better ? You are wrong ! So read more and understand how to stay ahead of this Urban Air Pollution mess..

When is the last time you took a full breath of clean, fresh air ? There is something about clean & crisp air that is completely unforgettable: the way it feels on you, the energy it brings to your body, and the freshness it contributes to that moment. This something that a lot of us don’t experience all too often.

 

Did you know that the air in an average home is 4-5 (even up to 10) times more polluted than the air outside?

Indoor Air Pollution: Why is it a problem?

Have you ever been in a building that immediately makes your eyes watery, throat scratchy or skin dry? It’s not your imagination or a consequential manifestation of your desires to be “allergic to work”- these are in fact very real symptoms of sick building syndrome, a common phenomenon created from pollutants in an indoor space.

While new technologies work to combine energy efficiency with adequate ventilation and non-toxic building materials, such architectural shifts are slow and can be expensive to incorporate in an already sagging real estate market. However, with most of us spending about 90% of our time indoors at stuffy schools and offices, in sweaty gyms or relaxing in our homes, this issue is not really something that can wait. According to the Environmental Protection Agency (EPA), poor indoor air quality has been linked to a multitude of conditions,

Eye, nose, throat and skin irritation
Respiratory tract infections: bronchitis, pneumonia, ear infections
Increased severity and frequency of asthma episodes
Dizziness, fatigue and lethargy
Damage to liver, kidneys and central nervous system
Chronic health conditions including heart disease, cancer and infertility

So what causes Air Pollution: 

Volatile Organic Compounds (VOCs) : Household products: paints, paint strippers, wood preservatives, aerosol sprays, cleaners/disinfectants, air fresheners, stored fuels and auto products, hobby supplies, dry-cleaned clothing.

Formaldehyde : Pressed wood products (plywood paneling, particleboard etc): furniture, decking, playground equipment; durable press textiles, glues, insulation

Biologicals (Pollen, Fungi, Dust Mites, Airborne bacteria/viruses) : Wet or moist walls, ceilings, carpets, bedding, household pets, poorly maintained humidifiers/air conditioners

Asbestos : Deteriorating, damaged, disturbed insulation, fireproofing, acoustical materials, floor tiles

Pesticides : Products to kill outdoor pests, garden and lawn chemicals

Respirable Particles : Cigarette, pipe and cigar smoke, wood stoves, fireplaces and kerosene heaters

What can you do about it?

Increase ventilation in your home

Find a high quality air purifier & air quality monitors.

Get some houseplants

Clean Curtains and Carpets frequently.

Knowing what’s in your Air ?

Air Quality Monitors help us to monitor, measure the quality of the air we breathe frequently.  It can alert us when something is not right like excess Carbon dioxide, Carbon monoxide, Other toxic gases, Dust, Oxygen content etc.

There are several off the shelf products that can help measure things for you.  There are also custom monitors that are designed based on our needs and which can do notifications / open ventilations / perform actions etc. Techuva helps build need based IOT equipments (with AMC, Warranty, Installation, O & M) at much competitive rates than an off-the-shelf products.

Our Indoor, Outdoor Air Quality Monitors comes [Built on open-stack] comes with a Mobile App, Desktop App, Live Reports & Instant Notifications – supports 2 models  (a) PaaS Model (b) On-Premise model.

Techuva Solutions is an Custom IOT Startup Company, Who does from Idea to Product Design to Manufacture and Installation under 1 roof. IoT Components are sourced from 10+ countries.

Techuva is also an Top 25 IoT Startup Company in ASIAPAC [CIO Outlook Asia – 2018]

Need a free consultation / Product Discussion – Chat with our IoT Architects for free (write to us : info@techuva.com)

Can Airlines or Travel apps predict your next travel ? An Interesting Insight

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YES ! Your Airline does knows where you will travel next upto 61% accuracy.

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airline cards

Yes people travel for a wide variety of purposes like for Work, Tour, Leisure, Hobby etc. Airline Industry’s competition has reached a point where they are spending crores of rupees on data mining, pattern matching, browser cookies sharing, loyalty programs etc.

eg : The Loyalty Program of the private airlines are “BIG Golden eggs” for analysis and understanding their precious customer’s choices, pattern and several insights.

Big Data Analytics to Airline Loyalty programs is a classic example of data can be analyzed and understood in different dimensions. In airlines industry, transactions are an indicator of the satisfied needs of members, and not necessarily an indicator of the latest needs.

Members may not necessarily make the same transactions again and again in airlines, unlike industries like Flipkart of Amazon. Hence, looking at interactions data and open data augmentation can help airlines to predict the needs of customers better. Airlines can leverage such data to understand what type of traveler a member is and predict what destinations would interest him/her. It doesn’t ends there – Data is shared across their trusted partners. Collaboration is the Key.

Everytime when a customer books a ticket to destination – more offers and value additions of that place is shared to the customer to make “upsell”. Airline analysts feels that “Customer in hand, is worth 3 new customers”.

Consumers can get concerned when they are repeatedly targeted by blanket advertisements. However, they are delighted when they are served offers that match their needs. In this case, an airline loyalty program that truly understands you can make your dream trip a reality.

Predictive analytical techniques can help brands to pick up 6 different categories like persona attributes, needs, sentiment, nice-to-have, relationships and life events of their members from various data sources.

This enables Performance Marketing to be executed in the right manner, leaving users delighted.

For example, the date of your marriage or bday could be detected from the digital footprints you leave behind online. Airlines can leverage these techniques using cookies, shared data from other vendors to send the right offers at the right time. What if the airline loyalty program sends Alicia an irresistible “flights and stay” offer to the Goa or Singapore just in time around the bonus.

 

So Performance Marketing , Analytics & Upsell – It’s the future.

stay tuned.. for more.

-Shan
Techuva Solutions Pvt LtdA Digital Transformation & Personalised IoT Company focussed on delivering customised IOT Solutions.

Millennials are the Top Cybercrime Targets. Why ?

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Question – Millennials are being hit harder by cybercrime than any other generation. Why is that ?

 

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Though stealing someone’s identity is illegal, there are plenty of sneaky but legal tactics scammers and hackers employ that can expose you to identity theft as well. The first step in preventing this distressing scenario is being aware of the more common data collection schemes used to leave you vulnerable.

The millennials are among those groups of people who are most adversely impacted by cybercrime. Data seems to point to poor awareness of basic security habits as the main reason millennials have been hit so hard. To mention just a few of their poor security habits, members of this generation tend to be CARELESS with credentials, as well as visiting unsecure websites and performing transactions over public and unsecured Wi-Fi networks especially in unsuspected areas like Coffee stations, Airports, Malls etc.

Lack of familiarity with standard security measures and obsession with the internet could be the reasons millennials tend to be so reckless with their browsing habits. It seems that the sudden improvement in internet browsing experience and surge in online transactions and mobile apps (which are less secure) have also partly contributed to the reckless behavior. Improved awareness is probably the only solution to the problem. With cyberattacks on the rise in terms of both volume and variety, millennials could be sitting ducks.

  • A survey of fraud victims by internet firm found that millennials are more likely to fall victim to online scams than those 55 or older.
  • They also found that 10 percent of millennials fell victim to phishing and other cyberscams in 2017. Those millennials lost £612 ($856) on average.
  • Media Smarts, a public-private partnership which promotes digital and media literacy, surveyed people to find that more than one-third of millennials did not believe that schools and colleges had been providing adequate training in cybersecurity best practices.
  • Millennials tend to use weak or commonly used passwords that can be easily guessed. As a result, the systems or accounts can be easily breached. Another dangerous practice followed by millennials is sharing of passwords.

So, Why Are Millennials so Vulnerable?

The millennials are part of a unique generation that straddles two different eras in terms of access to technology. When they were born, the internet was probably at a nascent stage, accessible to only a few. By the time they attained adulthood, or were maybe in their mid-30s, access to the internet was considered a necessity. This can probably explain, to an extent, the careless attitude of millennials towards online browsing.

Conclusion

It is interesting that the millennials would behave the way they do, when it comes to online transactions. It seems that there are two ways they can make themselves more secure against cybercrimes. One, over time, they learn from their mistakes and become smarter about online security.

Also, they will have the examples of their succeeding generations, who are probably savvier as far as online transactions are concerned. Two, there needs to be a greater emphasis on awareness toward secure online transactions.

The initiatives need to come from different levels: government, schools and other educational institutions. However, improvement in online behavior is going to take a long time because it is basically a cultural and mindset issue.

Until then, millennials represent an easy target for cybercriminals because on a retail basis, it offers the lure of easy money for the cybercriminals.

Stay tuned for more 

Hybrid Cloud – Why Enterprises are moving there ?

Public Cloud – For the last decade, the cloud computing has been the focus of IT decision makers and corporate IT Heads, but many security-conscious businesses have been hesitant to move data and workloads into the cloud.

Now, with the underlying technology behind cloud services available for deployment inside organisations, a new model of cloud computing is gaining a foothold in business: the hybrid cloud.

What is hybrid cloud?

What customers want to do is simply use multiple clouds – like One or more public clouds connected to something in a data center. That thing could be a private cloud, that thing could just be traditional data center infrastructure.

Hybrid cloud is the combination of one or more public cloud providers (such as Amazon Web Services or Google Cloud Platform) with a private cloud platform — one that’s designed for use by a single organisation — or private IT infrastructure. The public cloud and private infrastructure, which operate independently of each other, communicate over an encrypted connection, using technology that allows for the portability of data and applications.

So in other words .. Hybrid cloud is particularly valuable for dynamic or highly changeable workloads. For example, a transactional order entry system that experiences significant demand spikes around the holiday season is a good hybrid cloud candidate. The application could run in private cloud, but use cloud bursting to access additional computing resources from a public cloud when computing demands spike. To connect private and public cloud resources, this model requires a hybrid cloud environment.

Public cloud’s flexibility and scalability eliminates the need for a company to make massive capital expenditures to accommodate short-term spikes in demand. The public cloud provider supplies compute resources, and the company only pays for the resources it consumes.

So for end-consumer -hybrid is defined cloud as: “Two or more disparate cloud computing environments that are used in conjunction to serve a workload or an application in concert through a single management plane.”

There are tools to manage the same, such as Egenera PAN Cloud Director, RightScale Cloud Management, CliQr’s CloudCenter and Scalr Enterprise Cloud Management Platform help businesses handle workflow creation, service catalogs, billing and other tasks related to hybrid cloud.

The benefits of going hybrid

With the hybrid cloud model, IT decision makers have more control over both the private and public components than using a prepackaged public cloud platform.  “you get everything that you want.” This includes increased efficiency and the flexibility to meet disparate needs.

So analysts calls this as “It lets you pick the right cloud for the right workload,”

Building a hybrid cloud with private infrastructure that’s directly accessible — in other words, not being pushed through the public internet — greatly reduces access time and latency in comparison to public cloud services.

Where hybrid doesn’t work

Although hybrid cloud provides several advantages over the public-cloud-only, it still suffers from the same privacy and security issues that plague the popular perception of public cloud platform providers. Allowing information to be transported across a network that can be subject to third-party interference or tapping is, to many organizations, an unnecessary and unacceptable security risk.

Who uses hybrid cloud?

The industries that are moving to hybrid, such as media and finance.

Hybrid clouds are frequently deployed in the financial sector, particularly when proximity is important and physical space is at a premium — such as on or adjacent to a trading floor. Pushing trade orders through the private cloud infrastructure and running analytics on trades from the public cloud infrastructure greatly decreases the amount of physical space needed for the latency-sensitive task of making trade orders. This is crucial for data security, as well. Threshold-defined trading algorithms are the entire business of many investment firms. Trusting this data to a public cloud provider is, to most firms, an unnecessary risk that could expose the entire underpinnings of their business.

Infact, Law firms also utilize hybrid cloud infrastructures with private elements, often as encrypted offsite data stores, to safeguard against the potential for loss due to theft, hardware failure, or a natural disaster such as a cyclones or hurricanes destroying the original documentation or evidence.

 

So ultimately, our conclusion –

While the upfront cost of server hardware for the private end of the hybrid cloud is high, the control that IT departments can wield over hardware selection and system design for the private component offers an invaluable way of properly tailoring resources to the business’s needs. Assembling a private cloud to handle a standard workload, with burst compute offloaded to the public cloud, can be a long-term budget-friendly arrangement.

Hybrid cloud allows organizations to leverage public cloud services without offloading the entirety of their data to a third-party data center. This provides a great deal of flexibility in computing tasks, while keeping vital components within the company firewall.

Stay tuned for more..

– Techuva Design and Artistic team.