Can we do puja during Rahu Kaal?

Rahu Kaal is one of the inauspicious segments of the day. According to most astrologers, this is the duration when an individual should avoid performing any auspicious event or start any new work.

It is said that, anything that is done during the Rahu Kaal timing turns unfruitful. At this time, the negative energy is at the highest. Thus, natives should devote themselves to worship and prayers of Lord Shiva and Goddess Durga. But how true is this belief? Can we do Shiva Puja during Rahu Kaal timings? And if yes, then how fruitful is doing Shiva Puja this time.

In this post, you will know everything about Rahu Kaal, its remedies and the significance of  Puja during Rahu Kalam.

What is Rahu Kaal?

Rahu Kaal is the one of eight segments or Muhurat of the day when the impact of Rahu is strongest. It starts between sunrise and sunset and the duration lasts for 90 minutes. Unlike the other Muhurats, Rahu Kaal occurs every day and varies in location and time. Thus, natives should always check Rahu Kaal Today from the Hindu Panchang.

Malefic Effect of Rahu Kaal

According to astrologers, Rahu is the most malefic planet in Vedic astrology, It creates false assumptions in the mind of the natives and tempts them to choose the wrong path. The natives in its influence surround with illusions and become over ambitious. They desire wealth from wicked means and often end up taking heavy loans and debts. It is believed that if anything is performed during Rahu kaal or started in this duration then it turns unfruitful and void.

During Rahu Kaal, people should follow the remedies of Rahu Dosha Muhurat. This will help them to get rid of the negativity and gain clarity in their mind. As per Hindu traditions, worshipping Goddess Durga and reciting Durga Stotram are very fruitful in Rahu Kaal or Rahu Mahadasha. Another useful remedy that is considered Shubh during Rahu kaal is praying to Lord Shiva.

Significance of Worshipping Lord Shiva in Rahu Kaal

In Hindu mythology, Lord Shiva is considered as the destroyer of the Earth. He is the epitome of Supreme power and is believed to be the most kind and generous Lord for both demons, Gods and humans.

As per Hindu scriptures, by worshipping Lord Shiva and reciting Kaal Bhairava Mantra in the Rahu Kaal period is very fruitful. The Shubh Muhurat for reciting Kaal Bhairava Mantra is Rahu kalam on Sundays between 4:30 PM to 6:00PM.

To calculate Rahukaal, the time between the sunrise and sunset is divided into 8 units or time-groups, which time-group will have the Rahukaal depends on the weekday. For each weekday, Rahukaal falls as under:-

Sunday – 8th Muhurt (Unit)

Monday – 2nd Muhurt

Tuesday – 7th Muhurt

Wednesday – 5th Muhurt

Thursday – 6th Muhurt

Friday – 4th Muhurt

Saturday – 3rd Muhurt

At 7.30AM Monday SAW FATHER WEARING THE TURBAN SUDDENLY”

use the concept to read as  

1. Monday = Monday (7.30-9.00)
2. Saw = Saturday (9.00-10.30)
3. Father = Friday (10.30-12.00)
4. Wearing = Wednesday (12.00-13.30)
5. The = Thursday (13.30-15.00)
6. Turban = Tuesday (15.00-16.30)
7. Suddenly = Sunday (16.30-18.00)

Anyone who worships Lord Shiva and offers coconut, sindoor, flowers, mustard oil,black sesame etc. in this Puja Muhurat receives blessings and overcomes all the diseases, adversaries, enemies and poverty.

Here are the powerful Mantras that may guard you from the malefic effects of Rahu Dosha and Rahu Kaal Muhurat.

Kaal Bhairav Beej Mantra:

1. “Om aim hraam kleem shri batuk bhairavaya”.
2. “Om Hreem Bum Batukaya Apadudharanaya Kuru Kuru Batukaya Hreem Om Namaha Shiyaye “
3. “Om Hraam Hreem Hroom Hrime Hroum Ksham Kshetrapaalaaya Kaala Bhairavaaya Namaha”Kaal Bhairava Gayatri Mantra:
4. “Om Kaalakaalaaya Vidhmahey Kaalaatheethaaya dheemahi Thanno Kaala Bhairava Prachodhayaath”

Reciting the above Mantras in the Rahu Kaal repeatedly gain prosperity and wealth in their life.

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Ashwini Nakshatra

Unconstrained's is the word to portray this current nakshatra's in single word. It is a nakshatra which is route in front of the wide range of various nakshatras to the extent starting anything. It is likewise the speediest among the nakshatras. All related characteristics with snappiness and quickness structure the center of Ashwini's working. 

One can see that to be brisk one must be immediate and direct. This nakshatra has a direct, straightforward way to deal with managing things and life all in all. This nakshatra is identified with Sage 'Marichi' which means Light; no big surprise Ashwini is the lightest and swiftest among all the nakshatras. 

Whole Ashwini Nakshatra falls in Sign Aries whose ruler is Mars that is the manner by which this sign has such a large amount of activity power. Mars is the motor which drives Ashwini's vehicle. This nakshatra likewise has a cozy relationship with Sun, since Sun arrives at greatest praise here. Furthermore, planetary leader of this Nakshatra is Ketu.The innovative power of Ketu can now and then be so solid and overpowering that it gets hard to control or channel. This is the place where things turn out badly with this nakshatra. Its destruction for the most part comes through endeavoring near potential accomplishments without legitimate thought. Anyway when it succeeds, it gets the pioneer label.This nakshatra has a solid confidence in sorcery and the decree – "the sky is the limit". 

Sun, Ketu and Mars communicate firmly when set in Ashwini. Mercury, Venus, Jupiter and Rahu are acceptable here as long as Ketu is all around set. conjunctions of Sun/Ketu; Sun/Mars and Mars/Ketu convey energies like Ashwini. 

The locals with noticeable Ashwini never lose a moment in changing over their driving forces into musings and their considerations energetically. This frequently brings about a hasty personal conduct standard, which in its adverse perspective regularly prompts carelessness. All the expressions like "Rush causes deferral, and scurry makes squander", goes to Ashwini locals. At the point when Ashwini is ascending on the Ascendant, it makes the individual short, athletic, hearty and beguiling in a guiltless kind of way. 

The hav inclination not to gain from their missteps, and can be believed to rehash a similar slip-up again and again. Ashwini locals typically prefer to dress well and can be seen investing a lot of energy in their closet. 

Calling : Horse Trainers and Keepers,horse Racing Enthusiasts/Gamblers; All kinds of Healing Professions (in the current day and age – Physicians, Therapists, Chemists, Counselors, Physiotherapists, Druggists and Surgeons); MarriageCounselors and Childbirth Specialists; Those associated with limited time and Motivational positions and missions; Athletes and all Sport related positions; All those engaged with Racing Professions like Motor Sports; Adventure Sports; Explorers; Stunt Men; Researchers and Pioneers; Soldiers; Generals; Mechanical Engineers and those associated with Engineering Professions when all is said in done; Jewelers particularly Goldsmiths; 

first Pada : 00° 00′ – 3° 20′ Aries, falls in Aries Navamsa and is controlled by Mars. This pada is loaded with activity and offers bountiful energy and ive. 

second Pada : 3° 20″ – 6° 40′ Aries, falls in Taurus Navamsa controlled by Venus. This pada likes to see the material appearance of its musings and thoughts. 

third Pada : 6° 40′ – 10° 00′ Aries, falls in Gemini Navamsa administered by Mercury-This pada identifies with the light, diverting, open part of this nakshatra. This pada gives an extremely fast perception and makes one skilled in a wide range of mental movement. It tends to be supposed to be the quick jack of the zodiac. 

fourth Pada : 10° 00′ - 13° 20′ Aries, falls in Cancer Navamsa managed by Moon. This pada identifies with the mending part of Ashwini. This pada has an eye for individuals' requirements. 

One characteristic of Ashwini locals is that they are moderate eaters and are unassuming in any situation. They are not the hotshot types and are not prone to brag over their achievements. They have a thing about acting naturally adequate and don't care to be Dependant on others. Ashwini is an extremely clever nakshatra. Locals under its impact consistently appear to concoct the necessary assets under the most unfriendly conditions, similar to a wizardry. they need order and perseverance needed to accomplish flawlessness. 

Model : Bruce Lee, the celebrated military craftsman, was brought into the world with Ashvini ascending on his Ascendant. His life completely shows all the various parts of this nakshatra. Other than his stunning quickness and speed, the function which promptly shows Ashwini's energies identifies with the practically enchanted recuperation he produced using a physical issue, which specialists thought would incapacitate him forever. Ashwini is generally viable with Shatabisha

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12000HP New Indian Railway Loco Engine -World First Fastest and Largest Engine on Wide gauge track

 

Alstom will make 10 WAG 12 locos to Indian Railway. This number will increment to 90 next monetary and 100 for each annul subsequently. 

Alstom had conveyed model train in March 2018. In light of the test outcomes, The new plan of train has been setup by RDSO at Madhepura plant and cleared for dispatch. 

Such High Horse Power and Fast trains are not being tried on wide measure network on the planet by any Railways.

Advantages 

IR choose to secure 12,000 strength twin Bo-Bo plan Locomotive with 22.5 T (Tons) pivot load upgradable to 25 Tons with a plan speed of 120 kmph. 

What is Bo-Bo? Bo-Bo is the two wheel combination bogie which is good for high speed low load bearing capacity with independent drive motors for each axle , Co-Co is the three wheel combination bogie, low speed high load carrying capacity.

IR choose Bo-Bo and  made a intelligent choice by making the engine longer and making it into two parts, advantages it has enough weight to pull heavy weight and turn easily due to the articulated joint between two parts. it will be pulling 6000 Tons of load, at 100Km and the train is supposed to be 2 KM long in length. The Dedicated Freight Corridor will ensure high speed. 

The train is going to remove 600 trucks from road assuming 10T per truck, reducing traffic in road and cost of transport. 

The loco production line alongside municipality in Madhepura, Bihar was set up at a venture of Rs 2,000 crore. Its yearly assembling limit is 120 trains.  

One upkeep workshop has just been set up in Saharanpur. Work on the subsequent workshop is scheduled to begin at Nagpur. 

In excess of 300 Engineers from India and France are working in Bangalore, Madhepura and France on this Project. The primary loco has been amassed in Madhepura and in two years time, more than 90 percent parts will be produced in India. 

This IR-Alstom JV, called Madhepura Electric Locomotive Pvt. Ltd or MELPL to put it plainly, was marked in 2015. It is worth Euro 3.5 billion and the agreement is to make and keep up 800 locos.

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Best Artificial Intelligence in Manufacturing in 2020

Summary

The increase in the cost of labor and related supply–demand dynamics along with higher levels of output, better quality, and fewer errors are the major macro drivers for the growth of Artificial Intelligence in manufacturing market. 

Predictive maintenance, package inspection, defect detection, barcode reading, product and component assembly, machine safety, tracking and tracing, are the major applications for which computer vision technology is deployed in a manufacturing plant. Volvo’s Early Warning Systems collects data from its vehicles and applies Teradata ’s Unified summary Architecture to predict car failures and improve diagnostics and service.

Best Artificial Intelligence in Manufacturing

Artificial Intelligence (AI) in manufacturing is defined as a simulation of human intelligence used to communicate with the machines, extract the data from the field, analyze the extracted data, and perform the required task. 

From material movement to machinery inspection and self-diagnostics, which are usually operated by human labor or robot with the help of human intelligence, the AI-based system would perform in lesser time, cost, and human intervention. 

360Quadrants recognizes the below-listed companies as the best artificial intelligence in manufacturing.

Artificial Intelligence in Manufacturing 2020: 

1. Intel Corporation 

2. Nvidia Corporation 

3. IBM Corporation 

4. Google 

5. General Electric 

6. Microsoft 

7. Siemens AG 

8. Progress DataRPM 

9. General Vision 

10. Sight Machine 

Artificial Intelligence in Manufacturing 

Market Overview 

AI is a set of computational technologies that make a computer “ think” intelligently. Since the inception of AI, developments have been patchy and unpredictable; however, significant recent developments have proved a boon to this sector. 

The manufacturing industry is witnessing a new wave of technological revolution, which is boosting the idea for implementation of AI in factories/plants. AI-based solutions are adopted in manufacturing facilities to improve productivity by maximizing asset utilization, minimizing downtime, and improving machine efficiency. Moreover, Artificial Intelligence in manufacturing is expected to enhance productivity through quality control by detecting defects and help in the predictive maintenance of factory machinery. 

Extensive usage of big data, Industrial Internet of Things (IIoT), smart factory, and robotics are among the major factors driving the growth of this market. The increase in the cost of labor and related supply–demand dynamics along with higher levels of output, better quality, and fewer errors are the major macro drivers for the growth of Artificial Intelligence in manufacturing market. Therefore, manufacturers and technology providers are spending heavily on research and development (R&D) to fulfill this market demand . 

Artificial Intelligence in manufacturing market marks a revolutionary convergence of different stakeholders such as hardware providers, software and technology companies, and manufacturers. Artificial Intelligence in manufacturing market is expected to be valued at USD 1.03 billion in two thousand and eighteen and is likely to reach USD 17.22 billion by 2025, at a CAGR of 49.5% . 

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY 

20 companies offering top artificial intelligence in manufacturing were analyzed, shortlisted and categorized on a quadrant under Visionary Leaders, Innovators, Dynamic Differentiators, and Emerging Companies to identified best facial recognition solution providers. 

The competitive leadership mapping (Quadrant) showcased below provides information for twenty top artificial intelligence in manufacturing. Vendor evaluations are based on two broad categories: product offering and business strategy. Each category carries various criteria, based on which vendors have been evaluated. The evaluation criteria considered under product offerings include the breadth of offering, delivery (based on industries that the vendors cater to, deployment models, and subscriptions), features/functionality, delivery, product quality and reliability, and product differentiation. The evaluation criteria considered under business strategy include geographic footprint (on the basis of geographic presence), channel strategy and fit, vision alignment, and effectiveness of growth (on the basis of innovations, partnerships, collaborations, and acquisitions).

VISIONARY LEADERS

Visionary leaders are the leading market players in terms of new developments such as product launches, innovative technologies, and the adoption of growth strategies. These players have a broad product offering that caters to most of the regions globally. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and their well-established brand equity. 

DYNAMIC DIFFERENTIATORS 

Dynamic Differentiators are established players with very strong business strategies. However, they have a weaker product portfolio compared to the visionary leaders. They generally focus only on a specific type of technology related to the product. 

INNOVATORS 

Innovators in the competitive leadership mapping are vendors that have demonstrated substantial product innovations as compared to their competitors. The companies have focused on product portfolios. However, they do not have very strong growth strategies for their overall business, when compared with the visionary leaders. 

EMERGING COMPANIES 

Emerging companies have niche product and service offerings. Their business strategies are not as strong as that of the established vendors. The emerging vendors include the new entrants in the market, emerging in terms of product portfolio and geographic reach, and require time to gain significant traction in the market. 

Who uses Artificial Intelligence in Manufacturing? 

Automobile Industry

Artificial Intelligence in manufacturing market for the automobile industry was the largest in 2017. To reduce costs and improve the quality of vehicle production, automobile makers have started using computer vision and machine learning technology. In many passenger vehicles, four clips known as roof mole clips, which secure weather-proofing strips above each of the four doors are incorrectly assembled resulting in the interruption of vehicle sequencing and expensive hand reworking. This leads to increased downtime, vehicle recall, and loss of revenue. Moreover, painting the vehicle, inspecting the combustion engine, and electrical wearing are big issues. Manual system or robotics cannot zero down these issues. 

AI-based computer vision technology is installed on the production line to inspect the clips on the driver ’s side. The AI-based technology detects the clip’s presence, orientation, and movements in paint variations, and combustion engine input output ratio. During the comparison, an extensive amount of deep learning algorithm is used. In the final assembly line, the computer vision technology inspects each of the two front and two rear end clips, along with the painting, nuts, and electric wearing. The deep learning algorithm helps to ensure accurate results. 

Energy and Power 

Globally, the increasing demand for energy and power encourages companies operating in the energy and power industry to adopt AI-based solutions that can help them enhance production output with minimum maintenance and reduced downtime. Maintenance and inspection are the major issues along with material movement in a thermal plant as the material needs to travel a long distance inside the plant with heavy weights. The equipment such as turbine, conveyer belt, grids, and voltage transformer are costly. Moreover, there are issues related to fuel mix, ambient temperature, air quality, moisture, load, weather forecast models, and market pricing in the power industry. Using Artificial Intelligence in manufacturing-based technologies, these issues can be solved accurately as well as predict the possible issues that may arise in the future. 

Pharmaceutical Companies

The pharmaceutical companies are using Artificial Intelligence in manufacturing for quality control, material movement, and production planning. In quality control, the computer vision technology analyses the images, ingredients, and separates the outlier object, if found. This quality control method is followed by material movement and production planning. In this material movement procedure, the AI-based system checks whether the right material is being packaged. Moreover, the AI system also places the material in the storage room once the process is completed. 

Heavy Metals

Heavy metals and machine manufacturing comprise the production of various kinds of machinery used in construction, infrastructure, or manufacturing applications. A few important processes for manufacturing these devices are stamping, bending, forming, and machining, which is required to shape individual pieces of metals. Processes such as welding, and assembling are used to join separate parts. Maintenance cost and repairing cost of machines directly affect the total cost of production. 

The implementation of Artificial Intelligence in manufacturing in the heavy metals and machine manufacturing industry can help manufacturers analyse machine conditions in advance to avoid unplanned downtime and wastage. Machine breakdown and unplanned downtime delay the production process, which causes a huge loss to industrial equipment manufacturers. 

Semiconductors and Electronics

Artificial Intelligence in manufacturing is used for production planning, quality control, and material movement. The implementation of AI-based solutions is expected to benefit manufacturers in terms of optimizing the production cost, technology implementation, and integration of components. The manufacturing of electronics equipment is a complex process and requires manufacturing-related data on a real-time basis. These data help in planning and maintaining the production process efficiently. Thus, AI solutions help the companies operating in the semiconductor and electronics equipment industry to analyse the data collected at all points to aid improved decision-making for the manufacturing process. Which technologies are used in Artificial Intelligence in Manufacturing? Machine Learning - Machine learning enables systems to automatically improve their performance with experience. ML aims to develop a computer program/algorithm that can access data and use it to train itself with no human intervention. ML is expected to account for the largest share of Artificial Intelligence in manufacturing market. This is attributed to the enormous availability of data, also called big data, and increasing adoption of ML by factories to improve productivity, reduce machine downtime, and reduce operational cost. 

Natural language processing (NLP) 

Natural language processing (NLP), a form of automatic speech recognition, is among the emerging AI technologies. NLP is developed for making real-time translation and developing systems that can interact through dialogues. NLP consists of text analytics, speech analytics, IVR, pattern and image recognition, auto coding, classification and categorization, and optical character recognition OCR. 

In NLP, a computer uses a statistical model that converts natural language into a programming language file 

Vision Technology

Computer vision technology is concerned with the physical structure of 3D objects attached to an intelligent computing system. Computer vision analyses the information of different geometric shapes, volumes, and patterns, and provides visual feedback to the user, which is further used to draw the inference. The fundamental objective of computer vision technology is to interpret the picture obtained through a high-resolution camera. These systems are employed in robots or satellite systems. Predictive maintenance, package inspection, defect detection, barcode reading, product and component assembly, machine safety, tracking and tracing, are the major applications for which computer vision technology is deployed in a manufacturing plant. 

Context-Aware Computing

Context-aware processing or context-aware computing has been an integral part of a computer system. The development of more sophisticated hard and soft sensors has accelerated the growth of context-aware processing. Context-aware processing is featured in most smartphones nowadays, with some core applications being reminders of calendar events, personalized user interface, and tagging pictures with time and identity. Increased processing power, innovative sensing capabilities, and improved connectivity have resulted in the growth of context-aware processing systems. A few core applications include heat, light and sound sensing, and machine monitoring. What drives the Artificial Intelligence in Manufacturing market? Increasingly large and complex data set. Evolving industrial IoT and automation. Improving computing power and declining hardware costs. Increasing venture capital investments. 

Quality Assurance

Siemens needed a faster solution from the quality assurance process of 5,000 turbine blades without compromising on accuracy or safety. A manual procedure would require up to 6 hours for inspection. To counter this, Siemens Gamesa partnered with Fujitsu to develop an AI solution that would automatically detect flaws using AI and DL technologies. The cordially built solutions reduced nondestructive testing (NDT) scanning by 80%. 

Breakdown Predictions

Volvo (Sweden) works with Teradata (US) to carry out predictive, machine learning-driven analytics. Volvo’s Early Warning Systems collects data from its vehicles and applies Teradata ’s Unified summary Architecture to predict car failures and improve diagnostics and service. With over 80% of Volvo’s cars being connected, Volvo analyzes over 500,000 hazardous incidents every week. Originally, Volvo (Sweden) took 15 years of usage and diagnostics data for diagnostics and design. 

Predictive Maintenance

Rolls-Royce (UK) chose Microsoft Azure platform to build its data analytics system. Rolls-Royce will be able to analyze rich data and perform data modelling to detect operational anomalies with the help of Microsoft Cortana Intelligence Suite. Microsoft Cortana Intelligence capabilities help the company derive meaningful insights from large data. Cortana Intelligence allows the company to look at wider sets of operating data and spot correlations that can improve a flight schedule or a maintenance plan and help reduce disruption in operations. 

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14 Dashboard Design Principles Any Top Management Will Appreciate

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  Working for long in industry my skills are fairly tuned to the best in class, I always find communication of raw data to easy human understandable format especially to ever busy top management is a challenge, here are some solid ideas from my experience how to go about.

Dashboard design principles and best practices the rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards

In the digital age, there’s little need for a department of IT technicians, plus a graphic designer, to create a dazzling data dashboard. However, if you want to enjoy optimal success, gaining a firm grasp of logical judgment and strategic thinking is essential – especially regarding dashboard design principles.

Dashboard design should be the on top of your business reporting.

Here, it can get carried away by your creativity and designing colourful dashboard. Unfortunately, you must not play with it, There are dashboard design best practices you should follow to display your data in the best way, making it easy to analyse and actionable.

Business dashboard should be user-friendly and constitute a basic aid in the judgment-making process. To help journey to data-driven success,

I’ll go over these dashboard design guidelines to ensure you don’t miss out on any vital steps.

1. Consider your end goal

Like Strategic, Operational, Analytical, Tactical.

2. Don’t try to place all the information on the same page

You should never create dashboards that’s fits for all possible requirement and don’t chock up all the information into the same page.

3. Choose relevant KPIs

Your KPIs will help to shape the direction of your dashboards as these metrics will display visual representations of relevant insights based on specific areas of the business.

4. Provide context

Always try to provide maximum information, even if some of them seem obvious to you, your audience might find them perplexing. Name all the axes and add titles to all charts. Remember to provide comparison values.

5. Make it as easy as possible

That said, you should never lose sight of the purpose of designing a dashboard. You do it because you want to present data in a clear and approachable way that facilitates the decision-making process.

6. Choose your layout carefully

If your dashboard is visually reorganized, users will easily find the information they need. Improper layout forces users to think more before they grasp the point, and nobody likes to look for data in charts and numbers. I will make users smart when they are focused what to do with the data rather than thinking what or were to find data in dashboard.

7. Prioritize simplicity

Don’t waste space on useless decorations, like lot of pictures.

8. Be careful with colours – choose a few and stick to them

The modern dashboard is minimalist and clean. Flat design is really trendy.

Now, when it comes to colour, you can choose to stay true to your company identity or go for a totally different colour palette. The important thing here is to stay consistent and not use too many colours, an essential consideration when design a dashboard.

Manufacturing Production Dashboard displaying main manufacturing KPIs such as the production volume, active machines, sales revenue, returned items, etc.

9. Don’t go over the top with real-time data

Don’t overuse real-time data. Unless you’re tracking some live results, most dashboards don’t need to be updated continually.

10. Use the right type of chart

It’s important to understand what type of information you want to convey and choose a data visualization that is suited to the task. Line charts are great when it comes to displaying patterns of change across a continuum. They are compact, clear and precise. Line charts format is common and familiar to most people, so they can easily be analysed at a glance.

What kind of charts should be used in a dashboard design based on comparison, composition, relationship and distribution of data.

11. Be consistent with labelling and data formatting

In terms of functionality, the main aim of a data dashboard is gaining the ability to extract important insights at a swift glance. It’s critical to make sure that you're labelling and formatting is consistent across KPIs, tools, and metrics.

12. Use interactive elements

Drill-down is a smart interactive feature that allows the user to drill down into more comprehensive dashboard information related to a particular element, variable, or key performance indicator without overcrowding the overall design.

13. Double up your margins

You should always double the margins surrounding the main elements of your dashboard to ensure each is framed with a balanced area of white space, making the information easier to absorb.

14. Never stop evolving

Asking for feedback is essential. You’ll be able to improve the layout, functionality, look, feel, and balance of KPIs to ensure optimum value at all times.

So, if already have dashboard or thinking of improving it or creating a new one, put your newly-acquired dashboard principles into practice.

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Learn IT Security, starting from Kali Linux

I have cleared EC Ethical Hacking and looking forward to become CISM in few month, Have been in Linux/Unix environment since 1986, that's  whooping 34 years of expertise, I have started a new knowledge sharing session on IT security, 

You can learn about IT security the starting with Kali Linux. what you will get is years of experience practical IT expert security tips apart from learning the basics of IT Security. 

            Lesson 1 : Kali Linux

For doubts and other clarification please use the comment section.

I have planned for 24 lessons, Will try to add lessons very week

Use comment section for your suggestions

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Life is that way a solitary journey

Trudging along..Life is that way a solitary journey - you meet co-travellers on the way, some come with you for a small distance, some for a longer distance, some come for a much larger distance. Impact of some is very minimal (even if they travel for a much large distance), impact of some is ok, neither here nor there, but with some the impact is quite heavy( even if the togetherness is only for a small distance/time).

Life is like a train journey actually - you do not have control over your compartment, who your neighbours are, your end-station ( means your birth, family in which you are born, your death).

But you have control or choice of how you want to travel between your start and end of the journey - in between the 2 pages written out for you.

You can enjoy the scenery as the train passes through, you can go on top birth and enjoy some sleep, you can curl up and get lost in some interesting book, you can chit-chat and enjoy talks with the co-passengers, you can keep looking out for eating new, new things coming up, you can listen to some nice music, you can just wait for arguments cropping up between any travellers on any subject, enjoying the arguments or even taking sides, poking your nose where it is none of your business, you can incite people for no reason and enjoy the outcome. You can meditate and go into a state of bliss and get away from the Maya-World etc, etc.. There is no end to the possibilities and choices . You can even enjoy a balanced life of having everything in small doses ...

So life is not only destiny , there are choices also. The situation you are in as per Karma is your destiny, but how you take it -   is in your hand - that is you can react or respond positively to make the best of the situation

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