How Drones Can Improve Deliveries - Alexa Marino

[image: https://pixabay.com/en/drone-rc-blade-180-qx-hd-674238/]

How Drones Can Improve Deliveries

Drones are becoming very popular very quickly. In the United States alone, the drone market grew from
$40 million in 2012 to greater than a billion dollars in 2017. This trend will likely continue as the devices
become more affordable.

Consumers are eager to adopt this technology. Thus, businesses should start considering how drones can
be used to offer superior customer experiences. If you’ve worked with an iPhone app development agency
or an Android agency to develop an on-demand app, you may benefit similarly from investing in drone
delivery services.

Improving delivery services is one potential application worth investigating. Major businesses such as
Walmart and Amazon have already begun to research how they may use drones in this capacity.
Smaller brands such as Pieology Pizzeria are also beginning to use drones to deliver food to customers.
Others may do the same sooner rather than later.

Pros of Drone Delivery

• Reducing delivery times and fuel costs.
• Making a good impression on customers with efficient, innovative service.
• Small drones that use less energy will help businesses reduce their impact on the environment.
• This helps businesses cultivate socially-conscious brands, which is important to young consumers.

Cons of Drone Delivery

• The technical feasibility of drone delivery may prevent smaller businesses from experimenting with
• the technology immediately.
• Companies must ensure employees who operate drones thoroughly understand and adhere to all
• applicable regulations.
• Business owners who don’t fully understand the technical capabilities of various drone models may
• overload them with heavy packages that reduce delivery efficiency and boost maintenance costs.
• Delivery drivers may struggle to compete with drones.

How Drones Will Impact Delivery Methods

It’s obvious that drones will change the way businesses deliver goods in general. The following are some
of the more noteworthy shifts worth paying attention to:

• Increased Focus on Security: The software drones rely on to operate must be secure. Developers
• and business owners will prioritize this.
• In-Store Experiences Emphasized: The novelty of drone delivery may have an impact on the
• popularity of brick-and-mortar stores. They’ll have to develop unique customer experiences to
• attract guests and compete.
• Focus on Order Fulfillment: Drone delivery is so appealing because it’s efficient.
• Thus, businesses will place increased pressure on order fulfillment warehouses to work fast and
• keep up with customer demand.
• Employees Prioritize Specialization: Increased automation resulting from the popularity of drone
• delivery will result in employees focusing more on developing specialized skills.

Don’t make the mistake of dismissing drones as a passing fad. It’s clear consumers are interested in the
potential of this technology. Businesses that deliver goods to customers should start investigating how
they can apply it now. Doing so is key to standing out among the competition.

Next Decade @Technology Wonder! - Kapil Sharma

As we are reaching the year 2020 in the next one and a half year. What's the most anticipated technologies, we as humans are going to view, consume and explore in the upcoming decade.

Here are some pointers which may be the next game changer in the next decade.

1. New layer of the financial system or financial stack.
2. Mass rapid transport system.
3. Customized health care medicine system.
4. AR/VR/MX virtual reality systems.
5. Machine or Humanoid assistants.
6. Space explorations to the nearby planets.
7. 5G/6G/7G+ Internet Communication System/ Protocols.

A. New layer of the financial system or financial stack: Digital currency with block-chain lager system in place to track immutable financial transactions/ records. Highly secure and lighting fast system on 5/6/7G+ internet communication systems. With zero error probability. Clean transactions within building tax systems. So, that no tax clues remain on the fly the taxes are compute with the use of cloud computed capacity and on time delivery of records. It's a big game changer for a nation or global audience, to consume this new financial stack or layer and drive huge profits without delays.

B. Mass rapid transport system: This is most sorted requirement of the human growing population throughout the world. Friction-less rail system (Levitation Rail System) or Hyperloop system. (@Elon Musk) Both the system works on the magnetic propulsion mechanism. First one work without vacuum and the last one required vacuum to run most faster than the first one, but the carrying capacity is less than the first one. Both systems require electric energy, so bye-bye diesel or coal. These system have the capacity to change the transport world as the travel time become less that mean more time do new/ other things.

C. Customized health care medicine system: Here comes the new breed of highly customized medical treatment for individuals. As per body and blood type, target based treatment is the new key. Rather than make a generic medicine for all, now custom molecular level disease targets medicine to cure diseases at faster and safer rate.

D. AR/VR/MX virtual reality systems: In multimedia domain, the wearable technology, may go to replace the TV, Theaters, Tablets, Gaming Consoles or maybe your most prized possession the "smart phone". I think these wearable's in the upcoming next decade may cost less than 250$ per piece and this leads to their sales in volumes and consumption rate from 40-60% per annual may increase. This is going to change the reading, viewing and consumption of the entertainment artifacts. Consumers may be these wearable's in learning and experience new things without moving from their current location to new ones. They can join live events a real time.

E. Machine or Humanoid assistants: As many developed countries the average human population age graph is in downwards. And this the place where the machine evolves and start working as a human assistant, or may replace human work force. This may lead to the presence of the humanoid/ robots in the security or hazardous environment landscape areas. Prefixed with experience data-set and integrated with real time data-set, machine in real time compute and consume information data-set and leads to the real time action based on machine actions protocols/ laws. They (robots) may become old age person help assistants or play many roles as per human needs and urgent requirements.

F. Space explorations to the nearby planets: Humans in the next decade may start exploring the nearby planets and stars for human habitations and for energy demands. Helium or other form of energy forms may lead to this sector growth in near future. Space X, Blue Origin, ISRO, NASA and Virgin Galactic are many leading space exploration companies leading this space race. Space tourism is the next big thing in the upcoming decade.

G. 5G/6G/7G+ Internet Communication System/ Protocols: As the next upcoming decade is coming up, so as the era of faster and secure communication also arises. More robust and faster with less cost and delay is the next most awaited communication technology sorted by the consumers throughout the globe. GB's plus data bits/byes transfer rate make or break company/ country success plan in most of active sectors. Easy to use, easy to build with less cost and inoperable entities are key success factors for new the information exchange domain.

These are some major technologies which may fuel the global business, research engine and social engine in the upcoming decade.

Till then keep learning, sharing and be open to embrace the new sizzling global change. :)

My LinkedIn Profile: https://www.linkedin.com/in/kapil99/

Artificial Intelligence (A.I) > (Machine Learning) M.L > Deep Learning, Digital Platforms - By Kapil Sharma

New sectors rise from Artificial Intelligence (A.I) > Machine Learning (M.L) > Deep Learning, digital platforms:

Artificial Intelligence (A.I) is the top most cover of machine understanding and computations.

It's like a Russian doll "babushka", or like human body. It interact with situations/ conditions and interactions as per the data-set the machine consume.

Artificial Intelligence (A.I) Advantages:

• Service Level Help Desk.
• Customer Level Interactions.
• Analysis and suggestions.
• Predication based on data sets.
• Military uses, like drone ;)
• Cyber Security or Hacking.

The Machine Learning leads to understanding of data sets provided by the users.

A supervised data set and its learning than unsupervised data set for machine level compute outcome. Here a big data set refine the machine learning outcome.

Machine Learning Advantages:

More accurate health care results.
Stock Market Analysis.
Defense Strategies.
Financial Transactions

Now as per the "Deep Learning" platform prospective.

In deep learning the NLP (Natural Language Processing) designer/programmer, create routes/ algorithms, so that patterns and forms can be formed for compute purpose.

For e.g. Google AI may connect with YouTube huge data set, billions of videos, using python OpenCV framework, start recognizing objects in the video clips. So a big data set of forms/ objects created in the DB for understanding and recognizing the artifacts/ objects.

So, this data compute can tell/ update viewers the details of person, objects present in the video clip.

Deep Learning Advantages:

Pattern/ Object recognition.
Help in Autonomous Driving.
Security
Law and order management.
Health care.

More A.I/M.L info. going to be added soon on LinkedIn: https://www.linkedin.com/in/kapil99/

PyTorch - Kapil Sharma

PyTorch Framework: 

PyTorch is a opensource deep learning framework.

GitHub Fork: https://github.com/pytorch/pytorch

Pre-requiste for PyTorch Framework:
Anaconda Python IDE: https://anaconda.org/anaconda/python

Conda command: conda install pytorch torchvision -c pytorch
Or user can use pip based commands too. 

PyTorch can be install on Linux, Windows and Mac Platforms.

For Python Pip user, here is the PyTorch command: 
pip3 install torch torchvision

What is PyTorch package?
It’s a Python based scientific computing package targeted at two sets of audiences:

1. A replacement for NumPy to use the power of GPUs
2. A deep learning research platform that provides maximum flexibility and speed

Original Source: https://pytorch.org/tutorials/beginner/blitz/tensor_tutorial.html#getting-started

LinkedIn Group: https://www.linkedin.com/groups/10386942

Block Chain Technology - Kapil Sharma

https://en.wikipedia.org/wiki/Blockchain

AR is Poised to Transform the World of Technology - Jenn Ryan

AR is Poised to Transform the World of Technology

Virtual and augmented reality technologies are set to change how, where, and why we use digital devices.

Over the past year, tech writers and enthusiasts have been arguing about which technology will come out on top: Virtual reality (VR) or augmented reality (AR)? Both of these technologies change the way users see the world, but in very different ways.

While VR has enabled the creation of a number of new immersive games and 360 degree video, widespread appeal has yet to reach the masses. VR hardware sales have been low and companies are struggling to show consumers other real-use scenarios that will make VR headsets a must-have device.

Augmented reality agencies, on the other hand are discovering that there is mass audience appeal and varied applications for this technology. Industries ranging from e-commerce to automotive have experienced the benefits AR can bring to their businesses in various forms. AR technology’s ability to overlay digital features onto an existing environment make it a more appealing and accessible alternative to the entirely fabricated world of VR.

AR Surges Ahead

Augmented reality technology has been around for years. However, it was with the release of Pokémon Go – along with the massive uptake of players – that has opened the world’s eyes the myriad applications for this vein of technology.

Without the need for special headsets or other hardware, the fact that AR is accessible with a smartphone or tablet shows it’s clearly not restricted to the realms of gaming. There are enormous possibilities for its use in medicine, the military, sales and marketing, prototyping, teaching, and more.

Coupled with the ARKit platform intended for the recent release of Apple’s new iPhone X, it becomes clear how easily AR is being disseminated to mainstream consumers. The breathtaking demos at Apple’s WWDC 2017 show a handful of applications for the powerful software and make it very easy to imagine how they will aid the spread of AR into everyday life. It will not be long until we see an ‘AR war’ arise between other tech giants such as Google, Microsoft, and Facebook.

The Future of AR

While AR is still largely restricted to smartphones it is only a matter of time before new hardware is developed with augmented reality in mind. Google began the journey with their Google Glass.

Microsoft have since walked a little further down a similar path with their HoloLens AR headset. However, their hardware remains bulky and developers have noted issues with heat generated by the battery pack held close to the cranium.

Magic Leap, however, is a startup developing an AR headset that is getting everyone excited and eager to see the latest and greatest developments in augmented reality technology so far. The flurry of activity around AR hardware and software development puts further credence to the opinion that AR is the future. Meanwhile, it underscores the belief that VR has limited usability or attraction for the non-gaming consumer.

As they await the release of functional and accessible hardware, consumers will likely become accustomed to AR technology through their smartphones and iPhones. As this technology pervades society, purchasing homewares we’ve been able to view in situ, considering how home renovations work in our home before even calling the architect, or trying on clothes from online retailers with the simple use of their smartphone AR apps will become the norm. This will pave the way for new AR hardware and wearable tech to become the next must-have items as they continue to change the tech world as we know it.

Big Data Analytics (001) - Kapil Sharma

Big Data deals with huge volume of data. The core purpose of BD is streamline the quantity and quality. So that useful data analytics can be drive from clusters of data sets.

The purpose use for that is known as "ETL" (Extract >> Transform >> Load)

Where data change its shape and usability.

In opensource arena Apache PIG is used for ETL process, this Apache PIG software is not having pretty GUI to easy ETL the process.

After PIG ETL process the Apache HIVE comes in the picture for data analytics.

Apache HIVE used for data warehousing and query the big data sets drive from ETL through Apache PIG system.

I will show you all how to setup Apache PIG and HIVE on your machine in the next write-up. Till than happy coding :)