Every business whether big or small are using social media for their marketing activities. There are numerous social media platforms available to the audience and each one has its own distinct personality, usage, and features but one (most important, again most important) thing that these platforms have similar is the huge number of users.
As an extremely busy entrepreneur, you may struggle to find enough time to relax and do what you love to do. If you like to read, which you should as an entrepreneur, then this piece is for you. Listening to audio-books is a good way to learn new stuff. It is especially a good way for entrepreneurs who are almost always short of time.
Besides, today’s business world runs on digital marketing and you should ideally be an avid reader if you want to do well in this field.…
As kids, we had so many dreams floating in our minds. Some had the vision of traveling the world, others wanted to paint a canvas out of it, while others just sat in the lap of nature with a book in one hand.
But did you just go to camping, got a canvas or a reading novel without convincing your parents? Certainly not!…
There was a time when computer was a dominant platform for people who wanted to play video games. But thanks to the remarkable growth and innovation in smartphones, those days have now been long gone. Today, the top-end smartphones have the processing power and storage capacity that was available in desktop computers just a few years ago.…
According to the latest reports, from now on Huawei smartphones will not be able to install any Android updates, updates to Google Play apps, or use apps like Gmail, Chrome, etc. However, the fact is that, if you want then you can simply access those Android updates through the open source channel that exists but without the technical support or advice from the tech giant Google. This decision may unleash a trade war between China and the United States which was already initiated, with unforeseeable consequences, which may affect all technological markets and the world economy. And do not forget that Huawei is the world’s second-largest seller of smartphones as we told earlier.
BAD NEWS! Google Blocks Huawei To Use Android
According to the well-known media portal, Reuters, just after the refusal of Donald Trump and the United States to the well-known Chinese smartphone manufacturer, of course, Huawei, the tech giant Google announced the breakdown of commercial relations with the well-known Chinese brand, Huawei. As the world’s second largest smartphone manufacturer, Huawei will not be able to install Android updates, or any Google apps, including Google Play Store and Gmail.
What does it mean?
It’s a complex issue and no one, including Google and Huawei, knows how the exact details will play out yet. Many security experts were concerned in the wake of the announcement that current Huawei users wouldn’t receive security updates. But Google was quick to reassure people that current Huawei phones will continue to have access to services including Google Play and security from Google Play Protect.
In simple words, from now on Huawei smartphones will not be able to install any Android updates, updates to Google Play apps, or use apps like Gmail, Chrome, etc. However, the fact is that, if you want then you can simply access those Android updates through the open source channel that exists but without the technical support or advice from the tech giant Google.
Hence, for this reason, a senior manager of the Chinese smartphone brand, Huawei was arrested a few months ago. Since then, both China and the United States have imposed tariffs on their respective products. As recently, the Trump Administration added the Chinese brand Huawei to the blacklist of the Department of Commerce, hence, forcing American companies to stop having commercial relations with Huawei.
However, according to the well-known media portal, Reuters, the tech giant Google would have been the first to comply with the recently approved law, but other US companies that have commercial relations with Huawei, like Qualcomm, Intel, NVIDIA, will have to make a similar decision.
The details are still confusing, as there is still no official communication from both companies, but according to Reuters, the Chinese brand Huawei’s lawyers are already working on the issue.
We all have a special admiration for the YouTube recommendation engine. It is one of the smartest innovation by Google. 70 percent of the YouTube watch time is driven by YouTube recommendations.
Google has also launched papers to inform how the YouTube recommendation engine works. Yet, rather than understanding it properly, we emphasize on getting higher rankings on YouTube search results without knowing the first thing about it. We are writing this article to share the six amazing YouTube SEO tips we have extracted from the Google Publications. Here they are
Metadata holds a special significance in the SEO world. Keyword optimization in the metadata has remained an important factor of a great SEO strategy. Now when YouTube has gotten so smart that it can drive closed captions from your videos and can extract information from the content by themselves, you just cannot ignore the significance of Metadata.
YouTube publication on Recommendations told that Metadata is still an integral part of the recommendation cycle. In order to make your video available for the recommendation, you need to provide the very relevant and ample information to every video. It must contain the following things:
Inculcate the targeted keywords into Meta title in such a way that it makes the audience curious or excited. Attention grabbing titles are more important on YouTube than any other platform because the platform highly relies on the recommendations rather than that of the search results.
A keyword embedded description which clearly explains the intent of the video is important to gain traction. The more useful and precise information you provide via descriptions the easier it will be for the algorithms to identify the relevance. Relevant and optimized meta description improves the chances to appear in the recommendations.
Keyword tags are still important to YouTube videos. They are completely functional unlike the Meta tags on the search engine. Utilize the primary and related keywords to better demonstrate your video’s intent. Like if you’re discussing Cox internet packages in your video you’ll use tags like Cox internet, Cox internet bundles, etc.
Including your video into the playlists related to your content is also a smart way to engage the targeted audience. Or you can recommend your own playlist at the end of your videos. If your playlist does well, you can retain the viewer fora long time.
Utilizing your keyword into the filename doesn’t have that big of an impact as it used to have but still, the practice doesn’t hurt anything.
Though YouTube’s closed captions are quite accurate you can’t solely rely on them. You need to provide a full transcript into your metadata for better results.
A thumbnail should be eye-catching. It shouldn’t contain text but an attractive image or glimpse of the video to persuade the potential audience.
There are several ranking factors which also contribute towards the ranking of videos rather than that of the relatedness and co-visitations. Let’s discuss them:
- Video Quality:
The video quality signals include the following factors:
- User ratings
- Number of shares
- Watch time
- No. of views
- Upload time
- Content diversity
- Content relatability- the search engine boost the videos which are related to the user search history on the platform
Understanding the mechanism of Co-visitation:
This is where we will get into the real meat of the YouTube recommendation engine. The recommendation engine is a fundamental building block for YouTube. It is a smart mechanism of mapping out a set of related videos. The similar videos are mostly the videos which a particular user enjoy watching, rather than the content which is necessarily similar. This mapping is also known as co-visitation.
You can accomplish co-visitations by doing the following things:
- Publish your videos on to the platforms which send traffic to other popular videos.
- Create responsive videos after a short time period of the initial video
- Target keywords
- Create YouTube specific videos
Co-visitation plays a great role in the success of a video. For example, if two videos have a high co-visitation rate, and one of them is not so popular, the relatedness score for the candidate video will still be high and it will good ranking on the YouTube. It clearly tells that your video can pick up traffic from recommendations. You’ll require people to watch a particular type of video to watch your video within that short period of time.
It goes without saying that we don’t have any direct control over the user data. We certainly can’t optimize without understanding the role of user data. The data is divided into two categories: Explicit and Implicit.
- Explicit: Explicit data includes video likes, subscriptions, etc.
- Implicit: Whereas implicit data includes watching time and views etc.
In order to optimize the user data, it is important to encourage the likes and subscribers but on the other hand, it is also necessary to create valuable content which helps to boost the implicit data.
The data within the video is becoming more and more important with every passing day. YouTube explicitly take the raw video stream as a source of information. It analyzes the audio of the video and generates automated transcripts which call for the inculcation of your focused keyword into the audio. You can reference the name of any YouTube channel to whom you’re trying to respond or compete with. This will increase the chances of appearing up in the recommendations.
YouTube Recommendation engine just don’t suggest the videos due to the relatedness but also according to the search pattern and history of the viewer It utilizes in-user personalization mechanism to recommend videos.
YouTube recommendation engine is user intent central. Understanding the Working of YouTube recommendation engine can drastically improve the chances of success for your YouTube SEO strategy.
SEO stands for Search engine optimization is an important tool that creates prominence of a brand. SEO make strategies online for making the websites in the first place of the google search engine. Through this, the brand gets more recognition around the world. Companies implement this on their business website for making a distinctive image. Hence, all the designers that are the backbone of this domain are the primary readers of this content. This article created for the designers to understand the rules that must apply while making an effective strategy. Subsequent are the ten main rules that will instantly enhance the website SEO.
Rule 1: Never try underhand
Google is the biggest name in the world. It is impossible for you to fool the genius living in this organization and serving to maintain the high quality of this search engine. Hence, to make an outstanding SEO strategy, you should be smart and not follow any false advice. You just have to focus on the content of your website and it will enhance your appearance in the searches.
Rule 2: Focus on keywords
SEO entirely based on keywords. What you have to do is just picking up the right keywords that clearly defines your business with the words that are mostly chosen to search on Google. Therefore, while making the content of a website, it is necessary to add all the relevant keywords in all the pages according to the inverted pyramid method so that your website can easily get to the first place in searching. Many businesses are keen on finding the best SEO management company, which can easily create the best strategy for keywords. However, you as a designer can easily do it yourself by considering all the rules.
Rule 3: Use human readable code
It is important for a designer to build the website in a text editor. The HTML code should base on concepts. It should perfectly create in a proper manner that includes some specific stages of the content needs to cover. Always use UL for list and P for paragraphs and much more shortcuts.
Rule 4: Home page is significant
Make sure you critically analyze the content of the main page. It should contain all the main worlds that are relatable to all the other pages so that it can easily connect with all the other content on the website. This page is also important because it is the first impression that attracts people easily.
Rule 5: Links are always meaningful
Google search engine keenly focus on the links used on your website and the names used in those links. It is advised not to use see more like a link. Always use the topic name to which the link will direct the customer.
Rule 6: Add tags in the title
Every page of your website should contain a tag with a brief description that contains the keyword. The description should not be much longer. It can be for about 30 words in total. Remember that the titles are those that appear in the search engine. If it is well written than there is a chance to gather the audience towards the website.
Rule 7: Alt tags are important
In order to make your website creative, pictures are added hugely. However, if the pictures do not tell you anything then there is a huge drawback and you can consider making a false decision of adding many pictures. Hence, it is necessary to all Alt tags to all your website images so that people can easily get directed to some important information through the pictures.
Rule 8: Eliminate the use of Meta tags
Meta tags are known for the enhancement of SEO strategy a long time ago. However, it considers obsolete now. The only Meta tag that is used by the designs is the tag in description. Google search engine uses this ta to describe anything while giving a brief description of the tagged word under a box that appears when the mouse places on it.
Rule 9: Website should have a complete site map
It is necessary for every designer to create a proper map of its website. The design should be in an XML file and one of its copy should be sent to the google for making a clear understanding of your design.
Rule 10: Website design should be according to human requirements
Search engine creates to satisfy the audience by having the right results on finding something. Hence, it is important for a designer to consider that they are creating a website for humans. It should cover all the requirements of a human with the best design that attracts all the potential customers towards it. You should take this into account that you are here is a problem solver, not an artist that is adding colors to the site. You are responsible to create a strong image of the website so that people can easily find it.
All the designers that are making their way to SEO should consider all the above mention rules and regulations. This will boost their appearance in the searching result and a business can easily get its place in the first five searching results on google search engine.
These Agri tech Startups Worth Millions. Featuring FarmCrowdy, Most Unique Agri tech!
“The welfare of the farmers is vital to that of the whole country.”
You should raise a question, why urban cities and cultivated people only get a higher living style and more ways to earn money from the innovation? Why rural areas and some non-scholarly people don’t worth to enjoy the sweet fruits of innovation?
Have you hit hard? By just reading these two lines? If yes, then let me tell you something. That time has now become past where farmers were called with no respect. The demand for food is rising like never before thanks to expansion in the world’s population. Government and few entrepreneurs have understood that agriculture is the industry where the most number of innovation is needed to feed these much of people. Thus, in recent years, we have seen so many successful agriculture startups which make farming smart! According to techcrunch, in 2017, more than $1.5 billion was invested in Agri tech startups by more than 300 distinct investors. Brazil, USA, Israel, and India are the most favored countries for the Agri tech startups. In 2018, Israel reported 460 Agri tech startups and Brazil has seen 338 Agri tech startups. Yes, these numbers are far behind than the number of startups in the industry like finance and transportation. But we don’t have to miscalculate the challenges of Agri tech startups. Let’s highlight some of the most crucial challenges you have to overcome for your next Agri tech startup!
Challenges in Agri tech Startups?
First and most important challenge Agri tech startups have to consider is the target audience. Unlike other industry, people using Agri tech is non-techy. They like the way they have been doing farming. So, to convince them to use the digital services of the Agri tech is not really easy for any startup.
Another challenge Agri tech startup is facing is the challenge related to Geography bounty. For an E-scooter rental startup, it is easy to attract more groups of the users as they are sharing the same kind of geological bounties which is an urban city. But for an Agri tech startup, it is a real challenge to reach geologically distributed farmers.
But why still successful?
But thanks to government policies and feeding need of our world, Agri tech startups are still the most successful startups. According to a Deutsch report of 2017, the success rate of the Agri tech startups has increased from 47% to 66% between 2005 and 2011.
Let’s quickly see one of the most unique and trending Agri tech startup.
- An insight into the company
FarmCrowdy is Nigerian startup, HQ in Lagos. The core purpose of this Agri tech startup is to empower poor farmers by connecting them with the farm sponsors who sponsor a farm, from where farmers get earning. Sponsors get a return at the end of every farming cycle. FarmCrowdy has started by CEO Onyeka Akumah and his team of the other three people. They have also launched a mobile app in November 2016. FarmCrowdy’ website claims that currently, there are 16,000+ acres of land is available for sponsorship and till now, more than 35000 farms have been sponsored. From these numbers, more than 10000 farmers get a chance of better-earning opportunity. In the company’s introduction video, the CEO says that their plan for the next five year is to empower as much as 50000 farmers.
- How this all started?
During his early age, CEO Onyeka Akumah was running a poultry farm. He noticed that a lot of Nigerian people want to involve in farming, but they don’t have the skill to do farming in such a way that they can earn well. Additionally, he also noticed that a lot of people of Nigeria acquire land, but due to the economic barrier, they are not able to do farming on it. Thus, Onyeka Akumah decided to solve this problem by making a platform which connects the rich people who are interested in the farming, but don’t want to do farming and poor people who are not rich, but want to do farming!
- How does it work?
Let’s understand it by dividing it between the number of users and the role of them. So, basically, there are main three key stakeholders in the business process of the FarmCrowdy. One is FarmCrowdy itself, another is sponsors and the third one is farmers.
FarmCrowdy identifies the location and reaches to the Farmer association or Community leaders. As soon as they close the deal of land, they give the input of seed varieties and training to the farmers with tools. Now, a sponsor is someone who checks all farms details and takes the sponsorship of the farm. Once a farm is sponsored, farmers start doing farming, in return, FarmCrowdy pays them. Sponsors can track all farming activities and can also request to visit the farm. At the end of every farming cycle, FarmCrowdy pays to the sponsors.
Wait, We are not done yet. There are many more interesting Agri tech startups which are changing the agricultural industry.
- Insight into the company
Ninjacart is India based startup which aims to simplified the supply change process. Developing countries like India where farmers have already been facing financial problems, long supply chain process which has so many third parties are involved, is making it more difficult for farmers to earn a good profit of their hard work.
- How does it beneficial?
Thus, Ninjacart comes with a platform where farmers can connect with the retailer directly. By eliminating third parties from the supply chain, the farmers earn good money on their vegetables and fruits. According to the Ninjacart website, farmers can generate more than 20% of revenue by using this platform. Additionally, retailers are also getting the product at low prices and thanks to Ninjacart’s delivery option, retailers don’t have to worry about the transportation of the product from the farm to stores.
- Facts and Achievement
Ninjacart gets every day 300 tonnes of vegetables and fruits and it takes only 12 hours to transfer it from farm to stores. Apart from this, Ninjacart is awarded most innovative startup of Indie by Inc42 media in Nov 2018.
Suppose you are an owner of too many farms. All of your farms are being utilized for farming by workers who are hired by you. Now, assume the situation where you have to manage the working hours of the worker, production report, pesticide reporting, financial activities and field notes of all your farms manually. Isn’t it very hard? Your answer would be yes. But by using AM3 software of the Agcode, it all seems like a piece of cake as the software is combined with business intelligence. They have launched an app too.
By using services of the Agcode, it is easy to perform tasks like field inspection, Payroll, Harvest and scale, mapping, grower management, budget, pick code, contractor tracking, pest control, billing, equipment tracking.
- Farm Again
Farm again is the another India based agri tech startup started by Ben and Raj. The prior goal of their startup was to convert as many as land into organic land. Till now, they have converted over 2,500 acres of land into organic land which eventually helps farmers to earn more profit.
Farm again is the 30 members company with a revenue of $1 million. Till now, over 1000 farmers have signed up and the company is aiming to reach this number to 13000 by next year.
Recently Farm again has launched IOT devices such as CropSense, WaterSense, NutriSense, and ClimateSense with a mobile app. These are the devices farmers have to install at the farms. Whatever the data these devices collect can be seen by farmer on the mobile app of the Farm again. This is the revolutionary steps in the Agri tech which force us to think what would be the future of the agricultural!
- Gold Farm
Many times due to lack of proper machinery and hard physical work, farmers become unable to generate more revenue. Thus they need the latest machinery for farming. But again, buying is not the only choice of farmers as they are not that much of economical fit. Gold Farm understands this compulsion of the farmers so well that they have created a platform where farmers can rent the farming equipment like solar water pump and tractors at a very affordable price.
Few cyberpunks and innovative people of our world should have to give some sort of digital platform to the farmers to make sure they can work at the maximum capacity. Because by seeing the current need of the food and expansion of the popularity, it is safe to predict that by the year 2050, feeding demand of our world will increase by 59% to 98% (source: HBR). To satisfy these much of magnification, it is the alarm call for governments and entrepreneurs to motivate more and more farmers to use some of the industry defined technologies which have been applied precisely on traditional agriculture-related techniques to make it more efficient and productive.
About the author:
Vishal Virani is a Founder and CEO of Coruscate Solutions, a leading mobile app development company. He enjoys writing about the vital role of mobile apps for different industries, custom web development, and the latest technology trends.
With predictive analytics in 2019, you can go learning what happened and to discovering insights in the foreseeable future. Find out how predictive analytics contours the world we dwell in. Companies carry on to view analytics favorably, but the technology remains very costly, overly disruptive and overly complicated to add into usage.
Few businesses which are using predictive analytics to decrease risk and maximize operations:
- Banking & Financial Services
- Oil, Gas & Utilities
- Authorities and also people Sector
- medical care
The key to starting with predictive analytics in 2019 would always be to recognize a persistent small business problem, well known, also features an evident return on investment (ROI) using a time horizon in your mind. Business issues using ROI can ensure it is effortless to find the provider, potentially control and aligned.
Predictive Analytics Software:
Predictive analytics and data mining solutions are in available the market for the enterprise from lots of companies, including SAS (Predictive Analytics Suite), IBM (IBM SPSS Statistics), and Microsoft (Microsoft Dynamics CRM Analytics Foundation) and others.
Vendors may offer options based on the specific requirements and type of technology business may need. Predictive analytics software is deployed on-premises for enterprise users in the cloud to get small companies to execute through a project manager or team-based initiatives.
Advantages of Predictive Analytics in 2019:
• Optimizing Marketing Campaigns – Predictive analytics are utilized to ascertain purchases or customer feedback, besides, to promote changes.
• Improving Operations – Businesses employ models to predict inventory and manage tools. Airlines companies use analytics to manage effective ticket rates.
• Diminishing Risk – Credit ratings are being used to assess the odds of default option of a buyer and also is a favorite illustration of predictive analytics.
How Does One Turn Data Into Forecasts?
Businesses require a passionate group of data scientists to parse through those collections, or an applications package compelling enough to complete this rapidly. For organizations, this translates to forgoing it or settling for sub-par computer software.
Image Source: Allocable
When the small company problem is identified, it’s vital to align with stakeholders and supply them the ability to provide guidance/feedback. This will make your analytics endeavor lucrative. Possessing the council members may help internal politics while the info might be arriving from various departments. Source the data needed can be supported by multiple sources.
2019s Predictive Analytics Application:
- Project Risk Management
When applying risk management methods, the answers would be to call and benefit in the future scenario.
- Client retention
Together with the variety of competing services readily available, organizations will need to focus efforts on maintaining consistent customer care, rewarding consumer dedication and decreasing client attrition.
- Immediate advertising
When advertisements consumer services and products, there’s the process of maintaining with rival products and consumer behavior.
Frequently corporate associations collect and maintain adequate data (e.g., customer records, purchase trades) as tapping hidden connections from the data can offer a competitive benefit.
- Analytical customer relationship management (CRM)
Techniques of investigation have been employed to pursue CRM objectives, which involve building a holistic perspective of their consumer irrespective of where their advice resides in the section or the business.
Fraud can be a massive issue for several organizations and will be of varied kinds: erroneous charge software, deceptive trades (both offline and on the web), identity thefts and false insurance claims. An organization’s vulnerability to fraud.
- Collection Analytics
Lots of portfolios possess a pair of diehard clients who usually do not make their payments in time. The standard bank has to tackle set activities to recoup the sums due.
Building a Business on Predictive Analytics in 2019
Regardless data is not likely to keep back this industry’s expansion –both that the IoT along with also different data collectors supplements conventional web and program analytics.
User-friendly SaaS platforms continue to be an emerging opportunity. For organizations, creating predictions and models in the data takes a separate employee to browse computer software solutions or even perhaps the outsourcing of this work.
Several Kinds of Predictive Models in Use:
A predictive model refers to the dependencies between explanatory factors and the aim. It enables us to predict the prospective value based on factors.
There are various kinds of models. The very widely used ones include:
- Naïve Bayes Classifier
- Decision Trees
- Logistic Regression
- Artificial Neural Networks
- K-Means Clustering
Machine learning and Artificial Intelligence sees a bright future:” At 2019, AI will continue to create our work lives much more comfortable, and also let us complete more. Workers will opt to have certain actions or assign projects to the system primarily based on our taste.”
“It’s going to be instructive to learn just how much progress we make on those forecasts following year”
Nevertheless, the concentrate on AI, government, and funding will shape much of what goes on. The glut of vendors and currency markets turbulence could have an impact in the future. I expect a return on those investments, while the community work around the efficiency and also build lucrative business initiatives in 2019.
What caused block-chain technology to evolve?
We are living in a time where all type of companies, either a giant tech company or a small business startup, are highly relying on big data. Big data is nothing but the collection of a large number of data which can not be analyzed with the traditional data-processing application. By diving into the big data, companies can understand the customer’s behavior, and based on it, companies can make a more profitable business model to generate more revenue. In fact, almost 61% of companies have stated that they need big data to streamline the business. Thus, it is pivotal for any company to look after their big data. But here what all companies are concerned most is how they make sure that this much of data remain secure and untouched by unauthorized people. In a more broader way, big data had following threads which needed to be compromised.…