Colorize Entire Video Collection and Family Video Night Will Never Be the Same

Did you know that you can take your old black and white videos and colorize them for only $25? No, you didn’t. This job usually costs more than $10,000. But you can go to and can find out how this team can colorize your video with professional quality and postproduction options and do it in less than 12 hours. They use the best video products, tools, and a data center to speed up processing. Colorization is very complex and requires advanced knowledge, but it will change the memories you have of the day your video was taken.

Artificial intelligence uses artificial intelligence combined with various manual processing software. Each image is first analyzed by hand. Colorized is a process that is computer-assisted and adds color to a monochrome movie or image. The process usually involves segmenting images into different regions and then tracking these regions across the image sequences.

Also, for photos

It is also possible to ask for different paid tests to adjust your project. works with very old movies or very recent movies. Giving a second life to a client archive is very easy for them. They support all formats. Colorizing photos is quite easy today and there are hundreds of sites that do it. But there is nothing about videos because it is tons of complex work. is net in new in this market and makes it accessible to anyone.

Family film night

This can give your entire video library a big left as well as some of your favorite black and white. Your family with get together for film night and love you for what you have done for these home videos. It is worth the money you will spend, and it will not be as much as you would have spent at any other site that does this work.


5 Ways New Tech Is Changing The Retail Industry

In today’s world, we all yearn for convenience, and that’s probably the reason more and more people choose shopping online than going to physical stores. The exciting nature of the online commerce market is definitely influencing entrepreneurs to take part in this.

However, for a business to thrive and be a step ahead of its competitors, it should stay focused on providing a unique experience of everyone.

Indeed, technology has impacted how customers and retailers interact with each other. It enables marketers to create their online brand image, as well as equity. To give you a better idea, here’s how new tech is changing the retail industry.

1. Behavioral Analytics

As mobile users become well included with online shopping, customer behavioral analytics, and web analytics are becoming the talk of the town. The majority of customers expect that online stores would offer them a wide range of options according to their liking and purchasing behavior.

Online business analytics provides rich data that talks about the trends of customers. This can be very useful for retailers as it would allow them to continually improve supply chain, marketing, merchandising, advertising, and many more.

Aside from that, behavioral analytics also work great in monitoring the shopper’s activity and buying history, as well as their actions with other customers.

This gives them the right amount of information that online marketers can use. For retailers, this data allows them to evaluate and suggest useful products and services to their target audience.

2. Better Pricing Strategies

Ask any expert, and they would tell you that the online market is highly sensitive to its price and competitive. What does it entail? If they want to stay on top, they must come up with a pricing strategy where they will significantly benefit.

The dynamic pricing strategy has been proven to be a very practical solution that’s utilized by e-retailers to price the products and services accordingly. These can be changed based on supply and demand. In simpler terms, it’s more of a negotiable evaluation strategy that allows retailers to change the pricing of their commodities according to various factors– both internal and external.

Furthermore, when a retailer spots a fast-moving product, then he will have the chance to increase its price if he wants to avoid the whole decrease of stocks. Likewise, when a firm’s sales targets are a little high, then he would have the option to promote sales by offering discounts on how products.

Dynamic pricing can also be advantageous as it would allow firms to check how their competitors are pricing the items. This would let them make sound decisions later.

For example, in case that the competitor’s stocks are low, then the firm could either increase the price to earn more profits. What’s worth noting is that real-time price changes could have a significant impact on e-commerce.

3. Smartphone Shopping Is Being Promoted

According to market research, it has been revealed that more than 86 million Americans use their smartphones for online shopping. This study showed that four out of five smartphone users conduct research on products and services before making a purchase to ensure that they would only get the best deal.

For that, smartphones have turned into a default screen when we talk about brand engagement as well as e-commerce transactions. That’s why it’s very crucial for marketers to maintain a good online reputation and offer fair pricing strategies for everything.

Also, to promote better business growth, marketers should work hard and make the experience more enjoyable and fun. This is where JD Edwards could help. They offer various software made explicitly for this purpose.

4. Artificial Intelligence

A study made by Gartner revealed that in the year 2020, more than 85{b96076133fe2223c8d05470fe9428b3312879515b4c32f98bade61cbd4879fe1} of customer interactions would be through AI. Due to its experience in providing a customized experience, retailers are starting to utilize AI to be above the competition. This is where chatbots become very handy as they are capable of stimulating conversations with online customers.

Likewise, AI is also being utilized to handle and manage customer data, and this allows the business owners to have a better idea of customer’s buying behavior. Through this, they could avoid fraudulent transactions and know how customers will react. This allows online retailers to automate their business further.

5. High Supply Chain Efficiency

Since the present-day customer has a “buy-now” mindset, they expect that everything would be faultless. With the supply chain, this can be achieved, because it entails cross-functional direct delivery to stores, and so on.


A Guide to SEO Techniques for B2B Companies

B2B businesses are those that deal with other businesses, such as a wholesaler connecting to retailers, or an industry sourcing materials from suppliers. It could also be a business outsourcing work to another business. No matter how diverse these businesses are, they all have a common need. They rely on Search Engine Optimization (SEO) as a technique for identifying a target audience, generating leads, and closing sales.

To make a success of SEO, B2Bs need to put a lot of effort into creating great content, do extensive outreach to customers, and build very strong linkages. All the time, energy, and resources that are invested in SEO never go unrewarded – you begin to score over the competition, and you build a reputation that grows your business by leaps and bounds.

SEO has to be repeatable, it needs to be scalable, and, like breathing, it doesn’t come with a pause button. You need the smartest, trendiest, and scalable SEO techniques for B2B companies that generate quality leads and keep you zooming through the fast-track to explosive growth:

Keyword Research: Doing It Right the First Time, Every Time

Keyword research guides you through every stage of web page development. You could be designing a brand new website, redoing an existing site, or reinventing your content strategy. In traditional SEO, there was a lot of emphasis on single keywords. With Google Search Engine Rankings being powered by an AI algorithm, the old SEO paradigms changed. It’s no longer a priority to produce separate content and stuffs them with similar sounding keywords.

Changing your SEO strategy to conquer AI-powered algorithms

The Topic Cluster Approach

The smarter approach is to review your website content and classify products or services into clear-cut categories. Then generate a cluster of articles around each category. Now develop a web of cross-links within each cluster. This projects each product or service category as a single organic entity.

If a customer lands in a cluster, he’ll use the links to access the information he’s looking for. Instead of wasting the customer’s time (probably losing him) by posting independent articles that may not interest him, the cluster approach improves the chances of a customer satisfying his intent.

Identifying the Right Keywords

B2Bs mistakenly assume that the way they visualize or describe their own product or service is the way customers perceive them. The way the customer describes the product (the way he enters search terms) offers a clue to the most important source of keywords. These are the keywords that really count for the customer and Google.

These keywords or phrases can be located either through direct customer contact or through customer feedback in surveys. Using such keywords (the customer’s own lexicon) is a crucial factor in successful SEO.

Customers respond readily to online surveys, especially if you incentivize emails with special offers and attractive discounts. Taking a cue from top competing sites helps you zero in on words that your campaign might have missed.

Facebook, Reddit, LinkedIn, and Quora are a rich source for keywords. Go through discussions, customer reviews, and ratings. Observe how customers talk about similar products and services. Assess how they voice their product related concerns.

Google’s autocompleting feature offers fascinating alternatives to the words you may be keying in. You’ll find a whole bunch of search-related key phrases at the bottom of the Search Engine Results Page (SERP).

Highly specialized SEO tools like Ahrefs or SEMrush make a huge difference to a focused SEO strategy. Here are the key benefits of using these SEO tools:

  • Gives you an idea what your competitors are up to.
  • Keywords or phrases that really make money are easier to find.
  • Finding and fixing website issues becomes easier.
  • A site audit helps you sanitize major glitches and design flaws.
  • Knowing your domain rating gives you a better chance of improving site ranking.
  • Link building opportunities can be explored to increase traffic. You can assess and compare the traffic on other sites.

Understanding Keyword Intent Is the New Master Key

Google uses an AI-powered algorithm, RankBrain to analyze not just the context of the keyword used by the searcher. The algorithm probes the web behavior of the searcher to decide which search result satisfies the intent of the searcher.

OK, you don’t have Google’s AI algorithm to back your keyword search, but there are ways B2Bs can gauge the customer’s intent.

Key in the most popularly used customer keywords that you’ve identified. Then take a close look at Google’s search results. If you find pages filled with “How-to,” “What-to-do” information, it means that customers are in the mood to research the topic in detail. If the results focus on product related information, you can be reasonably sure that customers are commercially minded (they’re in search and buy mode).

A simple illustration will clear the picture. The search term, “How SEO affects B2B businesses” is probably aimed at getting a fresh perspective on the topic. On the other hand, the search term, “Buy SEO marketing tools” reveals a more commercial intent. You’ll notice that the results vary a lot.

The kind of keywords you source from commercially-leaning customer queries will help you frame SEO optimized blog posts, offers, discounts, and white papers that’ll help you increase site traffic and close sales.

Creating Content That Catches Customers and Closes Deals

An SEO campaign doesn’t make headway unless there’s a strong backup of high-quality content.

As we’ve discussed before, having separate unrelated articles may not produce the desired results. An effective SEO strategy is to devise hub pages packed with the information that customers search the most. If you can’t catch the customer on these pages, provide extensive linkages that reach out like spokes to connected topics listing precise information.

Google will tick off the positives – there’s high-quality content, pages are strongly optimized for cheap SEO services, customers are spending more time on pages, visitors are ending their search with you and are not pogo-sticking to other sites.

Three Top ways of making your content come alive:

  • Present a product review that sums up all the data the customer needs to make a buying decision. For example, list the advantages and specific benefits, and provide cost comparisons with competing models.
  • Invite industry movers and shakers to comment on your product and assess its benefits in an authoritative way.
  • Get a B2B SEO professional to do a video explaining how a website audit is best at locating and plugging glitches and errors in page design.

Just as you spend time improving your website content, devote more time to getting quality websites to link to them. These links will get you higher ratings in Google rankings.

The Best SEO for B2Bs: An Account Based Marketing ABM) strategy

An email campaign that casts a wide net to catch potential customers can become self-defeating and pointless. Usually, such a strategy lands customers that only come to satisfy their curiosity but won’t stick around to close deals. Research your demographic and identify a narrow cluster of customers/companies that are most likely to respond to your marketing efforts.

In an account based marketing approach, you email a smaller group of potentially high net worth individuals or companies. The email can’t be the simple run of the mill generic type; it has to be expertly crafted to engage the customer and make an offer the receiver of the email can’t refuse.

Once the customer is hooked, your sales and marketing teams will align and present a highly personalized response. Your aim is to educate and engage a valuable and knowledgeable customer before persuading him to close a sale.

ABM strategies are very helpful in generating leads in the short-term for strengthening revenues over the long-term.

If All Else Disappoints, This Won’t: The AI-Powered SEO Optimized Chatbot Application

Surveys predict that 85 percent of direct customer interaction with brands will shift from humans to chatbots. The Artificial Intelligence powered chatbots application raises B2B SEO to its highest level. Data analytics and chatbots, using speech and textual inputs, analyze and arrive at the customer’s intent much faster than normal keyword analysis. Chatbots initiate conversational communication to market products and close sales.

For example, a customer initiates a chat request for shapewear. If there’s a chatbot at the receiving end, this simple request will be broken down into five components:

  • The customer’s name: Lena
  • The customer’s intent: Shapewear request
  • The Item requested: Lingerie/corset
  • Action Required: Deliver foundation garment
  • Timeframe: Today/Now

The French beauty and cosmetics chain Sephora uses a chatbot that scans your face and suggests matching shades, cosmetic makeup tips, beauty routines, and products.

Chatbot SEO optimization offers a potent tool for B2Bs to improve customer satisfaction.

SEO Techniques for B2B Companies: Improving Brand Loyalty and Growing Businesses

Successful B2Bs are unlocking the potency and power of SEO to improve three core deliverables. They study their target audience in every possible way. Their content responds effectively to customers giving them an experience not found elsewhere. They are constantly delivering value by way of educative information, downloadable whitepapers, and comparative pricing plans. In return, they get emails that drive leads and close sales.

When you show that you care for customers by giving them products or services that transform their lives, they reward you with brand loyalty that lasts decades.


A Simple Guide to Machine Learning and Artificial Intelligence

Technology, despite the revolutionary progress that it has enabled over the millennia, has never been short of doubting Thomas’s. Computers, for example, have become so closely integrated into our lives that we use them in our homes and we carry them around in our pockets. That has never stopped people from fearing computers and predicting doomsday scenarios. The anxiety rose to fever pitch as Artificial Intelligence (AI) and Machine learning (ML) became the talk of the town.

These new age technologies are poised to impact us in ways we can’t imagine. The topic fascinates and worries us in equal measure. That’s why people, even the least technology-savvy among us, need to understand what AI and ML are and how these technologies are poised to change our lives dramatically.

We requested IT experts from FirewallTechnical to break down the technical complexities, shed the jargon, and present a simplified guide to AI and ML so that a layperson could gain a better understanding of what these technologies are capable of doing. We share these valuable insights:

What Is Machine Learning and Artificial Intelligence?

It could be the weather, a population group, an industrial process, or something as mundane as an economic impact theory or cultural event. We study these events and gather an enormous amount of data. This data is minutely analyzed. When we analyze data, we focus on patterns of behavior that keep recurring. Then we apply advanced principles of computer science to analyze the behavior and predict what may happen in the future. The end result is a “statistical model” capable of predictive analysis. Artificial Intelligence and Machine learning are the technological breakthroughs that create statistical models and make predictive analysis possible.

Artificial Intelligence and Machine Learning: How Are They Different?

Artificial Intelligence

The word artificial means it was created by humans. Intelligence implies that the computer is programmed to ‘think’ on its own almost like (but not superior to) a human. AI is a complex cluster of algorithms that simulate human-like behavior in a computer. It’s a way of programming a computer to think on its own (mimic human intelligence) without human guidance at every step.

Machine Learning

Machine learning builds on the foundation of AI to develop programs that teach computers to gather and analyze data on their own and predict future behavior. In such a scenario, the machine is not merely programmed to do a defined task. The machine is actively ‘learning’ and changing its responses with experience. You can ask ten people for solutions to a problem and probably receive ten different answers. ML will analyze thousands of variables and predict the best outcome.

If AI infuses a machine with human-like intelligence, ML ensures that the machine thinks on its own and learns from experience to predict outcomes.

If Artificial Intelligence was a tree, ML applications would be the low hanging fruit. Both tree and fruit are mutually dependent and one can’t exist without the other. AI is the foundational technology, ML is its application. AI is the architect and strategic planner, ML is the builder and project manager.

Three Foundational Tasks That ML Is Geared to Perform

Having acquired a bird’s eye view of what these new technologies are, we move on to the three basic tasks that AI and ML are programmed to do in real life situations – Classification, Regression, and Ranking.

ML Classification:

Take facial recognition, for example. The observed image is matched with an existing database and quickly identified. Facebook is using this to tag pics of people known to you.

ML Regression:

This makes it possible to correlate numerical values with factors that tend to vary. For example, in real estate, ML can help you predict the value of your home after considering related factors such as market value of residential property, the age of the home, and depreciation.

ML Ranking:

This is a way of predicting an outcome within a certain set of parameters. For example, the likelihood of the New York Yankees topping the charts in Major League Baseball. Another example is Google’s search engine that ranks the most relevant result to a searcher’s query.

How ML Uses Statistical Models to Analyze Data and Predict Outcomes

We’ve already seen that statistical data gathering creates a machine learning model of how events pan out in the world. When data analysis gives you patterns of behavior, the same can be studied and what the future holds in store can be predicted. ML does this using datasets and functions.

  • A dataset is a graph with rows and columns showing how variables relate to each other. For example, a row may show age-groups (young, middle-aged, senior, super-senior) within a targeted population, and the column indicates their preference for an herbal product.
  • A function is a sequence of code that instructs a machine to perform specified tasks. The same functions can be used to manipulate data sets to yield a particular result.

In the population study, you could use functions (codes) to teach the machine to recognize patterns such as more middle-aged folks opting for herbal products as opposed to younger people. The machine “learns” the pattern and recognizes it when it is repeated elsewhere.

Like Human Learning, Machine Learning Follows Different Pathways

The statistical model lies at the heart of machine learning. Using these models, the ML application follows a steep learning curve imbibing “lessons” on the way to predicting behavior. Humans are said to follow at least seven learning styles – video, audio, language, and physical among others. The same is mimicked by AI and ML powered systems:

● Supervised Learning:

This is the ML way of linking a programming input to an output. For example, you can teach a program to learn the difference between good food and bad food. The computer can’t taste the food, so you explain through examples that certain foods are good, some are bad to enable it to recognize the difference. The Microsoft Virtual assistant, Cortana that trains a computer device to recognize speech commands is an example of supervised learning.

● Unsupervised Learning:

If it is cumbersome to modulate the machine ’s decision-making ability with endless examples, unsupervised learning takes over. Without referring to any known classification or category of data, the machine studies patterns and comes to its own conclusion. This is very useful when large data sets are being analyzed, and it becomes manually impossible to program responses covering every possible variation. NASA, for example, uses unsupervised learning to discover new stars that do not figure in an existing database.

How AI/ML principles impact us in daily life

Google’s search engine switched to AI and ML, creating a new algorithm called RankBrain. Previously, Google would deliver web results relevant to the keywords used by customers in web searches. Powered by AI and ML, Google’s new search engine studies the context in which the keyword has been used compares it with the customer’s past searches, studies the customer’s choices (rejection/acceptance), and delivers a result that satisfies the searcher’s intent.

The major difference is that the search engine adapts search results in the way the customer responds and offers improved results as the search intensifies. Google search ‘learns’ through experience to become more accurate at predicting the customer’s intent to give a better and personalized web experience.

Agreed, AI and ML Are a Big Deal, but How Do They Affect Me?

Social media and e-commerce giants need not engage you in long intimate conversations to get to know you better. Your web browsing habits, personal preferences, and product choices are already known to them. All they do is hand over the data to AI and ML to analyze. Patterns of behavior emerge that prompt company to reorient and personalize marketing strategies suiting individual preferences.

Machine learning is about to change the job landscape. The World Economic Forum predicts Data Analytics, AI and Machine learning specialists, and Operations managers as the top three in-demand job vacancies by 2020. Data entry, accounting and bookkeeping, and administrative roles are the top three jobs destined to become obsolete. Financial services will be worst affected because no human capability can match AI and Machine learning capacity to crunch big data and predict more accurate results.


Let’s put it in a nutshell. If you’re a developer, AI and ML unleash your potential to go where no man has gone before. If you’re a layperson, understanding and integrating the new age technologies into your lifestyle will mean the difference between survival and extinction. Agreed, AI can’t offer solutions for everything, but it is better to be aware of how AI inspired changes are reshaping our universe.

We should respond positively when a new technology promises to change the globe as we know it. Forget doomsday. Already, AI and IoT (Internet of Things) is merging with blockchain to save the environment. The same technology mergers are revolutionizing supply chain management in industry. The benefits of AI and ML are so awesome we ignore this revolution only to our disadvantage.


Top 5 Stratis blockchain development companies that are noteworthy.

Stratis Blockchain proves to be a boon for the Financial sector and yet there are only a few companies that have realised this and have started developing products on the Stratis blockchain. Since it would be hard to pick the right company based on the experience, we’ve handpicked a few of the best Stratis Blockchain development company when you can hire the whole lot of just a Stratis Blockchain developer based on your Project budget.

Why should Financial corporation shift to a distributed Stratis Blockchain?

Blockchain as a Service is a technology that is catching up with many organizations. A platform like Stratis Blockchain would allow financial corporations to use the distributed ledger technology to build products that would seamlessly integrate with their current technology stack without any issues. Stratis Blockchain has many postulates that can benefit the Fintech industry and few other dependent industries around it.

Below is a list of handpicked Stratis Blockchain development companies that are working path-breaking ideas to power our financial future. The agencies listed below even allow their Stratis Blockchain developers to be hired on a long-term or a short-term contract, depending on the requirement and the agreement.

Level 10 Stratis Blockchain development company (check here)

Level 10 is one of the top Stratis Blockchain development company that ideates develops and delivers innovative customer-centric products that are thoughtful and intuitive to use. They follow a strict ideation to a production process that enables them to rigorously deliver innovative solutions for their customers. Their expertise mainly lies in the Stratis Blockchain development, Hyperledger blockchain, Artificial intelligence among other platforms. Level 10 has also worked on building their own Artificial Intelligence-based Hyperledger platform called Hyperledger Turbo.

They also have dedicated Stratis Blockchain developers who could work on your project at your location.

Prima Felicitas

Prima Felicitas blockchain development agency builds next-generation solutions on Hyperledger, Stratis and Blockchain. Most of the projects they have worked on were earlier on taxi rental & management software, and eCommerce platform. Their team of 40+ developers have experience with working on Hyperledger based projects can extend to Stratis Blockchain as well.

On graph

On graph is an end to end Blockchain development agency that deals with everything blockchain and also the marketing for them. They offer a multitude of solutions to their customers. Artificial Intelligence (AI ), Internet of Things (IoT), blockchain have been at the core of what they do. This modern development company has a team of experts in each of the service they offer. Some of their projects are focused in the Food and Beverages sector, Digital payments etc. Their approach towards handling a project right from the wireframing stage to the delivery is prompt and transparent. On graph is headquartered in the United Kingdom.

Aequalis Technologies

Founded in Chennai, India. Aequalis has developed several innovative products built on the Blockchain and Hyperledger technology. Aequalis has built a hyper ledger based real estate solution that can efficiently solve various property / real estate related issues when deployed in the government, it would maintain a permanent record of all the properties in the country, because of its tamper-proof nature. This Stratis blockchain development company efficiently handles the project right from concept to the delivery of the solution. Aequalis’ has also built smart contracts, financial applications on Blockchain, blockchain based Dapps, on Hyperledger distributed ledger technology.

Appiqo Stratis Blockchain Development Company

Appiqo is a modern technology company, that works on cutting-edge technologies to deliver effective solutions to their customers. They have worked on relatively few blockchain projects, and their foray as a Stratis Blockchain development company opens up the avenue for cheaper Stratis Blockchain development. Appiqo does provide Stratis blockchain developers on a contract basis for your project. Appiqo is headquartered in Chandigarh, India

BONUS: Bacancy Technologies

With a presence in more than 3+ countries, Bacancy technologies have been in the business for a while. Their Stratis blockchain team has worked on other blockchain solutions such as Bitcoin, Ethereum etc. They have their own in-house products that provide solutions for DevOps, fintech businesses that require Wallet as a service developed on the Blockchain. Bacancy’s Stratis blockchain developers have experience working with the distributed ledger technology to deploy a secured Identity management and financial credit check framework.

These are some of the top Stratis Blockchain Development companies that are available for taking up interesting projects. We’ve curated some of them, but if you feel you’d need to include some phenomenal agency or a Stratis blockchain Developer that (who) is doing an incredible job, do let us know in the comments.