- EMAIL : support@contentengine.ai
- Support : support@contentengine.ai
- Sales : sales@contentengine.ai
- Technical : dev@contentengine.ai
- Content Engine Content Marketing
- Jan 06
- 4 mins read
How to use artificial intelligence to make your business better

Aside from programming, becoming an expert in content marketing can be a useful skill for recruiting and hiring, and developing a steady stream of quality engagement on social media and sites like Facebook, Pinterest, and Twitter, as well as for improving SEO. However, it can be difficult to stay on top of all the different types of AI products and services available to help companies and their brands stand out from the crowd. What that means, as others have pointed out, is that building, maintaining, and maintaining any type of AI is a daunting task. From posing questions to Alexa or competing with employees, businesses and brands are competing in a world where companies are quickly moving towards the ability to work with virtual humans, and AI software can be a powerful tool to help build out your product or service offering and drive more sales. However, as difficult as it is to master as an individual, and as well-established as the AI world has become, it can be even harder to execute in your organization. Fortunately, online recommendation sites like Foundr and AdMortgage.com are crowdsourcing some of the biggest organizations in the world to tell businesses their responses to over 500 questions like “how to start a business” and “what time to start publishing videos on YouTube” as well as two dozen other questions. Using those questions to train, or test, the artificial intelligence algorithms used in Alexa and other platforms like AirBnB, Google, and Facebook, the sites can better explain the AI for businesses and bring more companies into the fold.
While this work is certainly not a one-time exercise, it does open up a treasure trove of knowledge that can help increase companies’ understanding of the AI world.
The bottom line? Today, businesses of all sizes and industry are relying more on AI tools and applications as a key differentiator against their competitors. Therefore, it’s essential that these businesses get the most out of their own tools and those from partners. Learn more by visiting our website and reading this guide. Whether you’re a small or large company, you likely already have one of the enterprise AI applications built into your software.
If you’re not, you should be working on either building a robust application or considering an AI partner. You’ll probably use your own services for a while, and once they have expired, you’ll need to invest in an AI product that’s off the shelf. This guide offers AI tips and how you can become an effective use of the platform you already have. This advice will help you make the best use of your AI platform and make it more effective.
Why Is AI Important to Your Business? Last year, Cisco estimated that nearly 20 percent of all the technology inside of businesses globally is driven by machines.
AI is, of course, one of the most powerful technology levers available today. But you don’t need to build your own application and source proprietary data to get the most out of AI, the good news is that you don’t have to. Start taking advantage of all your API’s and infrastructures today so you ’ll have the best tool possible when you look to replace your internal systems. You’ll need to keep up with all the trends in AI applications and add anything you don’t need that you can use from your company’s available infrastructure. Become a AI Partner
When you decide to transition to an enterprise or developer powered system, you’ll need to develop a list of partners who can incorporate your business’ AI application. There are many different services that offer this potential solution, and you have to make sure you get the best on the market.
You can start at Google through the open source platform Kubernetes and then either build your own entirely or use a total API’s availability package. There are hundreds of options for just about every possible use case possible (not all these are commercial solutions but you can start with those that are). When you do that, make sure to use the public API in the appropriate format and package. Consider implementing your own solution too, for example by completely redesigning the intelligence center, but by doing that, you won’t be able to reap the benefits. So for your core business, it’s best to start with an existing solution that your company can code on. Before you decide on partners, it’s a good idea to read this guide and read the guidelines Google provides to determine the best choice for your needs.
Most importantly, your needs and your choice of platform are going to affect the quality of your solution. With your current infrastructure and your start-up focus, even if you chose a solution, you could end up with a dead end. This is when you’ll want to start with something that works with your current systems. With platforms such as Kubernetes you can run a bunch of application combinations in-memory, or in JavaScript form. Each version of the Kubernetes packages are available on the Kubernetes website and these kits can make you smarter and more efficient with what you can build. This is where the collaboration aspect of AI comes in.
For example, if you work with other developers on internal applications (e.g. ride a car using a platform like Lyft to share the data from your API management), they can coordinate and split your work and be really efficient when it comes to analytics and driving back each other’s data. Cupcake is one example of a collaboration platform that I run with a team of developers. This team works together for a week per month on new stuff and the rest of the time, they share their data so you can better manage your dashboard. This is all real-time data and if you look at the dataset you’ll notice that it has a consistent similarity so it becomes very predictable. And because you can collaborate on the same dataset, it’s much easier to interpret different data than if it’s custom code. This is why building an AI product is so important; your team will then have a better understanding of what you need to build with it so that you can fix whatever bugs you encounter without disrupting the entire system.
Own the Research
The top ten most important tech trends for 2016. Source: Statista.
Not sure what you’re working on? Get started with the research. Here are the top ten tech trends we found.
Content Engine is a State-of-the-Art Content Automation Platform
Related Posts

Protected: What Is A Customer Relationship Management (CRM) Model?
There is no excerpt because this is a protected post.
- Mar 24
- 3 mins read

Protected: Top 5 Customer Relationship Management Examples
There is no excerpt because this is a protected post.
- Mar 24
- 3 mins read
Latest Post
Content Marketing World 2019: Best Use of Blog, Facebook, Twitter
- January 23, 2020
- 5 mins read
12 Apps In Content Marketing Tech
- January 23, 2020
- 5 mins read
Digital Advertising Agency Kyobri Releases Data Driven Media Report
- January 23, 2020
- 5 mins read
How the Global Content Marketing Market will change by 2020
- January 23, 2020
- 4 mins read
The Impact of Natural Language Processing in eCommerce
- January 22, 2020
- 5 mins read
8 Tips to Getting Started with Content Marketing
- January 22, 2020
- 5 mins read
Content Marketing Tips for Your Startup
- January 22, 2020
- 4 mins read
Subscribe to Our Blog
I want the latest update in...