Tag: AI

With AI adoption, companies saw their profitability soar, their efficiency increase, and their business value increase during the pandemic.

It enhances human capabilities and enhances a company’s efficiencies, reducing operating costs. Also, AI can improve the customer experience, increase revenue, and safeguard engagement.

AI and Business in 2021

The AI trend is at its height in 2021. There have been many misconceptions and uncertainties arising from this topic. However, it is undeniable that artificial intelligence has value-generating capabilities. This technology is already benefiting most industries, if not all. Additionally, the business landscape has changed dramatically for companies.

The implementation of an AI strategy in many organizations has become challenging. It’s a huge investment, but it can yield incredible results. With today’s market being more tech-driven than ever before, staying competitive means leveraging cutting-edge technologies to build business strategies.

The goal of this curriculum is to give you the knowledge necessary to fully understand, adopt, and implement AI solutions in an enterprise setting, while also maximizing their value.

Companies unfamiliar with the applications of Artificial Intelligence are often misinformed about the field. Some believe AI is about human-like robots and magical codes, while others believe it is just too complicated to understand.  We are at a point in time where businesses can easily understand, access, and use artificial intelligence – making it all that more powerful.

Machine learning refers to the process of identifying patterns in large datasets that can be used to perform human-like tasks. This field dates back to the 1950s, but it has expanded rapidly since then.

Today, it is well known that computers are capable of doing many things that humans cannot. Innovating enterprises seeking to scale their efficiency have strongly reacted to this. However, for any AI project to succeed and generate value, it must have the support of the entire organization, including the top management.

Benefits of AI

Any business with large amounts of data can benefit greatly from AI – you can train it to get more accurate results over time through the use of appropriate algorithms. You can automate even simpler tasks that are predictable in time, such as installing large batches of applications or gathering system requirements, for instance.

Additionally, if you want to do business on a different continent, the data you have gathered from the existing department can be fed to the AI algorithm, which then will spit out the needed model and/or requirements that will be optimal for the new department on a different continent.

Final Thoughts

We are living in the age of Artificial Intelligence. Many (if not all) industries are already recognizing the value of artificial intelligence. Business applications of AI are undeniably transformative, so organizations must take advantage of the technology as soon as possible.  AI can be used to shape the value generated by a business’s AI strategy as needed by any company that decides to understand and implement it.

You still have time to begin your artificial intelligence journey if you haven’t already done so. The key to everything is access to data. Businesses should be able to identify the types, quantities, and quality of data needed to accomplish their objectives, so finding relevant use cases shouldn’t be a problem.

Take the next step and book a meeting with the sales team at Byonic.AI. While many AI projects carry high costs and time investments, they are well worth the effort to achieve success.  

B2B marketing executives have changed their focus to AI over the past few years to increase the effectiveness of their campaigns and boost business growth.

The usual way of targeted marketing has been to determine signs of behavioral similarities, for example, subscribing to a newsletter related to a particular subject, and creating content according to the perceived preferences of an audience.

In the past 4 years, there has been a 270 percent growth in the number of brands making use of AI. It is also estimated that the global market of AI will get to $267 billion by 2027. These numbers are not surprising, especially when you consider all the advantages of using AI technology in B2B content marketing. 

By using AI-enabled tools, content creators will be able to automate a lot of cognitive duties. Also, they’ll be able to detect trends and predict what the future will hold, thereby ensuring the success of their marketing strategies.

How can AI and B2B Work Together?

Since increasing growth and sales have been the primary focus of every B2B marketer, they have to detect ways of leveraging data and technology and experimenting with new marketing strategies for winning the trust of their audience.

If the focus of the last decade of B2B marketing has been about things happening to marketers, then the next phase has to place more focus on the consumers – to place them at the center and heart of the revolution. Even though AI technology is the answer, we need to understand and implement the value proposition of AI-enabled B2B content due to the primacy of consumers in this technological era.

AI-Enabled Data Collection Strategies

One of the biggest challenges that B2B marketers encounter while building successful strategies is to gather, analyze, and interpret the data of customers. Doing this analysis with accuracy and precision is complex, expensive, and takes a lot of time – but it is also important. AI makes the process of data collection and analysis to be simpler by channeling information through algorithms to organize it in ways that are easily accessible and understood. 

By using machine learning applications, you can update data in real-time in a relevant manner. In other words, AI converts static data into dynamic data by adding behavioral, contextual, and real-time variables. Since AI has impacted how marketers gather and analyze data, it has changed how marketers can use the data to improve their marketing techniques. 

How will AI change the Future of Content Marketing?

1. Selecting an audience

AI can enable improved audience selection and segmentation by using tools to determine a target audience according to their previous behaviors. Marketers can provide tailored experiences that potential customers will find unique to their needs.

The amount of time and money you invest in digital ads in B2B content marketing is directly tied to importance. As you connect with audiences to take action, you’re getting the most value for your investment.

AI is revolutionizing this process by getting rid of the guesswork and targeting based on audience preferences. You can make use of this technology to show people the ads that they find most relevant – thereby reducing your expenses.

2. Content creation

The area of content creation is another way that AI will impact marketing in the future. AI-enabled B2B content is an important field of content intelligence, where AI tools provide data-driven ideas and feedback to content creators. By creating a continuous feedback loop, marketers will enhance their content creation efforts and get better results. 

Some ways in which AI will positively impact content creation include:

• Efficiently optimizing posts on social media platforms
• Create content that is data-driven and ranks better 
• Personalizing emails and website copy that has a good ROI
• Testing landing pages and determining the best-performing ones
• Effective conducting keyword research

AI technology will make the process of content creation to be simpler and more effective by providing data-driven feedback and helping in content profiling, topic inspiration, and content accuracy. AI will also enable the creation of personalized content that will enhance your marketing efforts.

3. More efficient advertisement

AI technology enables marketers to determine what customers want, this means that it can easily discover trends and insights about an audience to enhance marketing efforts. 

Additionally, AI tools can change some segments of the advertising to personalize it according to the types of customers being attended to. It can do this by using different text, music, pictures, videos, and so on, to meet the preferences of an audience. AI programs will likely be able to create ads that are a lot more effective than those produced by humans.

Some of the use cases for AI in advertising are listed below:

• Discover new ad channels that are not being used by other similar brands
• Use AI tools on various ad platforms to optimize budget, targeting, and delivery
• Make use of AI marketing platforms to buy media autonomously
• Use machine learning algorithms to get the best layout, copywriting, targeting, and bids for bigger campaigns

4. Makes SEO simpler

Although it is impossible for AI to produce highly engaging content, it can competently enhance content for search engines. Most marketing strategies require a lot of time and effort. This includes creating backlinks, choosing keywords for SEO, analyzing trends in the market, and making planned acquisitions.

AI can assist marketers to improve these processes and make data simpler and more efficient, thereby, producing quality information without any disruptions. The complex and time-consuming SEO process will become more efficient and automated with time.

5. Personalization

It is estimated that about 57 percent of B2B customers depend on suppliers to meet their needs. Generic pitches will not be enough for B2B marketing and presenting information to your audience in a timely and suitable way isn’t too much to ask, particularly with the amount of data at your disposal. 

To get the most out of customer data, you must move away from the old marketing and sales processes and focus on a more personalized buying experience for B2B customers.

Conclusion

With the introduction of AI-enabled B2B content creation, most marketing executives have already started reaping its benefits. Even though most AI systems are presently hidden, their importance is obvious for all to see. AI will certainly reshape the B2B marketing sector for the better.

AI helps business owners to better understand their customers and be able to build smarter, more intuitive, and more efficient marketing processes. It is a great way to maximize existing opportunities and uncover newer, more impactful methods to increase revenue and drive long-term growth.

To learn more about how we integrate artificial intelligence and intent data, connect with the team at Byonic.AI.

Our world today is fast-paced and digital-oriented; this makes artificial intelligence (AI) to become one of the most effective social media and marketing tools. AI has helped businesses to attract, create, and nurture prospects.

Digital marketing is getting more popular with the introduction of innovative software applications and tools. Now, it’s difficult to lose the job of a digital marketer because new applications are being created daily. Technology has changed how businesses operate and AI automation is no exception to that rule.

If you’re worried if this new technology will replace the jobs of digital marketers in the future, that is difficult to predict. Even though artificial intelligence is likely here to stay, that doesn’t mean that workers are going to lose their jobs simply because of automation. While AI can outperform humans at routine tasks human employment is presently not threatened; rather, AI taking over some tasks will create new job opportunities in the future.

MEANING OF AI PROGRAMMING

AI uses computer systems and machines to simulate human intelligence processes. These processes mostly have to do with learning, reasoning, and self-correction.

When used by marketers, AI takes advantage of concepts such as machine learning and customer data to try and determine the next move of a customer and help in improving their journey.

Marketers can now profile their prospective customers better with the advancements in analytics solutions and the evolution of big data. Having these insights have helped marketing teams to augment the performance of their marketing campaigns and get a better ROI.

WHAT IS MARKETING AUTOMATION?

Marketing automation covers all forms of marketing campaigns on all marketing channels -including phone, direct mail, social, online, and mobile campaigns. Marketing automation builds something better by taking the capabilities of lead management systems, web analytics platforms, and customer relationship management software.

A MARKETING MANAGER’S ROLE HAS SHIFTED

In the world of AI automating marketing campaigns, marketing managers are still needed. A robot has just a 1.4 percent chance of taking the job of a marketing manager. Marketing automation is created to automate repetitive duties such as social media posts, email marketing, and ad campaigns; however, a human is still needed to define the automation. It is easy to automate repetitive tasks, but the decisions affecting those processes still need human input. Marketing managers are important for understanding the shift in the marketing space.

This shift needs to understand that that the duties of marketing managers have changed. As marketing managers spend less time managing various email lists, for instance, they are liberated from the unnecessary. Marketing automation helps marketing managers spend more time on creative processes, and less time on manual jobs. Emotional intelligence, perspective, and an understanding of the human psyche are important in strategizing and determining how to market to an audience.

DIGITAL MARKETERS CAN USE AI TO:

Quickly make business decisions by using available data

Understand their audiences better

Gather and then analyze bigger data

Personalize the preferences of customers

Do better research

Streamline content creation 

Just as it is with other technological changes in the past, AI will probably create a need for new skills rather than removing jobs. Marketing campaigns will still need people regardless of the changes we experience in the future. For instance, a human will have to be present to monitor conversations made with chatbots or to create conversation programs. It is also important to have people that can look at large amounts of data, understand the data, and communicate what it means to other team members so they can come up with a business strategy. 

BETTER PRODUCT AND CONTENT CREATION

The process of getting customer information to determine their future behaviors started about two decades ago. Over this time, big brands deployed collaborative filtering to drive recommendations to millions of customers. Today, a lot of tech companies have created their product offering and business models around the idea of targeting clients with highly important and customized products/services.

This is possible because of AI-based technology, demographics, and the profile information of customers. By regularly pairing and adapting to what a customer likes and dislikes, brands can now put forward new and tailored recommendations in real-time.

SMARTER AD CAMPAIGNS.

Advancements in big data and the growth of social media platforms have enabled marketers to create smarter and more effective ad campaigns. By Using AI-based techniques, marketing teams look at social media profiles and keyword search histories to ultimately create human-level outcomes.

MORE ADVANCED CUSTOMER SERVICE AND SOCIAL ENGAGEMENTS.

It is important to consider your customer service and social engagement before, during, and after making a sale. This will be important in getting loyal customers and getting more sales. Most customers reveal that they would leave a brand if it doesn’t provide them with top-notch customer service.

IMPROVED USE OF SEARCH ENGINES.

AI greatly influenced how we search for information on the internet, and the general quality of our search experience. The experiment by Google with AI in 2015 resulted in the creation of their machine learning-based algorithm, which assists process search results. Since that time, large e-commerce stores have followed suit by incorporating AI into their search engines to enable a smarter product search experience.

BEST WAY TO APPROACH INNOVATIVE TECHNOLOGY

People who are threatened by AI automation and have no interest in learning new skills may get left behind. A lot of digital marketers have taken advantage of this technology, enabling them to use AI automation in their businesses and remain competitive in the always-changing marketing landscape. As a digital marketer, you don’t have a lot to worry about because these jobs already need technological knowledge.

FINAL THOUGHTS

The future of AI will direct brands to a more adaptive model that helps them uncover higher value and do more satisfactory and creative roles. We need to adapt to new technology, skills, and education to fit the future of the workforce and effectively prepare for an intelligent future. 

With the predicted growth of AI across all departments and industries, the least a marketer can do is create time to implement AI solutions. By doing this, they’ll be ensuring that their marketing processes are geared towards continued success, both now and in the future. To learn more about how we integrate artificial intelligence in marketing and demand generation, connect with the team at Byonic.AI