AI Experts Help you Maximize Your Tech ROI by Automating Processes and Providing Deeper Insights

We can see that Artificial Intelligence has brought many innovations to businesses over the past decade. Facebook invested in Artificial Intelligence Development and research to maintain its leadership position and to be a technology innovator. Amazon announced new capabilities in its computer services, Artificial Intelligence and Machine Learning on AWS to develop new models at the NYC Summit 2018.

Many businesses are seeking new ways to be a market leader with their services. They offer services that integrate artificial intelligence into their core business to help them achieve this goal.

Any AI project requires data. Data is essential for any artificial intelligence project. It is important to have enough data. Any application will require data. However, you might not have the data necessary to train a system correctly. After you have established the data infrastructure, it is time to start training models. This is where you can determine if the AI generates better recommendations than those before.

What's Artificial Intelligence?

It is still unclear what Artificial Intelligence (AI), is. According to IBM, artificial intelligence uses computers and machines to imitate the problem-solving abilities and decision-making abilities of the human brain." To achieve this, AI needs massive amounts of data. There are three types of AI: super, general, or narrow. Artificial Narrow Intelligence (AI) is AI that performs specific tasks more efficiently than humans. It drives the majority of AI today.

Artificial General Intelligence (AGI) is a type of AI that can transfer its knowledge between tasks. General Intelligence machines would be able to have an equal level of intelligence and self-awareness to humans. AI Super Intelligence refers to machines that surpass human intelligence and become smarter than humans individually or collectively.

Maximizing your Business ROI with Artificial Intelligence

AI's ability to handle high volumes and a low number of tasks is a key factor in the use of AI. B2C marketing solutions are designed to reduce costs. B2C marketers can justify investing in marketing automation technology. The same is not true for B2B marketers.

Although the core elements are the same, B2B marketing has its own unique set of challenges. So, what works for B2C may not work for B2B marketing. AI is a common tool in B2B marketing. B2B marketing is a unique field that presents some challenges. To overcome these challenges, businesses are now adopting a more targeted way of generating leads and sales in a B2B context--Account-based Marketing (ABM).

Lead Qualification

A marketer's ability distinguishes between a hot and a cold lead can make the difference in a B2B sales cycle. Analysing the intent of leads is a great way to make sure they are successful. To understand leads' intent, you will need to analyze large amounts of data about an account, such as search keywords, social media activity and market trends. Artificial intelligence can do the heavy lifting and analyze the data to determine the intent of leads. B2B marketers can use AI tools to analyze intent data in order to identify accounts that are most likely to convert. These insights can be used by marketing teams to help them prioritize accounts that are most likely to convert.

Multichannel Integration

ABM is difficult because it requires data collection and segregation. An AI-based ABM tool can ensure that all past interactions with customers are reflected in all future interactions. Your chatbots will know about all previous interactions it has had with leads every time it interacts with them. Machine learning allows the chatbots to improve communication with leads and provide a pleasant experience for them every time. Sales teams can use such insights to turn every customer interaction--regardless of channel-- into a step towards conversion.

ABM and B2B marketing can use AI to track the effectiveness of marketing campaigns in order to optimize costs. They can use AI-driven analytics to manage their advertising and marketing budgets to increase ROI.

Normalization and Evolution of Chatbots

Chatbots are becoming more familiar to consumers and they feel more comfortable speaking to them. This is due to increasing popularity of virtual assistants such as Siri and Alexa.

Chatbots powered by AI are continually evolving and becoming more sophisticated. It can be difficult to tell a chatbot apart from a human. Studies show that around two-thirds (or more) of customers are unaware that they are already using AI tools.

Customize Your Website Experience to Get a Better CRO

?

Before the advent of AI, segmentation and targeting were part of every marketer's vocabulary. AI and machine learning are able to catalyze this process and make independent decisions based upon Big Data algorithms. They can also execute it individually.

You can optimize the way a customer interacts with your site by targeting their specific interests. AI can help increase the value of your web content by remarketing your content, keeping it 'upcycling' and displaying relevant offers to customers based on past purchases or patterns.

Chatbots Make Customers Experience More Meaningful

Marketing's next major evolution could feel like a backward move from technology-first to people first. Intelligent chatbots are being used by companies to personalize the offerings of their brands and create more intuitive experiences for customers.

Chatbots are a great way to bridge the gap between sales and marketing. Chatbots are more efficient at gathering information, qualifying leads and starting conversations. Chatbots are a way to bring together all your marketing and sales teams. This will allow you to create harmony, streamline your workflows, and achieve better results.

Marketing's next major evolution might seem like a backward step, with people-first marketing moving from tech-first to people-first. By incorporating technology, companies are reinventing the way customers interact with their brands.

Enhance your loyalty program with Big Data

Customer loyalty programs are changing with the advent of AI. Maritz Motivation Solutions' Jesse Wolfersberger believes it will be essential to the company's evolution over time. AI has the incredible ability to interrupt large amounts of data at higher depths and faster speeds than humans ever have.

AI can be used to help marketers elevate their loyalty programs and make it a relationship. They can analyze and continuously make offers to customers based on tons of data.

Marketers around the world also place their trust in AI's sophisticated insight into consumer behavior. It has the potential to expose loyalty points fraud and give companies an important tool in fighting program fraud.

The Key Takeaway

If implemented strategically, AI can produce impressive ROI and increase profits while also cutting costs. It is important that AI has the buy-in of all levels of an organization without being isolated by IT departments in order to achieve good returns. With clear use cases, the right people, practical goals, and decisive leadership, AI ROI can be transformative and quick to realize.