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Among the service industries to benefit the most from the AI breakthrough are the Banking, Insurance, Telecom, and Utility Industries.

It is now no secret that Artificial Intelligence is the next big thing. It is set to transform our entire way of life, from how we live to how we work and how we interact with one another.

In fact, we are already seeing some of the effects of Artificial Intelligence in most industries today.

Artificial Intelligence is currently being utilized in a wide variety of businesses and is widely used in many award-winning apps and software in the market, particularly in service industries, the AI role will only continue to rise.

The service industry landscape has shifted to acknowledge the importance of Artificial Intelligence.

Among the service industries to benefit the most from the AI breakthrough are the Banking, Insurance, Telecom, and Utility Industries.

AI in the Banking Industry

3D illustration of a robot hand holding for a generic credit card with NFC technology. Credit card is fictitious. PixOne / Shutterstock.com

3D illustration of a robot hand holding for a generic credit card with NFC technology. Credit card is fictitious. PixOne / Shutterstock.com

The banking industry has benefited massively from the introduction of AI systems, and will only continue to do so.

Some of the areas that have been impacted include:

–         Customer Experience

AI chatbots are all over the place in the banking industry. Almost every major bank has one. These bots have streamlined customer interactions and improved customer experience and satisfaction. App development companies have made it possible for clients to be able to ask for banking assistance and receive it without having to visit a bank at a physical location. This adds a level of convenience that customers appreciate. This is only achievable with AI.

–         Management of Customer Data

The breakthroughs of AI in the management of customer data is outstanding. For example, when JPMorgan Chase’s Contract Intelligence AI was given the task to review their 12000 commercial credit agreements, it managed the task in a few seconds. This compared to the estimated 360,000 hours manual evaluation normally took. The AI has now officially replaced humans in performing this task, freeing up more human resources for other sectors. Today, similar AI can be used to manage emails, articles, phone calls and other legal documents.

–         Banking Security

AI is changing the way banks secure themselves. Cases of money laundering have previously plagued the industry, but this will all soon change. Banks have started seeking tailored AI solutions to help them combat the vice.

AI in Insurance Industry

AI, artificial intelligence, in modern medical technology. IOT and automation. Wright Studio / Shutterstock.com

AI, artificial intelligence, in modern medical technology. IOT and automation. Wright Studio / Shutterstock.com

AI is literally shaking up the insurance industry. Today, traditional insurance and underwriting are being updated to become more efficient and more consumer-friendly through the utilization of AI technologies. Some of the changes we are bound to see more of include:

–         Micro changes

AI is slowly making it possible for insurance companies to access user data and tweak their offers to suit user behaviour. This is only going to be more prevalent in the future. For example, your car sensor may show that you have a history of reckless driving, and consequently, your car insurance rate may increase by 1%. If you are a very good driver, your car insurance rate may drop by 1%. This tweaking not only rewards good drivers but also results in more revenue for insurance companies.

–         Customer interactions

The insurance industry stands to benefit greatly from the advances being made in AI for customer interactions. Soon, we may see app development companies develop insurance apps with assistants that warn you if you engage in activities that could lower your insurance rate, or alert you when you are doing something that could boost your rates.

–         AI May Make Some Insurance Sectors Obsolete

By 2020, driverless cars will be common on our roads. This shift will bring with it many changes to the insurance industry. The much safer cars will lead to a much lower accident rate for example.

Auto insurance may stop being as lucrative, and insurance companies may have to adapt and switch to ensuring car manufacturers as opposed to individual drivers who will see no need for auto insurance.

AI in the Telecom Industry

Chat bot and future marketing concept . Customer hand holding tablet look for ticket and popup out smart phone screen with automatic chatbot message screen , airport background

Chat bot and future marketing concept . Customer hand holding tablet look for ticket and popup out smart phone screen with automatic chatbot message screen , airport background (Photo Credit: www.shutterstock.com)

The Telecom Industry benefits from the advantages of using AI on three fronts:

–         Customer Service and Retention

AI has enhanced customer service in the Telecom industry. The rise in customer service solutions such as chatbots has eased communication between customers and their Telecom companies. This leads to better user experience and satisfaction. AI can also be used as customer service agents, where they interact directly with clients, making the customer service process more cost-efficient.

–         Sales and Personalized User Experience

AI has also helped companies in the Telecom Industry to improve customer retention and boost the amount of revenue earned per user. The immense power of AI can be harnessed to offer personalized product recommendations to clients, assessing the type of call or data packages that suite a potential client pre-sale to increase sale success rates, and analyzing social media, brand image, and customer feedback and offering recommendations to help make the company better.

–         Network Analysis

AI plays a huge role in the network maintenance of Telecom companies. Optimized networks are a necessity today, especially due to increased data consumption. Telecom companies need to adapt and cater to their users’ needs. In the Telecom Industry, AI is being used as a network maintenance solution with a focus on the creation of self-healing, self-learning, and self-optimizing networks. This approach has proven to be future proof and sustainable.

AI in the Utility Industry

Unrecognizable corporate water utility executive managing meter data via advanced metering infrastructure solution. Industry concept for AMI, SaaS, managed services, MDM, IoT, network as a service. LeoWolfert / Shutterstock.com

Unrecognizable corporate water utility executive managing meter data via advanced metering infrastructure solution. Industry concept for AMI, SaaS, managed services, MDM, IoT, network as a service. LeoWolfert / Shutterstock.com

 The Utility Industry is already gaining a lot from the application of AI technologies. For example, AI is being used in:

–         Yield Optimization

In the utility industry, total yield equals total revenue. An increase in total yield usually means an increase in revenue. The application of AI technologies has led to optimized yields. For example, in the power production sector, power generation efficiency can be optimized by using real-time adjustments across their assets to maximize output while minimizing resource use.

–          Predictive Maintenance

Maintenance is a huge deal when it comes to the utility space. With the help of AI, drones equipped with deep learning algorithms can be deployed to help automatically identify defects and potential failure points, predicting when maintenance will be needed. This does away with costly and inaccurate manual inspections.

–         Customer Insights

AI can be used to help utilities maximize margins and minimize consumption. They can also help craft individual customer offers or deals on their services that will allow utility companies to gain new customers, create a larger user base and boost customer loyalty.

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  • Rilind Elezaj is an experienced Digital Marketing Specialist with a demonstrated history of working in the marketing and advertising industry. Rilind possesses a strong entrepreneurial mindset and has devoted his career to enhancing the sphere of digital marketing. In his methodological approach, Rilind integrates web development and other digital marketing solutions to create hybrid strategies that bring the best results.

Sourced from TALK IoT

By  Derek Andersen 

Forbes recently stated that 80% of enterprise companies are investing in artificial intelligence (AI) solutions today. AI is a machine’s ability to imitate intelligent human behavior by perceiving a set of inputs and processing that information in order to reach a desired outcome.

In the martech space, companies are utilizing AI to build customer profiles, resulting in more precise ad targeting as well as unprecedented customization. Below are three recent examples of how companies are using AI to build customer profiles and drive revenue.

1. Teleflora Uses AI to Deliver Personalized Product Recommendations

A recent article in Direct Marketing News details how Teleflora, a leading floral arrangements vendor with more than 15,000 member florists in the US and Canada, uses AI to build customer profiles and provide a personalized touch.

Source: Teleflora.com

When Tommy Lamb, Teleflora’s new director of CRM and loyalty, joined the company, he immediately realized their marketing strategy was underdeveloped. Since customers typically only used Teleflora at spread-out points in the year, the company needed strong remarketing and customer service to build brand loyalty. But rather than providing personalized offers, they only utilized a few generic holiday email campaigns.

A retail marketing platform called Bluecore gave Lamb and Teleflora the AI capabilities they needed in order to execute a three-pronged personalization plan:

  1. Teleflora first created more comprehensive customer profiles by combining their product data with their individual customer data.
  2. Next, Teleflora paired Bluecore’s machine learning capabilities with these comprehensive profiles to anticipate the future purchases of various audience segments.
  3. Finally, Teleflora integrated advanced analytics, allowing them to identify best-selling items and other purchasing trends.

This AI strategy allows Teleflora to accurately anticipate customer needs. They can target customers who are ready to buy and make personalized recommendations, driving customer loyalty and ROI. Then, their analytics solution allows them to view the results and promote high- or low-performing products accordingly.

2. BMW Leverages AI to Personalize Ad Spend and Lower its Cost-Per-Acquisition

In order to execute a recent campaign, BMW Mini worked to connect and organize its data into an actionable format. Its goal: to target adults searching for a premium vehicle who had shown interest in the BMW brand.

Source: BMWBy partnering with ad agency Universal McCann, BMW was able to leverage its first-party data—which included people who had visited the BMW website or were already in their CRM system. BMW used this data to enhance its existing search strategy, ensuring its ads delivered relevant messaging to interested car shoppers.

BMW then utilized an AI solution to optimize the efficiency of its targeted ads. Over time, this solution optimized BMW’s ad targeting so the messaging would reach the right person, based on factors like time of day, previous searches, and BMW website visits. As a result of this strategy, BMW Mini’s conversions tripled and their cost per acquisition declined by 75%.

3. Comfort Keepers Utilizes AI to Target Caller-Ready Audiences

Comfort Keepers, one of the nation’s leading providers of in-home care for seniors, uses AI-powered conversation analytics to understand what happens on calls to each of their 450+ franchisee locations. Since phone calls make up 70% of their marketing conversions, they analyze the calls to determine who each caller is, if they are a quality sales lead (vs. a non-sales call), and if they converted to an appointment or customer.

By using this conversation analytics data, Comfort Keepers is able to fully gauge the success of their marketing efforts and prove it to each of their franchisees. Not only are they able to identify the quantity of the calls their campaigns drove, but they can also understand the quality. For example, rather than simply saying “we drove 2,000 calls this week,” they’re able to identify how many of those calls are potential new customers versus current customers. This gives them a full picture of the ROI from each of their campaigns to each location.

As a next step, once Comfort Keepers understands who converted on their calls and who did not, they can use that same conversation analytics data from AI to retarget their prospects with search, social, and display ads and use good callers in their lookalike campaigns.
Read more at https://www.business2community.com/marketing/how-ai-helps-marketers-build-customer-profiles-and-drive-revenue-02091198

By  Derek Andersen 

Sourced from Business 2 Community