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Artificial intelligence (AI) is a set of technologies developed to make people’s lives easier. Through machine learning and data analysis, it can facilitate processes, make predictions and drive better decisions. 

Companies are increasingly turning to AI to improve and refine their operations, with over half using AI for customer service support, and a quarter using it for recruiting and talent acquisition. When integrating AI into the human resources (HR) department, the relationship between recruiters and candidates is transformed. Also, it facilitates the management of employees and practices in general within an organization. 

AI simplifies and automates talent search, from the selection process to the onboarding of new employees. It also helps to accurately calculate payroll, track clocking in and out, and improve collaboration between the HR department and the rest of the organization. 

Although adopting AI helps save costs, many business owners and CEOs still shy away from fully integrating it into their organizations, thinking it will harm their operations. Technology will never completely replace human talent, that’s a fact, but it can help you do your job better. Therefore, here are five ways AI is revolutionizing the HR industry.

5 ways AI is revolutionizing the HR industry

  Speeds up the hiring process

When integrating an AI tool for talent recruitment, tasks such as vacancy design and sharing, profile selection, and applicant communication management can be automated. Outsourcing these tedious and repetitive tasks means more focus on the things that humans do best and less time wasted on things machines do more efficiently.

To choose the profiles that meet the vacancy’s requirements, these AI tools allow you to apply filters that help you find the best candidates based on their knowledge, soft and hard skills, and experience. 

At the end of the recruitment process, recruiters will decide who joins their teams based on the data provided by these software solutions. However, by using AI solutions, they will have saved both time and resources to focus on other essential aspects of this area.

      Optimizes candidate and recruiter experience

    In addition to streamlining the hiring process, artificial intelligence optimizes the candidate and recruiter experience, as both can use the same platform to share files, see at which step of the recruitment process candidates are, if they are missing any documents or procedures, and even arrange a meeting to evaluate the aspirants to fill a vacancy. 

    A shared space prevents losing emails with valuable information or not reviewing them on time. Thus, the hiring process becomes more orderly and improves communication with applicants, which in turn gives an image of trust from the company to the candidate (remember that when an employee trusts your company, they generate a sense of belonging to it, so it will be more difficult that, after being hired, they decide to leave the organization).

    Also, with the appropriate filters, candidate and employee software solutions help eliminate any biases hindering talent acquisition, such as gender, age, origin, sexual orientation and gender identity of applicants. In this way, technological solutions even help to build more diverse work environments.

        Streamlines employee onboarding

      When you have artificial intelligence tools in your HR department, onboarding new employees is also less complicated, as these software solutions automate the sending and receiving job offers, contracts, and even the prospective employee’s work tools, like shipping a computer or a welcome kit to the new hires. 

      Additionally, with the increase of global talent recruitment through international PEO / EOR service providers, third parties who are responsible for finding, hiring and managing employees in accordance with local regulations, HR departments need technology solutions that make it easier to onboard and coordinate employees regardless of location or time zone. 

          Better employee management

        After finding the most competent candidates to fill a position within the organization, the HR department must take care of employee management, such as handling payroll, schedules, vacations, insurance, work permits, and any requirements indicated by local labor and tax regulations. 

        Administrative activities, especially repetitive ones, can be time-consuming and tedious, taking away focus from more essential tasks, such as creating continuous improvement projects, training, coordination between different areas, and more. Let humans do what they do best and let the machines do what they do best.

        Thus, when the HR department uses any IA tool for personnel administration, it allows its members to focus on the core business, improve its processes of linking the different areas that make up the company, and better link the organization with the outside world.

            Improves decision making

          AI has also revolutionized the human resources department in decision-making, hiring and onboarding processes, personnel management, and training.

          These patterns, therefore, help the HR department evaluate the effectiveness of recruitment strategies and processes, recognize risks, and make better decisions to ensure better results.

          How to choose the best AI tools for your HR department

          When choosing the best AI solutions for the HR department, don’t forget to look for those that:

          Easily integrate with the tools you already have in the HR department and elsewhere

          Have a margin of error

          Are user-friendly and intuitive. 

          Have support or training services and can be customized to your needs.

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          How Is The Cloud Revolutionizing Fintech And Healthcare Industry?

          Cloud computing is revolutionizing the fintech and healthcare industries in enormous ways

          During the early phase of the epidemic, several businesses were compelled to substantially alter their operations. Rapid digital transformation is vital to thrive financially, meet changing customer requirements, and keep staff engaged. In this article, we will see how the cloud revolutionized the fintech and healthcare industry. Read to know more about the role of cloud computing in industries like FinTech and the healthcare industry.

          Using Cloud Computing to Overcome the Office and Lab Work Model

          Cloud computing platforms have enabled businesses, schools, and government agencies to overcome pandemic-related obstacles and significantly increase innovation and market agility.

          The cloud computing business is predicted to reach almost $500 billion in 2023, up from US$243 billion in 2023. Amazon Web Services alone is increasing at a 33% annual rate. In the previous year, this accounted for 75% of the company’s operational profits.

          Rather than retreating to the status quo, corporate leaders must continue to use emerging technologies to challenge industry stagnation. Here’s how the cloud is transforming the health and finance industries.

          Cloud-Based Services are Ripe for Disruption

          “On-premise” storage, or in-house systems that can restrict scalability and storage, has historically been a problem for business leaders in the dental and healthcare industries. On-premise servers and an aging infrastructure severely limit providers’ ability to implement new tools and make use of the data they already have as diagnostic systems become more sophisticated.

          Additionally, the limitations present difficulties on the patient’s side. Accessing health records, making online appointments, and connecting with various healthcare providers for multi-system health needs are among these difficulties.

          Even though these problems have been around for a long time, the healthcare crisis brought on by the pandemic overwhelms them and makes them worse, making it even harder for many patients to get the care they need.

          Upgrading EHR to Better Cloud Systems

          Upgrading to better systems that can work faster, save money, and adapt to consumers’ and patients’ needs is necessary to solve these issues. In a recent case study, MIT Sloan looked at how Intermountain Medical Center in Utah updated its out-of-date electronic health record (EHR) system to deal with common issues.

          By upgrading the technology that powers its 22 hospitals and 185 clinics, Intermountain was able to save millions on procurement and internal IT costs while also significantly improving patient outcomes. What we already know is confirmed by the MIT analysis: Cloud-based systems can simplify patient management, which can lower attrition rates, recoup revenue lost, and build stronger, more long-lasting relationships with patients.

          How Updated Version of EHR Work for the Dental Industry?

          One of the highest rates of attrition in the healthcare industry is experienced by dental practices, where the average practice loses 20% of its patients. Attrition could be reduced by as little as 3%, which could add US$73,000 to annual production. Cloud-based services help patients remember their appointments, streamline communications, and replace outdated booking systems. Long wait times are avoided when outdated systems are replaced, resulting in tangible improvements in dental providers’ retention rates.

          Finance & the Cloud

          Cloud-based technologies are helping banks scale in the financial sector to better track fraud, expedite loan applications, and respond to market fluctuations-based surges in customer activity. New mobile banking features, money laundering patterns, and AI-automated underwriting decision analyses are all made possible by cloud-based tools.

          Sadly, many banks lack cloud adoption because they rely on internal servers that have inherent limitations. Only 12% of tasks performed by North American banks are currently handled in the cloud. 90% of U.S. banks have digital transformation plans in place but haven’t switched over to them. Bank of America built its cloud, whereas giants like Wells Fargo and Capital One are either already using cloud technologies or in the process of migrating over. The refreshed and further developed cloud-based innovation has saved Bank of America billions of dollars.

          Highly Regulated Systems are Slow to Adapt

          Data has historically been reluctantly moved from on-premise servers and data centers by businesses in highly regulated industries, which are notoriously slow-moving sectors.

          Edge Networks:using Ai And Data Science To Streamline Hr Services

          EdGE Networks is a next-gen HR technology solutions provider, offering solutions to large organizations for their most pressing HR challenges. The company’s strength is in harnessing AI and Data Science to solve the toughest talent acquisition and workforce optimization challenges faced by organizations.

          Founded in 2012, EdGE Networks clientele includes C-suite and HR leaders looking to staff projects with talented people (from external or internal sources), quickly and without having to rely on inefficient channels of recruitment and allocation. Additionally, their tools help employees and job seekers realize their career goals and aspirations either within their organizations or outside. To enable this, the company has built a neural network of skills and jobs that learns and grows with time using their source-validate-connect algorithms running with Natural Language Processing (NLP).

          EdGE Networks product offerings include:

          •  HIREalchemy, an innovative Talent Acquisition Product that enables the search, rank, and recruitment of talent with amazing ease and accuracy.

          •  Talent Analytics Suite that helps in predicting attrition, forecasting resource demand and more – enabling fact-based decision-making across the HR value chain.

          •  Workforce Optimization Solution that forms the intelligence layer on top of HR systems and helps effective organization building.

          With their Talent Transformation tool, the company helps to develop and transform talent to maximize employee potential and drive business growth. Using AI and Data Science, the tools read and understand employee profiles, recommend relevant career path and open internal jobs based on skills and past experience. The platform determines any gap between aspired career and current profile and suggests appropriate learning path to bridge the skills gap.

          Pioneering Data-Driven Decision-Making in HR

          The company works by enhancing internal supply visibility through a robust skills repository, enabling internal fulfillment and reducing costs incurred in external hiring. EdGE Networks help create intelligent job descriptions with appropriate keywords, lack of which is one of the key reasons for inaccurate resume matches. Auto-sourcing and the intuitive user experience of the company’s platform promote self-serve recruitment by hiring managers and increases portal utilization.

          This enables instant resume matches, faster job fulfillment and lower hiring cycle time. Due to its inbuilt ability to parse structured and unstructured data, their platform produces more accurate matches, resulting in fewer or no demand cancellations and allocation failures. The company’s predictive and prescriptive analytics algorithms help optimize resourcing through accurate demand forecasting as well as curb attrition through flight risk scoring. Completing the workforce transformation cycle is the feature of Intelligent Learning Path, that maps the career path of staff, identifies skill gaps and suggests training courses to bridge the gaps.

          A Seasoned Leader Who Paved the Way for Success

          Arjun Pratap, Founder & CEO of EdGE Networks is the visionary who has led the company to where it is today. Prior to EdGE Networks, he worked with organizations such as SpeedERA Networks and Akamai Technologies, where he was responsible for building their India and international businesses. Arjun also headed the sales function at Dexler Information Solutions to provide strategic direction in building the company. He began his career in Sydney, working at a startup.

          Being associated with startups almost all his professional career, Arjun always wanted to do something on his own. Arjun launched his first venture, a digital platform aimed at creating a more industry-ready youth population, that would enable our country to leverage the demographic dividend. However, challenges along the way made him change direction and look at the problem statement differently. It was during his first venture that Arjun realized the scope and need for next-gen HR technology solutions – and how it would help organizations build future-ready workforces. And this led to the start of EdGE Networks.

          The venture was built on the premise of a powerful search and match function and how that could alleviate search friction for people and jobs using technology. EdGE Networks started with resumes and job descriptions being the initial point with the ability to build technology to read and match the two like a fantastic hiring manager. This led to building an HR technology platform, backed by AI, Data Science, Analytics and Machine Learning that enables workforce transformation.

          Happy Clients with Significant Progress

          EdGE Networks works with large enterprises including Wipro, HCL, Virtusa and understands that hiring is not the only challenge they deal with. The HR systems also grapple with issues like predicting attrition, project allocation failures, which like the hiring cycle also make them lose a lot of money.

          Generally, most IT businesses lose a major chunk of their costs to benched employees, while being unable to allocate a resource for a requirement in due time. On an average, it takes close to 15-16 days for multinationals to allocate a resource internally, hence losing out almost US$800,000- US$1.5 million to their customers every day.

          A few stats that the company has inferred while working with some of the leading MNCs by using their platforms shows:

          •  96% improvement in hiring cycle

          •  4 times improvement in supply visibility

          •  58% reduction in hiring cost for the MNCs

          •  51% reduction in hiring allocation failures

          •  36% increase in internal job allocation

          Awards and Recognition

          The journey has been very rewarding, and EdGE Networks has won several prestigious awards and recognition. World’s No. 1 tech giant, Google has seen the potential of their work in the field and selected the company as one of the six Indian AI startups for its Launchpad Accelerator Program (batch 4) in 2023. EdGE Networks has been awarded the Deloitte Technology Fast 50 Awards India consecutively in 2024 and 2023. EdGE has also won the Deloitte-MIDAS Award 2024, which opened new gates for them to foray into the UK market. The company won UK’s India Emerging Twenty (IE20) Awards by London & Partners in 2023. These are a few of the notable ones from a long list of proud moments.

          Learning from the Challenges

          EdGE Networks began their journey by competing against Oracle, Microsoft and LinkedIn of the world to acquire the intelligent hiring and workforce optimization business in one of India’s largest IT companies. The company almost failed as they had no customer reference and many skeptics (for good reason). “If we had failed in that attempt, we might not have been around as the initial years’ burn rate for a startup is quite significant,” says Arjun.

          3 Ways Ai Is Changing The Health Insurance Sector In 2023

          In this research, we will explain how AI can improve fraud detection, enhance customer service and reduce expenditures  in the health insurance sector.

          1. Detect fraud more accurately

          Health care fraud costs about $300 billion annually in the US. Since health insurance accounts for one-third of healthcare spending, we can roughly say that health insurance fraud costs about $100 billion per year. That’s a significant amount, and as we discussed in our article on insurance pricing, fraud becomes a burden on customers in the form of higher premiums. So effective insurance fraud detection benefits all with the exception of fraudsters.

          AI models can be effective fraud detectors and preventers as they automate manual workflows. Health insurers generate a huge amount of paperwork by processing claims. Traditionally, insurers manually review the relevance of claims to determine whether or not they are fraudulent. This was both a time-consuming and inefficient process. According to McKinsey, for every 10 health claims submitted, insurers classify up to 7 as unusual, meaning potentially false or fraudulent, based on company policies. Thus, 70% of the claims are reinvestigated by the insurers.

          According to Forbes because of this inefficiency of manual fraud detection, investment in AI-based fraud detection is the top priority of firms. NLP-based models reduce the time required to identify suspicious case claims by 75%. NLP models are feeded by dataset of previous fraudulent claims, and by time become more effective fraud detectors. Thus, they can reduce the unrealistic 70% rate of suspicious cases.

          2.Improve customer service

          According to Deloitte, up to 75% of customer service requests like simple queries of customers can be automated through the use of chatbots. The economic return is equivalent to a 40% reduction in customer service costs. And companies can free employees’ time with up to 97% by using chatbots. So, the insurance sector can benefit from AI-driven chatbots.


          As an example, chatbot producer Haptik developed an intelligent virtual assistant to address client inquiries for Zurich Insurance Company. Haptik assists Zurich Insurance’s platform in handling about 85% of client inquiries automatically, with 70% of all inquiries being totally automated without human assistance.

          Chatbots, on the other hand, can be taught expressly for health insurance needs. For example, they can extract data such as name, residence, age, symptoms, nutrition and sport habits to establish a policy. As a result, insurance companies can acquire new consumers digitally.

          Chatbots are also useful for handling insurance claims. For sending first notices of loss (FNOL) and verifying claim progress. Deloitte found that, after COVID-19 Pandemic, insurers adopted digital channels such as mobile apps more, where some insurance companies handle more than half of claims in this way. Chatbots can interact with customers on mobile apps and messaging apps and manage digital and automated claims processing.

          It is vital to recognize that. As a generational need, claims processing is shifting from physical to digital. And as a result, health insurers may find it more usual in the coming years to handle claims using chatbots.

          3. Reduce health expenditures

          This is an example of the integrated use of AI and IoT. Smart devices like smartphones, watches, homes, cars, etc. collect a tremendous amount of data about the customer’s life choices. By using effective AI models, this data is transformed into that person’s premium. Consequently, health insurance companies can conduct an effective and fair underwriting process.

          In the near future, this health insurance transformation could be extended to other technologies. For example, digital twins, the computerized replication of any object, including humans, can be used for more accurate health risk analysis.

          To find out more about innovative insurance solutions, you can read our Top 7 Innovative Insurtech Companies of 2023: Detailed Guide article.

          Further readings

          Top 5 Insurance Technologies & Their Use Cases: In this article, we present five technologies that we believe will most transform the insurance sector. For each sector, we specifically address which insurance practices can be improved by the introduction of a particular technology.

          Insurtech Guide: What it is, Trends, Technologies & Challenges: This article is our general guide that introduces the general trends and insurtech landscape to showcase the magnitude of change that is taking place.

          Cybersecurity Insurance: What is it & why is it important?: Lately, we rely on technology for almost everything we do on a daily basis. As a result, the cost of cyberattacks might stop operations of businesses. This article assesses the rise of new insurance practice that protects companies from cost of cyberattacks.

          You can check our lists of AI platforms, AI developments and AI consultants to build AI models more easily.

          Our health insurance platforms and insurance suites lists might guide you to find appropriate insurance tools/vendors. 

          Finally, to get the latest guides on conversational AI, download our whitepaper:

          We can help you to identify the best providers that can assist you with your digital transformation to compete in the challenging insurance sector.

          Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





          5 Surprising Ways You Can Use Ai In Marketing Right Now

          When you think of artificial intelligence, or AI, humanoid robots or some kind of computer-generated all-knowing being, like Don Cheadle’s character in the new Space Jam, may come to mind. While artificial intelligence sounds like a far-off concept, it’s actually more accessible than you might think.

          Never thought that the villain in Space Jam: A New Legacy would be an AI. But here we are in 2023. 

          In fact, most of us encounter some type of artificial intelligence every day. It’s how you receive product recommendations while browsing online, it’s that magical skill that understands your voice when you speak to Siri or Alexa, it recognizes the faces in your photos, it automatically moves the spam emails you receive into your Junk folder, and it sends you a text message when it suspects you might be a victim of credit card fraud.

          Artificial intelligence is all around us. And it’s making life easier. But what about AI in marketing?

          There are practical ways to use artificial intelligence in marketing that are accessible for businesses both large and small. In this post, we’ll discuss

          What AI in marketing is

          Examples of AI in marketing

          How you can use artificial intelligence in marketing right now

          So, take my (non-robotic) hand, and let’s learn about AI in marketing together.

          What is AI in marketing?

          Let’s start off with a few basic definitions. The definition of AI, or artificial intelligence, is “intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.” AI is essentially the science of programming machines to be smarter than we are by making accurate predictions based on large sets of data.

          AI in marketing is the practice of applying artificial intelligence to marketing tactics, strategies, or practices.

          AI for marketing often happens in:

          Data collection

          Data analysis

          Content creation and curation

          Product recommendations

          Search recommendations

          Ad targeting

          Website chatbots

          Marketing automation

          We’ll get into some of these in-depth a little later.

          Types of AI in marketing and examples

          There are four common types of artificial intelligence applications that are used in marketing: virtual reality, augmented reality, voice, and machine learning.

          Virtual reality

          Virtual reality, or VR, is when you’re immersed in an environment outside of your own reality. Created with stereoscopic sound and 3D computer imaging, VR creates an immersive, believable experience that makes you feel like you are there both mentally and physically. Turn your head and the world turns with you, so the illusion created is never lost.

          Examples of virtual reality in marketing

          Virtual reality is used in marketing to create experiences, and it’s something that’s becoming more commonplace for businesses.

          This use of AI marketing in the form of a virtual reality campaign allowed Volvo to target users who weren’t near a dealership or who may not have visited the dealership prior to the XC90 Experience.

          Other brands, such as LiveNation, have also used VR to create experiences for customers—and it’s something that we know will only continue.

          Augmented reality

          Augmented reality, or AR, is the augmentation of your own reality, the one that you’re currently in and surrounded by. AR lets us see the real-life environment right in front of us—my computer screen, my cup of coffee, my dogs sleeping in a chair—and overlays it with digital augmentation. So the real world and the digital world are intertwined.

          Examples of augmented reality in marketing

          There are some really cool examples of augmented reality marketing campaigns, and brands are getting more and more creative in how they’re using AR in marketing.

          One example comes from IKEA. Their app, IKEA Place, allows users to place “true-to-scale” models of IKEA furniture right in their own spaces. Not sure if a rug will work with your current furniture? Try the app. Looking for a new bedside table but want to make sure it will fit? The app helps with that, too.

          This genius application of AI marketing in the form of an AR app solves a problem many shoppers have when it comes to their furniture purchases.

          Another one of my favorite examples of AR is USA TODAY’s 321 Launch app, which lets you use augmented reality to experience a rocket launch right from your phone on any flat surface.

          Through immersive storytelling and creative experiences that solve consumer problems, augmented reality provides a practical and impactful use for AI marketing.


          Voice is one of the forms of artificial intelligence that the majority of us are most familiar with. Artificial intelligence powers Siri, Alexa, Google Home, and other voice assistants and uses natural language processing to understand our queries and identify our unique voices.

          Examples of voice AI in marketing

          Marketers, brands, and local businesses are still trying to harness the power of voice search, even though it’s technically been around since 2010. If your business or brand can be the one recommended by voice assistants after a local search, you can win a large share of the market. It just comes down to how to do that.

          Related: Get our guide to master voice search for your business.

          If you’re looking for a real-world example, just ask your voice assistant for “best restaurant near me” or “dry cleaners open now” and see what results you get.

          An example of voice search results from Siri. 

          Machine learning

          Machine learning is a type of AI that means a machine can learn on its own without being programmed to do so by a human. Its system can automatically learn and improve from experience. Sounds a little crazy, right?

          AI will gather information like what types of shows you watch on Netflix, the kinds of products you buy on Amazon, how many minutes you leave your refrigerator open, whether you prefer the scenic route or the quickest route in the car, and what kinds of jokes you like. It can then make recommendations based on this data and improve over time.

          Machine learning is the reason your Spotify playlists can become so narrowed in on what you like or don’t like—it’s learning from your behavior based on every liked or skipped song.

          Dave gets it.

          Examples of machine learning in marketing

          Machine learning is probably the most common application of artificial intelligence in marketing because it can happen in the backend of a lot of systems and programs. Google and Bing both use machine learning AI to refine search results.

          Google even has a name for theirs: RankBrain. RankBrain is “a component of Google’s core algorithm which uses machine learning to determine the most relevant results to search engine queries.”

          According to Moz, “the query goes through an interpretation model that can apply possible factors like the location of the searcher, personalization, and the words of the query to determine the searcher’s true intent. By discerning this true intent, Google can deliver more relevant results.”

          In layman’s terms, RankBrain is using machine learning to process searches and deliver what it deems as the most useful result to the searcher.

          Machine learning is hugely useful in instances where there is a large amount of data to process and has optimized many aspects of marketing for businesses and brands both large and small.

          Related: The benefits of artificial intelligence in marketing.

          5 ways to use artificial intelligence in marketing

          You’re sold on artificial intelligence in marketing now, right? Great! So how do you get started? Here are a few ways your business—no matter the size or budget—can use artificial intelligence to power your marketing.

          1. AI and lead management

          Here’s an example of email templates that use AI and automation to keep contacts engaged after becoming a lead from LOCALiQ’s Client Center. 

          2. AI and A/B testing

          A/B testing has many benefits for your marketing campaigns. By A/B testing your campaigns, you can identify what is resonating with your customers so you can drive better results and maximize your budget.

          When AI is used in A/B testing, automatic tests and tweaks can be created and analyzed without you needing to manually isolate variables and create tests. The AI can then select the best-performing ad variation and run that without you lifting a finger.

          This combination of AI and automation allows you to A/B test more variations and zero in on the factors that will drive the best results. Plus, with machine learning involved, the AI will continue to learn what’s working best for your campaigns and make recommendations based on those results.

          3. AI and budget optimization

          One challenge many brands and business owners encounter is distributing their marketing budget across channels. This is often an extremely manual process that requires the use of multiple systems, reports, and calculations to determine the right budget mix. And when it comes time to make changes, you’re going through the steps all over again.

          By incorporating AI into your marketing budget mix, automatic optimizations can be made to your budget and bids across channels through a single system.

          Often, these optimizations can be made based on the channel and channel-specific factors like targeting, bid strategy, and more, that are driving the best results for your business. This makes your cross-channel marketing more effective and easier for you to execute.

          4. AI and ad design optimizations

          Similar to A/B testing, there are times when you’ll want to test ad design variations to find out what will drive the best results. One way you can do this is by using AI in your design optimizations.

          This can result in small design changes, such as shortening copy, changing the color of a call-to-action button, or updating font, which can lead to meaningful results.

          Here’s an example of an ad design that was tested and optimized using AI:

          5. Creating experiences with AI

          What’s going to set your business apart from others in your market? Many marketers believe the answer is through creating unique experiences that engage your customers. If you can provide a way for customers to engage with your business in a meaningful and impactful way, you can stand out from the competition and win more than just new business—you can win brand loyalty.

          Not every business and brand has the means to host or create mind-blowing in-person experiences like customer appreciation events or conferences featuring the biggest celebrities. But you can think creatively and use AI in the form of virtual reality or augmented reality to create experiences and connections with your customers—no matter where they, or you, are located.

          One of my favorite examples is St. Jude’s Hall of Heroes campaign. Using virtual reality, St Jude gives people a way to hear stories from childhood cancer survivors and their families so they can experience something through VR that they wouldn’t get to experience otherwise.

          Think of ways you can use AI in marketing to create experiences and connect with your customers—even if it’s something as simple as adding chat to your website or creating automatic email replies when you receive an inquiry after hours.

          Artificial intelligence in marketing: An intelligent decision for any business

          Artificial intelligence in marketing will only continue to gain steam in the coming years. You can set your brand apart by using AI to deliver a good customer experience, demonstrate value to your customers, streamline processes for your business, and make meaningful optimizations that will drive better results.

          Stephanie Heitman

          Stephanie is the Associate Director of Content for LocaliQ and WordStream. She has over 10 years of experience in content and social media marketing and loves writing about all things digital marketing. When she’s not researching the latest and greatest marketing news and updates, she’s probably watching reality TV with her husband, reading, or playing with her two pups.

          Other posts by Stephanie Heitman

          How Is Ai Transforming The Real Estate Business

          With everything going online and with each possible stream of data available for scrutiny just like a distributed database, the role of Artificial Intelligence (AI) is growing faster than before. The seamless availability of information and management in the similar fashion shows the real transformation AI has brought into our lives. Machine learning and AI are revolutionizing every other industry be it law, medicine, education or real estate. The replacement of human jobs by automation has always been a topic of discussion. But before that one must have a closer look at the ways by which Artificial Intelligence is coming out as a boon not just for buyers or potential customers but for agents and real estate business firms. Real Estate is a territory which is eagerly seeking an integration with AI for desired and timely results accompanied by comfort. Virtual Access to Real Estate: Artificial Intelligence has led to a breakthrough in the responsive system for buildings. Smart LED lights and self-programming thermostats are a few examples of how the inclusion of AI can be seen. This technology will help in estimation of costs and come out with optimized structures. Having said that, there is still a lot to be done in this field to make buildings that are self-responsive. Tenant-Owner Interaction: Installation of smart technology in homes is nothing new. Brokers and AI: One way is to adopt the new technology to deliver an unmatched customer experience and the other is to lose your job. On one hand, AI provides integrated services with the requirement for lesser agents but it also puts several functional jobs in dilemma. It is absolutely true that AI offers the wide range of relative information to the potential buyer at one go making it easier for both the parties to come to a decision. But it can be disruptive when it comes to human jobs. It is efficiency versus jobs. Security Breach with AI: Earlier we talked about how smart homes have now become a thing and a virtual tour is more of comfort and how a stay office access to all the information makes the job less painful and more efficient. Amongst all these perks the security breach scenario and the danger of being hacked are some of the cons alongside. There are enormous risks associated with technology interfering our lives.

          In 2024, IBM’s X-Force Ethical Hacking team conducted a penetration test on a customer’s building automation system and found numerous vulnerabilities in the HVAC system that would allow a malicious intruder to gain access to the enterprise’s central server, proprietary customer data.

          The Future with AI in Real Estate: With the current level of inclusiveness of AI in real estate, the business has to balance the jobs and automation of the same. The benefit of efficiency and savings cannot be led to overpower the human jobs. If that happens, it will only lead to depletion of the hard-earned trust of the field in the market. Technology must be invited but one has to figure out a way to make space for it by not replacing something completely. Certainly, there are a few areas where AI aid is much needed like customer relations and customer services, employee management etc.

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