Article | August 18, 2020
Phishing and email-borne malware has a disproportionately large impact on the healthcare industry. Among the 3,950 breaches examined in the 2020 Verizon Data Breach Investigations Report, 521 took place within health care organizations, making the industry the most frequently victimized among those included in the report. Financially-motivated criminal groups are particularly likely to target health care organizations, and human error often plays a role in their success.
Article | August 14, 2020
Okay, I assure you that this blog is not about a cheesy reality TV show. However, there is a group of real Wi-Fi reality stars at Extreme Networks that get very high ratings, but without all the drama! I am talking about all the CWNEs that work here at Extreme. For those not familiar,Certified Wireless Networking Expert (CWNE) is the top-level certification offered by the CWNP program. To become a CWNE, a WLAN professional must pass four very hard exams about 802.11 wireless networking administration, security, analysis, and design. But keep in mind, passing four tests is only the beginning. All CWNE applicants must establish many years of wireless networking experience, meticulously document involvement with numerous WLAN projects and seek endorsements from respected Wi-Fi industry professionals. The CWNP Board of Advisors must approve all CWNE applications.
Article | August 25, 2021
If you ask how Jeff Bezos is one of the most successful entrepreneurs today, you receive a good deal of answers. nd one of those answers is that he initiated innovation in marketing. He implemented marketing and strategized it in a way that they have become the new rules for successful marketing. He utilized marketing techniques from word of mouth and advertisements to a technology like AI. If Alexa knows that you ordered 10kg of flour last month and have a family of four, the device will remind you to reorder it before you are out of flour.
Thanks to AI, marketing has become simpler with predictive analysis. And, with the merging of IoT, automation, AI, and machine learning, marketing has become more personalized.
The traditional ways of marketing are still in practice, but AI is sure to revolutionize the marketing industry, shorten the sales cycle, and broaden the pipeline. With these new trends in marketing automation, let us see how you can implement AI marketing to boost your sales.
Understanding AI Marketing Methods
Before implementing AI marketing, you need to understand your target audience and the market. Once you have a thorough knowledge of what you offer and what your customers need, your marketing solutions can be designed accordingly.
As a seller, you may think of AI as abstract. But the amount of data that you have is the best source of solution for your marketing. Once you have digitalized your business, implementing automation and AI becomes an effortless task. All you have to do is apply the right software, advertise on the proper mediums and keep your business active on the customer feed.
Those above may sound complicated, but you do not have to worry about the technical part. You need to provide the correct data, and the machines are at your disposal.
Here are a few components of AI marketing platforms that have impacted and will impact marketing for years to come. Once you have an idea of them, you will know how your sales graph will rise with data-driven technologies combined with automation.
Components of AI in Marketing
Deep learning allows you to understand how a customer thinks, purchases, decides and reacts to a shopping process. Deep learning lets a machine simplify data complexity and make the best use of the available data.
Deep learning not only predicts the customer’s behavior but also predicts product marketing. It helps you analyze your product selling options based on seasons, holidays, consumer behaviors, sales, competition, and a lot more. It also advertises your businesses on consumer behavior patterns. Deep learning helps you target the market on a trial basis with minimum investment. This assists you in taking risks and calculating them.
Automation marketing has taken customer experience to another level. You can use any suitable software for e-mail marketing, social media marketing, and ad campaigns.
Marketing automation helps to personalize the customer experience. For example, you can target your customers by sending them birthday, anniversary coupons, creative reminder mails, or simple content about your new services or products. These small gestures guarantee 50% more sales at almost 33% lower costs.
AI with automation marketing includes lead generation, marketing campaigns, data analytics, data reporting, predictive analysis, etc. Thus, incorporating marketing automation in any size of business promises a host of benefits.
Machine learning helps you to design suitable content for the target audience. Implementation of machine learning provides 57% more enhanced customer experience than any other marketing technique.
The best example of machine learning is AWS (Amazon Web Services) which is available for everyone to customize the services according to the customer’s demands. The combination of AI and machine learning is 100% successful in optimizing data and content. As a result, it assures 44% customer retention.
Thus implement AI marketing tools to have a loyal customer base. To start with, incorporate chatbots into your websites and revolutionize your customer experience.
The Game Has Changed.
Businesses have already started including marketing automation techniques. As a result, most of them have seen their sales graph soar with the correct practices.
Some of the benefits of marketing automation are:
Enhanced customer experience
Profitable marketing efforts
The bottom line is that the future of artificial intelligence in marketing is a promising one. It has already transformed the marketing world, and the results are inevitably positive. Thus, implementing the above AI marketing techniques is essential for the sustainable future of every business.
Frequently Asked Questions
How can AI be used in marketing?
AI is used in marketing by incorporating automation software. This software interacts with customers in real-time and can communicate seamlessly. The best example is chatbots. AI studies data, processes it and uses it to provide a personalized experience to the customers.
How is AI reshaping marketing?
AI studies each customer individually. Then, according to their behavior and shopping patterns, it provides them suggestions. As a result, it enhances the customer experience. And when the customer feels connected to the brand, they are bound to return. Thus, the incorporation of AI in marketing brings out the best customer retention.
How does AI impacts digital marketing?
AI marketing uses predictive analysis and provides a personalized customer experience. As a result, they help target the right audience and create successful campaigns which ensure guaranteed ROI with minimum investment.
"name": "How can AI be used in marketing?",
"text": "AI is used in marketing by incorporating automation software. This software interacts with customers in real-time and can communicate seamlessly. The best example is chatbots. AI studies data, processes it and uses it to provide a personalized experience to the customers."
"name": "How is AI reshaping marketing?",
"text": "AI studies each customer individually. Then, according to their behavior and shopping patterns, it provides them suggestions. As a result, it enhances the customer experience. And when the customer feels connected to the brand, they are bound to return. Thus, the incorporation of AI in marketing brings out the best customer retention."
"name": "How does AI impacts digital marketing?",
"text": "AI marketing uses predictive analysis and provides a personalized customer experience. As a result, they help target the right audience and create successful campaigns which ensure guaranteed ROI with minimum investment."
Article | February 18, 2020
If I ask you, "What is the most popular format for microlearning?" your response would most likely be "videos." For most of us, videos have become synonymous with microlearning. Interesting videos with the right storyline, engaging graphics, and optimal speed can be a great microlearning aid. But even when they come with a lot of benefits, videos are hard to maintain and update frequently. Considering this challenge, can you think of an easier approach that can be considered for developing microlearning? Personally, I learn well through Frequently Asked Questions (FAQs). Short questions and precise answers can make learning really effective. Owing to technology advancement, we can now create chatbots to consume nuggets of information in a question-and-answer format. A learner can ask a question and get a quick short answer at the point of need. These bots can be updated easily for frequently changing content and changes can be displayed to learners immediately.