Published on: 15 May 2017
Last Updated on: 08 August 2022
If you own a local business which serves clients at a particular address, you must seize the rare opportunity to gain a customer’s attention through using the essential local guide on cellular.
The location of an individual is the basis of ⅓ of mobile online searches, according to Search Engine Land. That’s why in general, local online searches are growing 50% faster than general mobile online searches.
Google Maps Marketing is the process of using the functions of Google Maps to make businesses easier to find. Even though it is very useful for large enterprises, it is even more essential for smaller firms.
The primary objective of Google Maps marketing is to attain the highest ranking possible in the listings of the local business page on Google Maps related to the Google search engine results pages.
Make sure to optimize the business listings, and the citations should be precise
One way to make your business easier to find on Google Maps is to go to Google My Business and have a listing for your company. It is a listing that will show up when someone looks at the search and maps results.
Google makes sure that the information you give about your company should be accurate. Google identifies your online business location and provides your listings in its results based on the presence and reliability of NAP or Name, Address, and Phone number.
You need to be very careful while providing information about your business. Provide the address, including the floor number and the street. It should appear precisely the same on your website and other directories.
Reach for customer reviews
As soon as you attain the right fundamentals, you should request the clients to leave a review. According to the study done by Search Engine Land, 72% of customers said that good reviews made them trust a local enterprise more.
The hindrance is that most consumers are more likely to post their negative online experiences rather than positive ones. The first step is to remind and encourage your customers how easy it is to provide a review on their mobile devices. You can also embed Google reviews on your website in order to motivate your audience to leave more positive feedback on your business.
Second is your need to remain on top of the reviews, with appointed customer service people in place. It is a good thing that the Google My Business dashboard enables you to view all of the recent studies efficiently and respond to them quickly.
Paid marketing method: Google Maps Ads and Local search ads
Google has previously tried ads inside maps and pressed AdWords location extensions. Google also launched new types of local search advertisements. The newly released Google Maps Ads can drive base traffic to your physical store.
But marketers and entrepreneurs should know that paid advertisements cannot cover all your organic marketing efforts since they can only intensify them. You also need to know that Google decided to display only two ads on top of the organic search results.
The results depend on the past behavior of the user and other signals which make sure that the ad spots tend to be full of relevant listings.
Another excellent feature that you can obtain from the ad is an in-store promotion. It is an area to expand promotions and discounts, attract potential customers nearby and promote visits to your store.
Search ads can produce three kinds of clicks and a perfect way to determine the triumph of your campaigns.
Mobile clicks-to-call – This mobile clicks-to-call are valuable leads, and it is up to your client’s representatives to convert them.
Get direction – It can specify how well the advertisements are driving traffic to your store.
Get location details – It is a good signal of interest in your business.
The newest Google Map ads are still rolling out to local companies. Soon enough, you can have access to them. An excellent feature is an offline map to help your clients save energy for their batteries while getting into the location.
Takeaway
Google Maps is probably one of the most useful apps by Google. Many Gold Coast and Sydney SEO experts suggest that it is better to begin your marketing on Maps by enhancing your Google My Business listings and asking consumers to leave a review to increase local guide results. And, the Google Maps Ads should roll out to AdWords account very soon.
Mashum Mollah is the feature writer of Search Engine Magazine and an SEO Analyst at Real Wealth Business. Over the last 3 years, He has successfully developed and implemented online marketing, SEO, and conversion campaigns for 50+ businesses of all sizes. He is the co-founder of Social Media Magazine.
IT has jargon that goes along with it, just like any other profession. As you become more familiar with it due to working in a professional IT setting, you will be able to better understand what is being talked about by your bosses and coworkers. With that in mind, let’s talk about seven of the most common IT buzzwords that you might encounter as you learn the ins and outs of the profession.
7 Most Popular IT Buzzwords
Net Neutrality:
You have probably heard a great deal about net neutrality in various contexts, but what exactly does it mean? Net neutrality refers to the notion that an internet provider or the government should treat all data on the internet the same way, regardless of what it contains or where it is going. The reason this matters is that without net neutrality, governments or companies can pay to prioritize their traffic.
Personalization:
Personalization in this context means customizing the information presented to the user of a product. It’s the reason that companies collect data from the people who visit their sites. Some see this practice as being useful because they enjoy targeted advertising, while others find it invasive.
Machine Learning:
Machine learning refers to artificial intelligence, as in computer programs having the ability to learn from data without being explicitly programmed to do it. The Google algorithm and its latest iteration is a perfect example of machine learning. By studying your behavior, the algorithm learns what search results you are likely to appreciate.
Artificial Intelligence:
Artificial intelligence, or AI, is a broad term that means intelligence being displayed by machines. It has long been the focus of science fiction writing going back to Isaac Asimov and other masters of the genre, who foresaw many of the scientific advancements that are becoming reality today. The ability of a machine to capture data, and to “learn” from it is seen as exciting by some people, and frightening by others.
Actionable Analysis:
Actionable analysis means the act of analyzing data which then leads a company to make decisions and take action. It is the sort of data analysis that can have real-world consequences depending on what action it leads the business in question to take.
Data Mining:
Data mining means the concept of discovering patterns from large amounts of data. Some people think that it means garnering information about individuals or groups based on their online movements, but this is incorrect.
Big Data:
Big data is a term that is often used to talk about amounts of data so massive that traditional software analysis techniques are insufficient or incapable of understanding it. This sort of data can tell companies about the people from which it was collected, but only if they know how to interpret it correctly.
There are many more buzzwords that relate to IT, and you can learn all about them if you enroll in ITProTV’s IT training courses or one of the other popular ones online. IT is a fascinating, multifaceted industry, which is why so many people are getting into it these days.
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Climate change is a big problem for our planet right now. The Earth is getting hotter, ice at the poles is melting, and we're seeing more crazy weather happening. We really need to find ways to fix this, and fast. Luckily, AI is stepping up to help out. Let's see how AI is being used to tackle different parts of this tough issue.
An AI ML Course can help you learn how to use technology to tackle climate change. With this certification, you'll understand how to apply AI tools to analyze data, predict weather patterns, optimize renewable energy systems, and develop innovative solutions to combat environmental challenges.
This knowledge and skill set will enable you to contribute effectively to efforts aimed at addressing climate change and creating a more sustainable future.
Let’s continue reading.
Understanding The Impact Of Climate Change
The weather on Earth is changing a lot because of what people are doing, like burning fossil fuels, cutting down trees, and doing industry stuff. These things let out gases that make the air warm up, which we call the greenhouse effect.
These changes are affecting everyone around the world already. It's getting warmer, which makes ice in places like the poles melt, and that raises the level of the sea, which is dangerous for places near the coast. Also, there are more extreme weather events like big storms, long dry periods, and really hot days, which hurt nature, farming, and people.
According to the Intergovernmental Panel on Climate Change (IPCC), without urgent action to reduce greenhouse gas emissions, global temperatures could rise by 1.5 to 2 degrees above pre-industrial levels by the end of the century, with catastrophic consequences for the planet.
Here are some recent data that present concerning trends regarding environmental changes:
Global temperature increase: Over the past century and a quarter, there has been a discernible uptick in the Earth's mean surface temperature, amounting to an approximate increment of 1.2 degrees Celsius.
Ice melt observation: Studies indicate a notable decrease in Arctic sea ice, with a reduction rate of approximately 12.85% per decade. This phenomenon has adverse implications for various Arctic fauna, notably polar bears, and their habitats.
Sea level elevation: Observational records demonstrate an elevation in global sea levels by around 8 inches throughout the last century. This rise poses significant threats to coastal regions, their populations, and the delicate ecosystems they harbor.
Escalation in extreme weather events: There is a discernible increase in the frequency and severity of extreme meteorological occurrences, encompassing hurricanes, droughts, and wildfires, among others. These events bear substantial repercussions on human societies and natural environments alike.
How AI Can Make A Difference
AI includes different technologies that copy how people think to study data, recognize patterns, and make decisions. Using AI for climate change can bring new ideas in areas like energy, transportation, farming, and watching the environment.
Here's how AI can make a difference:
1. Predictive Analytics
AI programs can look at lots of information to guess what the weather might do and determine what might happen more accurately. They do this by studying past weather records, pictures from satellites, and other things like that. This helps predict things like storms so people can prepare and try to stop bad things from happening.
2. Renewable Energy Optimization
Switching to cleaner energy like solar, wind, and water power is really important to reduce pollution and fight climate change. AI helps a lot in making these types of energy work better and more reliably.
For example, AI algorithms can analyze weather patterns and energy demand to optimize the operation of solar and wind farms, ensuring maximum energy production while minimizing costs and environmental impacts. Additionally, AI-powered predictive maintenance can help prevent downtime and extend the lifespan of renewable energy infrastructure.
3. Climate Modeling And Prediction
AI can help fight climate change by figuring out the weather. For instance, smart computer programs can look at tons of information from satellites, weather stations, and buoys in the ocean. They use this data to guess what the weather might be like in the future.
With these programs, scientists can learn more about why the environment is changing and what might happen next. By using AI to guess what might happen based on past records like temperature changes, rain patterns, sea levels rising, and crazy weather events, people who make decisions can plan better to stop bad things from happening.
4. Precision Agriculture
AI-powered agriculture technologies enable farmers to optimize resource usage, minimize environmental impact, and increase crop yields. AI systems can recommend precise planting schedules, optimal irrigation techniques, and personalized fertilizer applications by analyzing soil data, weather patterns, and crop characteristics. This enhances agricultural productivity and reduces water consumption, pesticide use, and greenhouse gas emissions associated with traditional farming practices.
5. Environmental Monitoring
AI-based monitoring systems can track environmental indicators, such as air quality, deforestation rates, and wildlife populations, in real-time. By analyzing satellite imagery, sensor data, and social media feeds, these systems can detect environmental threats, illegal activities, and ecosystem changes, allowing authorities to take timely action to protect biodiversity and natural habitats.
6. Climate Adaptation And Resilience
AI can also help improve adjustment and resilience to climate change. As the impacts of climate change become more severe, communities must be prepared for and respond to events such as floods, droughts, and heat waves.
Tools powered by AI can contribute to better early warning systems for extreme weather conditions, which can enable authorities to evacuate people at risk and allocate resources more efficiently. Furthermore, there are AI-supported tools for assessing risks and planning, which will help in identifying vulnerable areas and developing adaptation strategies for changing environmental situations.
7. Energy Efficiency And Conservation
Improving energy efficiency is another vital element of the climate change fight, as it lowers the demand for fossil fuels and the amount of carbon emitted. In such a case, AI technologies would be capable of assisting in uncovering possibilities to save energy for buildings, transportation, and other sectors.
An AI system analyzing data about energy consumption, equipment operation data, and environmental surroundings can detect inefficiencies and propose options to reduce energy consumption and waste. These solutions may comprise installing more efficient appliances, screening HVAC systems, or implementing smart heating and lighting solutions.
Real-World Applications Of AI To Combat Climate Change
Using AI to help fight climate change is already making a big difference in many areas:
Capturing Carbon: AI helps industries capture and store carbon dioxide underground, which helps reduce emissions.
Smart Energy Systems: AI makes energy distribution smarter by balancing how much energy is produced and used. It also helps use more renewable energy and reduces energy lost during transmission.
Money for Climate Projects: AI tools help investors find good ways to invest their money in projects that help the environment. They can also see how their investments affect the climate.
Helping in Emergencies: AI-powered drones and robots help out during disasters by finding people, checking how bad things are, and bringing help to places that need it.
The Way Forward
While AI holds immense potential in the fight against climate change, its effectiveness depends on collaboration among governments, businesses, researchers, and civil society.
Key priorities for leveraging AI include:
Data accessibility: Promoting open access to environmental data and supporting data-sharing efforts to drive AI research and development.
Ethical considerations: Addressing concerns around AI ethics, such as data privacy, algorithmic bias, and possible side effects of the technology, will foster trust and responsibility in artificial intelligence-operated systems.
Capacity building: Investing in education, training, and skills development to help enable people and organizations to use AI capabilities for climate purposes.
Policy support: Develop policies and regulations that encourage AI technologies, boost and facilitate innovation, and ensure international collaboration on climate issues.
Conclusion
Climate change is a big problem we face today. We need to act fast worldwide, in our countries, and even in our communities. AI can help us a lot. It gives us tools and technology that can help us understand climate change better. With AI, we can predict and lessen its effects. It can also help us move towards a future that's more sustainable and able to bounce back from challenges.
Using AI, we can work on the reasons behind climate change. This helps us protect the health and happiness of people now and in the future.
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Most organizations use at least some form of cloud storage, yet security issues are still a top concern. Data loss and security breaches are always in the news, with some of the most high profile data breaches to happen in 2018 so far including those that occurred at Reddit, Timehop, and FedEx.
What this shows us is that even large companies can make mistakes that seriously compromise the security of their data.
A 2017 survey conducted by Clutch revealed that while confidence in cloud storage security is high among small businesses, most are not doing enough themselves to protect their cloud storage. After all, cloud security requires involvement from the user, as well as the provider.
We go over some of the top cloud security controls your business should be using to help ensure your data is adequately protected.
Why do you need cloud security control?
Every day, sensitive information continues to fall into the wrong hands.
That’s according to Breach Level Index, as of August 2018.
While cloud computing can be great for businesses, providing several benefits such as cost savings and data portability, it does come with certain information security risks. To protect your business against vulnerabilities, you need to put specific controls and standards into place.
That’s where cloud security controls come in.
They help to address, evaluate, and implement cloud security. They can include the following types of controls.
Deterrent: These serve as a warning to potential attackers, warning of possible adverse effects if they were to proceed in their attempt, thereby helping to deter unlawful access.
Preventative: These controls strengthen the system against attacks, protecting and managing vulnerable parts of the storage.
Corrective: These help to reduce the consequences of an attack, which typically involves limiting damage. This could take place during or after the incident occurs.
Detective: These controls will identify or detect an attack, and then respond to the incident. If an attack is detected, the detective control will signal to the corrective and preventative controls in an attempt to minimize damage.
Using different types of controls will help to limit and prevent potential damage when using cloud storage solutions.
What seems to be the problem?
What businesses need to understand is that you cannot rely on your provider to do all the hard work. The issue is not that the cloud environment itself is insecure, but that customers are failing to configure their networks, applications, and data accurately.
For instance, let’s take a look at what went wrong with Timehop. On 7 July 2018, the company was affected by a significant data breach that included email addresses, names, dates of birth, and phone numbers being taken.
What was the issue? A cloud account that didn’t have multi-factor authentication.
For Reddit, although they had two-factor authentication in place, their SMS-based authentication was not as secure as it needed to be.
As for FedEx, the problem traces back to Bongo International LLC, a company bought by FedEx back in 2014, which had been storing sensitive client data on an open Amazon S3 bucket. The data had been available for public access for several years, having been collected from 2009 to 2012.
Data can be put at risk in many different ways, so it’s essential to have the proper controls in place from the start.
Find out what you are responsible for
Many cloud services will offer some level of security. What companies need to do is find out exactly what they are responsible for when it comes to securing the data that is uploaded to the cloud.
Ignorance is no excuse. Speak to your provider and find out which cloud security controls you are responsible for and what services they offer. Whatever tools are at your availability, make sure you use them all.
Ultimately, you are responsible for securing your data, so take advantage of any security tools at your disposal, then make sure you take care of the rest.
Limit cloud access
A good way to reduce risk is to limit who has access to the sensitive information you are storing. Public cloud storage resources, such as Amazon’s S3 bucket, should not allow external access. Leaving SSH open is another common mistake.
You should only allow those who must use the data directly to carry out their job to have access to the data. You can grant temporary access on an as-needed basis to any additional employees.
Make the most of the identity and access control tools used by most major cloud providers, so you always know who has access to your data.
When granting access, you have the option to limit what data someone has permission to access. Delegate appropriate permissions as needed and remove or disable accounts if an employee leaves the company.
Keep your data secure
One of the most common mistakes that companies make is to leave data unencrypted. You want to be sure that even if all other security measures fail, you have at least encrypted your data as a last measure of protection.
While some providers offer encryption, companies should still use their own encryption techniques alongside these. Your decryption keys should remain within the company so that you can maintain control over these at all times.
Learn from past mistakes
Even large companies make mistakes when it comes to cloud security.
You cannot merely rely on your provider to handle all aspects of security. Users need to ensure they are using current cloud security controls to ensure their data remains secure.
The good thing is that we can learn from others’ mistakes.
You can take extra precautions and implement certain controls and standards to improve security. Just make sure you pay attention to what is happening in the world of cloud security and update standards and controls accordingly.
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