Month: September 2021

Categories
Machine Learning

7 Best Reasons Why Brands needs Machine Learning in their Business

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Machine learning is one of the most interesting new development in the field of technology. Most importantly machine learning and artificial intelligence systems train themselves on their own. It might sound like the beginning of a sci-fi horror story however; it seems quite promising for almost all in the industrial sector today.

Machine learning empowers business owners and entrepreneurs to do more in less time and helps to focus on the market for better results. Not sure how ML can benefit?

Check out why most business leaders are enthusiastic about adopting Artificial Intelligence and Machine Learning as one of their primary plans:

  1. Automates your task

Machine learning can be useful for you and effectively fill in for an IT team member. Amazing right? Machine learning can easily take up your routine works such as auditing, security, monitoring, classification, and discovery, reporting data, and more. Hence, your team would be able to focus on various other strategical tasks and help grow your business seamlessly.

2. Help in attaining maximum efficiency

you can begin with looking at your organization and identify areas where you have massive data set and where you can apply machine learning for tracking information and help your business attain maximum efficiency. There you can remove the unwanted touchpoint and other manual works. This could also help your team with better decision-making with the effective utilization of machine learning.

3. Help you to do more with less

Machine Learning could easily help business owners by allowing them to change their operational models via cheap predictions.ML enables you to drive down their cost of prediction that is deep-rooted in almost all kinds of business decisions. Also, the previous revenue growth might have the variable cost associated as more decisions are required. And ML could be applied for helping the businesses grow.

4. Enhances your personalization game

Starting from Google to Facebook, machine learning and AI are allowing business owners to spend their ad budgets wisely. At present, AI-driven targeting and insights sideline the guesswork and enable the marketers with the best audience enrichment reports ever. AI strategies help them reach their best with effective data in place.

5. Effective customer engagement

Machine learning is one of the smarter ways to engage your potential clients that helps in saving your employees time and helps you collect valuable data. Brands could easily collect valuable data and use it for sending relevant offers and messages for saving time as well as ad budget.

6. Helps you predict the future market

When AI is deployed to a business, it can be used for predicting the market which is constantly fluctuating. AI could be probably utilized by potential key partners for strengthening your positions and allows you to identify new threats. From an IP point of view, machine learning could also be used for recommending IP to license or defend your position and attack the competition.

7. Detect the latest trends

One of the best Machine Learning benefits is allowing the brands to identify the trends in massive data that are hardly visible. For instance, multiple companies talk about trying to reduce bias in their recruiting processes. Hence feeding all kinds of hiring data into an ML algorithm could throw a perfect picture of the level of biasedness in the process.  

Conclusion:

Today Machine Learning and Artificial Intelligence has become a way of life for most of the prominent sectors. However, all businesses are not able to make the most use of it due to limited resources, unavailability of technological advances, and more.

Data Labeler helps you with accurate, convenient, personalized, and quality-labeled datasets for your various Machine Learning and Artificial Intelligence initiatives or projects. So, you could focus on your core areas seamlessly. Contact us now for more information – sales@datalabeler.com

Categories
Artificial Intelligence

Artificial Intelligence is responsible for reviving the job market

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As Robotics and Artificial Intelligence industries are thriving, people are worried about how many jobs might be automated in the process. However, people have hardly noticed that how artificial intelligence is reviving the job market and creating more jobs in the industrial sectors. AI is creating millions of jobs on a large scale today. Artificial intelligence is responsible for creating various kinds of jobs around the world and AI brands are finding ways to employ people in lesser developed countries to create a positive social impact as well as creating profit at the same time.

You must be thinking how is that possible well it is very much possible with providing a significant number of remote jobs around the globe.

Here’s how AI creating millions of jobs around the world:

There are always two sides to every case, isn’t it? Over here one side is the fear of Artificial Intelligence cutting the jobs and the other is the crucial development of AI through Data Creation and Data Annotation. The ability of Artificial Intelligence comes from data.

For example: identifying cars from an image or understand a human speech is something that the technology learns from the data. Typically, artificial intelligence technologies are built for mimicking a human. Hence, AI should learn from humans which are known as automated data. The data is often referred to as training data.

This data helps the AI algorithms to learn and to perform relevantly. For instance, a chatbot can be trained with the customer service email histories or an autonomous vehicle to be trained from the ground realities of the traffic images, traffic lights, vehicles, pedestrians, etc. The task of labeling audio, images, text, or other forms of data is generally done by humans. A human should have a good look at each piece of the data and label it according to the need of the project. In this way, massive job demands are rising in the artificial intelligence sector.

When we think about Annotating data, it’s not just about a few hundred images or words, an AI algorithm requires millions of data to perform and generalize proportionately. Hence, it means millions of cats need to be labeled in order to be transcribed.

As a result, as more annotation projects and AI brands are coming up it requires a whole lot of contributors too.

Next, you might be wondering where you can find these jobs?

Today many tech companies are looking for people to take off a load of their annotation task. And this is how a complete market of aI training data has taken birth. There are various Data Annotation Companies around the globe that caters to a variety of services and annotation tools. And the best part of this data annotation job is that these tasks could be easily completed remotely. With just a decent internet connection and a computer.

And if you are also looking for a job in Data Annotation, few companies are open for upcoming talents to join them:

  • Data Labeler
  • Lionbridge AI
  • Appen
  • CloudFactory
  • Figure Eight and more

The Data Annotation Market continues to grow and new technologies continue to burgeon we might also see various other new markets in your future.

About Us:

We at Data Labeler believe in providing jobs to underserved communities and make them financially independent. We are on a mission to help them earn a living through the major changes brought by AI and empowering businesses all over the world.

Increase your competitive advantage with unlimited support and exponential growth through our Data Annotation Services.

Contact us at sales@datalabeler.com

Categories
Machine Learning

Machine Learning applications in everyday life

Data labeler - machine learning application

Undoubtedly Machine Learning, as well as artificial intelligence, have significantly changed our world in the last few decades. Today it seems to be a breakthrough on how ML and AI applications are utilized for positive development to the point that it is hardly recognizable whether it is real or only being sensationalized. As Machine Learning and artificial intelligence are mimicking our brains, reading our minds or driving our cars there is a very thin difference lies between reality and smart applications.

Let’s dive deep and discuss the top four Machine Learning applications in everyday life:

Here are a few of the interesting and amazing ways how Machine Learning is impacting our everyday lives.

  1. Making your mind on what to eat

Dine-in check it out? Chinese? What do you feel like eating today? Fortunately, Machine Learning can help you make this decision and find exactly what are you looking for. These simple forms of technology already exist in various restaurants review apps, maps, food delivery services that track what kind of food you might like to eat at what time of the week. They also make predictions about what you might need at your location, time of the day, history etc.

Eventually, this data is compiled and based on the reviews on various food sites. And text analysis is performed to find out that what kind of rice or noodles is popular in those regions. Hence, by combining all of this analysis with brands, regions and other ratings, smart applications of Machine Learning are advising you with the best variety of noodles you are looking for. Technology has improvised your life as well as your decisions just by analysing a few of the parameters like region, ratings or dining histories and more.

2. Moderating Social Media

You might be aware that one of the brand leaders like Facebook, has already turned to artificial intelligence for keeping its platform in check and also helping its people to the fullest. Artificial intelligence they have developed is playing a crucial role of human moderators today.

Facebook algorithm is already trained to recognize fact-check misinformation as well as its pictures. Also, a few of the prime features identify duplicate images that are often circulated by bots as Meme or infographics for trolling. This Machine Learning application has helped various social media platforms mitigate the risk of circulating false information and images that are often utilized for nefarious purposes. 

Hence, today artificial intelligence can detect any post which is similar or not the same as the banned content. In this way, Machine Learning applications today is making the work of the moderators easy to police the social media platforms.

3. To help fight Covid-19

Almost all industries starting from automotive manufacturers to retailers everyone has stepped up to help and contribute to get over the current crisis and the data science community is no exception here. Learning is completely instrumental in projecting and tracking the spread of the virus and, now that has helped in slowing down the spread as well.

Various stores and workplaces that are re-opening have integrated multiple Machine Learning algorithms that ensure employees and customers are safe in the environment. The existing security cameras are being equipped with artificial intelligence technologies that inform the managers when people are not properly maintaining social distancing or wearing masks in the office space.

Though few of the technologies already existed, AI and ML has advanced this technology by monitoring the safety gears for the safety measures if properly followed or not in various working environments which further helps in reducing the spread of the virus.

4. Helping in better translation

There must have been times when you have pulled out your phone for translating a phrase that you might not understand. You might have also searched on how to pronounce a word in the right way. Are you aware that translation and speech technology are nothing new and are available for years now?

Hence translating to related model languages is one thing and translating a 2500-year-old hand-carved language into modern English is the pain and that might be time-consuming as well as a task of an expert archaeologist. But with a touch of AI-powered computer vision can make this possible and automatic at the same time today as various ancient Persian cuneiform are translated by researchers with the help of which also ensure accuracy. Hence, this technology just does not work on ancient tablets but, this language could be translated even handwritten into cursive through a computer vision model.

Through the above-mentioned ways, ML has entered our daily lives and made it easy for us and some of us have might not notice it also. These are just a few examples of how Machine Learning got entwined in our daily lives and there will be even more in near future.

About Us:

Data Labeler offers excellent data labeling services for Machine Learning and AI projects. We offer quality-labeled, convenient and customized datasets which increases your competitive advantage and growth. Are you looking for data annotation services, contact us now – sales@datalabeler.com