Six Important Steps of Composing Data| Machine Learning

You may have been aware that data is the most important component for any machine learning activity. We start with data that is being fed to an algorithm that extracts patterns and important information from the data and puts it all in a model. As a result, data is the starting point for machine learning. in this blog, we tell you about six important steps of composing data for Machine Learning.

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How Algorithms Dictate Our Lives Today?|Algorithm AI

The internet has become a mob of robotic voyeurs, waiting to watch what we’ll do next, from newsfeeds to Netflix, credit ratings to bail, personality tests to insurance to wine. These days, it appears that everything is controlled by an algorithm. In this blog, we discuss how everything in today’s world is dictated by algorithms.

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Software-as-a-Service (SaaS) in Government Sector| SaaS Platforms

The many Software-as-a-Service (SaaS) platforms that enterprise corporations have utilized for nearly a decade are now being adopted by public sector organizations. Consider what it would be like if each state agency handled its own budget requests, allowing one to get a complete view of the state budgeting process from a single location. In this blog, we discuss how the public sector and governments can benefit from SaaS platforms.

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Seven Tips for a Successful Migration to Automation | Robotics Process Automation

Automation is prevalent in today’s business environment, and it has become a hot topic. Organizations can enhance the company’s response time, efficiency, accuracy, and minimize man-hours spent on tedious repetitive operations by using automation. Automation is a universal technology that may be used in any business or vertical. Read this blog,, to know seven tips for a successful automation journey.

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Cutting-Edge Technologies For the Future|Automation

If there’s one thing we’ve learned this year, it’s that no one can forecast the future. That isn’t to say we can’t make educated guesses about how we’ll be affected by today’s emerging technology and the new technologies on the horizon. In this blog, we discuss the emerging technologies for the future.

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Challenges of Artificial Intelligence | Application of AI across Industries

Artificial Intelligence is becoming more and more integrated into our daily lives. And because of this, AI is enhancing our knowledge and talents in areas such as smart driving, finding friends, selecting the ideal movie, and even cooking a healthier dinner. It also has an impact on many parts of society and industry, including scientific discoveries, healthcare, and medical diagnostics, as well as smart cities. In this blog, we discuss the various challenges Artificial Intelligence is faced with.

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THE MOST COMMON MYTHS ABOUT ADVANCED ARTIFICIAL INTELLIGENCE

The entire world is harnessing the power of AI, ever since its inception. A fascinating discussion regarding the future of artificial intelligence and what it will/should mean for humanity is happening around the world. Researchers across the globe are constantly brainstorming the role of artificial intelligence in human lives in the times to come. In this blog, we bust some common AI myths for you. Read on to find out more.

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Why is Safety of Artificial Intelligence Important? |AI Safety

What is Artificial Intelligence?

Artificial intelligence (AI) is fast evolving, from Siri to self-driving automobiles. While AI is frequently depicted in science fiction as humanoid robots, it can be referred to anything from Google’s search algorithms to IBM’s Watson to autonomous weapons. In this blog, we discuss the importance of Artificial Intelligence safety.   

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How Companies are Using Machine Learning? | Machine Learning

Machine learning has quickly gained huge popularity in the technology sphere. It is headed for a major growth explosion in the upcoming years. Back in the year 2016, Machine Learning had crossed the $1 billion mark. Experts believe that the Machine Learning market will hit $96 billion by 2025. There are numerous predictions and research analyses being carried out on the size of the Machine Learning Market. In this blog, we discuss how companies are using Machine Learning.

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