Machine Learning & AI

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Automated Machine Learning: A new Paradigm

Automated Machine Learning or AutoML has emerged as an exciting new branch of AI/ Machine Learning. Existing Machine Learning algorithms require a certain amount of pre-processing of the dataset to make it suitable for machine learning and this requires considerable expertise and knowledge of ML. AutoML helps automate this process. In essence, AutoML is the process of automating automation. Not only does AutoML help expedite the process of creating AI solutions, it also helps create superior solutions.

What is Machine Learning bias and how to overcome it?

Machine learning (ML) has emerged as a popular and effective AI learning technique. This isn’t surprising, given its remarkable ability to sift through humongous volumes of data and find patterns that are simply not obvious to humans. What is even more remarkable is its ability to learn from data over time and to deliver extremely accurate insights and predictions.

How AI augments Retail outcomes

One of the biggest outcomes of the digital revolution has been the overwhelming amounts of data being produced every single day. Estimates suggest that 2.5 quintillion bytes of data is being generated each day. With greater digitization and the proliferation of IoT based devices, this number is set to grow.

Healthcare decides better with NLP

It is not a surprise that the amount of data that is being generated in the world has been growing exponentially. Some studies suggest that we are generating a massive 2.5 quintillion bytes of data each day and this volume is set to grow higher with the proliferation of trends such as the Internet of Things (IoT).

NLG: A single para worth a 1000 in Pharma

Today’s industries are storehouses of data. Though big data is valuable, what we have is overflowing data with no real insight. Gathering actionable, data-driven findings that create business value is a herculean task for any industry and it is even more challenging for the pharmaceutical industry. This is due to availability of excessive amounts of data coupled with stringent national and international regulations.

Accelerate Your Sales Results with Machine Intelligence

Ever bought a product or a vacation, and it seemed to suddenly pop up on your search page or in your email inbox? If you said yes, then that’s an ML algorithm at work, monitoring your online activity and making relevant recommendations. With AI becoming an everyday reality, the role of sales teams is constantly changing. A Harvard Business Review study found that sales teams that adopted AI saw more than 50% increase in leads and appointments, cost reductions of 40%–60%, and call time reductions of 60%–70%.

AI’s Potential in Changing the Workforce

Talking about the future without artificial intelligence is impossible.

After the paradigm-shift in our work culture due to Big Data and the Internet of Things (IoT) transforming everyday devices into smarter ones, AI is now making analytics even more efficient and productive.

Data volumes are exploding and there is more data created in the past two years than in the entire history of the human race. By 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet.

The Emergence of Voice Search

The growth of voice search has been exponential in recent years. There is no doubt about the fact that technology is changing and our interaction with the internet is also transforming.

From small-tail keywords to long-tail ones, we are now moving towards ‘voice’. You can now pick up an iPhone and ask “Siri” to play a song of your choice or even shout, “Hey Alexa” to find Italian recipes for your next feast. There’s a growing tendency among users to rely on voice command or digital assistants to find answers.

WHY ARE DATA SCIENTISTS CRUCIAL FOR AI?

Today, we are talking about the impact of artificial intelligence (AI) – positive or negative – and how it will surpass the human workforce.

The possibilities of AI are numerous but everything depends on big data. Big data is still as relevant as it was 10 years ago as it is still underutilized.

In the world of science fiction, AI systems often overpower human civilization. Similarly, artificial intelligence is already predominant in the real-world around us. Think about Google, Facebook, and Amazon who are changing the game with AI discoveries.

Why is AI powered Customer Engagement a must now?

In 2017, Aeromexico launched a customized AI system, a neural network that was built on the foundation of machine learning.

At the Facebook’s F8 Global Conference, the company announced that it went from zero to 96% automation of its customer service function and that its AI-powered platform, which learns as it goes by scanning and analyzing previous customer service transcripts, reduced the average customer service resolution time from an average of 16 minutes to just 2 minutes.

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Lymbyc, a leading edge innovator in AI and Machine Learning takes inspiration from the “Limbic” brain — the part that stores, dissects, rationalizes and generates memories and actions. That’s exactly what we do — giving business users the power of a virtual analyst that is intuitive, actionable and context driven to answer all their business queries

 

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