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How Are Artificial Intelligence(AI) And Machine Learning(ML) Revamping Performance of DevOps?

AI/ML and DevOps are hot buzzwords in the tech industry right now. Moreover, more than 15 million new jobs will be created in AI-related industries. Altogether, many companies are investing heavily in these fields to bring faster, more accurate, and more efficient tech solutions to their existing problems.  

Thus, demand for artificial intelligence, machine learning, and DevOps is picking up an increased pace every hour. That's the reason the application of AI/ML in DevOps is the major center of attraction among businesses. 

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The 10 Commandments for Designing a Data Science Project

Introduction

As businesses across industries seek to improve workflows and the delivery of products and services through increased automation, there is an ever-growing demand for the adoption of more advanced data science capabilities and projects. 

Artificial intelligence and machine learning can, of course, deliver great ROI — but only under the right conditions. In every instance, a data science project must be framed in the right way, both from a business and a technical point of view. To help provide this framework, I have devised the following “10 commandments” for designing a data science project. 

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Impulsive Impact of AI and ML on Document Verification Solution

The rate at which data production is progressing is directly proportional to the human population evolving on this earth. Do you know that humans tend to produce more than 2.5 quadrillion bytes of data on a regular basis?

Hackers are unfortunately attaining benefit from this immensely produced data, due to which an increasing amount of data breaching activities are happening all across the globe. Recently in March 2021, 20 million records were breached and the number is estimated to increase in the upcoming years. This all boils us down to the reality check that it’s high time for enterprises to attain appropriate solutions to combat illegal activities.

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3 AI Trends to look for in 2021

Artificial intelligence (AI) is one of the most helpful technological advances we’ve seen in a long time. There are countless case uses that help everyone, including business owners and developers, reach their goals, and help the community. Every industry imaginable, including healthcare, has benefited from machine learning, data management, and other AI aspects. 

Every year, we see plenty of exciting pushes that lead to new breakthroughs and possibilities with AI. The end of the year is approaching fast, so we want to take a look ahead. Understanding how this technology will advance in the coming years can enable us to make smarter decisions when creating websites, building a company, or relaxing at home. 

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Teach Your Conversational AI Application to Store Information in Teneo

To be able to create a humanlike conversation there is a need to teach your virtual assistant to remember inputs that the user says, for example, the user’s name:

User: I want a small cappuccino.
Bot: Ok, what name shall I note for the order?
User: Amber.
Bot: Thanks for your order, Amber! A small cappuccino will be ready for pickup in 5 minutes.