Artificial intelligence & MarkLogic


Automation is a crucial part of the Artificial Intelligence cycle. It allows organizations to perform tasks that require human input and improves tradecraft. This also increases efficiency in order to keep pace with changing technologies and requirements. And MarkLogic is providing some extra benefits in implementing AI processes. MarkLogic has its own optimized algorithms and implementations of some AI methodologies. Achieved due to its internal Data storing mechanism and Implementation. We see how Artificial Intelligence & MarkLogic are Wonderful Architecture together.


This is the use of software to perform tasks that would otherwise be done by humans. The benefits include:

  • Increased efficiency and productivity
  • Increased quality, safety, and security
  • Reduced costs through reduced error rates, decreased training time, and fewer errors made during production or delivery cycle times. Sometimes automation involves human-machine interaction, as in a robot arm that picks up parts from a factory floor; other times it may involve no direct human control at all (e.g., automatic checkout systems).

Improved Tradecraft

  • Increased time to focus on the mission.
  • More time to focus on the customer.
  • More time to focus on people, including your team members, fellow analysts, and partners.
  • Increased efficiency and accuracy of the intelligence cycle by having a better knowledge of what’s happening in your environment so you can make faster decisions about how best to proceed with your workflows or activities (e.g., whether or not it’s worth investing more resources into a particular project).

Mission Focus

MarkLogic is a proven technology that has been used in mission-critical environments for many years. It’s also one of the most widely deployed and trusted enterprise data management products on the market.

MarkLogic provides an open, secure platform for integrating, managing, and analyzing large amounts of structured data — including unstructured information such as text files, documents, emails, and images – across heterogeneous systems and environments. MarkLogic’s flexible design allows you to easily build your own applications (such as CRM applications) on top of our platform — without having to worry about writing code!

Increased Efficiency

The increased speed of the intelligence cycle allows you to be more efficient, especially in regard to training. This can allow you to increase your training budget and spend more time on analysis and research instead of man hours!

The ability to analyze large amounts of data has also led MarkLogic developers down a path where they now have an increased focus on mission planning and execution as well.

Proven Technology

MarkLogic is a proven technology for storing and querying unstructured data. MarkLogic has been used in many high-profile projects including the Olympics and the NFL, by government agencies like the FBI, CIA, and NASA.

MarkLogic’s proven record of success can be attributed to its ability to handle large volumes of structured or unstructured data with ease. It also benefits from a unique database architecture that supports high-performance queries on both structured and unstructured sources.


Artificial Intelligence and MarkLogic have been proven to provide:

  • Increased speed, quality, and accuracy of the intelligence cycle.
  • Improved tradecraft through automation of repetitive tasks, such as data preparation and reporting.
  • Mission focus on improved efficiency from a single source for all your data needs.

Positive of an Automation Infrastructure

An automation infrastructure is a foundation on which your organization can build an effective AI solution. It provides a framework that helps you automate processes, automate data, and integrate with other technologies.

It can help organizations save time and effort by automating repetitive tasks, thereby freeing up people to focus on more important work. You’ll also see improvements in accuracy as well as consistency across different systems—allowing for faster decision-making, increased efficiency, and improved customer service levels.

Difficulties of Performing Automation Tasks

  • Automation is not a silver bullet.
  • Automation can be difficult to implement and maintain, especially when it comes to integrating with other systems that have been developed using different technologies.

Increased speed, quality, and accuracy of the intelligence cycle.

AI can speed up the intelligence cycle, increase the quality of the intelligence cycle, and improve accuracy. AI can also increase efficiency within an organization by automating repetitive processes that would otherwise be handled by humans.


The benefit of automation is that it reduces the amount of manual work and makes your business more efficient. It also helps you to focus on what’s important, rather than spending time dealing with mundane tasks. In addition, automated processes are more reliable and have less risk than human ones as they don’t require any human interaction. Thus we can say that Artificial Intelligence & MarkLogic is a Wonderful Architecture to achieve great AI performance.

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References :
1) enduring intelligence automation
2) Sample read-only document

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Artificial intelligence & MarkLogic
Ananya Gupta

Ananya Gupta


Start a Career in Machine Learning and Artificial Intelligence

Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the standard jokes about computers taking up the planet.

The AI Career Landscape
AI is returning more traction lately due to recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a short time now due to the growing adoption of the technology across industries and therefore the need for trained professionals to try to to the roles created by this growth.

AI and Machine Learning Explained
If you’re new to the sector, you would possibly be wondering, just what’s AI then? AI is how we make intelligent machines. It’s software that learns almost like how humans learn, mimicking human learning so it can take over a number of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning may be a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning join online machine learning course, which is that the process by which learn Artificial Intelligence course now!

The Three Main Stages of AI
AI is rapidly evolving, which is one reason why a career in AI offers such a lot potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:

Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to find out from experience.
Stage two is machine intelligence - Which is where our current AI technology resides now. during this stage, machines learn from experience supported false algorithms. it’s a more evolved sort of machine learning, with improved cognitive abilities.
Stage three is machine consciousness - this is often when systems can do self-learning from experience with none external data. Siri is an example of machine consciousness.

Subsets of Machine Learning

Neural Networks
Natural Language Processing (NLP)
Deep Learning

How to start in AI?
If you’re intrigued by this career field and wondering the way to start , Van Loon described the training paths for 3 differing types of professionals; those new the sector , programmers, and people already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the maths and computing skills needed.

Specific Jobs in AI

  • Machine Learning Researchers
  • AI Engineer
  • Data Mining and Analysis
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence (BI) Developer

The Future of AI

As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of those growing technologies and hands-on experience.If you would like to be one among those professionals, get certified, because the earlier you get your training started, the earlier you’ll be working during this exciting and rapidly changing field.CETPA provides Graduate program will assist you substitute the gang and grow your career in thriving fields like AI , Machine Learning, and Deep Learning.

If you’re curious about becoming an AI expert then we’ve just the proper guide for you. the synthetic Intelligence Career Guide will offer you insights into the foremost trending technologies, the highest companies that are hiring, the talents required to jumpstart your career within the thriving field of AI, and offers you a customized roadmap to becoming a successful AI expert.

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Ananya Gupta

Ananya Gupta


7 Ways Artificial Intelligence Can Help Make Your Time at Home

Artificial Intelligence enhances the speed, precision, and effectiveness of human efforts. In financial institutions, AI techniques are often wont to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, also as automate manually intense data management tasks.

AI would have a coffee error rate compared to humans if coded properly. they might have incredible precision, accuracy, and speed. they will not be suffering from hostile environments, thus ready to complete dangerous tasks, explore in space, and endure problems that might injure or kill us.

1. AI goes to show your kitchen into a Michelin star restaurant
Smart kitchen appliances and smart speakers are making their way into kitchens all around the world. you’ll even have one now. Whether it is a coffee machine or an oven, these tools are evolving, learning your schedules and patterns so that they will provide you with warm food, coffee, etc. However, this is often just the start.

Your new smart fridge could also be ready to track when food is low and place orders for you when food is low. Or, better yet, AI might be wont to assist you to create the right meal with just the ingredients you’ve got within the refrigerator. Utilizing AI technologies with gastronomical learning, companies like Plant Jammer and Chefling are helping people create delicious food with the ingredients they need available. Currently, Facebook has developed an image-to-recipe generation system that permits users to reverse engineer a recipe by only taking an image of the dish.

2. The way you experience entertainment will change

Google Assistant, Cortana, and Alexa have already infiltrated your home, impacting the way you interact together with your TV and streaming services, allowing you to voice control almost everything; slowly making remotes obsolete. almost like the kitchen example, these devices are learning your watching habits, eventually directing you on what to observe. However, it’s getting to go much further.

3.You’re getting to have tons more fun together with your games

You may be proud of the gaming industry, or perhaps you wish to ascertain some major changes. Though a touch slower on the buyer side, there’s a change coming to the gaming industry, change driven by AI. Developers are using AI to make more immersive and realistic experiences, even within a fantasy world.
AI will better help developers create games that change on the fly, adapting to your gameplay. Even more so, if you’ve got old games that you simply would like remastered, AI is additionally getting used to enhance the general look of classic games. Finally, while reception, expect customized gaming experiences. If you want to learn AI and work practically then join the best Artificial Intelligence Training Institute in Noida and improve your skills now.

4. You’ll have your own Alfred soon

Maybe you usually wanted to possess a Jarvis AI system like Tony Stark? Or, perhaps you would like to travel the more traditional route and obtain yourself a loyal butler-like Alfred. Whichever the case, AI could make this possible via robotics. the world of robot personal assistants is an industry growing rapidly. Though some would simply dub the present models as just smart speakers with wheels, many of those current robotic personal assistants offer tons of impressive features. Soon, you would possibly have something that appears tons less like Wall-E and more just like the robots in iRobot

Robots like Jib are a little example of the approaching future. The social robot looks around, learning about you and your home. He even has an “expressive face.” He can even take pictures of you and share them on social media.

5. Enhanced health and fitness reception
Being able to watch patient’s reception with real-time data remotely, effectively, might be revolutionary. Going far beyond the Apple watch that you simply wear your wrist immediately, healthcare professionals could tap into the predictive powers of AI to work outpatients who are potentially in danger of disease or injury. This can give doctors tons more power but could alleviate a number of the pressure placed on the healthcare systems during flu season, saving lives. Companies like Gyant, Medopad, and Chonisense Medical are utilizing current AI technologies to seem after the elderly and chronic patients.

6. Your home will become more environmentally friendly
As humans, there’s no denying it; we will be wasteful, especially in our homes. However, having more control and knowledge of our waste and energy consumption could help us become more environmentally friendly, saving you money within the long-term. Though already available in some places across the planet, with products to get, AI energy-saving systems have yet to be fully adopted.

7. Your home is going to be ready to fix itself

The idea isn’t too far away. And, let’s agree home projects aren’t always the foremost exciting. Even more so, when something breaks in your home, you would like to repair it as soon as possible. a bit like a sensible medical device, homes are going to be ready to run self-diagnostics predicting potential issues before they occur, contacting the acceptable repairman, who may very well be a robot.

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Orlo  Gottlieb

Orlo Gottlieb


How Artificial Intelligence Is Reshaping the IT Industry

Artificial Intelligence has powerfully penetrated the way we live. It doesn’t only change the way we work but also reshaped how we used to live. Speaking of AI, it is one of the most interesting technologies that we’ve ever encountered.

Without a doubt, AI is contributing a lot in boosting business and IT productivity. Therefore, in this blog, I will highlight important insights on how AI is reshaping IT. Before digging deeper into details, let’s start with some basics on AI and how it works.

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Artificial Intelligence Development Company | AI App Development Solutions

Artificial Intelligence Development Company

One technology that would rule the 21st century in terms of its use is Artificial Intelligence (AI). It is a self-learning machine that uses its experiences to correct itself for delivering better results to the user in every aspect of life.

Want to develop a tool that works on artificial intelligence?

WebClues Infotech with a team that is skilled in the latest technologies is the agency that has the capability to develop a successful AI System. With a presence in 5 continents across the globe and 120+ skilled team members can be your go-to developers for your AI needs.

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Archie  Powell

Archie Powell


A Brief Intro to Propositional Logic as the Foundation of Artificial Intelligence

Propositional logic in Artificial Intelligence is one of the many methods of how knowledge is represented to a machine so that its automatic learning capacity can be enhanced. Machine Learning (ML) and Knowledge Representation and Logic (KR&R) are imperative for building smart machines that can perform tasks that typically require human intelligence.

Propositional Logic is the Foundation of Artificial Intelligence

If we want a machine to be intelligent enough to have a dialogue with us in natural language or do complex tasks like diagnosing a medical condition, or any problem-solving and decision making, then first the machine needs to become knowledgeable about the real word. Machine learning enables a machine to grow knowledgeable through automatic and experience-based learning without being explicitly programmed.

But the ability of automatic learning is feasible only if the machine can rightly interpret the information of our real world. However, a machine can’t understand our language, so the knowledge of the real world needs to be represented to the machine in the right manner that is readable to a computer system. Propositional logic is one of the simplest methods of knowledge representation to a machine.

The Basic Idea of Propositional Logic

Proposition means sentences. Propositional logic applies the Boolean logic to convert our real-world data into a format that is readable to the computer. For instance, if we say ‘It is hot and humid today’, the machine won’t understand. But if we can create propositional logic for this sentence, then, we can make the machine-read, and interpret our message.

Derived from Boolean logic, the heart of propositional logic is the idea that the final output (meaning) of all propositions are either true or false. It can’t be both.

For example, ‘Earth is round’, the output for this proposition is TRUE. If we say, ‘Earth is square’, then the output is FALSE. Propositional logic applies to those sentences where the output can only be either TRUE or FALSE. But if we refer to the sentence like ‘Some children are lazy’ then here we have two possible outputs. This preposition is TRUE for those children who are lazy, but it is FALSE for those children who are not lazy. So, for such sentences/propositions where two or more outputs are possible, propositional logic doesn’t apply.

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