Showing posts with label machinelearning. Show all posts
Showing posts with label machinelearning. Show all posts

Friday, February 8, 2019

Ways in which Machine Learning and AI can improve your ERP




Artificial Intelligence and machine learning have the ability to restructure the world. These two areas have witnessed exponential advancement due to which companies are able to benefit the most. Improvements to the ERP software has also been made with the help of artificial intelligence and machine learning. Furthermore, machine learning is beneficial because it quickly evaluates a problem which thus results in taking necessary measures on time. With such technological advancement, it is easier for companies to prevent shutdowns or waste their resources. Let’s dig in further and know how these two technologies can help in improving your existing ERP.

Real-Time Assessing


Various business owners have been facing difficulties in choosing the right supplier. Integrating machine learning algorithms with ERP enables the owners to identify which supplier is consistent in delivering products of high quality. It helps them do an in-depth analysis of different processes so that a proper track can be maintained for upkeeping the quality.

Thursday, January 10, 2019

How To Improve Cloud ERP With AI And Machine Learning



Current ERP models are not able to deliver what they are supposed to for the growth of the company. They can be transformed by merging Machine Learning with the Cloud ERP providers. Let’s figure out how it can develop better Cloud ERP.

Read more info at - https://www.oodlestechnologies.com/blogs/How-To-Improve-Cloud-ERP-With-AI-And-Machine-Learning

Wednesday, January 9, 2019

How Deep Learning Can Help Predict Human Behavior



With the advent of Deep Learning technology, we can forecast human behavior. Today we have advanced computers, an immense amount of behavioral data, and Deep Learning technology. Let's figure out how deep learning technology is helping in forecasting human behavior!

Read more info at - https://www.oodlestechnologies.com/blogs/Deep-Learning-is-Helping-Industries-By-Forecasting-Human-Behavior

Monday, December 10, 2018

5 Best Artificial Intelligence Tools

Artificial Intelligence tools
The most trending topic of technology 2017 is undoubtedly Artificial Intelligence. Big companies like Facebook, Amazon, Google, Microsoft are investing money in this field. The most shocking thing is, smartphones are also trying to incline towards artificial intelligence. They are working hard in the research of this field. People nowadays are finding ways to make their lives easy and comfortable. AI is the only way to make this happen. Here are 5 tools for building AI algorithms

Friday, November 16, 2018

Leading Airline Companies To Go AI Friendly

AI & Aviation
The worldwide aviation industry forms a humongous network, supporting 3.6% of the world’s GDP. The number doesn’t seem quite impressive just yet? Believe it or not, this small fraction accounts for over $2.7 trillion out of which $898 billion comes from tourism. In the US alone, over $168 billion were generated by the commercial airline system in 2016. Seeing these mammoth numbers, one can figure out how vast Airline industry is. Not only that, the global airline industry generates over 10 million jobs every year, thereby contributing about $700 billion to the global GDP. As a matter of fact, the industry is still growing in massive numbers as it’s going through innumerable technological advancements.

Artificial Intelligence is one of the many technologies that is being used in the aviation industry for quite a long time now. From ground staff monitoring to flying aircraft carriers, AI is everywhere. Nevertheless, AI is finding new use cases in the Aviation industry every now and then. As it turns out, numerous Airline companies have embraced this state-of-the-art technology to improve their improve their customer services. In this blog, we have listed 3 such companies that have gone AI friendly in recent years and are likely to implement this technology in many other business operations pretty soon. So let’s get started!


Delta Airlines

Delta Airlines or simply ‘Delta’ is a prominent US-based airlines company having its headquarters in Atlanta, Georgia. In May 2017, the company announced a huge investment of over $600,000 in four of its automated self-service security kiosks. All four kiosks are powered by Artificial Intelligence and one out of these incorporates an astonishing facial recognition technology. The company installed these kiosks at St. Paul International Airport in Minneapolis. One of these kiosks makes use of a facial recognition technology to verify customer identity by matching the faces of their customers with the photos in their passport.  

 

Southwest

This yet another American Airlines company is using Machine Learning to improve its flight operations and customer services for quite a long time now. Although the company hasn’t released an official statement of it using AI and Machine Learning in its operations, there are many pieces of evidence that explicitly show that the airlines has been using machine learning techniques such as time-series analysis and pattern recognition to empower its data mining capabilities.



Air Asia

Malaysia’s low-cost aircraft carrier, Air Asia is apparently working on an AI project with Google Cloud to implement AI and Machine Learning in their business processes. The company is planning to install up to 20,000 sensors into one of its aircrafts, thereby providing better means to the aviation engineers to perform timely maintenance tasks and reduce unnecessary wastage of spare parts. If this experiment turns out to be a success, then the company is likely to implement this on a large scale in the coming months.

Monday, November 12, 2018

AI Will Create New Jobs By 2020


While we have embraced the era of artificial intelligence, we are also afraid of losing our jobs. So, the question that arises is what exactly will cause unemployment, do you think it's because of robots? Well, no, It will be because of the inability of employees to fulfill tasks with ease and in less time. A threat to jobs has increased fear, anger, and depression among the employees. But the fact is, jobs won't just disappear completely instead there will be more jobs by 2020. If we go into the figures, there were 2 million more jobs while eliminating 1.5 million jobs. 

The sectors where we will see the spike in the number of jobs are healthcare, manufacturing, education. There is no doubt that AI will ease the work of employees. Though there will be the loss of employment, the new jobs will also be created which doesn't exist yet. There will be such jobs in the future which we cannot even imagine today but those will be related to artificial intelligence. 

"We cannot deny the fact that humans are the ones that contribute to the economy, not the robots."

In this growing era of technology, the growth of AI is increasing but still, there are sectors which need more improvement and for that, there is a need for more employees. So this will in return makes more and more jobs. All countries should come together and work for a better future by using AI in the right place. 

"Artificial Intelligence should be seen as the opportunity for the new jobs and not as the threat."

Mike Rollings, once said that AI will take on repetitive and mundane tasks which will help humans a lot, but the symbiosis of humans with AI will be more nuanced and will require reinvestment and reinvention instead of simply automating existing practices," 

The Robots and the growth of artificial intelligence is eventually the blessing in disguise for every people in this world. 

Wednesday, October 31, 2018

Leading Airline Companies To Go AI Friendly

AI & Aviation
The worldwide aviation industry forms a humongous network, supporting 3.6% of the world’s GDP. The number doesn’t seem quite impressive just yet? Believe it or not, this small fraction accounts for over $2.7 trillion out of which $898 billion comes from tourism. In the US alone, over $168 billion were generated by the commercial airline system in 2016. Seeing these mammoth numbers, one can figure out how vast Airline industry is. Not only that, the global airline industry generates over 10 million jobs every year, thereby contributing about $700 billion to the global GDP. As a matter of fact, the industry is still growing in massive numbers as it’s going through innumerable technological advancements.

Artificial Intelligence is one of the many technologies that is being used in the aviation industry for quite a long time now. From ground staff monitoring to flying aircraft carriers, AI is everywhere. Nevertheless, AI is finding new use cases in the Aviation industry every now and then. As it turns out, numerous Airline companies have embraced this state-of-the-art technology to improve their improve their customer services. In this blog, we have listed 3 such companies that have gone AI friendly in recent years and are likely to implement this technology in many other business operations pretty soon. So let’s get started!


Delta Airlines

Delta Airlines or simply ‘Delta’ is a prominent US-based airlines company having its headquarters in Atlanta, Georgia. In May 2017, the company announced a huge investment of over $600,000 in four of its automated self-service security kiosks. All four kiosks are powered by Artificial Intelligence and one out of these incorporates an astonishing facial recognition technology. The company installed these kiosks at St. Paul International Airport in Minneapolis. One of these kiosks makes use of a facial recognition technology to verify customer identity by matching the faces of their customers with the photos in their passport.  

 

Southwest

This yet another American Airlines company is using Machine Learning to improve its flight operations and customer services for quite a long time now. Although the company hasn’t released an official statement of it using AI and Machine Learning in its operations, there are many pieces of evidence that explicitly show that the airlines has been using machine learning techniques such as time-series analysis and pattern recognition to empower its data mining capabilities.



Air Asia

Malaysia’s low-cost aircraft carrier, Air Asia is apparently working on an AI project with Google Cloud to implement AI and Machine Learning in their business processes. The company is planning to install up to 20,000 sensors into one of its aircrafts, thereby providing better means to the aviation engineers to perform timely maintenance tasks and reduce unnecessary wastage of spare parts. If this experiment turns out to be a success, then the company is likely to implement this on a large scale in the coming months.

Tuesday, October 9, 2018

Ethically Stepping Into The Future With AI


Ethical artificial intelligence
Almost everything today leading up to this very moment as you read this blog is a classic example of Artificial Intelligence (AI) at work. Navigating your way to work looking for the shortest route possible, or taking an Uber, ordering your food online, surfing online to landing on this page. These are the simpler instances while on the other hand, you have self-driven cars, Siri, Alexa, Cortana and now, Sophia!

AI has, no doubt, made life easy but the organizations and businesses involved in the creation and advancement of AI have been feeling the risks that it poses as well. Elon Musk, known for pioneering the highly automated Tesla, has often reiterated how the use of AI needs to be reigned in. Similarly, Google has also come up with certain AI principles to develop responsible practices while dealing with AI. In fact, more recently, a study has revealed that the increasing need to be more accountable with the use of AI is being realized making other business leaders implement better measures for the same.

 

What is this study about?

The study was conducted by SAS in collaboration with Forbes Insight, Accenture Applied Sciences, and Intel. More than 300 executives working with leading companies from around the world that are AI focused were surveyed including the chief information officers, chief technology offers, and chief analytics officers of those companies.

The study titled “AI Momentum, Maturity and Models for Success”, observed that of all the companies surveyed, 92 percent of those with a “successful” or “highly successful” deployment rate reportedly trained their technologists in ethical use and development of AI. Apart from this, almost 63 percent also had an ethics committee in place that is responsible for overseeing the use of AI. Furthermore, the report emphasized how AI has become an integral part of people’s lives directly impacting them. Therefore, underlining the need for a system to be in place for keeping a tab on the ethical use of AI.


Rumman Chowdhury, the Responsible AI Lead at Accenture Applied Intelligence while discussing the report, said, “Organizations have begun addressing concerns and aberrations that AI has been known to cause, such as biased and unfair treatment of people”. She further added, “These are positive steps; however, organizations need to move beyond directional AI ethics codes that are in the spirit of the Hippocratic Oath to ‘do no harm’.” AI can lead to undesirable consequences that can pose as a problem to people, “businesses”, and “society”. So, she emphasized the need to develop “secure”, “transparent”, “explainable” and “accountable” AI systems.

Monday, September 17, 2018

Do you know what role Machine Learning plays in different industries?






The idea of Machines learning from the past experiences has always intrigued the world and many tech enthusiasts have given up their efforts to make it happen. Machine Learning has been a crucial part of Artificial Intelligence and it deals with subjects like pattern recognition and computational learning. To say the least, Machine Learning is all about designing algorithms that enable the computer to learn from data. This further helps in making smart decisions and important predictions for the future events.
Behind the flourishing success of industries, Machine Learning has given an indelible contribution. Leading Tech giants like Microsoft, Google and Amazon are now providing cloud and web services for Machine Learning. Microsoft’s Azure platform is among the first few to offer inclusive cloud services for the Machine Learning and Predictive Analytics solutions. The Azure Machine Learning Studio is a part of Cortana Intelligence Suite, lets you publish different models as web services. It also lets you build and deploy Predictive Analytics solutions based on the data you have. The main purpose of creating the Cortana Intelligence Suite was to help customers gain easy access to Big Data Analytics and Machine Learning technologies by virtue of Cloud. Since the day of its inception, Cortana Intelligence Suit has been helping different industries in uplifting their strategies. Let’s see what role Machine Learning has to play in different industries.
Also read How Machine Learning Will Aid Neural Science.
Manufacturing
Machine Learning has greatly revamped the manufacturing process and a large number of companies are now using Machine Learning algorithms to alleviate the manufacturing process. Over the last few years, there has been a radical incline in the amounts of data being produced by the manufacturing industries on daily basis. It has further aggravated the deployment of a system that helps in processing and analyzing such massive amounts of data while learning and preparing itself for the future events all at once. That’s when Big Data and Machine Learning come to the rescue. While Big Data Analytics help in processing and analyzing massive amounts of data, Machine Learning plays a significant role in making smart decisions. Advanced techniques like Smart Manufacturing, Smart Factories and Industrie 4.0 are a few examples of Machine Learning applications.
Medical And Healthcare
Machine Learning is widely being used in healthcare and medical sciences. Some of the applications include Remote Patient Monitoring and brain signal decoding. Microsoft’s Cortana Intelligence Suite is readily being used for remote patient monitoring where the health conditions of a patient are monitored. Scientists are also finding ways to decode the electrical sensations produced in human brain to read the thoughts of human mind by means of Machine Learning. A lot of research is going on in this field and numerous experiments are being conducted.
Finance Management
A large number of financial companies and FinTech giants are also using Machine Learning techniques to boost their business and improve their user relations. In finance, Machine Learning is mainly used for the classification of financial documents, underwriting of loans, portfolio optimization and much more. Machine Learning serves as one of the key tools for financial planning and is used for making important financial decisions based on the current data. Apart from that, it is also used for determining the credit rating of a borrower by monitoring his/her transaction history. In short, Machine Learning is a crucial financial asset which greatly extenuates and streamlines the financial processes of an organization.

Monday, August 27, 2018

An Overview of IoT Blockchain and AI in Digital Transformation

Internet of Things [IoT], Blockchain, and, Artificial Intelligence [AI] are the strong drivers of an organization that are stepping into the digital transformation era.
Here is a quick rundown of these innovative technologies’ influence in businesses to bring the required competitive advantage to stay in the global market space.

Today, organizations have realized the influence of digital transformation to stay in the business. Advancement of digital space is needed in every sector not as a competitive advantage, but as a basic necessity. In fact, they are pushed to re-engineer their existing processes by using the key technologies like Big data, Analytics, Artificial Intelligence [AI], Internet of Things [IoT], Blockchain, and, etc.
Let’s understand the three driving technologies like Blockchain, Internet of Things, and, Artificial Intelligence over here.

Blockchain Technology:

The Blockchain is one of the breakthrough technologies that has already infiltrated in the transactional environment and actively wiping off the middlemen’s role. It facilitates the transaction between the businesses or the people over the Internet.
The transactions may include digital assets, codes, cryptocurrencies [Bitcoin], and, etc.
Though it was initially associated with Bitcoin and adopted by the financial institution, today we find the technology in tradings, travel insurance, logistics, energy management, data analytics, and, etc.
To be simple in describing the technology, it is akin to a ledger. It is a chain of datasets grouped into containers called the blocks. These linked blocks are secured with cryptography technologies so that the authenticated users can alone edit [only the part owned by them] and are updated as the transactions occur.
“We really see this as transformative in the same way that the Internet changed communication,” says Marie Wieck, general manager for blockchain at IBM, which has more than 1,500 staff members working on the technology.

A recent World Economic Forum report predicts that by 2025, 10 percent of GDP will be stored on blockchains or blockchain-related technology.
In India, it is anticipated that the blockchain adoption streamlines the transaction process and transform India’s economy to all good. It is high time that we embrace the technology to derive the benefits.

Artificial Intelligence [AI]:

Artificial Intelligence systems mimic the human brain to a greater extent. It utilizes the patterns to logically perceive and analyze the situation rationally.
This cognitive technology is capable of processing the data in large volumes derived from sensors, social media, applications online, and, etc. It extracts the pieces of information, assembles them, incorporates machine learning in order to make a rational and valuable decision.
In simple words, the implementation of the technology could be compared to as having a personal assistant.
Gartner says that AI technologies will be “virtually everywhere” over the next 10 years, but it will be open to the masses rather than being purely commercial.
Artificial Intelligence is getting implemented in mobile space, food industry, beverage industry, logistics, and more. It readily uses the built-in intelligent systems as in ERP solutions, predictive analysis to manage the supply chain, and, etc.
It is anticipated that the Artificial Intelligence will be used in cyber attacks, cyber security, marketing, sales, banking, healthcare, eradicate biases in the corporates sector, enhance the user experience by creating a fluid experience for the end users, and so forth.
The expectations are more and seem to be realistic amidst the challenges and assumptions that it replaces the human capital. Indeed, it will not replace the human, though the certain industry may reduce the manual work. It is there to augment the human job processes in a better manner.
In India, the 2018 budget clearly indicates the Government’s investment and promotion for research in AI and Robotics as a part of smarter ‘Digital India’ empowerment.
The AI Task force focuses on AI-led developments in the verticals like Agriculture, Education, Manufacturing, Environment, Healthcare, Financial Services, National Security and Defense, and, etc.
Uses of AI could be realized only if the employees are aware of its ecosystem apart from its functions. Fostering the culture of innovation would help the organizations to identify the solutions and utilize them for better improvement.

Internet of Things [IoT]:

The Internet of Things [IoT] connects the devices like the smartphones, wearable devices, home appliances [washing machine, refrigerator], surveillance cameras, sensors, and, etc. These are able to communicate and transfer the data without human intervention over the network.
This technology indeed is disruptive helping the human beings to manage the appliances and derive insights for business interests from the system derived data regarding products, solutions, and, other business opportunities.
In simple words, IoT is nothing but the ‘things’ that are connected to the Internet.
CXOs today have realized the business value of IoT implementation, and are aggressively planning to deploy them successfully in the next 24 months.
In India, about three-fifths of the enterprises have already deployed IoT.
If we consider the evolution of the market, IoT is getting pushed and influenced by its security, edge computing, and, blockchain.
There is an urgent need for network security and security analytics in IoT as multiple devices are getting connected. Moreover, IT is spending on edge infrastructure owing to converged IoT systems reducing the time to data evaluation. And, blockchain could be leveraged to IoT for cost cuttings, secure transactions, and diminished settlement time.

The Final Note:

It is evident that data is driving the digital world today. And, the data is influenced by not one technology alone, but a myriad of innovative technologies.
It involves the IoT, Big Data, Machine Learning, Artificial Intelligence, or the mobile devices coupled together in order to deliver supportive actions based on logical predictions.
It is important for the forward-thinking companies to determine the investment cost and its returns, have an open mindset for absorbing technologies and understand the challenges when IoT, cognitive technologies, and/or the blockchain are implemented in a real scenario.

Monday, July 23, 2018

NodeJS Web Development Company

Looking for a holistic web development solution? Welcome to Oodles, the best offshore Node.JS Web Development Company.
Node.JS is an open-source framework based on JavaScript runtime environment to execute JavaScript code server-side. It is used for building websites and web applications. This free framework can run on several platforms like Linux, Unix, Windows, Mac OS X and a few others. With the use of JavaScript, Node.js lets developers run scripts to make dynamic page content. Node.js is one of the fundamental elements of the “JavaScript everywhere” paradigm. This allows web application development to unify around a single programming language, rather than rely on a different language for writing server-side scripts. It is also a part of MEAN Stack. Its major use is in backend operations and by the Full Stack Developers.
NodeJS offers cross-platform web app development. It is capable of creating, writing, deleting, closing, reading and opening files present on the server side. Its event-driven architecture is capable of asynchronous I/O and it helps to optimize throughput and scalability in Web applications with many input/output operations, as well as for real-time Web applications. The framework supports all the prime computer platforms like Windows, Linux, and Mac OS X.
Major Advantages of using Node.JS
  • Faster code execution
  • Has an asynchronous and event-driven architecture
  • The single threaded model however highly scalable
  • No data buffer
  • The issued license under MIT license
Why Choose Oodles Technologies?
We, at Oodles Technologies, provides top-notch NodeJS Development Services. We are a leading Node.JS Web Development Company with more than 7 years of experience and we understand that every client is different with different needs. Our team of web app developers is proficient in using JavaScript as well as capable of building avant-garde websites and web applications. Our only motto is to deliver the best results to the clients and fulfill all their requirements at an affordable price. We have an extensive portfolio of clients from all over the world and excel in providing world-class web development services to our clients.

4 Programming Languages You Can Use to Create Chatbots

Choosing an AI (artificial intelligence) programming language is not difficult but it can be confusing. So, if you are one of then who gets confused to pick the right programming language for Artificial Intelligence then you have come to a right place.
1. PYTHON:
Python is one of best programming language for creating Artificial Intelligence chatbots. This object-oriented language is widely used by the developers all around the world. There is the number of reasons behind the popularity of python, such as:
  • The large variety of libraries which can be used in AI.
  • Less development time
  • Easy to write chatbots in Python
  • High-level syntax
2. JAVA:
Java is also a great choice. It is an object-oriented programming language that focuses on providing all the high-level features needed to work on AI projects, it’s portable, and it offers in-built garbage collection. Java has some amazing features for the development of AI programming chatbots. They have their own community which is there for you whenever you are stuck somewhere. It provides various features:
  • Scalability
  • Garbage collection
  • Portable
  • Easy to code algorithms
3. C++
There is no other language which can compete C++ in terms of the speed. This has become the advantage for AI. C++ is the best choice when comes to machine learning and neural network building as it is the fastest programing language in the world. Various other features of C++ over other languages are:
  • When you need high performance it is a great choice
  • Algorithms can be written extensively in C++
  • Provides high-level abstraction
  • Useful for time-sensitive projects
4. Lisp
Lisp is quite an old programming language but it is still used in developing artificial intelligence chatbots. It is used in many AI projects such as projects, such as Macsyma, DART, and CYC. various features of Lisp are:
  • Symbolic structure of Lisp makes it highly used language for creating AI chatbots.
  • automatic garbage collection
  • Easy coding