AI Application Development Services

At Oodles, we offer AI driven solutions, services, and technologies to make your applications smarter, understand your customers better, and be more customer-centric. The advanced analytics and algorithms powered by AI utilize the generated data through IoT, mobile apps, and/or the websites and enable you to make informed decisions for enhancing customer experience.

Recommendation Engine

We help you sell more online through data-powered user engagement. Our high-octane recommendation engines features enable you to capture the customer behavior and explore their preferences. This helps with recommending relevant products, improve their experience with your brand, increase footfall, and thereby bring high ROI.

Chatbot

We leverage our years of business experience and Machine Learning capabilities to create intelligent chatbots for your business. Our chatbot development services bring the tangible change a business needs by helping you reach more customers and serve them better.

Computer Vision

We let you spruce up your application with the revolutionary aspects of Computer Vision. We make use of the smart OpenCV algorithms and an across-the-board AI toolkit to provide an extraordinary user experience for the end-users.

Natural Language Processing Applications

Implement Natural Language Processing technology in your organization to derive understanding from unstructured data generated from customer conversation through social media, online and call logs.

Predictive Analytics

Our predictive analytics applications and services help you use tools and techniques to reach the customers faster. Gain the competitive edge by forecasting demand estimates, determining market size, forecasting new product growth, projecting and predicting stock prices, adopting pricing strategies, optimizing marketing campaigns, reducing risks, and preventing customer loss.

Resource Planning Solutions

Use our AI-based planning solutions to streamline the workflow of your business. Gain an efficient automated planning with our planning algorithms for explainability (autonomous driving), rapid prototyping, of-the-shelf planners, tweaking of the existing model(s), and more.

Read more at - AI Application Development Services

Impact of IOT on the Healthcare Sector

The use of IoT in the healthcare sector is growing rapidly. These devices are video cams, wireless devices, ID cards, and wristwatches. Also, IoT improves healthcare sector by automating several operations of the management; for instance, patients admissions, administrations and so forth. In Addition, numerous hospitals are using BLE (Bluetooth Low Energy) tags to track their staff. BLE tags will also help them track their inventory.

IoT’s role in Operations

Hospitals are using IoT services in operation theatres. AI enabled automated devices and robots are helping in a number of surgeries and other medical procedures. Doctors perform operations very precisely by accompanying AI enabled robots and devices. Such activities push the cut off points of laparoscopy and other medical procedures. Also, the whole operating room can be changed into a place where gadgets intercommunicate as per each other's activities.

IoT apps and devices streamline day to day activities of the medical team before and after operation. Prior to a medical surgery, doctor’s team connect patients with their AI enabled medical equipments. After analyzing patient’s reports, doctors brainstorm what medication solution they have and what specialist doctors have suggested for patients. Following the medical surgery, various IoT sensors can gather, examine and send information to eradicate postsurgical problems.

Integration of IoT and robotics enables complex operation such as remote surgery as well as simple service such as remote consultations. Hospitals are achieving high-end goals by connecting medical instruments and gadgets to the specialist via video conference. Doctors also take help from the case studies of previous medical surgeries. When these studies automatically saved on a cloud server, doctors quickly access these records for other surgeries. The advantage of IoT in medical surgeries is very important.

Information Insights

Data analytics influences every partner in the healthcare framework. Predictive Analytics equipped with big data gives deep knowledge and uncover hereditary, social or clinical determinants of patients. An effectual information-driven way to deal with medical services are better commitments, and upgraded decision making for hospital units.

Medicines Management

Medicines production and management is a multibillion-dollar industry and is one of the major expenses amongst medical services. From the production plant to the pharmacy store, IoT gadgets can guarantee adherence with all the security measures that exists on the drugs market.

End

It is too soon to analyze smart clinics and hospitals. Once completely embraced, IoT incites the accomplishment of shared objectives for every partner in medical services.

Oodles technologies, one of the best IoT service providers around the globe is known for his services. For any business specific requirement please feel free to contact us24*7.

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.

Read more at - https://www.oodlestechnologies.com/blogs/Ways-in-which-Machine-Learning-and-AI-can-improve-your--ERP

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

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

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

Behind the flourishing success of industries, Machine Learning has given an indelible contribution.

Read more info at - https://www.oodlestechnologies.com/blogs/An-Industrial-Revolution-Sparked-By-Machine-Learning

5 Best 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

Read Full Blog Here

Leading Airline Companies To Go AI Friendly

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!

You may also like How Location-Based VR Can Be A Boon For The Adrenaline Junkies.

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.

Also read AI Will Dominate The Mobile Market In 2019.

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.

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."

ALSO READ: 5 Best Artificial Intelligence Tools

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. 

Leading Airline Companies To Go AI Friendly

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!

You may also like How Location-Based VR Can Be A Boon For The Adrenaline Junkies.

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.

Also read AI Will Dominate The Mobile Market In 2019.

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.

Ethically Stepping Into The Future With AI

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.

Also read: How Artificial Intelligence is Connecting Customers To Your Brand

 

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.

Read more info at -https://www.oodlestechnologies.com/blogs/Ethically-stepping-into-the-future-with-AI

Researchers Using AI To Fight Against The ICO Frauds

Initial Coin Offering or ICO has turned out to be a game-changer when it comes to raising funds for a cryptocurrency project by means of crowdfunding. The Cryptocurrency market is a flourishing industry that is expanding exponentially. Seeing this phenomenal growth, every other person wants to invest in this transpiring domain. While most people go after trading in cryptocurrencies, there are also many who intend to build their own cryptocurrency platform. Of course, it’s going cost you a fortune and you may fall into a financial crisis unless you are very rich. Thankfully, you can leverage the benefits of crowdfunding by running ICO campaigns. However, lately, there have been many ICO-related scams and fraud attempts that questioned the authenticity of this so-called Initial Coin Offering.

As a matter of fact, there is no subtle way to know if an ICO token sale is real or fake. Most of the times, people just end up losing their money when they get into the trap. As it turns out, a team of researchers is working on making a Machine Learning based research system which could help in detecting whether an ICO is real or not.

You may also like Big Data And Artificial Intelligence For A Better Future.

Who’s Behind The Project

The project is initiated by a Chinese startup called Shannon.AI, an Artificial Intelligence-oriented company that focuses on creating smart AI algorithms to analyze and extracts the information out of various financial resources. The company is working with the researchers from Stanford, University of California Santa Barbara and the University of Michigan. Lately, Shannon.AI released a white paper describing a new AI model that will focus on tracking down the cryptocurrency scams.

How These Incidents Take Place?

As it turns out, counterfeiting websites and white papers are not as difficult as it seems. There are plenty of scammers out there who can create an exact copy of a website with almost the same URL and you can’t tell which one is fake. This how scammers target the victims who plan to participate in a token sale. This generally happens when the investors don’t spend enough time researching about the coin and end up losing their money. Since the payments are made in cryptocurrencies, you can’t even know who stealthily drained your money. The scammer doesn’t leave a stone unturned when it comes to counterfeiting. They make a fake coin look as legitimate as it can be. Consequently, it gets almost impossible to get a clear picture of the coin’s legitimacy.

Read more info at — https://www.oodlestechnologies.com/blogs

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.

Read more info at — https://www.oodlestechnologies.com/

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.

Read more info at — https://www.oodlestechnologies.com/nodejs-web-development-company