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

5 DIgital Tech Trends to watch in 2019

Technological progress has influenced the way we connect with the audiences today. The innovation of Smart technology is now influencing the growth of companies. A business with an upgraded technology progresses faster in comparison to the one which lags behind in terms of the technology.  To stay ahead of the rest in the market, companies need to follow the trends listed below. These trends will not only help in keeping them ahead of the rest in the market but will make their operations much faster and cost-effective.

Artificial Intelligence and Chatbots

Chatbots are the upcoming trend in the market. With the help of artificial intelligence, these Chatbots will be able to help companies reduce their operating cost. These Chatbots would offer suggestions to customers in real time. It also creates a human-like experience with the help of machine learning. Customers will be able to find instant solutions without having to wait for a day or two. Instant support from the chatbots will help companies improve their image in front of their customers. With this technological upgrade, customers will be able to order shoes online, make dinner reservations, pay bills, or book an appointment with the doctor. Introduction of chatbots has reduced phone queues in real time.

Trend of Smart Speakers

In digital marketing, voice search plays a very crucial role. When users type a query, they get hundreds of search results. Apple’s voice search is different from the search results of a normal browser. When a question is asked from Siri, the users get limited results. If a company expects itself to be found in these limited search results, they should tailor their SEO strategy for voice search accordingly. This voice search pattern will help improve their Click-Through-Rates (CTR) and keep them top spot in comparison to the competitors in the market.

Read more at - https://www.oodlestechnologies.com/blogs/5-DIgital-Tech-Trends-to-watch-in-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.

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

Ways through which Speech Recognition will impact human lives

Speech Recognition Services has gradually changed in the last few years and will proceed to develop and bolster new applications. We have progressed significantly from identifying discretely spoken words to persistent speech recognition, from identifying words in a little vocabulary to identifying words in an expansive vocabulary, from communicating simple instructions to expressing complicated doubts, and from talking in cautiously constrained conditions to speaking on phones in open areas. Here are a few ways that will show how speech recognition will impact our lives.

Read more info at - https://www.oodlestechnologies.com/blogs/Ways-through-which-Speech-Recognition-will-impact-human-lives

ML Is Transforming Virtual Agents Through Face Modelling

XR is a combination of the whole range of real-world experiences from the virtual world to the physical

Read more info at - https://www.oodlestechnologies.com/blogs/ML-Is-Transforming-Virtual-Agents-Through-Face-Modelling

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

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. 

Impact of Drug Pricing with 3 Breakthrough Technologies

Identifying a promising drug, its development, clinical trial, and its commercialization is a herculean task indeed. It takes years together and a huge amount of investment for a single drug to make available in the market.

Artificial Intelligence, Blockchain, and Big Data together influences the drug development process, its delivery, and thus cuts down the drug pricing.

Let us investigate how.

Blockchain, Big Data, and Artificial Intelligence are the three buzzwords in the techno-town creating revolution with a promising future in almost all industries invariably.

The pharmaceutical industry is one, where the advances in technology would help to add value to the drug supply chain, research, cost cuttings, personalized patient treatment, and, etc.

Before that, let us understand why medicines and drugs are costly?

Pharmaceutical companies readily invest billions of dollars in drugs. And, bringing these medications to the market and patients also entails the cost.

Further, the cost of drug development is also increasing the scale. It is noted that the average time for a drug to be developed and released into the market is about 15 years. The identification of a promising drug is challenging which engulfs about 4-5 years, and the remaining years for clinical trials and commercialization. Evidently, the R&D cost and commercialized molecular entities in a year do not match at all.

Moreover, the supply chains are insecure and complex, making the things further complicated. The ecosystem comprises a network of suppliers and logisticians. And, safety must be ensured by adhering to strict regulations and practices to avoid drug contamination.

Henceforth, the companies invest in RFID [Radio frequency identification], chromatography, holographic labels, and, so forth.

Unfortunately and obviously, the costs are passed on to the consumers. At this juncture, the implementation of advanced technologies holds a promising future in cutting the costs and bring down the drug prices.

Blockchain in Pharmacy:

• Blockchain has the ability to provide a decentralized, transparent, and immutable record keeping for tracing the drugs across the supply chain. A secure and trackable supply chain leads to fewer chances of counterfeiting, cut down the associated costs, and thus safer and cheaper medicine.
• It serves as a platform to share electronic health records between the organizations and research center, which speeds up the drug development process.
• It also helps in the speedier medical billing process.

Also Read: Role of Blockchain in Supply Chain Management

Big Data in Pharmacy:

• The data collected through clinical trials are easily received by the researchers and managed for further contribution in the research at the earliest phase.
• With the help of “smart contract”, the researchers are able to collect real-time data during a patient treatment.
• The patients receive payment for participation in the research.
• Big data is also used to reveal drug abuse, analyze patient’s prescription refill frequency, and any other user-related data.  
• The data capture at all stages influences the efficiency of drug development which cuts down the drug development cost.

Artificial Intelligence in Pharmacy:

It is stated that “Orion Health's Amadeus Intelligence will use machine learning models initially to predict patient costs and readmission risks, analyze clinical and financial outliers and enable accurate diagnosis coding and quality metric reporting to improve decision making at the point of care and target resources which will result in significant cost savings."

Artificial Intelligence is able to learn and discover the things at a faster rate and this knowledge could be utilized in the drug development process.

The AI programs have a marvelous increasing capacity to analyze the big data, identify the patterns, and generate the algorithms. These programs help the researchers to generate the hypotheses at a faster rate and make the drug discovery process effective and less expensive.

“One of the most widespread uses is for repurposing drugs — finding new uses for existing drugs or late-stage drug candidates. “You don’t have to repeat all the phase I testing and all the toxicology testing when you take it into another phase II trial [for] a different indication, so you can accelerate the process of medicine development quite dramatically,” explains Jackie Hunter, chief executive officer of Benevolent AI, Europe’s largest AI start-up to date.

In addition, AI analyzes the database of the electronic medical records, public health data to identify the hidden patterns leading to the potentiality of the molecular targets for a disease.

In brief, applying AI algorithms would help the researchers to quicken the drug development process influenced by the availability of clinical trial results, repurposing of drugs, and market penetration.

Key Takeaways from the Discussion:

Currently, more than 100 companies including Amazon, Google, IBM Watson and other tech-giants are investing in AI algorithms successfully.

By witnessing the advances in the varied industries, there is no doubt that these 3 breakthrough technologies would hold a promising future in cutting down the costs of the drug and make it available for all the needed patients at an economic rate leading to a better health and survival.

A simple cutline in the timeline of drug research, production and its delivery influenced by the advanced technologies wins the show and brings cost-effective medical care.

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.

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

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.

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