Artificial Intelligence is one among the trending technologies which has potential to revolutionize lifestyle and businesses, it gives the ability for machines to think and act like humans which one can exploit for addressing an existing problem or for growth.
AI Services at Mannya
We at Mannya are equipped with the next big thing in the industry, yes we can make machines think and work for you as you desire to automate complex workflows by implementing advanced neural networks. This will give you supremacy in competition and can help you indulge in things matter most to you and your organization.
We have a great team of professionals mastered in various proprietary and open source technologies of artificial intelligence who are capable of understanding the persistent issues you face and suggest and device AI powered solutions on which you can rely on to optimize and boost growth and reduce human workforce.
Artificial Intelligence Services
Migration of existing systems to AI powered systems
Natural language processing
Digital virtual assistant
Knowledge virtualization etc.
Machine Learning is a sub field of computer science and statistics that deals with systems that can learn from data, instead of follow explicitly programmed instructions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches.
Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records.
Our Goal of machine learning is to develop computer programs that can learn from experience
Train an algorithm:
Collect your data as a collection of instances
Split your data set into a training set and a testing set
Train the algorithm with the training set
Validate the results using the test set
Create a Runtime model:
During training most algorithms generate a mathematical run time model.
Model should be updated on a regular basis
And finally perform A / B Testing:
Slow integration in the main system.
If the machine is certain (enough) the machine can take over.
Deploying helps in
Find a solution for problems that are difficult to automate.
Automate repetitive tasks
Gain insights about your business.
Optimize business decisions by using our algorithms.
Internet of Things
Much of today’s interaction with connected technology happens through passive engagement. IoT introduces a new paradigm for active content, product or service engagement. IoT (Internet of Things) is an advanced automation and analytics system which exploits networking, sensing, big data, and artificial intelligence technology to deliver complete systems for a product or service. These systems allow greater transparency, control, and performance when applied to any industry or system.
IoT systems have applications across industries through their unique flexibility and ability to be Suitable in any environment. They enhance data collection, automation,operations, and much more through smart devices and powerful enabling technology.
IoT systems allow users to achieve deeper automation, analysis, and integration within a system.They improve the reach of these areas and their accuracy. IoT utilizes existing and emerging technology for sensing, networking, and robotics.
IoT exploits recent advances in software, falling hardware prices, and modern attitudes towards technology. Its new and advanced elements bring major changes in the delivery of products,goods, and services; and the social, economic, and political impact of those changes.
The most important features of IoT include artificial intelligence, connectivity, sensors and small device use.
IoT essentially makes virtually anything “smart”, meaning it enhances every aspect of life with the power of data collection, artificial intelligence algorithms, and networks.This can mean something as simple as enhancing your refrigerator and cabinets to detect when milk and your favorite cereal run low, and to then place an order with your preferred Grocer.
IoT loses its distinction without sensors. They act as defining instruments which transform IoT from a standard passive network of devices into an active system capable of real-world integration.
New enabling technologies for networking, and specifically IoT networking, mean networks are no longer exclusively tied to major providers. Networks can exist on a much smaller and cheaper scale while still being practical. IoT creates these small networks between its system devices.
Devices, as predicted, have become smaller, cheaper, and more powerful over time. IoT exploits purpose-built small devices to deliver its precision, scalability, and versatility.
The advantages of IoT span across every area of lifestyle and business. Here is a list of some of the advantages that IoT has to offer:
Design for passive use. IoT breaks it out of those spaces, and places it exactly.
Improved Customer Engagement
Enhanced Data Collection – Modern data collection suffers from its limitations and its
Engineering, Industry, and Infrastructure
Health and Medicine
Media, Marketing, & Advertising
Our goal in IoT is to deploy applications across all industries and markets and to span user groups from those who want to reduce energy use in their home to large organizations for streamlining their operations and finally we move towards the advanced automation imagined in the distant future.
Whenever you come across block chain, the first thing that comes to our mind is crypto currency. In the recent times, blockchain technology became a latest sensation in financial Industry. Here we will analyze that blockchain technology which will have an impact on the financial organization. Due to blockchain we used to create virtual currency or using decentralized network we used to recording and updating of customer identities to the clearing and settlement of lands and securities.
A blockchain is made up of two primary components: a decentralized network facilitating and verifying transactions and the immutable ledger that network maintains. Everyone in the network can see this shared transaction ledger, but there is no single point of failure from which records or digital assets can be hacked or corrupted. Because of that decentralized trust, there’s also no one organization controlling that data, be it a big bank or a tech giant like Facebook or Google. No third-parties serving as the gatekeepers of the internet. The power of blockchain’s distributed ledger technology has applications across every kind of digital record and transaction, and we’re already beginning to see major industries leaning into the shift.
How Blockchain Technology boosts the financial sector
With the block-chain technology in the financial sector, we used to easily transact between two countries by taking less time. It can execute commercial transactions and agreements between the users and remove the mediator.
Security and Reliability:
Information is not leaked or transferred to anyone, transparency of transactions and less reliability on cash due to blockchain technology there is more security between the financial organization and user.
Blockchain technology is cost-effective in the financial organization it saves the cost of checking or rechecking of transactions and allows you to trade of shares accuracy, and a shorter settlement process.
Block chain can be used for any kind of transaction
Whatever be the transaction, our blockchain technology first verifies it, then executes and records the transaction