Machine Learning Advantages-Mobinius

Technology has always been surprising us with its latest trends and has now come a long way to rise ahead of its times. In the recent time ML or the best way to put is AI Machine Learning as we know has become a very strong root for Artificial Intelligence, and machine learning solutions has emerged as one of the top machine learning technologies and we all are harping on it for getting good returns. Machine Learning has been a strong focus for all the key stakeholders and more or less most of the business organizations are relying on this technology.

As we all are aware machine learning is the new tech and it is the scientific study of algorithms which the computer systems use to carry out tasks without using much clear order or processes or instructions. They rely on the patterns, results or the inferences which are detected as a use of the algorithms. Machine Learning is also considered to be one of the most important technology and tools for learning and tech advancement. This is very closely related to the field of computational stats which provides focus on predictions. When there is a huge chunk of data, we process the entire data and this is called as data mining – which is a field inside machine learning and this has its focus only on exploratory data analysis through unsupervised learning. Using this application across the business problems, machine learning is already growing high and business organizations can benefit from the same:

1. Real-Time Business Decision impact

Business organizations and firms to be precise rely on an accurate info which helps them to make the right decisions at the right time. Machine Learning allows firms to revamp their entire data sets into right knowledge and actions rightly taken on actionable intelligence. The same information can then be amalgamated to daily business processes and various operational activities to respond to the current evolving market trend which directly or indirectly affect the business situations. Due to this the firms are now taking advantage or seeking help of Machine Learning due to which they can be kept on top of competition and can take the right calculated, forecasted steps to help them be in the competition.

2. Eradicating Manual Tasks

Since automation is now the key technology, the focus is complete on machines to reduce or eradicate manual tasks which are highly predictable and repetitive. The industrial automation for most of the time as we all know remained ineffective as it did not have an alternate solution for removing some monotonous tasks. Thanks to the technology now, we are replacing the manual operations which weren’t predictable earlier. The advent of Machine Learning too has now helped the firms fill in the space of repetitive tasks, save time and in turn deliver fruitful results accordingly.

3. Improving the Security and Network Performance

We all have witnessed the cyber-attack, security threats, breaching, network intrusions and malware attacksetc which are now becoming more common as with the latest technology it has become easy to breach nay network or system. With the help of Machine Learning we can be careful where and how can we be forewarned or alerted before time. The algorithms of AI help monitor the way network behaves which in turn can help in taking pro-active measures. As the ML self-train the condition of the cyber security improves continuously, makes itself adaptable to changes and replaces the manual research and analysis to reveal the security-related insights specific to every organization’s network.

4. Better business models for sustainability

Using machine learning can be surely a better business model as many small or big business models seek secured sustainability to stay profitable. In the case of small and midsize business firms the edge comes from having different innovative products, services and business models. For eg: firms such as Uber and AirBnB using and recommend ML technology to make sure of their business models guarantying accurate results and good customer experiences.

5. Minimizing the operating expenses

Taking the example of the customer support as mentioned here is that the business organizations or firms such as large user – base or MNC’s which have to keep up with the customer demands for fast and effective customer support in response to all their queries getting sorted. But with the inception of ML most of the tasks will be performed at a lesser cost, accurately done, proper info given and without having the customers to wait in a long line either on calls or mails.

Knowing that ML is always a newer choice for any technology, we at Mobinius have been known as one of the emerging machine learning companies apart from providing the best artificial intelligence services and being the only AI company in Bangalore giving end-to-end bot framework and solutions combined with efficiency and the best tech team to work with! For more info you can write to us info@mobinius.com

How can Machine Learning help in Retail sector

With tech being more advanced and offering a new tech solution every day we have been witnessing the surge throughout the times to come.  Most of the industries are now being dependent on the upcoming trends of Machine Learning (ML) and also with the help of Artificial Intelligence (AI) being more open towards being experimented and used ahead for better development in the industries across. 

 Let’s look at what ML has to offer: 

1) Keeping track of your stock and inventory:  One of the most important elements as we all are aware when it comes to run a successful business is the proper handling of the stocks and the inventory management process in a very swift manner. With the help of ML (machine learning) it is a chance for the retailer to purchase online and offline data to help prevent the inventory needs in the real-time scenario which means - having a consolidated data as per the segmentation like – special occasions, special days, particular seasons throughout the year which witnesses a surge or a dip etc. The same info can be used for a dashboard of suggested orders for a purchasing manager. The same thing can be developed ahead by making it in the form of cameras which can detect the number of items of a specific product throughout the store, by looking at it. 

2) Understanding and predicting customer behavior: The technology has made a positive impact in analyzing the data of the customer and also helping to predict future behavior. The retailers, shopkeepers, wholesalers can use the data to understand the needs of their clients or customers by examining the price range of their earlier purchases made which will help in understanding what the customer is demanding as per his or her interest. These ML algorithms can generate some suggestions for items that can be complimentary at times and also could be a substitute for what they want. 

3) Which is a better product in the market: Machine Learning (ML) can be used to say how well a product is based on the consumption of the product. One way to predict is how the customers react to certain products or brands by either looking at it or just glancing at the products when they are walking down the store. The camera can simply gather data that can measure the interest of several products which can be used to restructure store layouts as well. 

4) Pricing effect : Organizations or firms can ensure the item is priced properly with the help of the consumer being acceptable about the products which they enjoy. The firms can take the liberty of choosing to price certain products choosing through an algorithm. These metrics could include a lot of segmentations as mentioned such as the season of the year, the availability of the products, etc. By using ML one can easily adapt to the changes in the market and also help improve the company’s ROI.  

Using such a technology one can make efficient use of ML to help grow their business and products, in turn, keeping the sector more up to date To know more about how can one make the best use of the ML in different sectors please write to us in info@mobinius.com. 

Power of Artificial Intelligence in future – Defence Technology

Technology today is becoming stronger day by day. It’s been a time of whirlwind for most of the people who adopt technology and, make use of it in the most optimum way. Referring to the same it is becoming necessary for us humans learn more about deep tech and understand how can the technology be used for the net possible use. Be it retail & e-commerce, healthcare & pharma, education, manufacturing, machinery automation, etc., AI (Artificial Intelligence) has swept off the various verticals and is slowly gaining control over the rest of the domains too. As AI (Artificial Intelligence) has already forayed into several other industries, the world seems to invest some more time and money into one of the most different types of industry – defense sectors. When did we ever imagine that we will enter this space with the help of the technology under AI? According to information by KPMG, “Intelligent automation is absolutely essential for the military,” says Ian McDonald, Director of Technology Enablement in Defense and National Security, KPMG in Australia. “They cannot operate the capabilities they currently have to their full potential without it.”  *https://home.kpmg/xx/en/home.html 

AI is becoming a part of modern warfare these days and it has been almost deployed in every military application, and the increased research and development funding which is coming from the military research agencies to develop new and advanced applications of AI (Artificial Intelligence) is projected to drive the increased adoption of AI-driven systems in the military sector. Additionally, the US DoD overall spent USD 7.4 billion on artificial intelligence, Big Data, and Cloud in the fiscal year 2017, while China is betting on AI to enhance its defense capabilities and is expected to become the world leader in this field by 2030 (2).

There are several areas in to which AI can foray as mentioned below:

1. With a modern waterfront scene we are more agile and, prepared for more strategically, planned approach with AI playing a major role in this it can be helpful by embedding AI into the other weapons and, for systems used on army, air-force and, naval bases apart from space platforms, making it more efficient and less reliable on humans.
2. Also, apart from this, we can have the robust AI systems being able to record the pattern as and when the cyberattacks happen, the same things can be recorded to understand the pattern of cyber attacks and help create tools to handle these. And this as well has been a very important part on behalf of military logistics too.
3. The most critical part of having an AI based embedded system is also to understand the various traces of malfunctioning, forecasts based on the weather, location of the enemy on the battlefield, understanding the opponent's mission approach and also suggesting some mitigation plans.
4. Knowing how the situation looks like at warfare, we have the potential to develop or integrate AI with the Robotic Surgical Systems (RSS) and Robotic Ground Platforms (RGPs) to provide remote surgical support and evacuation activities.
5. The US Navy has enlisted such companies such as Leidos, SAIC, AECOM, and Orbital ATK to support their programs, while the US Army’s programs are supported by firms including SAIC, CACI, Torch Technologies, and Millennium Engineering for combat simulation and, training.
6. Unmanned aerial vehicles (UAVs) – commonly known as drones, can be integrated with AI which can patrol border areas, look out for potential threats, and share the much-needed info about some upcoming threats and share the information about the same to the teams internally.
7.AI can also be used for a lot of chunk for data processing which will involve sharing the data for processing a large chunk of data in order to obtain valuable information.

Well as we all are aware, AU & ML together can create wonders to the world, if and if used properly & efficiently. To know more on what AI & ML have to offer for leveraging your organization, drop in your query to info@mobinius.com