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The Road to Transformation: AI in the Transportation Industry

Often, the use of advanced technologies in the transportation industry is affected by factors that are difficult to predict. This includes things like traffic, human errors, or accidents. However, artificial intelligence has taken off well in the transportation industry. AI uses observed data to make or even predict decisions appropriately. Furthermore, the use of artificial intelligence results in a significantly lower cost of labor in the transportation industry. Companies in this sector can also solve the issue of employee’s long driving hours and breaks between drives with fully automated fleets. Also, the emergence of industry-wide standards including blind-spot alert, adaptive cruise control (ACC), and advanced driver assistance systems (ADAS) would further fuel the growth of artificial intelligence in transportation.

Leading transportation services providers have started incorporating autonomous tracking and artificial intelligence into their vehicles to track potential real-time data. Want to identify lucrative technologies and processes to capitalize on to yield huge profits? Request a FREE proposal today!Request Proposal

AI in the Transportation Industry: Benefits

Public safety

Artificial intelligence helps companies in the transportation industry to ensure the safety of the public when using their services. Safety of citizens using public transport in urban areas can be improved by tracking crime data in real-time. This will also facilitate the police to increase their efficiency by patrolling and keeping the citizens safe.

Autonomous vehicles

Self-driving cars have been the new buzzword in the transportation sector in recent times. They use artificial intelligence to function and make calculated decisions on the road. Self- driving vehicles prove to be a great opportunity to reduce the number of accidents on highways and increase productivity.

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Better planning and decision-making

The road freight transport system can utilize accurate prediction techniques to forecast their volume using artificial intelligence, which simplifies the transportation company’s planning process. Additionally, several decision-making tools for transport can be designed and run using artificial intelligence. This will affect investments made by companies in the future in a productive way.

Pedestrian safety

Using artificial intelligence, the path of pedestrians or cyclists can be easily predicted, which would help in decreasing instances of traffic accidents and injuries. This will allow for more diverse transportation usage and an overall reduction in emissions.

Control traffic flow

Traffic flow has a great impact on transport. If this data is adapted for traffic management via artificial intelligence, it will result in streamlined traffic patterns and a significant reduction in congestion.  Also, real-time tracking and smarter traffic light algorithms can control higher and lower traffic patterns effectively. This technique is also effective in public transport for optimal scheduling and routing.

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AI in Food Processing: What Are the Perks?

The food industry has always been slower compared to other sectors in adopting modern technologies. But, spurred by innovative startups, artificial intelligence (AI) may prove to be the exception. For the most part, the sector is a very high volume, low margin industry. Identifying innovative and new ways to gain even the slightest increase in efficiency can make the difference between a facility turning a profit or a loss.

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Therefore, some of the largest food processing companies are turning to artificial Intelligence technologies in an attempt to improve numerous aspects of the process. Food processing basically involves sorting a large quantity of feedstock and careful inspection of the final product. It frequently requires the constant maintenance of equipment, storage, and workspaces in very specific conditions. Advanced technologies like artificial intelligence can revolutionize the way these operations are carried out.

How artificial intelligence is transforming food processing

Better sorting

Sorting is one of the most time-consuming processes for most food processing companies. Also, it is one of the most important processes. For instance, every orange, carrot, tomato, potato, apple, etc. is slightly different. A plant might need to sort millions of vegetables based on size, shape, and/or color. Earlier, a majority of the sorting had been done manually, but now, most food processing companies have embraced automation for the processes.

Furthermore, with the help of advanced technologies like AI that use cameras, Near Infra-Red (NIR) spectroscopy, x-rays, and lasers, it has become easier to measure and quickly analyze every aspect of the vegetable as it moves along. While older automatic sorting systems were just focused on sorting the bad from the good, machine learning and artificial intelligence created the capability to sort foods for their optimized use.

Improved food safety compliance

In a food plant just like in a kitchen, good personal hygiene is necessary to ensure food is safe — and the facility is compliant. Cameras installed in the kitchen or food facility ensure that employees are wearing masks or hair protection as required by safety regulations. Violations can be caught and corrected in near real time.

For example, KanKan, a subsidiary of Remark Holding recently announced a seven-figure contract with one of the largest state-owned enterprises in China to provide Shanghai’s municipal health agency with facial and object recognition. Their AI technology is currently being used in 200 restaurants and is soon expected to expand to 2,000 facilities. The system, which can be used in restaurants as well as manufacturing facilities, uses cameras to monitor workers and then employs facial-recognition and object-recognition software to determine whether workers are wearing hats and masks as required by the food safety law.

Develop new products

Food processing companies can offer an endless variety of options to customers given the different varieties of spices, flavors, and ingredients that exist. Recipes can be tweaked in an unimaginable number of ways. To decipher what exactly the customer wants is a big challenge in itself, and companies are turning to capabilities such as AI to help with that process. Food processing companies can leverage artificial intelligence to formulate new products. Wonder how?

Machine learning and predictive algorithms can be used by food processing companies to model consumer flavor preferences and predict how well they respond to new tastes. The data can be segmented into demographic groups to help companies develop new products that match the preferences of their target audience. This would help companies to predict the success rate of a new product well in advance of it being launched.

Grow better food

AI could help farmers actually grow better food by creating optimal growing conditions and monitor the effects of variables like UV light, salinity, heat, and water stress on basil. With the data, they’re developing “recipes” for the perfect crops. At the farming level, AI is also being used to detect plant diseases and pests, improve soil health, and more.

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Top 5 Smart Factory Trends in 2018

Efficiency, effectiveness, and economical. The 3 Es have guided the manufacturing industry for hundred of years and bringing about massive transformational changes. As hi-tech solution and automation pave the way in the modern economy, problems like worker fatigue and quality control will diminish. The smart factory, however, represents a leap forward from automation to a fully connected flexible system. The Industry 4.0 revolution along with IoT will enable factories to use a constant stream of data from interconnected operations and production systems to learn and adapt to new demands. The smart factory can integrate data across all the systems to drive maintenance, Request Proposalmanufacturing, digitization of operations, and inventory tracking. So what are the trends picking up in the smart factory across the world?

Industrial robotics

A new wave of factory automation is underway. Industrial robots are entering the manufacturing scene and creating value for companies. It is not uncommon to see robots outnumbering production workers in most of the smart factories today. The availability of collaborative robots has considerably reduced the overall costs and increased manufacturing flexibility for the companies.

Predictive maintenance

An unexpected breakdown can be very costly for a manufacturer and add to that the losses caused by the downtime. Smart factories enable predictive maintenance to be practiced that can alert manufacturers when parts that are prone to breakage. Many smart factories are now using IoT sensors to predict faults before they happen. The technology also has the capability to locate nearest service technician and map out the best route for the person to reach the premises.

Increasing use of AI

Artificial intelligence has been a hot topic in many industries. In a smart factory though, it plays a key role, by helping manufacturers predict demand patterns and optimally allocate resources. AI basically eliminates human guesswork and brings in cold and hard perspective of data into the equation. New cloud-based smart factory apps have emerged recently which comes embedded with AI and enables sophisticated decision science to be used to perform day-to-day work tasks.

Additive manufacturing

A lot has changed with the introduction of 3D printers. The parts once ridiculously expensive to manufacture can be done within minutes for few dollars with a 3D printer. In a smart factory, 3D printers are increasingly being used to make not only the prototypes but the final products as well. Such additive manufacturing creates an object by adding the material layer by layer as opposed to the subtractive manufacturing of drilling, cutting, and hammering materials away. Additive manufacturing opens up possibilities for mass customization from individual automobile parts to a pair of shoe.

Data visualization

Today data is easily available to managers. But how will they make sense of numbers to address issues and bottlenecks? Many inefficiencies often go unnoticed which have a dramatic effect on productivity. Graphical representation of data can help executives gain insights into challenges that lie in the production line. Data visualization assists even lower level employees to understand whats going on, and empower them to take decisions which can improve operational efficiency in a smart factory.

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Why is AI the Need of The Hour for FMCG and CPG Brands?

The recent years have seen artificial intelligence (AI) taking great strides towards conquering the world.  With self-driving cars becoming a reality, our digital moves being tracked by machine learning algorithms, and digital assistants like Siri, Google, Alexa and Cortana finding their ways into millions of homes worldwide, let us address the elephant in the room – AI has become an inevitable part of our daily lives.  If you have been following the latest retail trends, you might be well aware that AI is slowly penetrating into the retail industry in the form of self-checkout counters, customer loyalty programs, RFID to track inventory, etc.IR_Brochure

Why is AI Important for FMCG And CPG Brands?

Technology has not just made customers lazy but has also made them greedy for more comfort. But businesses have no choice but to satisfy their customer’s expectations at any cost to survive among the cut-throat competition in the market. FMCG and CPG products are inevitable items of purchase for consumers, and therefore the frequency of purchase of these items is also high. But who likes to go through monotonous grocery shopping routines and stand in long queues at supermarkets every other day right? This is where players in the retail industry can employ technology such as AI that would ensure convenience and make shopping an exciting experience for the customers. Also, the growth and wide-spread use of handheld technology such as smartphones and tablets have made it much easier for retail companies to implement these technologies into their business plan and make it more accessible for their target customers.

How is This Going to Transform the Market for FMCG and CPG Brands?

With advanced technologies like AI in place, customers as well as retailers are equally going to reap the benefits. As far as FMCG and CPG goods are concerned, most of the times customers tend to push their shopping schedules or look for alternatives due to the time and energy lost while physically making a purchase. Advance AI technologies, especially voice-activated assistants and self-checkout counters in the retail sector would mean increased ease of shopping for customers, which would eventually result in more sales and a simplified shopping experience for customers. This would ultimately result in better customer experience and higher profits.

How can FMCG and CPG Brands Use AI Technology to their Best Benefit?

Implementing AI for FMCG and CPG products is a much simpler process unlike that for bigger ticket items like a car or a TV? Wonder why? When it comes to FMCG, most of the consumers are brand loyal and prefer sticking to a single brand of a particular category of a product. Therefore, when a particular customer orders a product through a digital assistant, they just need to order by the name of the product category, e.g.: “Siri order toilet paper” and the system would automatically know from past purchase records the brand that the customer uses. Also, AI technology will make product replenishment and the supply chain more efficient for retailer companies.


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Top Five Robotic Surgery Companies Redefining the Future of Medical Surgeries

All doctors take in a lot of information about the human anatomy, diseases, surgeries, and health from books. However, when it comes to performing surgeries, books won’t be as helpful as surgical precision depends on the expertise of the medical professional performing the operation.

Robotic surgery or robot-assisted surgery allows the doctor to perform a variety of surgery with higher precision, flexibility, and control. Currently, they are widely used in minimally invasive surgery, which can significantly speed up recovery times. Robotic surgery companies are looking at innovation to extend its scope beyond minimally invasive surgeries and incorporate artificial intelligence to improve surgical efficiency.

Top Robotic Surgery Companies

Intuitive Surgical

Intuitive Surgical is an American corporation involved in the development and production of medical robots that improve the patient outcomes through minimally invasive surgeries. The most commonly known robot, da Vinci Surgical System, introduced 17 years back, is a product from Intuitive Surgical that has been used for more than three million minimally invasive procedures across various surgical specialties. The product features a high-res 3D vision system and tiny wristed instruments that have a higher degree of movement and flexibility than a human hand. As of 2017, 4,271 units of this medical robot have been installed worldwide.

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Hansen Medical

Hansen medical is one of the top robotic surgery companies based out of Silicon Valley, California. Hansen’s Magellan robotic system’s robotic catheter can navigate the peripheral vasculature and provide a channel for the placement of therapeutic devices. Magellan™ Robotic System, Auris, and Sensei X Robotic systems are two of its medical robots used in vascular and cardiac arrhythmia related surgeries.


Medrobotics is a Massachusetts-based company that recently announced a US$20 million in financing to expand into general surgery and build next-generation robotic system. Its product Flex Robotic System received FDA clearance in 2015 and allows physicians to access anatomical locations such as ear, nose, or throat with its snakelike design and 180° path.

Verb Surgical

Verb surgical is one of the most innovative robotic surgery companies in the world and was formed as a strategic partnership between Google’s Alphabet and Johnson & Johnson’s medical devices subsidiary, Ethicon. They are focusing on building a digital surgery platform that combines robotics, advanced instrumentation, advanced visualization, data analytics, and connectivity. Such robotic surgery companies bank on big data and machine learning expertise from Google to develop a digital surgical platform, which will cost less than the current medical robots.

Microbot Medical

Microbot Medical is a US-based robotic surgery company that offers nanobot technology (ViRob and TipCAT) to assist in surgeries. One of its platform, ViRob, is capable of crawling and navigating through blood vessels, digestive tract, and the respiratory system. Such abilities enable it to treat hydrocephalus, water in the brain disease, successfully.

To know more about the top robotic surgery companies, medical robots, healthcare companies in robotics, minimally invasive surgeries, and surgical robots, request more information.

Powering Financial Services with Artificial Intelligence

Just when we thought that technology had touched all the relevant areas of financial services, comes the news on how artificial intelligence (AI) can replace humans in the capital market. Now AI is not something new in the financial sector – in fact, its roots can be traced back to the 50s and 60s when the financial industry was on the path of technical evolution. For instance, banking sector adopted AI for better synchronization and processing of data, customer personalization, as well as pattern identification. But with speculations on how AI can replace humans in investment banking, it seems the scope of its application seems to be expanding at an unfathomable rate.

Financial services and artificial intelligence

Easy and seamless customer experience is the goal of all financial organizations. And this is the tipping point for innovative use of technology in almost every aspect of the financial dealing. Right from providing relevant products to customers, to better risk management, and regulatory compliance – AI covers everything in one clear shot.

So much is the relevance of AI in the financial industry that several major financial institutions have allocated a good part of their budget to AI. There is a long list of organizations which are still catching up with technology through the adoption of cloud computing, big data, and open-source software. Thus, eventually, all financial institutions will find a place in the AI net, transforming the way in which business is conducted.

At the same time care needs to be taken that AI has different applications for different financial verticals. It surely does not work on the ‘one size fits all’ theory. Thus, while on the one hand it might be used for improved data processing only, there are many who regard AI as the key to error-less algorithm analysis. One of the best analogies for this is, how just 26% of asset and wealth management companies are dependent on machine algorithms. But in the case of the insurance industry, AI is used by more than 50% of the organizations.

The way ahead – Infiniti Advantage

Automation of work process is perhaps one of the most fool-proof ways through which better results can be gained with a smaller amount of investment. Especially in an area like capital market, where the stakes are rather high, AI is poised to bring structure to the chaos. At the same time, there is a fair amount of apprehension on AI’s operating process – which brings us to the conclusion that AI should be seen more as a collaborative initiative rather than just being a technology vending out standard solutions.


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