by Anika D | Jan 3, 2022 | Artificial Intelligence, Machine Learning
The capabilities of machine learning increasingly influence the world. Machine learning is expanding the boundaries of what was once thought to be possible. It has permeated our daily lives through the apps we use to automate our daily schedule.
Machine Learning is a big part of pulling information from datasets. Thanks to the volume of data the algorithm is exposed to, they’re used in predicting patterns. This algorithm identifies emerging trends and translates data into consumers’ behavior information.
Let’s look at five real-world examples of machine learning in 2021.
Product Recommendations
This is the easily identifiable element of machine learning. If you’ve used Netflix, then you’re aware of the ‘Since you’ve watched ***’ feature. The Netflix algorithm makes recommendations about the shows you might like. This is also the case with Amazon. It shows you ‘customers who bought this item also bought.
This is possible due to the efforts of machine learning. You can also learn about machine learning through various courses.
Source
Speech Recognition
Voice-activated virtual assistants like Alexa, Siri, and Google Assistant have fine-tuned speech recognition. Machine learning can also facilitate speech-to-text functions. This has real-world applications in voice search, increasing the accessibility options for disabled people.
Another facet of machine learning is Neural Machine Learning, which can seamlessly translate from one language to another. Moreover, the ability of a computer program to understand spoken and written language is known as Natural Language Processing. It facilitates language-related tasks.
Medical Diagnostication
Thanks to machine learning, some chatbots can identify symptoms. You have algorithms to build models predicting 3D molecule drugs that discover life-saving medicine. Also, identifying patterns can help formulate diagnoses or create treatment plans for patients. It has a strong link with oncology and predicting if cells are cancerous or calculating the potential to be cancerous.
Self Driving Cars
Many can now experience the benefits of autonomous driving thanks to machine learning. Combining machine learning, sensors, and dynamic software has brought this experience to life and the market. This is thanks to the predictive analytical capability of machine learning.
In addition, as a promising field to lean into, it has the potential to change every industry from identifying fraudulent transactions to creating self-learning robotic process automation.
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Automated Arbitrage
Machine learning finds a new niche in finance. Arbitrage is buying or selling assets to generate profits from the price difference. The automation element comes into play when machine learning is used to analyze the data generated by trade. This helps in creating a trading algorithm.
Moreover, this trading algorithm can identify the patterns created in the market to identify profitable trades. You can use this algorithm to make real-time trading decisions leveraging these advantageous arbitrage opportunities.
Machine learning is changing the face of industries in many subtle but impactful ways. We’re only beginning to scratch the surface of what is possible with the use of machine learning. It has the potential to transform everything from healthcare to the economy. In addition, machine learning is going to have a hand in shaping the possible technology of the future.
by Anika D | Apr 30, 2021 | Artificial Intelligence, Emerging Technology, Information Technology
Modern technology is transforming the future of the logistics industry with innovation and revolution. It’s going through a speedy and unprecedented transformation.
In addition, logistic is the key to a successful business as it enables worldwide fleet movement and cross-continent deliveries. It helps the organization to serve the end product to customers.
Also, the present situation of COVID-19, its pushing inventions and innovations in logistics to a higher level. The revenue management, seamless communication, and fleet monitoring become more flexible and resourceful. Technology is also helping recover from COVID-19.
Role of Technology In The Logistics Industry
Here are few innovative trends that drive the logistic industry –
Cloud Computing
Virtualized pool of figuring resources, cloud computing assists with data storage, networking, and artificial intelligence over the internet, software, and analytics.
It becomes efficient when you implement cloud computing approach to logistics software that includes activities like fleet management and order management.
Fleet management is an excellent application for cloud computing. Every movement can be redirected through cloud-based logistics to avoid damage to the business.
Robotics
A new trend in the innovation world, robotics have become a dominating factor in logistics advancement. In addition, with the arrival of mechanical engineering and machine learning algorithms, modern robots are smart to use.
Moreover, robots are becoming popular in the logistic industry, as they enable efficient goods delivery, pickup, distribution, and more.
Drones
Over the last few years, drones have gained greater media attention. It’s tested by DHL that drone delivery will prove beneficial in areas with a lack of infrastructure. Also, rural areas are found to be more relevant for drone deliveries since cities provide various challenges.
Data-Driven Analytics
With the enhancement of warehouse productivity and optimal utilization of logistical resources, data analytics will help in providing actionable insights. Moreover, the data analysis enables the business in inventory levels and generation of the risk management reports.
Technologies are shaping the logistics industry today and contribute to higher data analytics in the logistics field. These is the role of technology in the logistics industry.
by Anika D | Apr 9, 2021 | Artificial Intelligence, Industrial IoT
Our lives stood still when Covid-19 hit us. We all moved to remote working. In these times, technology has been our saviour. It has helped us in educating people and creating awareness towards the pandemic.
Also, it has helped us to connect with our near and dear ones even during the lockdown. It was because of technology that contact tracing and contactless movements all over the world were made possible.
Technology Uses for COVID-19 Recovery
Contactless Thermal Screening
One of the most common symptoms of covid-19 is fever. It would have been nearly impossible to check everyone’s temperature using a thermometer. With the technique of Artificial Intelligence, digital thermometers have been brought into play. They have been extremely useful at airports, malls, restaurants and all public places.
Contact Tracing
One of the most interesting uses of technology has been brought into play by South Korea. They have been very successful in contact tracing via the use of cameras, bank records, GPS from mobile and vehicle to check the real-time data of a person’s whereabouts.
China has also developed a QR code system. In this, the person fills up a small form, gives information like their temperature and lets the authorities keep a check on their movement. This was very useful in cases of home quarantine.
CT Scan
Wondered how to know how much covid-19 has spread in one’s body? Well, with the help of another advanced technology in the field of medical science. CT scan provides internal images of the body, and within seconds, the doctors can figure out its spread towards the lungs.
Work from Home
The work from home that we’re all relying on right now is only due to the advancement of technology. Due to the network connectivity and cloud platforms, we can now easily save, upload and send data with full protection. The 5G technology may also empowering this new work culture in the future.
Contactless Movement
We’ve all heard about drones, robots etc. However, in China, they were used to fight coronavirus. Spraying disinfectant using drones and providing basic essentials using robots provided contactless movement in the country. Apart from this, drones were also used to carry testing kits, medicines and checking over the quarantine locations.
Fighting Misinformation
During this time of the pandemic, it needs to be made sure that no misinformation is spread. With the help of technology such as adding voice messages, giving information regarding the safe use of vaccines needs to be given to people. Google, Facebook, YouTube has also worked towards guiding people regarding the same.
Transparency in Data Sharing
During these times, it is imperative that everyone is aware of the number of cases and correct facts regarding the coronavirus. Applications like Tik-Tok, which gained fame during the pandemic, patterned with WHO to do the same. It has also donated nearly $10 Million to fight with the same.
Conclusion
With the world constantly moving towards digitalization, there has been an advancement in the use of technology. It is because of this technology we were able to limit the spread of covid-19. With the help of Artificial Intelligence, low cost ventilators have been developed. It is at times like these we realise the true use of technology. Salute to all those working day and night tirelessly for making our life easier. These are top technology uses for COVID-19 recovery.
by Anika D | Jan 28, 2021 | Artificial Intelligence, Business, General, Machine Learning
The invention of AI has proved to be a bliss for business operating in almost all industries. Statistics demonstrate that an increasing number of organizations are employing this advanced technology within their business operations. So, the applications of artificial intelligence is increasing rapidly.
The market size of AI was valued at approx. $27 billion in 2019, and it is projected to reach about $267 billion by 2027. Businesses worldwide are leveraging the power of AI to optimize their processes and earn higher profits.
Applications of Artificial Intelligence
Though AI is applicable to all industries, some major ones are explained below:
#Human Resource (HR) Management
An Oracle/Future Workplace report showed that 64% of participating HR practitioners would trust a robot over the advice of their manager.
The combination of AI and machine learning (ML) is slowly reinventing the HR world. The sector can benefit from these technologies for two main reasons:
- There are surprising amounts of top quality data in the field.
- HR departments in companies feel essential as well as the pressure of time.
AI can automate some aspects of the recruiting and HR job, freeing professionals to focus on other things like onboarding, training, etc. This can also streamline and improve processes for betterment.
#Intelligent Cybersecurity
Cyber attacks on businesses are massively growing and evolving. Depending on the size of your company, there are countless signals that must be analyzed to evaluate the risk.
Unfortunately, this is not a human-scale problem anymore. In response, AI-powdered tools have emerged to help intelligence and cybersecurity teams to work efficiently and effectively.
Using AI, companies can easily detect vulnerabilities in business applications like Financial or ERP systems. For instance, some of the world’s most protected airports use this technology to analyze your identity when you are on your way to it. This saves security personnel time while making them proficient.
#Healthcare
A research report by Healthcare IT News showed that 63% of research subjects agreed that AI and ML would provide excellent value in all specialty care departments.
Healthcareitnews
In the coming few decades, AI is going to reinvent the healthcare industry. The technology helps the industry leverage the data at their disposal and improve patient outcomes to a greater extent.
Due to its growing use, the global market size for AI in healthcare is projected to reach about $28 million.
Statista
AI enhances predictability, reliability, and consistency when it comes to service quality and patient safety. It’s true that technology cannot replace doctors, but it makes them more efficient and effective by taking their cognitive burden.
# eCommerce
AI provides a competitive edge to eCommerce businesses, especially because it fits these companies’ size and budget.
The technology uses ML to automatically tag, organize and visually search content by labeling features of videos and images.
At the same time, AI helps buyers quickly discover products based on their preferences for colors, sizes, shapes, and even brand.
Its visual capabilities ease shopping online, thus improving customer experience with eCommerce stores that leverage this evolving technology.
Final Words
Today, every business uses this technology in one or another way. Besides above applications of artificial intelligence, its uses cover businesses operating in industries like retail, hospitality, gaming and betting, manufacturing, to name a few.
by Dr. Jane Fitzgerald | Oct 27, 2020 | Artificial Intelligence, Data Science, Industrial IoT
What is IIoT and its Link to Manufacturing?
The IIoT is part of a broader framework called the Internet of Things (IoT). The IoT is a network of smart computers, devices, and objects that gather and share vast amounts of data. The data collected is sent to a central cloud-based service. Here, compiled with other data, end-users find it useful. IoT can improve the automation of homes, classrooms, stores, and many industries.
Implementing the IoT to the manufacturing industry refers to the IIoT (or Industrial Internet or Industry 4.0). It revolutionizes the production process, allowing much more data collection and storage at far higher speeds and far more effectively than before. A host of innovative companies began using smart connected devices in their factories to introduce the IIoT.
What are the Benefits of IIoT?
Image Credit: Wikimedia
For industrial organizations, the IIoT may significantly improve communication, performance, scalability, time savings, and cost savings. Because of predictive maintenance, improved safety, and other operational efficiencies, companies are already benefiting from it through cost savings. IIoT networks of intelligent devices enable manufacturing companies to break open data silos and connect their people, data, and processes from the factory floor to the executive offices. Business leaders can use IIoT data to provide a comprehensive and detailed insight into how their company is doing, which will help them make informed decisions.
Protocols
One of the issues encountered during the IIoT transition is that various edge-of-network devices have historically used different protocols to send and receive data. Many different communication protocols are currently in use, such as OPC-UA. The transfer protocol Message Queueing Telemetry Transport (MQTT) is rapidly emerging as the standard for IIoT, due to its lightweight overhead, publish/subscribe model, and bidirectional capabilities. Read more on MQTT here.
Challenges
The two biggest challenges surrounding IIoT implementation are probably interoperability and security. As technology writer Margaret Rouse observes: “Industrial IoT is a major concern about interoperability between devices and machines that use different protocols and have different architectures.” For this, Ignition is an excellent solution because it is cross-platform and based on open-source, IT-standard technologies.
Companies need to know how secure their data is. The proliferation of sensors and other intelligent, connected devices led to a parallel explosion of security vulnerabilities; this is another factor in MQTT’s growth. It’s a very stable protocol.
The Future of the IIoT
The IIoT remains one of the fundamental phenomena that today and in the future impact industrial enterprises. Industries push for the modernization of systems and equipment to comply with new regulations, maintain increasing speed and volatility, and deal with disruptive technologies. Companies that have embraced the IIoT have seen significant improvements in safety, efficiency, and profitability. This trend will continue as the technologies grow widely.
The Ignition IIoT system significantly increases industrial organizations’ communication, performance, scalability, time savings, and cost savings. It can unite people and processes on the plant’s floor to those on the enterprise’s level. It also enables companies to get the most value out of their system without being limited by technological and economic constraints. For these and more reasons, Ignition offers the ideal forum for bringing IIoT’s power into your company.
by Dr. Jane Fitzgerald | Apr 2, 2020 | Artificial Intelligence, Data Science, Emerging Technology, Information Technology
Image from Forbes.com
Artificial Intelligence, AI, has been integrated into mainstream society, so much so, that most people use it almost every hour of every day without even noticing. My first experience with AI was through cyborgs in movies and I know some people will go immediately to the killer AI, Skynet, from the Terminator movie franchise. However, the reality is, AI is a more complex and diverse field than just murderous machines from the future.
Social Media
We interact with Artificial Intelligence every day, for example, social media: the main application that utilizes this technology. Facebook, Twitter, Instagram, they use AI to keep tabs on their users and target ads for any content they are advertising. Even Google’s algorithm is a form of artificial intelligence that helps us all find what we need online in an instant. Next time you use google search when you are halfway through typing, stop and take a look at the suggestions it provides. More often than not, it typically pulls like searches from around the world, but it also takes past searches and websites you have visited previously drawing conclusions for suggested web pages. A perfect example of one form of AI in our lives, and a form some of us could not live without.
AI That Moves You
A commonly missed version of AI would be that which is built into our vehicles, from giving us new routes or accurate directions to vehicles that even drive themselves. Self-driving cars are here and wildly popular; while much of that technology is used in expensive vehicles, it is making its way to the inexpensive models. For example: many newer vehicles can stop if the car in front stops unexpectedly, what a great use of AI. Not only that, but AI is also utilized to help people take different routes to and from their destinations based on traffic patterns, just as google draws conclusions for suggested web pages, AI frequently saves time via alternate routes while driving. AI is everywhere!!
AI Fears
Some people have raised concerns with the rapid rate of development of AI, the fear that they are invading our privacy. This fear is justifiable when most of our first interactions with this technology are Hollywood blockbusters with murderous AI’s that try to wipe out all humanity, but let’s remember AI is more than that. This popular movie premise has some people living off the grid to avoid all intelligence, but it is important to remember, good or bad we are making great strides and our nation is prosperous, in part, due to those strides in AI. At the end of the day, AI can scare you, it can inspire you, or it can do a bit of both, but the decision to accept AI into our life is up to us!
https://www.tech21century.com/how-ai-has-influenced-our-society/
Biometric Identification and Cybersecurity
