The high data-driven nature of IoT (Internet of Things) systems calls for the need for technologies such as edge AI (Edge computing and Artificial Intelligence). Today, businesses realize the fact that edge AI is crucial not only because it is revolutionizing industries but also because it is our ultimate future. The technology gains much attention at present as it enables processing of data at the edge, i.e. directly on the device or on the server near the device instead of the cloud, thereby reducing latency in making critical decisions, increasing the speed of processing tasks and mitigating any delayed communication with the cloud. In addition, it reduces bandwidth requirement and cost by processing it on site. Edge AI also offers high data security as it operates in a closed network, making it difficult to steal information. These, along with many others, are important reasons for businesses to incorporate edge in their applications.
Edge AI finds applications in many areas. Current examples include Amazon’s Alexa or Apple’s Siri, smartphones with face recognition, mapping and cartography in drones, autonomous vehicles, smart speakers, drones and robots. Implementation of edge AI is also seen in various industries such as healthcare, manufacturing, transportation, retail, and more for upgrading their operations to ensure higher productivity, accuracy, efficiency, and safety. Here’s a look:
Edge AI in Healthcare –
Use of edge computing and AI in medicine helps promote patient care and operational efficiency. It also facilitates enhanced data security which is important for smart hospitals to carry out their tasks efficiently. Healthcare firms are able to perform medical tasks such as remote monitoring of patients, diagnostics, precise thermal screening, inventory management, and prediction of ailments.
Edge AI in Manufacturing –
The manufacturing industry implements edge AI to enhance and protect its processes and resources. It also seeks solutions that enhance productivity, quality, and reduce risks. For example, advanced machine vision or video analytics, an example of industrial edge AI, allows to gauge product quality with great precision. It is capable of detecting even the smallest quality deviations that almost go unnoticed with the human eye and predict machine failure to prevent bottlenecks. Thus, it helps avoid downtime and addresses problems that may lead to machine repairs and requirements.
Edge AI in Transportation –
With an aim to create smart cities where roads, vehicles and buildings communicate with one another, many technology companies adopt edge AI to provide smart cameras that assess traffic in real-time to identify obstructions in the road, reckless drivers and other situations.
Edge AI in Retail –
For long, many retail chains have been implementing customer analytics, which is based on an analysis of completed purchases, i.e. receipt data. Even if this technique helps in getting accurate results, the receipt data does not give information about how people move around the store, what they stop to watch, and the like. With the help of video analytics, retail companies can analyze anonymized data extracted from a video image and get informed about people’s purchasing behavior that can improve customer service and the overall shopping experience.
AI application at the edge is seeing a tremendous growth and companies that are investing and embracing this technology are also growing subsequently. This infers that the market for edge AI is growing by leaps and bounds and has a promising future. A report by Allied Market Research predicts that the edge AI processor market is projected to amass $9.6 billion by 2030, registering a CAGR of 16% during the forecast period 2022-2030. The prime factors propelling the market growth are nothing but the benefits offered by Edge AI and the rise in the adoption of electronic items globally.
In a nutshell, AI on the edge is sure to increase opportunities in the future. It is primed to enhance standards across various sectors, be those standards about safety, speed or accessibility.
Author Bio: Sharmistha Bose has always had a keen interest in reading and writing. An engineering graduate, she forayed into the field of writing due to her love for words and the urge to do something different. Allied Market Research has given her the chance to gain knowledge about different subjects as a Specialist Content Writer. She can be reached at firstname.lastname@example.org
How are Artificial Intelligence (AI) Approaches Being Used to Process and Modify Diamonds?
Artificial intelligence has helped evolve various fields, one of them is the diamond industry. The mentioned industry has gone through various phases as technologies and expertise have continued to develop. The recent few years have brought immense changes to diamonds’ excavation, manufacturing, and modification.
Diamonds are considered of high monetary value, which is why they have attracted various techniques regarding their manufacture. The continuing market value of diamonds has boosted the research regarding the use of AI in this field.
These ideas and approaches have helped bring change from the process of extraction to the complete finishing. It has made the job easier for the manufacturers and added refinement for the customers. Here is a brief overview of the impacts of the AI industry on the diamond industry and how AI approaches are being used to modify diamonds.
AI and Changing Diamond Industry
The change in the diamond industry regarding AI began early in the 1990s and 2000s. It was when some Israeli manufacturers employed some modern technological techniques in the diamond industry. They realized that the most important part of the process was planning and deciding the process. The same plan is used to develop each stone into a refined diamond. Since then, it has continued, and the mentioned industry continues to use AI.
If a plan is programmed using AI for this purpose, it will enhance the stone and make it easier for the manufacturers. AI comes to help enhance the process as it is a collection of multiple programs that consider every aspect of the given job. It is perfect for diamonds as their manufacturing process requires hundreds of considerations. Thus, it takes care of all these to get the manufacturer the perfect piece.
AI can also be employed in the preparation of lab-created diamonds as it uses various programs that can generate an ideal diamond. The uses of AI are not just limited to the use in the mining and polishing process. Rather it helps businesses to keep record of their products and arrange it according to their needs. The huge databases that AI uses brings ease in identification, management, and ease for customers.
As diamond is a valuable commodity, it has required special programs that can cover the process from mining to shipping. Also, the available software can also be used to identify if the real diamond has been exchanged for fake during the shipping process. RockHer is an app that utilizes IBM’s technology for the identification of diamonds.
Uses of AI in the Diamond Industry and Diamond Modification
There are various uses of AI in the diamond industry, and it can be used in the modification of diamonds. Some of these are given as follows:
1. Grading and Analysis
AI enhances the process of diamond grading and analysis using its advanced programs. In contrast to AI, it would cost too much time and energy if it is done traditionally. AI tools ensure that real-time data for a diamond is taken and it is analyzed quickly. Though the process for AI grading of diamonds is not new, it is improving constantly.
It simplifies the diamond planning and drilling process as the decisions are data-driven. It employs scanning and imaging technologies while also bringing forth the use of the latest available software for grading. Thus, it reduces the human effort to the minimum possible, and the use of extensive machinery for grading and analysis is reduced.
It fulfills the aim of creating an attractive diamond that requires minimum human effort. It brings more revenue to the business and reduces costs.
The business of a brand depends on an efficient inventory. It can bring the best to the market and serve the customers with the products that the customers demand the most. If AI is used for diamonds, it can improve the standards with the help of AI programs.
The manufacturer can apply specific grading standards that the customers demand the most, and it will improve business.The availability of AI increases accessibility and thus improving the availability of products.
Another use is that of high accuracy in manufacture that is available in the case of AI, which is not always possible in the case of human beings. The manufacturers can follow market suitability according to popular demand and create diamonds with the required attributes.
The AI-based manufacturing process is flexible and can be used for various procedures. It reduces effort while not affecting the inventory, keeping the business afloat.
3. Improving Diamond Pipeline
The whole process of diamond manufacturing is too complex as it involves various steps from mining to analysis and sale. It is through the use of AI programs that the process is streamlined from the start to the end. The use of these programs reduces the cost of the procedures and makes the process easier. The availability of AI tools makes it possible to get reliable results once, instead of requiring multiple checks.
The job of artificial intelligence starts from the mining process. It is through geological tracking devices and other tools that identify the quality of diamonds. In the case of manual exploration or the use of some other tools, there are chances of being misled by wrong information. The use of AI reduces the chances of error, and it helps in the complete process.
Miners get data through drilling rigs and estimate the costs and the benefits a diamond would bring the investors. Then the diamond is processed using other AI tools required for the remaining process.
4. Using AI for accuracy
AI is considered a reliable tool from mining to grading process. It streamlines the process as it bases the procedure of analysis, grading, or any other purpose on a reliable set of data. It brings accuracy to the results which is far better compared to human-checked data.
Another factor that makes it far better is the constant improvement in AI while in comparison, improvement in human accuracy is relatively slower. The developers of programs can improve their algorithms as they can add further data related to diamonds.
Thus, it won’t be too long when AI-based grading and other processes would be the most-reliable ones for businesses.
Some AI Systems and Technologies Used in Diamond Industry
Various AI systems and technologies have been developed by experts, which have found wide use in the diamond industry. Some of the popular names include DiaCam360, Ringo, Sarine e-Grading, etc. These computer programs have developed through trial and error, thus giving the best possible results to the users.
DiaCam360 is an Israel-based developers’ venture who prepared this tool for the analysis of the color and clarity of the diamond. It is based on various databases which contain diamond pictures and other details. Its databases are GIA-affiliated, giving it credibility.
Ringo is an AI-based tool that can help find customers a diamond according to their specific choice. The choice might include color, shape, budget, etc. Sarine e-Grading is a tool that is being used for grading based on 4C’s. It gives object results that can be relied on.
As AI has continued to develop, the mining process has simplified with the reduced costs. There are AI tools that help identify various factors like groundwater, subterranean ventilation, temperature etc. to see if it would be feasible to mine diamonds. Thus, it reduces the risk facto to ensure that the process is safe for miners.
Tracking systems, wireless devices, detection tools, etc. are connected with AI tools to make mining safer and easier. Also, use of AI helps the miners analyze satellite images to see the environmental impact of mining.
Machine learning has helped in predicting dangers in a timely manner. It keeps the mining persons safe by analyzing data and considering if there would be spike in pumps. These also consider the formation of sludge deposits and ore fragmentation.
Thus, the miner is easily able to mine diamonds, reducing the chances of any untoward happening. Robots using AI have found multiple uses in diamond mines. An example is Western Australia where such robots are being used for load, haul, and dump purposes in diamond mines. These are automated machines utilizing AI for their job.
GIA first started testing use of AI for diamond clarity grading in 2020 partnering with IBM. They aim to expand it further to other domains as well.
The development of artificial intelligence (AI) has brought human beings some unparalleled comforts. The diamond industry also benefits from the developments in these fields and has brought programs and tools that help the process from manufacture to refinement and sale. These tools make it easier to determine quality, modify the available diamonds and analyze their specific traits. It reduces too much human interaction and leads to adding precision. The use of AI reduces the chances of error and adds to the quality of the product. Moreso, the addition of new developments to this field will enhance the mentioned technology further in the future.
Resecurity Brings AI-powered Cyber Threat Intelligence to Singapore
California-based cybersecurity company showcases innovative cyber threat intelligence and digital risk management technologies at Milipol Asia-Pacific 2022 (APAC)
Resecurity®, a cybersecurity and intelligence company, showcased its next-generation cybersecurity platform at the 2022 MILIPOL Asia-Pacific (APAC) conference in Singapore. The MILIPOL APAC event welcomed over 7,000 government and law enforcement leaders and 300 exhibitors to share their experiences, best practices and expertise regarding the myriad of security challenges facing local and regional government security forces.
Government organizations face sophisticated and ever-evolving security threats that have led to record cyber incidents in 2021. To help arm government forces with the latest knowledge and technology, MILIPOL APAC focused on connecting homeland security organizations and commercial innovators in emerging markets like cybersecurity to enhance national resilience and public safety.
“Resecurity is proud to have participated in this year’s MILIPOL APAC event. As governments protect and respond against increasing cyber threats, we must provide nations with the insights and technology they need to keep pace with adversaries,” said Gene Yoo, CEO of Resecurity. “Resecurity aims to streamline cyber risk and intelligence insights with our platform, enabling government security forces to quickly identify and score the network, identity, technology and geographical risks within their ecosystem using Platform-as-a-Service (PaaS) concept.”
Uniquely positioned to provide real-time, contextualized threat intelligence, Resecurity exhibited its latest research, risk management and security capabilities that protect organizations on multiple levels, including network, cloud, applications, and users. The innovative cyber threat intelligence platform combines several tools, allowing administrators to reduce potential blind spots and security gaps by quickly seeing in-depth analysis and specific artifacts obtained through the dark web, botnets activity, network intelligence and high-quality threat intelligence data.
Held May 18-20, 2022, MILIPOL Asia-Pacific is the largest homeland security event in the Asia Pacific. The event was fully endorsed by the Ministry of Home Affairs, Singapore and the Ministry of the Interior of France and welcomed speakers from the United Nations Office on Drugs and Crime (UNODC), ASEANAPOL, World Customs Organization (WCO) and INTERPOL.
To learn more about Resecurity’s cyber risk management and threat intelligence solutions exhibited at MILIPOL Asia-Pacific, visit https://resecurity.com.
Resecurity is a cybersecurity company that delivers a unified platform for endpoint protection, risk management, and cyber threat intelligence. Known for providing best-of-breed data-driven intelligence solutions, Resecurity’s services and platforms focus on early-warning identification of data breaches and comprehensive protection against cybersecurity risks. Founded in 2016, it has been globally recognized as one of the world’s most innovative cybersecurity companies with the sole mission of enabling organizations to combat cyber threats regardless of how sophisticated they are. Most recently, Resecurity was named as one of the Top 10 fastest-growing private cybersecurity companies in Los Angeles, California by Inc. Magazine. An Official Member of Infragard, AFCEA, NDIA, SIA and FS-ISAC. To learn more about Resecurity, visit https://resecurity.com.
Artificial Intelligence: New Product Launches to Raise Demand
Artificial intelligence (AI) is gaining massive momentum in various countries across numerous industries. This is due to the growing demand for automation and technological advancements incorporated by prominent players in the market. There is an immediate need for AI to maximize efficiency and enhance productivity.
Why Artificial Intelligence is Important and How it is Beneficial
Artificial intelligence has come a long way over the last couple of years, and it is further going to revolutionize due to its applications across various industries. Various players in the market are implementing innovative technologies such as AI, the Internet of Things (IoT), and others, due to their massive demand in businesses across the globe. Institute of Electrical and Electronics Engineers (IEEE), the largest technical organization in the world that is engaged in advancing technology for humanity, released its global study involving influential technology trends from leaders across developing and developed countries such as the U.S., China, India, the U.K., and Brazil.
The comprehensive study is undertaken by 350 chief information officers (CIOs), chief technology officers (CTOs), and IT directors, covering the remarkable technology trends in 2022. Approximately, 95 per cent of the total technology leaders, CIOs, and CTOs surveyed by IEEE acknowledged that technological advancements and the introduction of new artificial intelligence products and services will pave the way in the coming years. Hence, AI is set to lead most of the innovations across various sectors in the forthcoming years. The increasing popularity of voice and language-driven assistance in websites and mobile applications is expected to drive the demand for artificial intelligence.
In addition, AI solutions play an important role in detecting conventional IT problems all by themselves and further self-correct or eradicate any sort of minor malfunctions or issues in the system. Apart from that, general and largescale adoption of AI in the IT industry for production and other purposes will indigenously help organizations across the globe to get a real-time return on investment (ROI).
Trends of Artificial Intelligence for Business
Furthermore, growing internet penetration in various countries across the globe, rising digital dependence among people, and the prevalence of revolutionary industrial 4.0 trends are expected to offer opportunities for the growth of the global artificial intelligence market. According to the report published by Allied Market Research, the global artificial intelligence (AI) market is expected to reach $1,581.70 billion by 2030, growing at a CAGR of 38.0% from 2021 to 2030.
Numerous players in the market are launching innovative artificial intelligence products and services to essentially cater to people’s needs and optimize technological advancements. For instance, NVIDIA Corporation, a California-based multinational technology company, launched new chips and technologies to boost AI. The company released information about their recent technological breakthrough product H100 chip and the launch of a revolutionary processor chip known as the Grace CPU Superchip.
These trailblazing new technologies are expected to significantly speed up the computing power of complex artificial intelligence algorithms. Thus, NVIDIA is remarkably raising the stake and stepping up the competition against the competitive chip makers for flourishing in the growing data centre business. The chief analyst of TECH analysis Research, Bob O’Donnell, also mentioned that these recent product launch announcements from NVidia are conspicuously making it a notable threat to prominent players such as AMD and Intel in the data centre and cloud computing markets. These pioneering chips are based on British semiconductor and software design company Arm Ltd.’s technology.
Jensen Huang, the Chief Executive Officer (CEO) of NVidia, mentioned data centres are being transformed into AI factories. Hence, the company renders the H100 chip as the ‘engine’ of modern AI infrastructure. Nvidia also launched a new supercomputer called ‘Eos’, claiming it to be the fastest AI system in the world as soon as it starts operation in the latter part of this year.
The trend of launching new artificial intelligence (AI) products and services continues to gain immense traction not only among people but also in businesses in various countries. For instance, International Business Machines (IBM) Corporation, another American multinational technology corporation company, launched a tool called Watson Orchestrate that will appreciably assist businesses to automate various tasks.
The tool uses artificial intelligence to choose, pick, and sequence the pre-packaged skills that are required to be undertaken across human resources, sales, or operation functions. The tool, Watson Orchestrate, substantially helps to capitalize on the growing popularity of virtual assistants and chatbots in various websites and mobile applications during the pandemic. Thus, it enables organizations to take a step further toward phenomenal advancements in artificial intelligence and cloud services.
Arvind Krishna, the Chief Executive Officer of IBM, mentioned in a statement that the company is all set to implement a hybrid cloud to pervade artificial intelligence into systems and software in the modern era of technology. The tool Watson Orchestrate is easily accordant with email and Slack Technologies, Inc. It is also capable of connecting to numerous business applications of companies such as SAP SE, Salesforce.com, Inc., and Workday, Inc.
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