The gatherings are a good opportunity to meet other tech enthusiasts and grow your network in the industry. Worldwide AI conference honours expert, industry leaders, researchers, scholars, and professors by encouraging them to share ideas while providing an informative perspective of artificial intelligence technology.

Artificial Intelligence is set to bring in a technological breakthrough…! Several events have been planned to spark AI innovation. Let us now turn our focus to the world’s top artificial intelligence conferences that are taking a deeper dive into the industry and shining a spotlight on the power of AI.

Global AI Summit and awards by AICRA

Global AI summit organized by all India council for robotics and automation (AICRA) is a platform in India for sharing and understanding some visions on Artificial Intelligence and its effect on businesses. The event welcomes delegates and exhibitors all around the world to witness the greatest summit on Artificial intelligence. The summit is an opportunity for tech enthusiasts to take advantage of the insightful discussions led by industry pioneers. The first edition of the global AI summit was commenced in the year 2020 in new Delhi with the huge participation of representatives from the world’s leading organizations. AICRA has proudly organized two seasons of the event and the 3rd edition is planned to be held on the 07th & 08th of October 2022.

If you or your organization is building cutting-edge AI solutions to adapt to a world driven by technology, Please nominate yourself/or your company for GAISA AWARDS 2022.

Please follow the below-given link to nominate: https://gaisa.in/award

All further details regarding the event will be updated on the official website of Gaisa 2022. Please Visit: https://gaisa.in/

Middle East Enterprise AI & Analytics Summit

The event this year adopted the theme “Digital New Normal: Paving the way for Enterprise AI & Analytics”, and all set to bring together tech thought leaders and like-minded officials across the MENA region to explore in the world of AI and share about the analytics trends and discuss the promising future of the emerging technologies across various sectors.

Artificial Intelligence Latin America Summit

The MIT organized slot deposit pulsa summit is a platform that brings together government, industry, academia, and the non-profit sector from across Latin America and the Caribbean to define and invent the opportunities and risks they might encounter with the increased adoption of AI.

World Summit AI

This is one of the leading AI summits in the world bringing together the global AI ecosystem of Enterprise, BigTech, Startups, Investors, and Science, as well as the best minds in AI. As the WSAI celebrates its fifth anniversary this year, it will create a new’super summit’ that merges the globally recognized WSAI with its Intelligent Health and TMinus 30 events on climate and the future of food and agriculture.

Teleco AI world summit

The Telco AI World Summit brings together leading experts and a high-level executive audience each year to debate and showcase the applications of AI, analytics, and automation.

Rise of AI conference

The global event associates around 2000 AI specialists, decision-makers, opinion-leaders, and game-changers to develop insight on the impact AI brings to society, politics, and the economy. The summit incredibly appreciates the future of AI and makes people aware of the use of AI in certain industries.

AI NEXTcon event

AI NEXTcon is an event governed primarily for tech engineers’ developers, data scientists to share, learn, and practice Artificial Intelligence and how to apply AI to solve complex problems. The platform embraces knowledgeable tech talks, inspirational keynotes, and hands-on workshops. The event also empowers the venue for networking between like-minded developers.

AI Summit New York

The AI Summit New York, now in its sixth successful year, returns as one of the world’s leading AI events for business, with over 700 Fortune 1000 companies in participation. Google, Facebook, DarkTrace, and many other companies will be there. Attendees may also use an algorithmic matchmaking tool on their AI-powered virtual platform to develop significant business ties.

O’Reilly Artificial Intelligence Conference

O’Reilly artificial intelligence conference is a medium for tech enthusiasts to acquire a deep understanding of new and emerging AI tools, an awareness of the potential risks, analysis of the sector cases with the best ROI, and a great opportunity for a team to ramp up the skills they need for enterprise-wide AI executions.

The post Top AI Conferences around the World appeared first on AICRA.

Further developments are primarily aimed at making the purchasing process more intuitive and simpler. Retailers have realized that simplifying the user and customer experience leads to higher sales.

However, making the selling process simple and intuitive is important as making the customers’ lives easier. Essentially, these are two sides of the same coin, and both can be significantly improved with the right technology. We’ve recently discovered, that there is no better technology for this purpose than artificial intelligence (AI).

How does AI help sales professionals?

AI is not a new concept, and its definition has evolved significantly over time. Today, we routinely use it in a variety of everyday devices and appliances, often without even realizing it, even though the general public may still imagine evil robots taking over the world whenever AI is mentioned.

Naturally, this does not mean that there are no risks involved with the misuse of AI, especially given how difficult it is to predict how this technology will evolve in the future. However, the benefits of AI are so widespread and valuable in so many industries that we can confidently state that it is here to stay. And, obviously, its effectiveness extends beyond the scope of business to assist us with issues that we all find critical, such as healthcare and education, weather forecasting, disaster response, and many others.

We frequently hear that data is the “most valuable asset” in today’s world. This is also true for retailers and salespeople – obtaining reliable customer data is critical to their success. However, given the amount of data uploaded every day (2.5 quintillion bytes per day in 2018 and expected to grow to 463 exabytes in 2025), simply having billions of divergent data points is of little use to any business.

This is where artificial intelligence’s processing power comes into play. AI can sort through this data, organize it, and put it to use. By analysing the data generated, vendors can learn more about their customers, prospects, and the market in general. This can help with lead generation, pipeline monitoring, sales forecasting, real-time marketing, and customer communication, to name a few advantages.

AI’s ability to act on interpreted data also helps in the automation of tasks and workflows, increasing productivity. Furthermore, it speeds up and smooths communication within the organization. Finally, it can perform numerous repetitive and tiresome tasks that were previously performed by human representatives in a reliable and error-free manner.

How is AI taking over sales?

When we say that AI is “taking over” sales, we don’t mean that it’s coming to take our jobs or that sales reps will soon become obsolete. Because it is taking over, it will become an absolute necessity for retailers if they want to stay afloat.

Simply put, salespeople who use AI will gain an advantage over their competitors that will be difficult to compensate for. Using AI methods to collect and analyze data is the best way to get to know your customers.

Furthermore, it is becoming increasingly important for businesses to be available to their customers at all times and through multiple channels. Immediacy is critical here; if you are not present when a customer is considering purchasing something, you may lose money. As many as 64% of customers expect brands to respond and interact with them in real-time. This is why chatbots are so useful: they can intervene at any time and provide assistance.

Overall, AI will not “take over” in the sense that the sales process will be completely automated, with no human involvement. Not anytime soon, at any rate. However, it will undoubtedly become a necessary tool for sales departments and human sales representatives.

All-inclusive

AI is a highly effective and promising technology that has yet to reach its full potential. It’s widely used in sales for the benefit of both buyers and sellers, and its greatest advantage is that it provides businesses with incredibly valuable insights about their customers.

As a result, the current generation of retailers may know more about their customers than any previous generation. Now that they know what their customers are all about, they can put the “customer first” philosophy into action. And by doing so, they will benefit themselves as well as their business.

Of course, such powerful technology can be misused and exploited, but we have the opportunity to put it to good use and benefit all of us. Now it’s up to companies to decide.

Global Artificial Intelligence Summit & Awards

If you or your organization is building cutting-edge AI solutions to adapt to a world driven by technology, Please nominate yourself/or your company for GAISA AWARDS 2022.

Please follow the below-given link to nominate:https://gaisa.in/award

All further details regarding the event will be updated on the official website of Gaisa 2022. Please Visit: https://gaisa.in/

The post How to Sell with AI? appeared first on AICRA.

Farmers’ interest in cutting-edge technology has generated a market for agricultural robots and drones worth $23.06 billion by 2028. In open fields and greenhouses, robots can already perform a range of tasks. From weeding and harvesting to sampling and spraying, advanced technology help farmers cultivate healthy crops in a financially and environmentally sustainable manner. While we are only at the beginning of this trend, there are already numerous examples of how agricultural robots might affect food production.

A Tertile robot that makes weeding easier than ever

In many homes, there are food and flower gardens. While this activity is fun and offers nutritious food, it is also a constant battle to eliminate weeds that deprive plants of water and nutrients. Weeding can be time-consuming and difficult, which is why Franklin Robotics, a technology company, has come up with a solution. Tertill, a 1.1-kg heavy robot from this American startup, trims itself as it walks about the garden. The four-wheeled device uses sensors to locate its target and a nylon thread on its underside to pull weeds out.

The robot’s solar panel can charge its battery when it is exposed to direct sunlight. The device can also be charged using a USB cord. To keep Tertill from fleeing and allowing it to patrol in a set area, the robot’s owners must enclose their garden with at least a five-centimeter-high wall. Although the machine is weather-resistant, rocks, mud, and uneven terrain might slow it down. Franklin Robotics has also developed a smartphone app that allows clients to monitor the robot’s activities as well as the weather in the garden.

Smart core to check soil samples

Crop production in large open fields faces unique challenges. Farmers must study soil samples to determine the number of nutrients required in certain field areas. Using the proper amount of nutrients can increase yields, cut costs, and minimize surface and groundwater pollution. Using too many or too few chemicals, on the other hand, may have a negative impact on agricultural productivity. Farmers often collect soil samples by hand, which is a time-consuming and error-prone procedure despite the necessity of the process.

Troy Fiechter and Drew Schumacher, both Purdue University graduates, have developed a superior soil analysis method. The duo developed SmartCore, an autonomous robot that navigates fields and collects samples from specific locations. Obstacle detection algorithms and GPS lead the equipment to take samples from the same region each year, allowing farmers to track the changes in their soil. After the sample is taken, SmartCore transports it to the edge of the field for shipment to a lab.

Swarm robots to plant seeds

The robots use satellite navigation to transmit their exact location, which helps operators optimize planting operations. Controlling and optimizing the machines is the responsibility of the OptiVisor algorithm. Fendt’s field robotic system is energy efficient due to its low weight and low-maintenance engine. The grid, farmers’ biogas facilities, wind energy, or fuel cells can all be used to charge the battery. As one of the pioneers in the development of farming tractors in the early twentieth century, Fendt believes that its latest technology solutions may help agriculture take the next big step forward.

The robots send their exact location via satellite navigation, which aids operators in optimizing planting operations. The OptiVisor algorithm is in charge of controlling and optimizing the machines. Because of its low weight and low-maintenance engine, Fendt’s field robotic system is energy efficient. The battery can be charged using the grid, farmers’ biogas facilities, wind energy, or fuel cells. Fendt believes that its latest technology solutions can assist agriculture to take the next significant stride ahead, as one of the pioneers in the creation of farming tractors in the early twentieth century.

Mamut robots to spot plant diseases

Experiments are also being conducted by Cambridge Consultants, a subsidiary of the French engineering firm Altran. The high-tech company is working on Mamut, an AI-powered autonomous robot that uses a stereo camera, an AI system, lidar, and a compass to map and navigate a natural area. Inspection sensors and six 360-degree cameras, one of which is a multispectral imaging camera, are included in the device. Mamut wanders around farm fields, gathering visual data and creating maps to aid farmers in spotting diseases, estimating crop yields, and selecting the best harvesting time. Unlike drones, the robot goes beneath the plants to get more detailed information.

Cambridge Consultants is still training the AI to monitor crops, which is a difficult task. The robot travels around 24 kilometers in eight hours, during which time the developers evaluate functions including collision avoidance, route planning, and route following. Although high-value crop growers expressed the most interest, the company thinks that the Robotics-as-a-Service commercial model will allow the product to reach a larger market. Farmers would only pay for a one-time service, and the technology supplier would own the robot. This allows consumers to adjust their robot usage based on their current needs and cost constraints.

Naio technologies robots

Naio Technologies has a number of robots that can not only operate as the ideal farm laborer, but also conserve and protect the environment.
The robots are capable of weeding, hoeing, and harvesting assistance. “We aim to provide access to the latest technologies to all partners in the agriculture industry, to help grow healthier, more abundant, and ecologically friendly crops,” the team says.

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Global Artificial Intelligence Summit & Awards

If you or your organization is building cutting-edge AI solutions to adapt to a world driven by technology, Please nominate yourself/or your company for GAISA AWARDS 2022.

Please follow the below-given link to nominate:https://gaisa.in/award

All further details regarding the event will be updated on the official website of Gaisa 2022. Please Visit: https://gaisa.in/

The post Top AI devices for agriculture lands appeared first on AICRA.

Artificial intelligence improves the lives of patients, physicians, and hospital managers by completing jobs usually performed by people, but in a fraction of the time and at a fraction of the expense.

The AI sector, one of the world’s fastest-growing sectors, was valued at over $600 million in 2014 and is expected to reach $150 billion by 2026.

• Early disease detection with AI

Delays can mean the difference between life and death in healthcare, so Viz.ai assists care teams in responding faster with AI-powered healthcare solutions. The company’s AI technologies can detect problems and rapidly alert care teams, allowing doctors to explore choices, make faster treatment decisions, and ultimately save lives.

• Accurate cancer diagnosis

PathAI is working on machine learning technologies to help pathologists make a more accurate diagnosis. The company’s current objectives include reducing cancer diagnostic errors and developing methods for personalized medical treatment. PathAI has collaborated with pharmaceutical companies such as Bristol-Myers Squibb and the Bill and Melinda Gates Foundation to expand its AI technology into other healthcare industries.

• AI Symptom checker

Buoy Health is a symptom and cure checker powered by AI that uses algorithms to identify and treat illness. It works like this: a chatbot listens to a patient’s symptoms and health problems, then directs the patient to the appropriate care based on its diagnosis. Harvard Medical School is just one of several hospitals and healthcare institutions that utilize Buoy’s AI to help identify and treat patients faster.

• Deep learning for actionable insights

Enlitic develops deep learning medical solutions that improve radiology diagnosis. The deep learning platform of the firm analyses unstructured medical data (radiology pictures, blood tests, EKGs, genomes, and patient medical history) to provide clinicians with superior insight into a patient’s real-time needs. Enlitic was awarded the world’s fifth smartest artificial intelligence startup by MIT, ahead of Facebook and Microsoft.

• AI IN BIOPHARMACEUTICAL DEVELOPMENT

BioXcel Therapeutics uses artificial intelligence to discover and develop novel drugs in the disciplines of immuno-oncology and neurology. Furthermore, AI is used in the company’s medication re-innovation initiative to uncover new applications for current treatments or to identify new patients. The work of BioXcel Therapeutics in AI-based medication discovery has been recognized as one of the “Most Innovative Healthcare AI Developments of 2019.”

• AI, CLOUD-BASED DIGITAL DRUG DISCOVERY

XtalPi’s ID4 platform predicts the chemical and pharmaceutical characteristics of small-molecule compounds for drug discovery and development by combining AI, the cloud, and quantum physics. Furthermore, the business claims that its crystal structure prediction technique (also known as polymorph prediction) predicts complicated chemical systems in days rather than weeks or months. Google, Tencent, and Sequoia Capital are among the company’s major investors.

• NEURAL NETWORK FOR CLINICAL TRIALS

Atomwise uses artificial intelligence to combat some of today’s most dangerous diseases, such as Ebola and multiple sclerosis. AtomNet, the company’s neural network, aids in the prediction of bioactivity and the identification of patient characteristics for clinical studies. Each day, Atomwise’s AI system evaluates between 10 and 20 million DNA molecules and claims to be 100 times quicker than traditional pharmaceutical businesses.

• DEEP LEARNING FOR TARGETED TREATMENT

BenevolentAI’s major objective is to bring the appropriate therapy to the right patients at the right time by leveraging artificial intelligence to improve target selection and reveal previously unknown insights using deep learning. BenevolentAI is collaborating with large pharmaceutical companies to license medications, as well as charity to produce readily transportable treatments for uncommon diseases.

• PERSONALIZED HEALTHCARE PLANS WITH AI

The Cleveland Clinic collaborated with IBM to integrate artificial intelligence into its IT capabilities. To improve the patient experience, the world-renowned hospital is utilizing AI to collect information from billions of administrative and health record data points. This collaboration between AI and data is assisting the Cleveland Clinic in personalizing healthcare programs on an individual basis.

• FASTER HOSPITAL VISITS, COURTESY OF AI

The Johns Hopkins Hospital has announced a collaboration with GE to increase the efficiency of patient operational flow using predictive AI techniques. A task team, aided by artificial intelligence, swiftly prioritized hospital work to benefit all patients. Since adopting the approach, the institution has witnessed a 60% increase in inpatient admissions and a 21% rise in inpatient discharges before midday, resulting in a speedier and more favorable patient experience.

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Global Artificial Intelligence Summit & Awards

If you or your organization is building cutting-edge AI solutions to adapt to a world driven by technology, Please nominate yourself/or your company for GAISA AWARDS 2022.

Please follow the below-given link to nominate:https://gaisa.in/award

All further details regarding the event will be updated on the official website of Gaisa 2022. Please Visit: https://gaisa.in/

The post 10 examples of AI in healthcare that will make you feel better about the future appeared first on AICRA.

What is Artificial Intelligence in healthcare?

In the health care industry, AI-based medical devices could:

• Automate tasks, synthesize data from multiple sources, and pinpoint trends
• Process and analyze information from wearable sensors and identify disease or the onset of medical conditions
• Predict which patients are at an increased risk for disease, complications, or negative outcomes based on their medical records
• Support research by evaluating large amounts of data and monitoring treatment efficacy

Trends in Medical Devices with Artificial Intelligence

As technology advances, medical device companies are developing AI medical devices that serve three main functions:

Chronic disease management

Artificial intelligence-powered medical devices could monitor patients and deliver treatment or medication as needed. Diabetes patients, for example, could wear sensors to monitor their blood sugar levels and administer insulin to regulate them.

Medical imaging

Companies are developing artificial intelligence-powered medical devices to improve image quality and clarity in medical imaging. These devices would also reduce a patient’s radiation exposure.

Internet of Things (IoT) 

The Internet of Things (IoT) for medical devices is a network of wireless, interconnected, and linked digital devices used by medical professionals to manage data, keep patients informed, cut costs, monitor patients, and work more effectively and efficiently. Companies are collaborating with medical devices equipped with artificial intelligence to improve patient outcomes.

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Global Artificial Intelligence Summit & Awards

If you or your organization is building cutting-edge AI solutions to adapt to a world driven by technology, Please nominate yourself/or your company for GAISA AWARDS 2022.

Please follow the below-given link to nominate:https://gaisa.in/award

All further details regarding the event will be updated on the official website of Gaisa 2022. Please Visit: https://gaisa.in/

The post What Are The Uses Of AI In Medical Devices? appeared first on AICRA.

A number of research studies have already found that AI can perform as well as or better than humans at key healthcare tasks such as disease diagnosis. Algorithms are already outperforming radiologists in detecting malignant tumors and advising researchers on how to build cohorts for expensive clinical trials. However, we believe that it will be many years before AI replaces humans in broad medical process domains for a variety of reasons. In this article, we discuss the potential for AI to automate aspects of care as well as some of the barriers to rapid AI implementation in healthcare.

Artificial intelligence is not one technology, but rather a collection of them. Most of these technologies have immediate relevance to the healthcare field, but the specific processes and tasks they support vary widely. Some particular AI technologies of high importance to healthcare are defined and described below.

Machine learning has the potential to provide physicians and hospital staff with data-driven clinical decision support (CDS), paving the way for increased revenue. Deep learning, a subset of AI designed to identify patterns, employs algorithms and data to provide healthcare providers with automated insights.

Examples of AI in Medicine and Healthcare

AI can improve healthcare by promoting preventative medicine and the discovery of new drugs. IBM Watson’s ability to pinpoint treatments for cancer patients is one example of how AI is influencing healthcare, as is Google Cloud’s Healthcare app, which makes it easier for health organizations to collect, store, and access data.

Researchers at the University of North Carolina Lineberger Comprehensive Cancer Center used IBM Watson’s Genomic product to identify specific treatments for over 1,000 patients, according to Insider Intelligence. The product used big data analysis to determine treatment options for patients with tumors that had genetic abnormalities.

Google’s Cloud Healthcare application programming interface (API) includes CDS offerings as well as other AI solutions that assist physicians in making more informed clinical decisions about patients. AI in Google Cloud uses machine learning to extract insights from users’ electronic health records, allowing healthcare providers to make better clinical decisions.

Google teamed up with the Universities of California, Stanford, and Chicago to develop an AI system that predicts the outcomes of hospital visits. This helps to reduce readmissions and the length of time patients spend in hospitals.

Benefits of AI in Healthcare & Medicine

Integrating AI into the healthcare ecosystem provides numerous benefits, including the ability to automate tasks and analyze large patient data sets to provide better healthcare faster and at a lower cost.

Administrative tasks account for 30% of healthcare costs, according to Insider Intelligence. Some of these tasks, such as pre-authorizing insurance, following up on unpaid bills, and maintaining records, can be automated by AI to reduce the workload of healthcare professionals and ultimately save them money.

AI has the ability to analyze large data sets, resulting in patient insights and predictive analysis. Obtaining patient insights quickly assists the healthcare ecosystem in identifying key areas of patient care that require improvement.

AI is also used in wearable healthcare technology to better serve patients. AI-powered software, such as FitBits and smartwatches, can analyze data and alert users and their healthcare providers to potential health issues and risks. The ability to assess one’s own health through technology reduces professionals’ workload and prevents unnecessary hospital visits or remissions.

The post Use of AI in healthcare & medicine is booming appeared first on AICRA.

Researchers at Carnegie Mellon University’s Traffic21 transportation research organization have advised authorities and legislators to evaluate the safety of introducing automation technology into their fleets and educating operators to operate successfully with these systems ahead of time.

“Autonomous driving tools such as pedestrian warnings and lane-centering have the potential to improve the safety and workload of public transit operators, but only if these technologies are integrated properly,” said Sarah Fox, an assistant professor at the Human-Computer Interaction Institute (HCII) and the Mobility21 University Transportation Center researcher. “Automation can create new kinds of safety issues and can intensify work. Transit authorities need to examine the potential for changes now.”

A new policy brief, “How To Make Sense of Bus Transit Automation? Considerations for Policymakers on the Future of Human-Automation Teaming in the Transit Workforce,” outlines the state of automation in public transportation, and discusses the challenges and benefits of autonomous vehicle technology, and offers policy recommendations for federal officials.

Public transportation automation is not a new concept. Since the 1960s, people movers and shuttles have been running on dedicated tracks or lanes without a driver. However, numerous autonomous public transit pilot projects have been conducted in the recent decade to investigate the practicality of driverless transportation on open roads. Vehicles without steering wheels or pedals are included in certain projects, and onboard attendants are ready to assume control with a joystick in the event of an emergency. Other automated technologies, such as forward collision warning, blind-spot recognition, lane-keeping, pedestrian detection, and automatic emergency braking, that are available in some private vehicles have been introduced in public transport fleets.

Regardless of the success of these experiments or the trajectory of autonomous technologies, trained human operators will likely continue to be required for transit buses and vans even as these technologies are implemented. Road dangers, emergency vehicles, circumstances, and changing weather must all be considered by transit operators. They must deal with rowdy and potentially hazardous passengers, as well as provide assistance to elderly or disabled customers.

The safety of everyone inside and outside of their vehicles is the responsibility of the operators. Buses are huge vehicles that travel through congested streets alongside other vehicles, pedestrians, and bicycles. While vans are smaller than buses, they nonetheless pose technological and operational obstacles, making autonomous technology difficult to implement.

While automation has the ability to alleviate some of the constraints faced by transit operators, it also has the potential to create new obstacles and increase the workload. Transit operators must be aware of the risks associated with human-autonomy team interactions and be prepared to manage the intensity of taking over from automation in the most difficult scenarios.

While automation may replace employment, the complexity of autonomous car services may create new professions for overseeing and managing on-road autonomous systems, as well as maintaining extremely sophisticated, computerized vehicles, according to the researchers. Because of the high risks and necessity for safety precautions, trained public transport operators are the ideal candidates for this job.

The post Integrating autonomous driving tech into public transportation appeared first on AICRA.

2. New capabilities and business model expansion-
deploy data and analytics into the enterprise, it opens up new opportunities for businesses to participate in different areas. For example, autonomous vehicle companies, with the reams of data they’re collecting, could identify new revenue streams related to insurance, while an insurance company could apply AI to its vast data stores to get into fleet management.

3. Improved monitoring-
AI’s capacity to take in and process massive amounts of data in real-time means organizations can implement near-instantaneous monitoring capabilities that can alert them to issues, recommend action, and, in some cases, even initiate a response.
For example, AI can take the information gathered by devices on factory equipment to identify problems in those machines as well as predict what maintenance will be needed when thereby preventing costly and disruptive breakdowns, as well as the cost of maintenance work, performed because it’s scheduled rather than because it’s needed.

4. Better quality and reduction of human error-
Organizations can expect a reduction of errors as well as stronger adherence to established standards when they add AI technologies to processes. When AI and machine learning are integrated with technology like RPA, which automates repetitive, rules-based tasks, the combination not only speeds up processes and reduces errors but can also be trained to improve upon itself and take on broader tasks.

5. Minimize operational costs-
Errors can not only postpone the release date of your product, for instance — they can also cost your company a lot. However, you can use AI to minimize the number of errors and improve the efficiency of your company. Here is an example for you.
Most of the company solution is allows plant managers to make better use of the sensor data they already have.
Predict asset failures with enough lead time to take corrective actions before the equipment has a chance to break down while leaving assets that do not need maintenance to continue running.

The post The 5 Most adopted uses of Artificial Intelligence that will change your business appeared first on AICRA.

So, the definitions of S-T-E-M:

Science: The study of Natural World

Technology: Technology loosely refers to any product created to satisfy a need or want. A chair is a technology; thus, could be a pencil. during this context, any product youngsters produce to unravel a haul will be thought to be  https://www.aicra.org/stem-summit-awards/ technology

Engineering: the look method accustomed solve issues

Math: The language of numbers, shapes, and quantities

With these definitions in context, it’s clearer that these components get in hand-in-hand. any individual facing a real-life drawback has to have a decent plan of their setting, have the flexibility to use the resources accessible to handle problems through an experienced style method, and have the flexibility to accurately live numerous quantities associated with the problem at hand.

So, STEM-thinking  https://www.aicra.org/stem-summit-awards/ makes youngsters higher and additional capable those who contribute considerably to society, however, can we introduce such a fancy topic into the carefree world of very little ones? It’s very straightforward. offer youngsters reality issues that exercise totally different skills. this can be not similar to telling a baby “Ramu has 10 mangoes, and his father gave him 10 additional.” youngsters naturally get additional fascinated by the mangoes. the thought is to gift them with issues that have interaction with their curiosity and encourage them to persist until they get an answer. This angle gets constituted in them early in life and helps them face life head-on.

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At the tip of the day, the $64000 objective behind STEM-learning  https://www.aicra.org/stem-summit-awards/  is to assist youngsters to develop to be assured and extremely capable distinctive people World Health Organization plan of the box up no matter venture they opt for

As a result, STEM  https://www.aicra.org/stem-summit-awards/  provides possibilities to help us to transition into a knowledge-based economy and improve our environmental and robotic literacy program  https://www.aicra.org/robotics-literacy-program

Follow your passion in STEM  https://www.aicra.org/stem-summit-awards/

Follow AICRA to be a skilled robotic champion

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The post S+T+E+M Logic – Understanding Stem to Children through STEM Toys appeared first on AICRA.

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Establishing an Excellence (Coe)  https://www.aicra.org/center-of-excellence    will facilitate drive the collaboration, communication, and framework necessary to deliver results. It could be a team or program inside a company that has data and experience to unify and accelerate the trail to turning into a data-driven organization.

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Grooming information culture and information competencies

Marketing the worth of the team

Centres of Excellence https://www.aicra.org/center-of-excellence    compose the central system of any organization. they have to be resilient, collaborating across departments, supporting complicated business processes, serving evolving desires, and innovating new solutions. If only one part fails, the info ability of your entire organization is in danger still reach potency in analytics by establishing Coe’s https://www.aicra.org/center-of-excellence    throughout your organization and investment in individuals, processes, technology, and data.

The All-India Council for Robotics and Automation https://www.aicra.org/center-of-excellence is providing certificates program in industry 4.0 which is beneficial for anyone who is interested in Robotics.

AICRA Benefits of NXR Industry 4.0 CoE

Tomorrow belongs to those who prepare for it today

On-premise internships and Faculty development programs

Alka Sachdeva
Secretary – AICRA

https://www.aicra.org/index

+91 9818990294

alka.sachdeva@aicra.org

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