Monthly Archives

November 2021

How AI Is Unleashing Productivity In Manufacturing Industry

By | Blog

Manufacturers who continue to invest in analytics and AI-driven pilots see the pandemics’ hard reset as an opportunity to become stronger, more resilient, more resourceful. They’re developing new methods to differentiate themselves while driving down costs and safeguarding margins by combining human experience, insight, and AI techniques. And they’re all up for the task of maintaining growth in difficult times. They aren’t the only ones who have accepted the challenge.

Manufacturing’s mission is to produce consistently high quality at the lowest possible cost and with the quickest possible turnaround time. As a result, the most challenging problems are delivering consistently high-quality goods while keeping prices down and producing at a quick pace. Here are some examples of how AI in manufacturing may assist:

Manufacturing’s Real-Time Future Requires AI

Many advantages of real-time monitoring include fixing production bottlenecks, checking scrap rates, fulfilling client delivery deadlines, and more. It’s a fantastic source of contextually relevant data for machine learning models to learn from. Both supervised and unsupervised, machine learning algorithms can understand real-time data from numerous production shifts in seconds and uncover previously undiscovered processes, products, and workflow patterns.

Strengthening Human Capabilities

Artificial intelligence’s ultimate objective is to make processes more efficient — not by replacing humans but by filling the gaps in their abilities. People and industrial robots can work together to make work less laborious, boring, and repetitive while improving accuracy and efficiency. To assess the integrity of each item and its internal structure, the program uses industrial radiography (X-ray) and photographs to inspect manufacturing components. The examination procedure can be exceedingly laborious and error-prone when just a specialized specialist is present. Assisted Defect Recognition, on the other hand, uses computer vision and machine learning to analyze images of inspected parts, identify potential defects (including those that the human eye might miss), and learn and improve the technology’s accuracy based on human acceptance or corrections of the results.

Preventative Maintenance should be enabled.

According to a Capgemini report, maintenance accounts for over 30% of AI use cases in manufacturing. This makes sense, given that the biggest value from AI may be achieved in manufacturing by employing it for predictive maintenance (estimated to be worth $0.5 trillion to $0.7 trillion globally).

Predictive maintenance examines machine performance data in the past to predict when they are likely to break, reduce the amount of time they are out of service, and pinpoint the core cause of the problem. Yield-energy-throughput (YET) analytics may be utilized to guarantee that those specific machines are as efficient as possible while in operation, allowing them to enhance yields and throughput while consuming less energy.

How AI asset optimizers helped a cement business

A cement manufacturer began a throughput improvement at the beginning of 2016 in response to increasing market demand. Hardware improvements increased fee rates by 8% while implementing an off-the-shelf sophisticated process-control solution from an equipment vendor increased fee rates by another 2%. The customer, on the other hand, desired to shift the needle even more.

Celbridge Science offers AIaaS for organizations that seek to benefit from AI technologies without a massive investment in People, Process & Technology.

To connect, email us at patrick.hogan@celbridgescience.com or call us anytime on 1636-594-2242.

Genomic Analytics Reshaping The Healthcare Industry

By | Blog

Healthcare is the most integral part of our life and market. This industry is contributing more than enough to the lives of individuals. It is hard to imagine our lives without proper facilities of the healthcare industry; with its addition, we can live a healthy and prestigious life ahead.

Every day new inventions are introduced in this industry, from pandemics to new technology, things are advancing here. The same applies to genomic analysis, which is reshaping the healthcare industry worldwide and providing world-class facilities.

What is genomic analysis?

Under genomic analysis, scientists do a sample of DNA & RNA. They found out the truth of genetics or the diseases required or inherited from the previous generation. All these aspects are identified through genomic analysis; without this process, many clues will remain clueless

Are genomic analytics results helping us?

Since the evolution of science, genomic analysis has contributed an equal amount of results to deliver accurate results. Compared to earlier times, when it takes months to prepare the reports and cost thousands of dollars, this period has made it more accessible. Mainly it takes almost decades to reach this stage where DNA reports become feasible for most of us.

In the healthcare industry, we are still relying on the genomic results lying beneath the DNA layers. Genomics has become a sensor for our issues that can be cured through accurate results. Through the help of genomic results, one can identify the root cause of diseases wherein health professionals offer the best solution to an illness.

Furthermore, one can look into the data reports of a patient where genes carry disease. These are rare cases; however, they create an impactful result with an effective solution. Genes diseases describe why some treatments are not successful for every patient, as they are diagnosed with a genetic health problem.

Accurate genetic diagnosis test

Either you are in your 50s or a newborn baby, your genes will not change for a lifetime. Other diagnosed tests may provide data related to a specific period; however, a genetic test provides data that remains consistent for the whole life. Although, a genetic test is required when circumstances are suspicious to check the family history.

As we are becoming more proactive, we may start delivering reports within a few hours only. It records fingerprints, DNA, RNA, blood samples, etc. Yet, it still takes time to reach that point. Scientists are actively looking for alternative ways to make Genomic Analytics more profound.

Is the healthcare industry reshaping with genomic analytics?

Undoubtedly, genomic analytics is reshaping the healthcare industry. From day one to now, many new advancements have been made in this test, improving its accuracy rate and efficiency part. Simultaneously, genomic analytics is also reshaping other industries, such as the law sector, where reports help the bureau teams find the suspect or victim.

Conclusion: We are sure that genomic analysis is creating a positive influence on the healthcare industry by reshaping it. In addition, this test is becoming more robust with a sense of higher accuracy.

We at Celbridge Science are ready to partner with our clients empowering them with analytics tools to deliver enhanced processes and organizational value. To connect, email us at patrick.hogan@celbridgescience.com or call us anytime on 1636-594-2242.