Webinar from Compliance4All on January 9, 2019 on Supervising a Human Error Free Environment

The tools that the speaker will offer at this course can be used for implementation immediately.

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Fremont, CA: Compliance4All, a leading provider of professional training for all areas of regulatory compliance, is organizing a webinar on January 9, 2019. The topic of the webinar is “Supervising a Human Error Free Environment: You can do a Lot More than you Think”, and the speaker is Ginette Collazo, an Industrial-Organizational Psychologist.

To enroll for this webinar, please visit https://www.compliance4all.com/control/w_product/~product_id=502284LIVE

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In many industries, despite the many advances that have shaped safety standards, human error is still a factor to be reckoned with seriously. Human error, despite taking what one thinks are the best precautions, can lead to loss of quality, processes and production, not to mention the financial one.

What is needed is a comprehensive approach to elimination of human error. While it is acknowledged that human error can never be eliminated, one can take care from many angles and perspectives to minimize it. This should start at the design stage. Good Manufacturing Practices (GMP) regulations need to be implemented in complete faith. The approach should be to identify the root of the human error first and then take the necessary steps to address them.

These should be done in complete sync and harmony with the concerned staff members in charge of safety and in accordance with the principles of GMP. The specific methodologies needed for implementing these will be the essence of the learning this 90-minute webinar will impart.

The speaker will explain strategies with which the unit can use a specific methodology with which to sync and approach issues in GMP related environments that uses a method for correcting, preventing and avoiding recurrence of these issues. She will also describe the practical approaches that can be adhered to while supervising on the floor.

She will also drive home the importance of supervision in reducing and preventing human error and show ways by which to implement metrics that can help track and measure human error rates. The five elements of ensuring a human error-free environment will be discussed at this webinar. The tools that the speaker will offer at this course can be used for implementation immediately.

This webinar will serve the following learning objectives:

  • Understand human error: factors and causes
  • Understand the importance of supervision in creating a high reliable group for both regulatory and business compliance
  • Discuss issues related to supervision and how to avoid traps that will allow errors to occur
  • Identify Root Causes and CAPA associated to supervision.
  • Learn how to measure human error rates at your department and keep track of metrics
  • Identify what I can do to support human reliability at the site.

This course will be beneficial to Supervisors, Managers and Directors, Operations, Manufacturing, Plant Engineering, QA/QC Staff, Process Excellence/Improvement Professionals, Industrial/Process Engineers, Compliance Officers, Regulatory/Legislative Affairs Professionals, and General/Corporate Counsel.

About the speaker:

Ginette Collazo, Ph. D. is an Industrial-Organizational Psychologist with 20 years of experience that specializes in Engineering Psychology and Human Reliability, disciplines that study the interaction between human behavior and productivity. She has held positions leading training and human reliability programs in the Pharmaceutical and Medical Device Manufacturing Industry.

How Artificial Intelligence is Influencing Our Daily Lives

This is the foundation of recommendation services which helps customers to explore more.

The word artificial intelligence (AI) brings the pictures of robots and machines in our mind. Surprisingly AI has already melded as a part and parcel of our daily lives. “Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we will augment our intelligence”- Ginni Rometty. Chairman, President & CEO of IBM. AI has a great influence on human lives and it will dramatically grow in the years to come. The following are the ways in which AI has delved into human lives:

Virtual Personal Assistant:

It all starts by saying “Ok Google”. All intelligent personal assistants like Siri, Google Now and Cortana are available on various platforms which help to find useful information when we ask with our own voice. Say for example “Remind me to book tickets today” and the assistant will give a quick response by digging more information, relying on existing data on your phone and sending requests to other applications. Artificial intelligence plays a crucial role in retrieving the data and further using the information to deliver best results. For example, Microsoft’s Cortana meticulously learns about its users and is able to anticipate their actions. Virtual intelligent assistants can process a huge amount of data from various sources to learn and understand more about the users.

Prediction on Purchase:

The e-commerce industry is highly dependent on predicting the purchases by the consumers. Amazon is developing an anticipatory shipping project which forecasts to send the items to the customers. This will completely eliminate the need for a last-minute visit to online stores. On the other hand, offline stores also work in a similar way. When customers visit them, sometimes they are awarded coupons which have been selected in accord with predictive analytics algorithms.

Fraud Detection:

We all receive emails or statements regarding the use of our debit/credit card at a specific point of sale.  Most of the banks send these messages to reduce the chances of fraudulence in the account. AI is the technology deployed to monitor fraudulency. In most of the cases, algorithms are given a large sample of fraudulent and non-fraudulent purchases and asked to look for signs that a transaction falls into one category or another. After repetitive processes, systems will be able to spot a fraudulent transaction based on the indicators it had learned through a previous training exercise.

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Music and Movie Recommendation:

Must have apps like Spotify, Pandora and Netflix push out recommendations to us based on the interest and experiences made in the past. This is made by closely monitoring the choices customers make and then inserting an algorithm helps the apps to provide recommendations. For instance, a song might have “guitar riffs” listed as characteristics; if someone likes that song there is a probability that the same person will like other songs with same characteristics. This is the foundation of recommendation services which helps customers to explore more.

News Generation:

AI programs can write about flabbergasting news all around the globe. For example, Yahoo uses AI to write simple financial summaries, sports recap and fantasy sports reports. Automated Insights, the company behind the Wordsmith software suggests that e-commerce, financial services and other data-driven industries are using these applications extensively. So, the concept has been proven, and it’s likely that more and more reports will be generated by these means.

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Online Customer Support:

In many websites, customers are given an opportunity to chat with the customer support representative while they are browsing. In most of the cases, customers will be chatting with a rudimentary AI. Many of these chat support bots providing little more than automated responders, but some of them are actually able to extract knowledge from the website and present it to customers when they ask for it. Basically, chatbots need to adapt to understanding natural language, which is rather a difficult proposition; the way in which customers talk and the way in which computers talk is very different. So, teaching a machine to translate between the two isn’t easy. But with rapid advances in natural language processing (NLP), these bots are getting better in no time.

For More Read at https://www.analyticsinsight.net/how-artificial-intelligence-is-influencing-our-daily-lives/