Coffee with Casner

WHAT IS IT?

Way of teaching computers to do tasks

WHY IMPORTANT
n the past, to do anything computers relied on detailed, step-by-step instructions written by a person. But with machine learning, computers pick up new skills on their own, using examples or experience. This makes machine learning a powerful form of artificial intelligence or AI. A

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WHAT IS IT?

AI solutions are not just a key investment opportunity for large corporations but also a major contributor to addressing countless day-to-day problems in our lives.

WHY IMPORTANT
Human beings came first, and the machine followed. As long as our passion for growth and our need for perfection is alive, machine learning algorithms will continue to improve and become increasingly accurate, helping us achieve seemingly impossible success and accuracy rates.

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WHAT IS IT?
Minimize human intervention and allow machines to operate independently.

WHY IMPORTANT

To date, AI has gone through three phases of its development. Descriptive analysis to answer what happened, diagnostic analytics to answer why it happened and predictive analytics to answer what might happen next. The analytical and forecasting power of AI has increased tremendously, but it won’t stop there.

The problem with the current generation of AI is it needs to receive data from humans. This reduces the problem-solving power of artificial intelligence in dealing with new events. There is no denying that AI has made it easier for humans to predict the future. But, dealing with future events, like another pandemic, needs a more powerful AI.

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WHAT IS IT?
More than 140,000 U.S. employees surveyed since the onset of the pandemic. These insights paint a vivid picture of how different offices will be and the unique dynamics of a highly flexible workplace.

WHY IMPORTANT

1. Where are employees working now, and where will they work in the future?
2. What happens if organizations do not support remote flexibility?
3. Why do many remote-ready employees prefer hybrid work?
4. What will the future workweek look like?
5. How can we make hybrid work more productive and engaging?

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WHAT IS IT?
1. EV revolution brings wholesale changes to auto manufacturing

2. e-commerce boom will accelerate

3. More robots will appear in more places – workers need new skills

WHY IMORTANT
In a future with a high prevalence of robots in workplaces, engineers and staff will need to be retrained. More robotic training will be demanded in schools, colleges and universities for the skills to program, operate and maintain robots for an automated future.

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WHAT IS IT?      

Leveraging three cognitive principles—active recall, metacognition, and spaced repetition— flashcards help you learn TWICE as efficiently as any other study method.

WHY IMPORTANT

Flashcards are hands-down the most effective way for motivated learners to study and retain factual knowledge, especially when the flashcards are used properly. And there are good scientific reasons for this. Flashcards are effective because they make you pull information out of your memory (instead of just reading or recognizing it), and this helps you build memories quicker and perform much better on tests.

THE APP

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WHAT IS IT?
Digital transformation accelerated by the pandemic has seen many disruptive technologies deployed across industries. We look at the most common types

WHY IMPORTANT
Disruptive technology is an advancement that changes the way consumers, industries, or businesses operate. Disruptive techs have the potential to replace age-old practices. Few areas of business are seeing more such changes than supply chains. These are evolving to become digital networks that are on-demand and always-on. As such, they have the potential to deliver massive economic and environmental rewards, boosting productivity and sustainability, driving new markets, and encouraging innovation as digital transformation continues.

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WHAT IS IT?
With hyper-automation, organizations can process data intelligently by using the right technology- Machine Learning (ML), Optical Character Recognition (OCR), NLP and ensure that their people achieve the right work-life balance which is crucial to retaining valuable human resources.

WHY IMPORTANT
It is humanly impossible to process data of such mammoth proportions without any errors. A single error can have an avalanche effect on the entire process and cost the organization dearly.

It is this pain point that hyper-automation seeks to address with the aid of Artificial Intelligent and Robotic process automation. Any industry which involves manual and repetitive processes with unstructured data stand to benefit the most from hyper-automation

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