How can you adapt to new AI technologies in the workplace?

I have found that sometimes the smallest things are the hardest to get right so it is fundamental to have a basic understanding of LLMs and other AI models to understand how to get the most out of them.

I agree ???? The field of AI is very much broad and it is evolving exponentially... Every day we find new tools adopted with AI... However in order to achieve efficiency in such a state of the arc technology one must be strong in Fundamentals.

Learning alone is not enough...we must practice it...Like we say in Mathematics, lots and lots of practice is essential...Real world datasets are complex and to develop the state of the arc model one must have analytical, creative and problem solving skills????

When we started KonvertAI two years ago, AI was still an emerging technology. Yet we saw great potential for AI assistants to support businesses by automating repetitive tasks. By taking an open-minded approach and dedicating time to learn about AI, I've been able to lead KonvertAI in developing customized chatbots for lead gen, sales, and support across industries like real estate, healthcare, and ecommerce. It hasn't always been easy, but by embracing innovation, we've stayed at the cutting edge. Our clients seem to agree - our Net Promoter Score increased 20 points last year! I'm proud of my team for embracing change.

Every new technology creates new job opportunities. Most individuals don't seek them positively. They just look at the down side of it. See AI is a new technology but it is exponentially growing everyday. When an individual has a good knowledge over it then no matter he will be the leader who leads the AI community.

I have found the easiest way to get organisation experimenting with AI is through fun challenges, something that can be completely unrelated but shows them what is possible with these tools. We all want to have fun and that is a form of experimentation.

See in order to Ace something we need to keep on playing with...For example when the 1st smart phone was launched in 2002 none was able to use it wisely. Slowly the usage and the understanding of how it works leaped. Finally, at present even kids know how to use it...For this we didn't go for any class...We just learnt by experiment. So to learn how to use AI tools we need to make efforts to do experiments on it and self learn.

1. Data Privacy and Ethics: Understand and uphold ethical standards regarding data usage and privacy when implementing AI solutions. 2. Integration with Existing Systems: Ensure seamless integration of AI technologies with current workflows and systems for optimal performance. 3. Change Management: Implement strategies to manage and support employees through the transition, addressing concerns and facilitating adoption. 4. Security Measures: Prioritize cybersecurity measures to protect AI systems and data from potential threats or breaches. 5. Return on Investment (ROI): Evaluate the potential ROI of AI implementations to justify investments and measure the impact on business goals.