Exploring the Latest Developments in AI with IT Professional Blake Fishman

3 Mins read

Artificial Intelligence (AI) is one of the most exciting areas of technology at the moment, and Blake Fishman, an IT professional based in Florida, is at the forefront of this exciting field. Blake has spent nearly 20 years in the IT industry, and he has seen firsthand how AI has transformed the industry. He believes that the current landscape is the most promising that it has been in his tenure, and he is passionate about bringing advanced IT solutions to small businesses and startups.

Below are some of the most significant AI trends that are shaping the industry, including the rise of ChatGPT.

1.   Natural Language Processing (NLP) and Conversational AI

Natural Language Processing (NLP) is an AI technology that enables machines to understand and interpret human language. NLP is already used in many applications, such as voice assistants and chatbots. However, the technology is rapidly evolving, and we can expect to see more advanced NLP applications in the future.

One of the most significant trends in this area is conversational AI, which allows machines to have natural and meaningful conversations with humans. ChatGPT, for example, is a large language model that is capable of generating human-like responses to text-based conversations. This technology has the potential to transform customer service and support, as well as improve communication in various industries.

2.   Computer Vision and Image Recognition

Computer vision is an AI technology that enables machines to interpret and understand visual data, such as images and videos. Image recognition, a subset of computer vision, is already used in many applications, such as facial recognition and object detection. However, the technology is rapidly evolving, and we can expect to see more advanced image recognition applications in the future.

One of the most significant trends in this area is the use of computer vision for autonomous vehicles. Self-driving cars rely on computer vision to perceive the environment and make decisions based on that information. Computer vision is also being used in other industries, such as manufacturing, where it can be used to identify defects in products and improve quality control.

3.   Explainable AI

Explainable AI (XAI) is an emerging field of AI that aims to make AI more transparent and understandable. XAI algorithms are designed to provide explanations for their decision-making processes, allowing humans to understand why a particular decision was made.

This technology has the potential to transform industries that rely heavily on AI decision-making, such as healthcare and finance. By providing explanations for their decisions, XAI algorithms can help build trust in AI systems and ensure that they are making decisions that align with human values.

4.   Edge AI

Edge computing is a technology that enables data processing and storage to be done locally, rather than in the cloud. Edge AI is the application of AI algorithms to edge computing, allowing machines to process and analyze data in real time.

Edge AI has the potential to transform industries that require real-time decision-making, such as manufacturing and healthcare. By processing data locally, edge AI can reduce latency and improve decision-making speed, making it ideal for applications that require real-time responses.

5.   AI Ethics

As AI becomes more prevalent in our daily lives, the issue of AI ethics is becoming increasingly important. AI systems are only as unbiased as the data they are trained on, and there is a risk of perpetuating bias and discrimination if the data used to train AI systems is biased.

AI ethics is an emerging field that aims to address these issues by developing ethical guidelines and frameworks for the development and deployment of AI systems. This includes ensuring that AI systems are transparent and accountable and that they are designed to align with human values.


AI is a rapidly evolving field, with new advancements and applications emerging all the time. From NLP and chatbots to computer vision and AI ethics, the possibilities are endless. While there are concerns around the ethical implications of AI, it is clear that AI has the potential to revolutionize numerous industries and improve our lives in countless ways. By leveraging these trends, we can help drive innovation and shape the future of AI.

As AI continues to develop, it will be exciting to see what new innovations and breakthroughs emerge. And with models like ChatGPT, we may soon see AI that is even more capable of engaging with us in a natural and human-like way.

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