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The State of AI and Machine Learning in 2023


The slew of AI and ML conferences lined up in 2023, in Pittsburgh, Silicon Valley, and New York, among others, highlights the importance of AI in shaping business transformation and academic research. It underscores the need to stay ahead of trends and innovations in AI and ML technologies.

Artificial Intelligence (AI) and Machine Learning (ML) are making lives easier with groundbreaking products and services. Across industries, C-level executives use AI and ML for data-driven business models to serve their customers better and more efficiently. Companies are leveraging these technologies to solve business challenges and get a bigger slice of the market. AI and ML have transformed how businesses function, working behind the scenes to impact our everyday lives.

As AI technologies (which include ML) gain traction with the democratization of AI, several considerations of ethics and data privacy continue to crop up. Notwithstanding the debates surrounding AI, it has emerged as the most significant technological disruptor transforming lives and business models. Every aspect of our lives, from email spam filters to Netflix recommendations and E-commerce product cross-sells, is an AI technology at play. We can no longer ignore its value or rise in use cases across industries. And students, working professionals, and academics working on IT and Computer Science must be prepared for this revolution in the technology space.

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The State of AI and Machine Learning

The world is being disrupted by technologies incorporating Artificial Intelligence (AI) within almost every aspect of our lives. Since its advent, AI and Machine Learning (ML) have undergone a phenomenal transformation in their deployment of training data and applications across industries.

What began during 1980–1987 as intelligent “expert systems” adopted by enterprises globally soon became the focus of mainstream AI research. Corporations are investing hugely in AI research and the many AI implementations for better business outcomes, efficient manufacturing processes, and more comfortable lifestyles.

But what is the state of AI technologies today? How do we see it in the world of academia? Can we expect more and more use cases as we train machines to think intelligently and learn iteratively from historical data? What are the various industry applications we can expect to see by 2023?

Finally, should you consider investing time and resources in upskilling with AI and ML?

Let us begin by discovering what the state of AI will be in the years to come.

The Academic Rise of AI Technologies

AI became a part of academia in the 2000s, and today, it is the most followed course in online education. Quick placements of AI students into lucrative AI job roles is a major reason. Its importance in academia, however, emerged from its strong appeal in new forms of AI and its democratization.

The digital transformation of business models has proven to be the catalyst for furthering the study and research of AI technology clusters. Data Scientists and AI Engineers are popular job roles that must remain abreast of technological evolutions and best practices. Online communities such as Stack Overflow are platforms that fulfill this need for  AI enthusiasts to share code, knowledge, and research. GitHub is another instance of AI code hosting and versioning for open-source projects and the development of libraries such as TensorFlow.