THE WORLD AI

Artificial intelligence (AI) transformation is the revision of business processes to become more intelligent and efficient through the power of AI technology. Over the last two decades, almost all organizations have undergone a digital transformation, integrating digital technologies such as computers, networks, and software to improve business functions. With technology rapidly advancing, AI is the next step in digital transformation.

AI transformation can improve many aspects of enterprise including customer service, IT, and sales. AI has the ability to automate repetitive processes, analyze data to provide insights and run predictive analyses on business operations. A large percentage of businesses report they are already using AI in some aspect of their operations or plan to implement it in the near future.

The field of artificial intelligence (AI) has come a long way since its inception, evolving from the realm of science fiction into an increasingly indispensable technology that’s transforming industries and lives worldwide. With advances in machine learning, natural language processing, and computer vision, AI is no longer a futuristic dream but a current reality. In this article, we explore the evolution of AI, its impact on various industries, and the potential it holds for the future.

Artificial Intelligence (AI) is making rapid strides by showcasing what it can do in various fields. Recently, many social media users have been posting images of AI-generated artwork. These are based on prompts given by users on different platforms, which are free to use. While some of these images are cute, others paint a ghastly picture. And now, one content creator has posted a video of AI-generated artwork on Instagram that shows various stages of human evolution and predicts what is coming. The video has amazed as well as shocked the internet.

The 39-second clip has also been shared on Twitter and other social media platforms. It starts by showing a monkey and show how modern-day humans evolved from there.

Artificial Intelligence has been the talk of the decade and each year, there’s been a growth in its adoption, evolution, and capabilities to resolve business problems of cost, profitability and sustainability. And at this fast pace, more and more organizations are exploring artificial intelligence (AI) and creating business cases to bring it home.

This paper is an attempt to understand AI, its types and their benefits, and key trends and application areas of AI. It also looks at the right way to approach an AI project and justify a business case.

What is AI

At times, we forget to understand the meaning of AI and tag any kind of automation as AI.

Automation focuses on the use of technology to do human tasks, which are repetitive in nature by following a defined step-by-step process. This common definition of automation is often confused with AI. While automation is the start of the roadmap to AI, AI emulates human performance by learning from it.

AI is dependent on the availability of data and the quality of data from which it learns. It works by combining large volumes of data and intelligent algorithms, and learns automatically from patterns and attributes of the data.

Quick glance at common AI technologies

There are many types of AI. At a broad level, here are some of the sub-fields of AI. Each of these types complement others in many business applications.

Machine Learning – Machine Learning (ML) is sometimes also used as a synonym to AI.  While AI is a broader term, ML focuses on applications being trained with the help of algorithms, big data, and APIs. ML platforms are used for predictive analysis and decision-making.

Neural Networks and Deep Learning Platforms – Neural networks replicate human brain where information is retrieved from external sources, is passed through various nodes (units), and is categorized and analyzed to derive meaningful insights. Deep learning platforms use neural networks where data undergoes changes and refinements based on the inputs received which is further used for predictions and decision-making.

Virtual Agents – These are computer software/interfaces that can have intelligent conversations with customers to provide them solutions just like humans. These are in the form of chat bots, which are trained to interact with humans on customer service apps and portals and are available 24×7.

Decision Management – This is a platform organizations use to drive insights for optimized operational decisions. It receives inputs from various disjointed systems. These are used where high volume decision making is required especially for customer service.

Natural Language Processing and Natural Language Generation – This AI field is the most widely used application in business. It is a medium where a machine generates data and gives output based on the natural language (text/speech) input it receives.

NLG on the other hand converts data into text or language at a high speed for a human to read. This is used to create business reports, financial reports etc. where a lot of human effort is involved if done manually or with any other tool.

AI AND VR TECHNOLOGY

AI and VR technology will transform education, offering personalized and immersive learning experiences. However, successful implementation requires consideration of ethical and equity issues, and a focus on human interaction. This article explores the potential impact and necessary steps for success.

    AI and VR technology have the potential to revolutionize the education landscape and improve the learning experience for students. However, effective implementation requires careful consideration of ethical, equity, and privacy issues, as well as a focus on human interaction and traditional teaching methods. By addressing these challenges and working together, businesses and educators can help learners reach their full potential and prepare them for the workforce of the future.

Google Engineers ‘Mutate’ AI to Make It Evolve Systems Faster Than We Can Code Them

Much of the work undertaken by artificial intelligence involves a training process known as machine learning, where AI gets better at a task such as recognising a cat or mapping a route the more it does it. Now that same technique is being use to create new AI systems, without any human intervention.

For years, engineers at Google have been working on a freakishly smart machine learning system known as the AutoML system (or automatic machine learning system), which is already capable of creating AI that outperforms anything we’ve made.

Now, researchers have tweaked it to incorporate concepts of Darwinian evolution and shown it can build AI programs that continue to improve upon themselves faster than they would if humans were doing the coding.

The new system is called AutoML-Zero, and although it may sound a little alarming, it could lead to the rapid development of smarter systems – for example, neural networked designed to more accurately mimic the human brain with multiple layers and weightings, something human coders have struggled with.

“It is possible today to automatically discover complete machine learning algorithms just using basic mathematical operations as building blocks,” write the researchers in their pre-print paper. “We demonstrate this by introducing a novel framework that significantly reduces human bias through a generic search space.”