Kenya has been ranked fifth in Africa on the government's readiness to implement Artificial Intelligence. Kenya has been ranked fifth in Africa on the government's readiness to implement Artificial Intelligence (AI) in the delivery of services to the public, a new global survey shows. The 2022 edition of the annual Government AI Readiness Index released by Oxford Insights shows Kenya's overall score of 40.36 percent placing it behind Egypt, South Africa, Tunisia and Morocco. Globally, Kenya was ranked position 90 as countries prepare the ground for disruption expected from the new technology. On the technology sector pillar that examines the availability of requisite skills to enable AI adoption, the country posted a dismal score of 28.76 percent which is below the world average of 35.17 percent.

In a classic case of finding a balance between costs and benefits of science, researchers are grappling with the question of how artificial intelligence in medicine can and should be applied to clinical patient care – despite knowing that there are examples where it puts patients' lives at risk. The question was central to a recent university of Adelaide seminar, part of the Research Tuesdays lecture series, titled "Antidote AI." As artificial intelligence grows in sophistication and usefulness, we have begun to see it appearing more and more in everyday life. From AI traffic control and ecological studies, to machine learning finding the origins of a Martian meteorite and reading Arnhem Land rock art, the possibilities seem endless for AI research. The genuine excitement clinicians and artificial intelligence researchers feel for the prospect of AI assisting in patient care is palpable and honourable. Medicine is, after all, about helping people and the ethical foundation is "do no harm."

In 2022, the Engineering School of Information Technologies, Telecommunications and Control Systems of UrFU launched a new master's program, Artificial Intelligence Engineering. Here students will learn to create large software systems that use machine learning. Bachelor's graduates can enter the program, the main thing is to have a good basic knowledge of mathematics. Programming skills are welcome but not required. Everything that is necessary for work is taught in the master's program, including the Python programming language.

In the 21st century, artificial intelligence for business is like the invention of electricity over a century ago. Nowadays, AI technologies are also revolutionizing the work of all sectors of the economy. The main thing is to properly implement AI in your business. Hundreds of businesses have failed, spending millions of dollars in the pursuit of innovation. Meanwhile, it is worth starting small to achieve great things.

Data analysis is continuous in machine learning.

The first model is the "hub" model. The "hub" model, as the name suggests, focuses all AI and analytics systems into a central hub. A central hub for Artificial Intelligence is perfect when deploying new AI systems, as it provides a fully centralized team to handle every step of the implementation. A "hub" model should be gradually developed over time, as the task of developing such a large unit of the business would be very complicated and time consuming all at once. The way the "hub" model is set up is that the systems and teams involved in AI are in a centralized location, loaning out their experience to the different business units whenever necessary.

Artificial intelligence (AI) and machine-learning (ML) have quickly grown beyond a few major tech companies and hardcore academic researchers. Every marketing organization can tap into the power of AI to streamline operations and grow the business. The new book The AI Marketing Canvas: A Five-Stage Road Map to Implementing Artificial Intelligence in Marketing provides a growth framework for business and marketing leaders to implement AI using a five-stage model called the "AI Marketing Canvas." On this episode of Marketing Smarts, I speak with co-author Rajkumar Venkatesan about how he and his co-writer developed those stages by studying leading global brands. We cover examples of brands―including Google, Lyft and Coca-Cola―that have successfully woven AI into their marketing strategies. This is not a conversation about coding for AI models. Raj and I talk about how marketing leaders can go from "zero to hero" with AI in marketing, and what that means for your team and your company culture. Listen to the entire show now from the link above, or download the mp3 and listen at your convenience.

Applications of sophisticated technologies in business operations have gradually evolved over the past few years and resulted in a remarkable change in the way businesses are operated. Integration of the latest technologies has drastically improved business results and enhanced their functioning. The implementation of Artificial Intelligence has become very common these days with the growing demand and continuous advancement in the field of AI. Artificial intelligence system is a term used to define the way computers can behave in a particular business environment. AI provides businesses with a competitive advantage while accelerating the decision-making process, enabling organizations to build stronger relationships with customers while increasing customer engagement, thereby enhancing the customer experience.

The railways is set to go big with artificial intelligence and data analytics to improve its operational efficiency and has tied up with the Indian School of Business in Hyderabad to analyse the data generated by the national transporter, Railway Board Chairman V K Yadav said. He said the railways will set up a Centre for Excellence in this regard in the next three months. The Railway Board has taken a decision to appoint a Chief Technology Officer (CTO) in every zonal railways whose mandate will be to keep track of emerging technologies in analytics and artificial intelligence (AI) and use it in the rail system, Yadav said. "We have passengers-related data, train operations-related data, freight data and even asset-related data. We want to analyse all this data with the help of AI and analytics and use it in our Passenger Reservation System (PRS), introduction of new trains and even predictive asset maintenance. We have tied up with the Indian School of Business (ISB) for this," he said.

Artificial Intelligence is playing an ever more important role in business. Every year, we see a fresh batch of executives implement AI-based solutions across both products and processes. But do you know how they do it? And if you were to try the same, would you know how to achieve the best results? By the end of this article, you will -- you'll see precisely how you can use AI to benefit your entire operation. As is crucial with everything AI, let's start by grounding ourselves in data.