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Data and analytics have played a key role in all four dimensions of digital transformation—that is, customers, employees, products and operations—by helping businesses understand these functions and by offering actionable insights. These insights have been necessary to enable timely interventions to optimize operations or offer excellent customer experience by continuously innovating products and services.

Likewise, with generative AI becoming more widely available through ChatGPT from OpenAI and BARD from Google, among other products, the power of AI can help break innovation barriers and transform businesses. Generative AI is a subset of AI capable of creating new content in the form of text, code, voice, images, videos and processes in response to user prompts.

AI and analytics solutions powered by generative AI will likely have significant impact on all four dimensions of digital transformation to be innovative and accelerate the journey.

AI is quickly becoming an essential part of daily work. It’s already being used to help improve operational processes, strengthen customer service, measure employee experience, and bolster cybersecurity efforts, among other applications. And with AI deepening its presence in daily life, as more people turn to AI bot services, such as ChatGPT, to answer questions and get help with tasks, its presence in the workplace will only accelerate.

Much of the discussion around AI in the workplace has been about the jobs it could replace. It’s also sparked conversations around ethics, compliance, and governance issues, with many companies taking a cautious approach to adopting AI technologies and IT leaders debating the best path forward.

While the full promise of AI is still uncertain, it’s early impact on the workplace can’t be ignored. It’s clear that AI will make its mark on every industry in the coming years, and it’s already creating a shift in demand for skills employers are looking for. AI has also sparked renewed interest in long-held IT skills, while creating entirely new roles and skills companies will need to adopt to successfully embrace AI.

According to Infosys, the company’s AI-first specialists and data strategists, who are responsible for delivering Infosys Topaz AI-first services, solutions, and platforms, will be part of shaping the curriculum of these courses. Their expertise will ensure that learners are equipped with future-ready skill sets.

Infosys further explains that it will provide certification in AI and Generative AI skills, which are crucial for securing jobs, through its Infosys Springboard Virtual Learning Platform. The certification program will offer a diverse range of courses covering various topics related to AI. These courses include an introductory course on AI and Generative AI, with a specific emphasis on deep learning and natural language processing. Additionally, there will be a masterclass on AI and the impact of Generative AI.

Furthermore, Infosys will also provide a customised course on ‘Citizens Data Science’, which will encompass different facets of the data science discipline. The course will cover topics such as Python programming, linear algebra, probability and statistics, and exploratory data analysis. Upon successfully completing the course, learners will receive a certificate.

Last spring, engineers in Barcelona packed up the sperm-injecting robot they’d designed and sent it by DHL to New York City. They followed it to a clinic there, called New Hope Fertility Center, where they put the instrument back together, assembling a microscope, a mechanized needle, a tiny petri dish, and a laptop.

Then one of the engineers, with no real experience in fertility medicine, used a Sony PlayStation 5 controller to position a robotic needle. Eyeing a human egg through a camera, it then moved forward on its own, penetrating the egg and dropping off a single sperm cell. Altogether, the robot was used to fertilize more than a dozen eggs.

The result of the procedures, say the… More.


Meet the startup companies trying to engineer a desktop fertility machine. If they succeed, it could make IVF cheaper and more widespread.

Harvard University plans to use an AI chatbot similar to ChatGPT as an instructor on its flagship coding course.

Students enrolled on the Computer Science 50: Introduction to Computer Science (CS50) programme will be encouraged to use the artificial intelligence tool when classes begin in September.

The AI teacher will likely be based on OpenAI’s GPT 3.5 or GPT 4 models, according to course instructors.

Understanding the basics of artificial intelligence in healthcare.

Healthcare spending simply isn’t keeping up. Healthcare systems will struggle to remain viable unless big structural and transformational changes are implemented. Automation, along with artificial intelligence (AI), has the potential to revolutionize healthcare.

Artificial Intelligence in Healthcare is utilized to analyze and avoid illness treatment procedures. AI is employed in many fields of healthcare, including diagnosis, drug research, medication, patient monitoring care centers, and so on.

Just to shake it up a little bit more, Chatbot Arena is an LLM benchmark platform created by the Large Model Systems Organization (LMSYS Org). It is an open research organization founded by students and faculty from UC Berkeley.

Their overall aim is to make large models more accessible to everyone using a method of co-development using open datasets, models, systems, and evaluation tools. The team at LMSYS trains large language models and makes them widely available along with the development of distributed systems to accelerate the LLMs training and inference.


Chatbot Arena is a benchmark platform for large language models, where the community can contribute new models and evaluate them.