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The report description of generative AI stated:

Salesforce’s survey shows that age and employment status are major factors in AI adoption.

Every few years comes a disruptive technology that catalyzes the development stages of not just companies but also society as a whole. Generative AI may not be as big as the invention of the internet but it is a foundational block to create a new digital transformation aided by AI.

The reason why Generative AI is one of the most exciting chapters in this journey of transformation is because the technology comes very close to imitating human quality of output. It sparks a very controversial debate about its advantages and disadvantages, especially in a country like ours with a large disposition to lose in terms of jobs that can be replaced by AI. But let’s look at our own journey of digital transformation closely. India has always charted a strong developmental course in terms of the tech industry with robust manpower, unmatched pricing, and a very dynamic workforce that has placed our country sixth in terms of AI investments between 2013–2022. Here, we do have to be mindful that our journey as a country for any disruptive technology may look completely different than others.

Other questions to the experts in this canvassing invited their views on the hopeful things that will occur in the next decade and for examples of specific applications that might emerge. What will human-technology co-evolution look like by 2030? Participants in this canvassing expect the rate of change to fall in a range anywhere from incremental to extremely impactful. Generally, they expect AI to continue to be targeted toward efficiencies in workplaces and other activities, and they say it is likely to be embedded in most human endeavors.

The greatest share of participants in this canvassing said automated systems driven by artificial intelligence are already improving many dimensions of their work, play and home lives and they expect this to continue over the next decade. While they worry over the accompanying negatives of human-AI advances, they hope for broad changes for the better as networked, intelligent systems are revolutionizing everything, from the most pressing professional work to hundreds of the little “everyday” aspects of existence.

One respondent’s answer covered many of the improvements experts expect as machines sit alongside humans as their assistants and enhancers. An associate professor at a major university in Israel wrote, “In the coming 12 years AI will enable all sorts of professions to do their work more efficiently, especially those involving ‘saving life’: individualized medicine, policing, even warfare (where attacks will focus on disabling infrastructure and less in killing enemy combatants and civilians). In other professions, AI will enable greater individualization, e.g., education based on the needs and intellectual abilities of each pupil/student. Of course, there will be some downsides: greater unemployment in certain ‘rote’ jobs (e.g., transportation drivers, food service, robots and automation, etc.).”

This talks about the changing dynamics of jobs and relation to AI. While there are a lot of apprehensions of AI killing jobs but it highlights that there are several new jobs being created by AI. It also stresses the need for professionals and students to reskill themselves in areas as diverse as AI and automation. So the argument that AI is going to kill jobs is not valid. Instead it enforces the argument that reskilling is most important.

LinkedIn: https://www.linkedin.com/in/tarah-ai-8316b7153/
Twitter: https://twitter.com/tarahtech.

Continue reading “Why is it important to students Reskill to AI | Dr. Srinivas Padmanabhuni” »

The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.

KEYWORDS: Artificial intelligence, clinical decision support, electronic health record systems.

Artificial intelligence (AI) and related technologies are increasingly prevalent in business and society, and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer and pharmaceutical organisations.

What is an AI Graphic Design Tool?

Artificial intelligence (AI) models human intelligence processes in computers and computer-controlled robots. This enables computer systems to undertake arduous jobs, allowing people to concentrate on more vital matters.

Continue reading “AI Tools for Graphic Designers in 2023” »

Welcome to the FUTURE of IT jobs! In todays video, “Exciting New IT Jobs That Will Come Out of AI and the Ones Destined for Automation”, we deep dive into the ever-evolving landscape of technology and employment. We’ll explore the some new jobs that have come out of AI and also some jobs that are getting automated because of AI.

Whether you’re a tech enthusiast, a professional looking to future-proof your career, or someone just curious about the tech industry, this video is your one-stop guide!

Continue reading “Exciting New IT Jobs That will Come out of AI and the Ones Destined for Automation” »

The media frenzy surrounding ChatGPT and other large, language model, artificial intelligence systems spans a range of themes, from the prosaic – large language models could replace conventional web search – to the concerning – AI will eliminate many jobs – and the overwrought – AI poses an extinction-level threat to humanity. All of these themes have a common denominator: large language models herald artificial intelligence that will supersede humanity.

But large language models, for all their complexity, are actually really dumb. And despite the name “artificial intelligence,” they’re completely dependent on human knowledge and labor. They can’t reliably generate new knowledge, of course, but there’s more to it than that.

Continue reading “ChatGPT Still Needs Humans” »