The widespread adoption of AI solutions in India is being hampered by severe roadblocks, despite the widely accepted promise of Artificial Intelligence to boost national growth and wealth. The article mentions how India is not fully ready for Artificial Intelligence Adoption. Knowing is just half the battle; the other half is doing. By 2035, AI has the potential to grow India's GDP by $957 billion and increase its national growth rate by 1.3%. This game-changing technology is also well-positioned to tackle issues like the cost and accessibility of high-quality healthcare, education, and mobility solutions.

Artificial intelligence is changing the technology landscape. This ground-breaking technology has shown promise in a wide range of sectors. The healthcare industry is no exception, and we are witnessing the immense potential of artificial intelligence (AI) in areas such as diagnosis, treatment protocol, surgery, administration, and many others. Artificial intelligence, in common parlance, refers to any task performed by a machine that was once thought to require human intelligence. We can divide artificial intelligence into narrow AI and general AI.

Dissemination and Implementation Science (DIS) is a growing research field that seeks to inform how evidence-based interventions can be successfully adopted, implemented, and maintained in health care delivery and community settings. Here is what you should know about dissemination and implementation. Sickcare artificial intelligence products and services have a unique set of barriers to dissemination and implementation. Every sickcare AI entrepreneur will eventually be faced with the task of finding customers willing and able to buy and integrate the product into their facility. But, every potential customer or segment is not the same.

Nearly twice as many companies have now initiated their AI journey in 2020 compared to 2019, and those that have already started are showing more AI maturity, experimenting less, and executing more repeatedly with coordination, according to an IDC study sponsored by Dataiku. The study, IDC InfoBrief on APAC AI maturity, highlights AI adoption in Asia Pacific, comparing strategies, capabilities, and practices to accelerate delivery. In one section of the study, the IDC InfoBrief – Artificial Intelligence Practices That Deliver Results, reveals the impact of global health crisis on technology investments and advancement across the region. Dataiku says that the growing maturity in AI is further illustrated by the significance of processes (e.g AI governance, MLOps) that ensure systematic execution and continuous improvement of AI systems. "The development of AI in Asia Pacific is continuing to gather pace," declares IDC Asia Pacific associate vice president, analytics, big data, and artificial intelligence Dr Chris Marshall, and one of the authors of the InfoBrief.

The study said India witnessed the highest increase in AI use compared to major economies like Britain, Japan and the US, with over 70 per cent of Indian organisations having implemented AI in some functional areas in 2020 as compared to around 62 per cent last year. Also, over 90 per cent companies are implementing or planning to invest in AI solutions to address current business concerns, the survey said. According to the survey, AI adoption in India was led by the travel and hospitality sector with 89 per cent of the surveyed firms doing so, followed by telecom, media & technology firms (86 per cent), financial services (82 per cent), and 73 per cent of healthcare and pharma companies adopting it during the year. AI is deployed across business functions like customer service, finance and tax, HR, IT and cyber security, manufacturing and operations, R&D, risk, legal and compliance, sales and marketing, supply chain and logistics, among others. The survey also shows that optimism with regard to AI in reducing cost and maximising revenue has gone up significantly from 72 per cent to 92 per cent in India, and 45 per cent of organisations have increased the use of AI since the pandemic hit them. Further, 94 per cent of the respondents have either implemented or are planning to implement AI in their organisations.

Like them, loathe them, fear them, but robots are bedding down in the legal profession. The number of patents filed globally with the World Intellectual Property Organisation for "lawtech" leapt by 34 per cent last year to a record high of 1,369, figures from a report published this week reveal. The figures also show that the number of patents filed has increased by nearly 65 per cent over the past two years, up from 831 in 2017. According to researchers at Thomson Reuters, which has exclusively shown the results with The Times, the increase in global patents filed "demonstrates how quickly the legal profession has turned to technology to revolutionise how it operates".

Most companies fail to scale up their AI pilot projects. Most AI initiatives have their budgets cut because they don't deliver results quickly enough. The problem is not technology or talent. The culprit is often a corporate culture and organizational structure designed for a pre-AI age. To deploy AI at scale, executives must build a culture where business and technical teams can collaborate seamlessly.

The latest survey from the World Economic Forum reveals AI adoption will increase across the financial industry within the next two years. A joint survey released by the World Economic Forum and Cambridge Centre for Alternative Finance (CCAF) reveals that while only 16% of companies in the financial sector are using AI tools today, over the next two years, the number is bound to increase to a huge 64% of all financial services brands. What is even more interesting is that 77% of them say they expect AI will become essential to their business. The survey titled'In Transforming Paradigms: Global AI in Financial Services Survey' is based on more than 150 senior financial services executives in FinTech and incumbent financial institutions. As per the survey, the majority of enterprises – 60%- invest less than 10% of R&D resources in AI despite evidence of accelerating returns.

Omar Costilla Reyes reels off all the ways that artificial intelligence might benefit his native Mexico. It could raise living standards, he says, lower health care costs, improve literacy and promote greater transparency and accountability in government. But Mexico, like many of its Latin American neighbors, has failed to invest as heavily in AI as other developing countries. That worries Costilla Reyes, a postdoc at MIT's Department of Brain and Cognitive Sciences. To give the region a nudge, Costilla Reyes and three other MIT graduate students -- Guillermo Bernal, Emilia Simison and Pedro Colon-Hernandez -- have spent the last six months putting together a three-day event that will bring together policymakers and AI researchers in Latin America with AI researchers in the United States. The AI Latin American sumMIT will take place in January at the MIT Media Lab.

While artificial intelligence (AI) gains traction as a core business enabler for organizations across different industries, a few barriers to AI adoption have slowed down the mainstream adoption and full-fledged applications of this technology. With time, investment, and continued experimentation, these obstacles will eventually be overcome, giving rise to a whole new generation of advanced AI applications. While the concept and its applications have been around for a while now, the field of AI still hasn't stopped surprising us with new innovations and milestones. In recent years we've been treated to numerous stunning applications of the technology, from AI machines that can engage in logical debates with humans to those that can detect cancer and other diseases better than human physicians. Businesses worldwide have lined up even more ambitious and revolutionary applications of AI to improve their products as well as their processes.