The exponential growth of internet generated data has fueled advancements in artificial intelligence (AI), machine learning (ML), and deep learning (DL) for extracting actionable insights in marketing,telecom, and health sectors. This chapter explores ML applications across three domains namely healthcare, marketing, and telecommunications, with a primary focus on developing a framework for optimal ML algorithm selection. In healthcare, the framework addresses critical challenges such as cardiovascular disease prediction accounting for 28.1% of global deaths and fetal health classification into healthy or unhealthy states, utilizing three datasets. ML algorithms are categorized into eager, lazy, and hybrid learners, selected based on dataset attributes, performance metrics (accuracy, precision, recall), and Akaike Information Criterion (AIC) scores. For validation, eight datasets from the three sectors are employed in the experiments. The key contribution is a recommendation framework that identifies the best ML model according to input attributes, balancing performance evaluation and model complexity to enhance efficiency and accuracy in diverse real-world applications. This approach bridges gaps in automated model selection, offering practical implications for interdisciplinary ML deployment.

The Bletchley Park artificial intelligence summit in 2023 was a landmark event in AI regulation simply by virtue of its existence. Between the event's announcement and its first day, the mainstream conversation had changed from a tone of light bafflement to a general agreement that AI regulation may be worth discussing. However, the task for its follow-up, held at a research park on the outskirts of Seoul this week, is harder: can the UK and South Korea show that governments are moving from talking about AI regulation to actually delivering it? At the end of the Seoul summit, the big achievement the UK was touting was the creation of a global network of AI safety institutes, building on the British trailblazers founded after the last meeting. The technology secretary, Michelle Donelan, attributed the new institutes to the "Bletchley effect" in action, and announced plans to lead a system whereby regulators in the US, Canada, Britain, France, Japan, Korea, Australia, Singapore and the EU share information about AI models, harms and safety incidents.

In the healthcare sector, chatbots are essential since they quickly increase productivity. Chatbots provide several advantages in the healthcare sector, not just for professionals but also for patients. It is known that doctors usually make an effort to be accessible to their patients, but due to their busy schedules, it is occasionally impossible to accommodate everyone. Therefore, chatbots save the day by lightening the load on medical professionals. The use of AI chatbots is improving hospital patient care.

Ever since the adoption of Smartphones and further mobile applications have flooded the market, global industries are on their way to offering their services through the adoption of mobile app development trends. One of the prominent and visible growth has been in the healthcare industry, which has gone many miles ahead of where it stood a decade ago. However, that can't be done with just a snap of a finger. You, as a healthcare organization entering into the mHealth service market, must follow healthcare app development trends, which we have discussed over here, to lead your app concept to success. In addition, to know healthcare app development trends, the market study is the need of the hour!!

Growing populations around the world are experiencing (and contributing to) a shortage of healthcare workers, and the gap is expected to widen in the future. "The world will be short of 12.9 million healthcare workers by 2035; today, that figure stands at 7.2 million," as per a recent report by the World Health Organization (WHO). Globally, billions of people will suffer serious health consequences if the findings in today's WHO report are not addressed. Experts believe that integrating technology into healthcare and digitalizing the system can address future challenges. The healthcare sector has been embracing artificial intelligence (AI) by using it to assist doctors, hospitals, pharmaceutical companies, and others in overcoming practical challenges.

NEW DELHI: While artificial intelligence is being used in all fields, its application in the healthcare sector is vital but there are several legal issues involved, as there are no specific laws to deal with it and the question of accountability for errors in technology remain. This was widely felt during the concluding session of 10th international conference on transforming healthcare with IT organized by the Apollo hospitals and Apollo telemedicine networking foundation. While speaking on the legal implication in use of AI in clinical practice: gray areas, Bagmishika Puhan, associate partner, TMT law practice said that currently there are no well defined regulations in place to address the legal and ethical issues that may arise due to the use of AI in healthcare sector, which is required. "Who should be responsible for errors in a medical device, diagnosis and treatment enabled by AI," she questioned, adding that adoption of AI should steer away from flawed algorithms, human bias and any potential discrimination, exclusions. She further said that the patient must be made aware of technologies deployed as much as they need to be aware of the consequences because in digital services, lack of physical presence creates an impression of vulnerability in the minds of the patients.

Our healthcare fraternity was among the most affected industries when the pandemic came unannounced, but the happy news is that clinicians, medical providers, and hospital administrators were quick to adapt to AI-enabled techniques like natural language processing and machine learning technology to overcome manual challenges and strengthen the healthcare sector and become more efficient and affordable. In the last couple of years, the healthcare industry predicted several things – from emergencies and effective treatments to handling staffing and planning rosters, AI and its army of tools have made the life of medical professionals and patients quite simple. Besides predictive analytics, healthcare also benefited from blockchain technology which upholds patient information and protects health data to ensure the patient is receiving the best of both worlds. The healthcare industry is at the cusp of some sophisticated technological changes and AI and ML are only helping to refurbish the existing systems and improve efficiency by automating processes and helping augment the work of the clinical staff and nurses. For instance, several manual, tedious and repetitive tasks can be automated, so the scope of manual errors can be eliminated.

This Digital Health News industry roundup includes an Innovate UK Smart Award for a smart inhaler tracker, details on the digital transformation programme for Research Data Scotland and Cera's commitment to reduce hospitalisations with its digital healthcare approach. Customer analysis of a care home admin platform has revealed that it can save a significant number of hours in admin time for care homes. The CoolCare software focuses on making admin more efficient and more profitable. Its most recent analysis found that many of its customers were seeing results above pre-pandemic levels, including above-national increases in weekly fees, occupancy and private payer ratios. With increased occupancy, comes more admin.

Turning the page on 2022 will be a cause for celebration in the healthcare sector. The past year was one of the worst financial years on record for hospitals, according to Kaufman Hall. New data from the healthcare consulting firm and the American Hospital Association indicates that 53% to 68% of the nation's hospitals will end 2022 in the red. At the same time, hospital employment is down approximately 100,000 from pre-pandemic levels. This is all happening amid a backdrop of growing margin pressures and an aging population.

Chatbot Development Cost: A few years ago, a chatbot would have resembled a miracle. Whenever you visit a website, you will get a message "Hello! How can I help you?" on the webpage's side corner and you would have felt thrilled after all a robot asking you queries. It was the biggest revolutionary aspect of technology. AI-integrated Chatbots are undoubtedly revolutionizing all industries (Such as IT, Ecommerce, Real Estate, Travel, and many more) around the globe.