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Although the Covid-19 pandemic persisted throughout the year, the healthcare industry continued to fulfill its duty based on experiences of last year. While going all out to develop Covid-19 treatments and vaccines, the industry tried to graft new technologies, including AI, to promote the sector's development. In the process, the industry revealed problems requiring correction, such as manipulating raw materials and impurities caught in antihypertensive drugs. Still, the sector continued to improve itself in keeping with the changing global healthcare industry amid the Covid-19 crisis. Korea Biomedical Review has compiled the five biggest industry stories in 2021.

Intelligent Automation (IA), has inescapably arrived in the year 2021. By blending Artificial Intelligence and Automation it is now a new cutting-edge disruptive technology of much importance. Beyond the routine domains, it maneuvers and synthesizes information in the entirety of processes and workflows. The present and future of IA are firmly secured with increasing market demand for AI applications. IA expands its scope by offering efficiency, quality up-gradation, customer satisfaction, and pioneering product offerings.

Click to learn more about author Anne Hardy. Artificial intelligence (AI) is no longer the future – it's already in our homes, cars, and pockets. As technology expands its role in our lives, an important question has emerged: What level of trust can – and should – we place in these AI systems? Trust is the very question the European Union (EU) Commission has set out to answer under its newly proposed EU Artificial Intelligence Act. Margrethe Vestager, Executive Vice President of the European Commission for A Europe Fit for the Digital Age, stated that trust is a must with AI.

The latest enhancements include the addition of global ocean visibility and expansion of B2B connectivity for truckload and less-than-truckload (LTL) freight contracting. These brand-new native integrations are the next step towards delivering on a joint multi-modal strategy to provide organizations with a single view across their end-to-end supply chains. Driven by a shared vision of a fully connected and transparent logistics network, project44 and SAP joined forces in 2019 to enable B2B connectivity and collaboration, empowering global companies to create more resilient supply chains and make smarter decisions across their logistics workflows with real-time access to high-fidelity data. "With the uncertainty global companies are facing today, supply chains are at their breaking point, and logistics is what interconnects the entire process. Shippers need visibility data to steer their entire supply chain," said Paige Cox, SVP and Head SAP Business Network.

In the coming year there will be less isolated experimentation around AI; many companies will move out of the pilot phase and toward enterprise-wide deployment. Although AI at scale is rare today, many companies are setting this as a core objective over the next three years. To rapidly pursue AI, many companies are looking to third-party AIaaS vendors. While embracing third parties does not eliminate the need to build up internal capabilities, it opens up more options. In a sample we surveyed of large global companies, we estimated that roughly two-thirds of their total AI spending is currently allocated to internal build – and only one-third is dedicated to buying services from vendors.

Video-based interviews, either on Skype or Facetime or as recorded links, have been used for some years, but now a new and tricky feature has become popular: HR tech companies have begun to deploy artificial intelligence (AI) to assess candidates even as their skills are being tested on several parameters. Companies are using AI-based voice recognition and facial recognition software that reads the candidate in a way that no human can. When a candidate answers questions, AI software reads expressions and measures voice modulation to get into the mind of the candidate. Lying and misleading expressions can be caught. Candidates hear an automated voice and see no one at the other end as they get time to answer questions while looking into the camera.

AI training data provider Samasource has raised a $14.8 million Series A funding round led by Ridge Ventures. The San Francisco headquartered company delivers Fortune 100 companies with the inputs they need for machine learning development in fields including autonomous transportation, e-commerce and robotics. And it does so with a global work-force of data-specialists, a large number of whom are located in East Africa. In addition to San Francisco, New York and the Hague, Samasource has offices and teams in Kenya and Uganda. The company has a global staff of 2900 and is the largest AI and data annotation employer in East Africa, according to CEO and founder Leila Janah.

The development of the Indian software industry is an archetype of how economic liberalization combined with an entrepreneurial spirit can build an industry that today contributes as much as 8% to the GDP of a fast-growing country like India. On the back of thousands of IT services companies that were built over the last three decades, the industry has generated US$177 billion in revenue and more than US$135 billion in exports in FY 2018–2019 alone. The IT industry has also created over four million direct jobs and 12 million indirect jobs in India. A testament to this growth is the fact that the largest Indian IT services company is currently valued at over US$100 billion and generates over US$20 billion in revenue. Over the years, the Indian software industry has matured from providing cost-effective back office support to driving the digital transformation agenda ahead in global companies. Increasingly, leaders of more than a thousand global enterprises across the U.S., Europe, and other locations have realized India's potential and have set up their own IT or R&D centers to take advantage of the vibrant Indian software ecosystem. The current wave of Indian software entrepreneurs is focusing on building platforms and products for Indian and global markets. This has led to the creation of more than 7,000 tech startups in India.

Companies everywhere are facing the challenge of doing their work faster and cheaper, but those who operate globally face additional barriers that make it difficult to drive metrics. Some companies are turning to AI, or artificial intelligence, to handle some of the predictable and repeatable behaviors. If you thought that it was just the giant technology companies using AI to innovate, think again. A recent survey by Spiceworks found that 40% of large businesses will implement one or more intelligent assistants or AI chat bots by 2019. Companies in every industry, of every size, are investing in AI to improve their processes.