Market Overview Artificial Intelligence in Life Sciences Market was valued at USD 902.1 million is expected to grow at a CAGR of over 21.1% during the forecast period (2019-2024). Although artificial intelligence has been in the market in the late 1950s, the technology has become commercially accessible in the past few years. The primary reason for this accelerated growth in recent years is the massive availability of data in the life sciences sector. As AI operates on large sets of data, the availability of such data becomes a key factor for establishing a suitable environment for the growth of AI-based solutions. With innovations in mobile technology and sensors, even the present day's wearables like smartwatches and fitness trackers, have enough computing power to generate and process vast amounts of data.

Increased automation of the hiring process is seeing many organisations miss out on top talent at all levels of the organisation, according to new research published by global executive search firm Carmichael Fisher. Examining the use of AI in typical candidate selection processes, the report's aim was to identify the areas of hiring that were putting off candidates, as well as where technology could be better utilised. Authored by James Wright in association with the West East Institute (WEI), the findings of'The impact of artificial intelligence within the recruitment industry: defining a new way of recruiting' paper were presented recently at the Harvard Faculty Club in Boston, USA which played host to the 2019 WEI International Academic Conference on Business, Economics, Management and Finance Key among them was that nine out of 10 job seekers reject the notion of artificial intelligence being used to parse CV's. Accordingly, 86 per cent of respondents would prefer their application to be reviewed by a human, rather than an applicant tracking system. Interestingly, most candidates said they would not want a business to make a hiring decision based on their CV alone.

Weather-related downtime is one of the most problematic and cost-escalating aspects of any construction process, severely impacting and involving all elements and parties involved. In the UK, approximately 20% of overall build budget is lost due to weather delay. Meanwhile, planning, building and construction are driving to integrate innovative digital technology. The aim is to integrate machine learning where updated data is continuously analysed, providing guidance to everyone involved in a development about what should be done at any given stage. With a platform utilising meteorology, mathematics and machine learning to instantly interrogate intelligent weather data, MetSwift's award-winning AI – developed for weather and natcat risk calculation – brings smart digital tech to counter downtime.

Book review Everyday AI has the approximate intelligence of an earthworm, according to Janelle Shane, a research scientist at the University of Colorado but better known as an AI blogger. Since AI is both complicated and massively hyped, and therefore widely misunderstood, her new book is a useful corrective. You Look Like a Thing and I love You is both funny and annoying. It is based partly on content from the author's AI Weirdness blog, where she recounts what happens when you use artificial intelligence for unusual purposes. Examples include creating chat-up lines (one result being the title of the book), writing recipes, telling jokes, sorting tasty sandwiches from disgusting ones, or creating robots for crowd control.

Personal healthcare experiences often spark pioneering cures, and Pinaki Dasgupta, CEO of Hindsait, is no exception. After two immediate family members weathered serious health issues, Dasgupta brought his digital expertise in manufacturing to the healthcare industry. His cloud-based startup is designed to help insurance companies and healthcare organizations reduce costs while boosting patient health by replacing manual reporting, preauthorization, and audits with AI-based automation. Pinaki Dasgupta, CEO of startup Hindsait, is convinced that using AI to augment people will revolutionize healthcare decision-making through evidence-based care. At last official count, healthcare spending in the U.S. alone totaled almost 18 percent of the country's gross national product (GDP), an astounding amount.

Almost every business leader I know has begun to -- or is pondering the best way to -- incorporate artificial intelligence (AI) into their 2020 growth plan. Clearly, AI is sweeping the globe and "helping to drive the next great economic expansion," as Deloitte noted in its 2019 international survey of AI's early adopters. Nearly two-thirds of the executives surveyed for the report said AI technology is "very" or "critically" important to the success of their businesses, and most said that AI will help them move ahead of competitors who have been slower to adopt the technologies. Large companies are all over it, using AI to win customer loyalty by creating highly personalized experiences. Can startups and other small firms use AI and advanced analytics effectively without wasting precious time and money on technologies that even the experts are still working to operationalize?

For CenturyLink, customer surveys play an important role in understanding the customer experience. But, in the past, without the ability to analyze the unstructured data in these surveys, customer service teams couldn't drill down to identify the nature and characteristics of issues. "Using unstructured data is really important for us because that's where the real detail -- the meat -- comes in," said Beth Ard, vice president of customer experience at the Louisiana-based network services provider. "When you do scoring, for example, you don't have enough actionable insight to make the changes that you need without it." Most business analytics processes require clean and well-structured data, but enterprises are increasingly managing unstructured data formats -- emails, chat transcripts, audio and video, and social media posts.

Sunny California seems to be the global pacemaker of major innovations in the IT and high–tech industries: The Internet giants Google, Facebook, Apple and Amazon, like many other tech companies, have their headquarters in Silicon Valley. The innovative start–up scene in the Bay Area is at the forefront of developments in artificial intelligence (AI) – closely followed by China. And where do we stand? How does the German economy manage to keep up in the race? Germany & Silicon Valley: Shaping a shared digital future" in Mountain View, leading voices from politics, business and science have conducted a global assessment of the current situation. We participated in the conference with the project "FutureWork360". The aim of the project is to use virtual reality to make our innovation laboratories accessible worldwide on an Internet platform and thereby promoting international networking. For three days, the Computer History Museum – not far from Google's headquarters – was transformed into a forum for the exchange of knowledge on AI. Leaders from the digital economy, research and politics came together to discuss how Germany and the Silicon Valley can work together to harness the tremendous opportunities of AI, robotics and other new digital technologies while effectively addressing the social, economic and political challenges they present. Because we are in the midst of a huge social upheaval – we are walking into a future in which AI–controlled machines think, make decisions and perform tasks, which we once thought were clearly "human". The USA is the breeding ground of digital talent among all countries with about 3000 PhD students per year in the field of AI (for comparison: in Germany there are about 170). Furthermore, five of the top ten and 134 of the 500 most powerful commercially available supercomputers are currently located in the US. The largest number of AI start–ups also gather there. Three–quarters of all internationally enforced AI patents were filed by US players, compared to only two percent from the German counterparts. The figures show how urgent it is for Europeans, and especially Germans, to catch up in the key technology of artificial intelligence. Christoph Keese, CEO of Axel Springer hy GmbH, summarizes the situation in his words: "We must finally wake up and stop investing so little in AI.

The global internet of things (IoT) in manufacturing market size was USD 27.76 Billion in 2018 and is projected to reach USD 136.83 billion by 2026, exhibiting a CAGR of 22.1% during the forecast period. The internet of things (IoT) in manufacturing comprises mechanical and electrical parts, advanced sensors, network connectivity architecture, controls, software applications, and smart devices that work together to collect and share real-time information between machines and humans. The internet of things (IoT) in manufacturing industry is gaining robust growth due to the rising adoption of AI (Artificial Intelligence) and other connected devices based on machine learning (M2M, M2P). Implementation of IoT technology in manufacturing industry is providing several organizations with new opportunities including digital transformations techniques and is enabling them to upgrade the current running operations by creating and tracking new business models. Furthermore, IoT solutions help in providing manufacturers a comprehensive vision to monitor complexities keep on arising at every intermediate point in the manufacturing process and assist in developing real-time adjustments.

AI Day poster sessions highlight current, top-level research in fundamental AI methodologies as well as AI applications in industry and society. Coffee is served during the poster sessions.