One of the biggest issues with Artificial Intelligence and Data Science is the integrity of our data. Even if we did all the right things in our models, and our testing and data might conform to a technical standard of "cleanliness," there might still be biases as well as "common sense" issues" that may come up. With Big Data, it is difficult to get to a certain granularity of data validity without proper, real-world testing. By real-world testing, we mean that when data is being used to make decisions, as consumers, testers, programmers, and data scientists, we look at groups of scenarios to see if the decisions are made to conform to a standard of "common sense". This means when we discover the most important biases in our data.

Artificial Intelligence Specialist - Artificial Intelligence and Machine Learning have both become synonymous with innovation, and LinkedIn data shows that's more than just buzz. Hiring growth for this role has grown 74% annually in the past 4 years and encompasses a few different titles within the space that all have a very specific set of skills despite being spread across industries, including artificial intelligence and machine learning engineer. According to Indeed, Machine Learning Engineer job openings grew 344% between 2015 to 2018 and have an average base salary of $146,085 according their Best Jobs In The U.S. Study. Robotics Engineer – LinkedIn is seeing a 40% annual increase in demand for technical professionals with robotics expertise today. Robotics is an industry on fire according to LinkedIn's study.

Use of CAE simulation and Artificial Intelligence is rapidly becoming essential for the manufacturing industry as well as academic research. This one-day event showcases a software toolkit developed by researchers at WMG, which enables right-first-time capability to reduce engineering changes during installation, commissioning and production. Our agenda includes high-profile speakers from Mathworks, a case study from an automotive OEM, and a series of technical sessions providing a deep dive into the software toolkit and how it could be applied to your manufacturing challenges. Industry practitioners and researchers in manufacturing which strive to design, optimise and control assembly systems with'real and deformable' components. Unfortunately this has failed to load correctly.

AInnovation, the artificial intelligence (AI) unit created by Chinese venture capital firm Sinovation Ventures, has raised nearly 400 million yuan ($57 million) in a Series B round of financing led by China Renaissance's New Economy Fund. CICC Alpha, an investment platform of China International Capital Corporation (CICC), private equity firm SAIF Partners, CreditEase, a Chinese fintech firm specialized in wealth management and inclusive finance, and other investors also poured money into the investment, China Renaissance revealed in a statement on its WeChat official account on Wednesday. China Renaissance was the exclusive financial advisor of the deal. AInnovation was established in March 2018 by Sinovation Ventures, a technology-focused investment company led by former Google China head Kai-Fu Lee. The startup leverages AI technologies like computer vision, natural language processing (NLP), and machine learning to develop products and solutions for corporate clients, helping them improve business efficiency and realize digital transformation.

What comes next – more consolidation and an industry slow down, or more exciting innovation and industry expansion? We asked some of the industry's leading voices for their 2020 predictions. DRONELIFE asked participants to comment on 3 important questions- and the variety of answers may surprise you. Read on to see what our panel agreed upon – and how their predictions differed widely. What new vertical market or application will be the number one growth opportunity in 2020?

The Big Four accounting firms, through an unprecedented investment of billions into technology, are transforming not just how they operate, but also their very identities. The tech crusade goes far beyond automating standard auditing and accounting work. Through a focus on artificial intelligence, data analytics, and massive tech training throughout their organizations, the biggest players in accounting are making tech part of their DNA. "We haven't become a pure technology firm," Christian Rast, KPMG LLP's global head of technology & knowledge said in a recent phone interview. "We are a professional services firm, but technology is core to our future."

Chinese artificial intelligence (AI) company Megvii's plans for a $500 million Hong Kong initial public offering (IPO) are back on track after its application was cleared by the city's stock exchange, two sources with direct knowledge of the matter said. Megvii - which was blacklisted by the U.S. administration in October - was asked to provide more information in November when the company faced the Hong Kong Stock Exchange listing committee to seek the go-ahead for the transaction. Megvii, which is known for its facial recognition platform Face, is aiming to be the first Chinese AI firm to go public. The plan comes after the Trump administration in October placed Megvii on a banned trade list with seven other Chinese firms for their alleged involvement in human rights violations related to Beijing's treatment of Muslim minority populations in the Xinjiang Uighur Autonomous Region.

In 2020, the nature of customer engagement will change as personalisation - how marketing and customer value management actually engage with customers - rapidly matures. This means a change will be required in legacy campaign and loyalty programme management solution architectures (i.e. a move from relational databases of static customer data and batch processes to a real-time online customer profiling and engagement triggering). Those Communications Service Providers (CSPs) who lead the way will tap the real benefits that can be achieved by moving to CE 3.0. Net Promoter Scores in the telecoms industry are low; yet to date there's been relatively little analysis of why. One change lies in clearer answers to the question "Does my operator give me value for my money?".

As automation and artificial intelligence continue to transform Canadian workplaces, post-secondary institutions across the country say they are working to prepare students for jobs that may not even exist yet. Climate change, data science and cybersecurity are increasingly in the spotlight at Canadian universities as they adapt their offerings to address "the needs not only of a changing marketplace but of a changing society," Paul Davidson, president of the association Universities Canada, said in a recent interview. Forecasting can prove difficult, however. "There are numbers like 50 per cent of the jobs (of the future) have not yet been defined, and so how does any organization … prepare for that kind of change?" A research paper released in 2018 showed half of Canadian jobs will be affected by automation in the next decade, and so-called "human skills" such as critical thinking and problem solving will be key to remaining competitive and resilient in an era of disruption and artificial intelligence.

The U.S. will step up its crackdown on China's surveillance industry this coming week, with further restrictions on the supply of American technology that will be in effect from January 6. The new regulations target the use of artificial intelligence in geospatial applications--essentially the detection and classification of objects from planes, drones and satellites. While many such applications are civilian in nature--geographical surveys, construction, town planning, the real focus is military and surveillance. Essentially, the U.S. does not want these technologies in enemy hands. The restrictions cover U.S. exports to all countries bar Canada, but the primary target is of course China and its world-leading AI surveillance industry.