Read on to discover how this definitive report can transform your research and save you time. The use of artificial intelligence based industrial and personal-service robots is on the rise and has led Visiongain to publish this timely report. The USD 2.3 billion Artificial Intelligence Robotics Market is expected to flourish in the next few years because of advances in specific areas of AI such as machine learning methods. The continuous advancements in computer power have enabled the development of more intelligent and stronger AI systems and this is expected to feed through in the latter part of the decade driving growth to new heights. If you want to be part of this growing industry, then read on to discover how you can maximise your investment potential.

As AI and machine learning transform industries by automating much of the work currently done by humans, women's careers will be disproportionately affected. That's according to a McKinsey Global Institute report published earlier this year ("The future of women at work: Transitions in the age of automation"), which found that women predominate in occupations that'll be adversely impacted. About 40% of jobs where men make up the majority in the 10 economies (Canada, France, Germany, Japan, the U.K., the U.S., China, India, Mexico, and South America) contributing over 60% of GDP collectively could be displaced by automation in our 2030, compared with the 52% of women-dominated jobs with high automation potential. Mekala Krishnan, a senior fellow at McKinsey's Boston-based business and economics research arm and a member of the board of the Global Fund for Women, spoke about the research (which she coauthored) at MIT Technology Review's EmTech MIT conference at the MIT Media Lab. Krishnan pointed out that monotonous or repetitive tasks are ripe for automation.

FRISS, a provider of AI-powered fraud and risk solutions for the property and casualty market, has announced that it has extended its partnership with Munich Re to support insurers worldwide in the fight against fraud risk. The extension of the agreement comes after FRISS and Munich Re successfully cooperated in Latin America and Iberia to mitigate fraud risk at P&C insurers. FRISS provides a combination of AI, predictive models, network analysis and text mining for more than 600 risk and fraud indicators that are used by insurers for real-time risk assessment in underwriting, fraud detection during claims and investigations at the special investigation unit. "Many of our insurance clients see the need to increase efficiencies, reduce claims costs and improve their competitive edge by an increased use of automation," said Joachim Mathe, head of Munich Re's global consulting. "To take full advantage of these new opportunities, insurers must arm themselves with relevant digital and data-analytics competency, including a modern IT system supporting such competencies. The combination of our strategy expertise and global player know-how with AI-powered fraud and risk solutions provided by FRISS will help our clients make effective big-picture decisions."

This week, we have launched the first in a series of reports on artificial intelligence (AI) and its potential impact in driving the digital transformation of biopharma. This overview report, Intelligent biopharma: Forging the links across the value chain, explores the challenges and opportunities in AI adoption and the potential ways that AI might impact the different segments of the biopharma value chain (see Figure 1).1 The pace and scale of medical and scientific innovation, together with increasing competition, lengthening R&D cycle times, shorter time in market, expiring patents, declining peak sales, pressure around reimbursement and mounting regulatory scrutiny are challenging the existing biopharma business and operating models. These challenges have also had a massively negative impact on the expected return on investment that large biopharma companies expect to achieve from their late-stage pipelines. Consequently, companies are looking to digital transformation as a key differentiator and essential part of their change management strategy. AI technologies are some of the most anticipated of these digital technologies.

GNW The global artificial intelligence (AI) in retail market attained $720.0 million in 2018 and is predicted to witness a CAGR of 35.4% during 2019–2024 (forecast period). The factors contributing to the growth of the market include the increasing investments in AI by retail companies and expanding e-retail industry. With AI, retailers have been able to automate their work processes, study consumer behavior, and capture relevant data through the adoption of numerous advanced technologies, such as machine learning, natural language processing (NLP), and computer vision. When technology is considered, the AI in retail market is divided into computer vision, NLP, machine learning, and others (which include gesture recognition and analytics). Machine learning generated the highest revenue during the historical period (2014–2018) and is expected to dominate the market during the forecast period as well.

I cover AI and future trends for a living. One overreaching theme I've noticed is how AI is being used not to augment people, but to weaponize their data against them. Businesses across almost every industry deploy artificial intelligence to make jobs simpler for staff and tasks easier for consumers. But that doesn't tell the whole story. Indeed unbridled adoption of AI won't just result in job losses, but data purgatory, and an internet that feels more like slavery than education and freedom.

I cover AI and future trends for a living. One overreaching theme I've noticed is how AI is being used not to augment people, but to weaponize their data against them. This is going to be a long read, and it's because I feel a bit passionate about this topic. The debate over free-speech this week related to the Hong Kong protests signals no trade war resolution will take place since a cold tech war also is about information wars and basic freedom of speech. As companies with billion-dollar market caps like Microsoft, Apple and Google cave into creating censorship products, we all lose and begin to enter a potential data-based Neo-Fascism era of control and surveillance.

GNW The global artificial intelligence (AI) in retail market attained $720.0 million in 2018 and is predicted to witness a CAGR of 35.4% during 2019–2024 (forecast period). The factors contributing to the growth of the market include the increasing investments in AI by retail companies and expanding e-retail industry. With AI, retailers have been able to automate their work processes, study consumer behavior, and capture relevant data through the adoption of numerous advanced technologies, such as machine learning, natural language processing (NLP), and computer vision. When technology is considered, the AI in retail market is divided into computer vision, NLP, machine learning, and others (which include gesture recognition and analytics). Machine learning generated the highest revenue during the historical period (2014–2018) and is expected to dominate the market during the forecast period as well.

From Mexican immigrant to MIT, from Girl Power in Latin America to robotics entrepreneurs in Africa and India, the 2019 annual "women in robotics you need to know about" list is here! We've featured 150 women so far, from 2013 to 2018, and this time we're not stopping at 25. We're featuring 30 inspiring #womeninrobotics because robotics is growing and there are many new stories to be told. So, without further ado, here are the 30 Women In Robotics you need to know about – 2019 edition! There are 150 more stories on our 2013 to 2018 lists. Why not nominate someone for inclusion next year!

I've been asked many times recently to comment on how the rise of AI will impact jobs and the economy, particularly in customer service and contact centers. I've seen wildly differing forecasts, from the dire predictions of Elon Musk to the optimistic predictions of Accenture. According to Forrester's'The Future of Jobs' report, robots will take 24.7 million jobs by 2027, but create 14.9 million new jobs in the same period. There is no doubt that AI will impact jobs globally more than any other technology in our lifetime. The key question is - what should we do about it?