Unhappy employees are found in every workplace and it is a continuous challenge for every office to identify them and then address their issues. The disgruntled employee is one of the top worries for every business leader, but dealing with them is still much of an art and very less science. Pushing the envelope, companies are now using bots to analyse people's expressions and tone to determine traits such as confidence and happiness in order to help HRs identify confident candidates during interviews. Apart from calling the shots at hiring, AI-enabled bots are also fulfilling the roles of a companion. One such chatbot named Amber has now become a confidante of office employees who are comfortably sharing their work problems with it.

Global Augmented Analytics Market was valued US$ 4.6Bn in 2018 and is expected to reach US$ 20.2Bn by 2026 at a CAGR of 19.98%. This report provides a detailed analysis of the market segment based on insurance type, sales channel and region. This report also focuses on the top players in North America, Europe, Asia Pacific, Middle East & Africa, and South America. The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology. The report also helps in understanding the global augmented analytics market dynamics, structure by identifying and analysing the market segments and project the global market size.

The Rise Labs by Rise Networks, Nigeria's first AI-powered Learning, Research and Work Readiness Centre has launched the Artificial Intelligence Ideathon by calling for revolutionary ideas that have the potential of solving Nigeria's Education, agriculture, healthcare and financial inclusion problems using Artificial Intelligence and Machine Learning models and methodologies. The 2019 AI Ideathon is open to students, data scientists, working professionals, developers and academics across Nigeria who are passionate about becoming the early pioneers of groundbreaking innovative solutions to the challenges identified above by applying their knowledge and ideas in the realm of Artificial Intelligence and Machine Learning Solutions while encouraging research and collaboration to drive industry-focused AI innovation and the uptake of AI-driven results across sectors. Winners of the Ideathon will get the rare opportunity of a veritable springboard to showcase and share their AI and ML models and applications to a broad community of stakeholders especially Policy Makers, Technology Experts and Organizations, Leaders in the Private Sector and Venture Capitalists to facilitate the scaling and execution of their ideas. They will also win world-class, brand new work tools and software which include an Apple MacBook Pro (13-inch, 2018) $1000, a Microsoft Surface Book 2 (13.5-inch), a 13-inch, 2018 MacBook Air along with a Publication of their Ideas in The Rise Labs National AI Innovation e-book, Mentorship Support by some the best AI Innovators & Experts within Nigeria & around the World, National Public Recognition & Opportunity to Network and fundraise at WORKPLAN: Africa's Action Plan on Education, Skills and the Future of Work for the Youth on November 23rd, 2019 and a Free 3-6months Workspace, Incubation and Technical support at The Rise Labs. Submission of entries for the Ideathon begins at 12:01 am on August 19th, 2019 and ends at 11:59 pm on September 20th, 2019 (West Africa Time).

This report on global Drone Analytics market is a detailed research study that helps provides answers and pertinent questions with respect to the emerging trends and growth opportunities in this particular industry. It helps identify each of the prominent barriers to growth, apart from identifying the trends within various application segments of the global market. The global Drone Analytics market size was 2.3 million US$ and it is expected to reach 5.6 million US$ by the end of 2025, with a CAGR of 10.4% during 2019-2025. Based on industry, the drone analytics market has been segmented into agriculture & forestry, construction, insurance, mining & quarrying, utility, telecommunication, oil & gas, transportation, scientific research, and others. The construction segment is projected to grow at the highest CAGR during the forecast period.

Digital entrepreneur cites AI's potential to change healthcare around the world With upwards of 580 million people, the Middle East has long struggled to build an effective healthcare ecosystem, says one stakeholder, but AI and other digital technologies are beginning to transform significant stretches of that landscape.

When The AI Summit launched in 2015 it shifted the focus of AI conferences from research & academia to practical implementation for enterprise business use across the globe. This revolutionary new take lead rapidly to major partnerships including the likes of Amazon, Facebook, Google, IBM Watson, Intel, Microsoft, and many more helping events to spread from London, to Cape Town, New York, San Francisco, Singapore, and Tokyo. In 2017, The AI Summit packed out 8 completely sold-out conferences and exhibitions uniting over 9000 delegates globally from an array of major organisations who explored the routes to an AI-powered future. Since then, the The AI Summit series has continued to grow with even more provoking and exciting shows in 2019 including Cape Town, Hong Kong, London, New York, San Francisco, and Singapore.

While machine learning today is dominated by deep neural network research, in the 1990s neural approaches were not recognized as reliable for real-world applications. Back then, researchers put their efforts into kernel methods and support vector machines (SVM). One of the most notable and respected contributors to kernel methods and SVM is John Shawe-Taylor, a professor at University College London (UK) and Director of the Centre for Computational Statistics and Machine Learning (CSML). His main research area is Statistical Learning Theory, but his contributions range from neural networks to machine learning and graph theory. Shawe-Taylor has published over 300 papers with over 42000 citations.

The fictional character of Dr. Dolittle has captured the imagination of millions of children with his ability to talk to animals – and now the idea of using technology to listen to and better understand animals is capturing the imagination of AI experts around the world. For example, AI language-analysis technology is being used to decode the sounds of bottlenose dolphins and compile a dictionary of dolphin language. This work is taking place on a global scale, across a vast variety of species. Researchers are using technology to gather data that could address some of the biggest environmental challenges of our time, including some with grants from Microsoft's AI for Earth program helping achieve their goals. Here is a snapshot of some of the projects underway – and what they hope to achieve.

This week more than 700 machine learning researchers from over 30 African countries will come together at Kenyatta University in Nairobi, Kenya for the third annual Deep Learning Indaba. On paper it looks a lot like other artificial intelligence (AI) convenings around the world. There are keynotes from luminaries, talks from up-and-coming researchers, and trainings on new methods. But as we've worked with the Indaba organizers to sponsor the event over the last few months, we've learned that the Indaba represents so much more: First, the Indaba is a hub and catalyst for Africa's growing AI community. At The Rockefeller Foundation, we know that supporting communities of dedicated engineers can change the world.

The DeepMind Science Team works to leverage AI to tackle key scientific challenges that impact the world. We've developed a robust model for detecting and analysing animal populations in field data, and have helped to consolidate data to enable the growing machine learning community in Africa to build AI systems for conservation which, we hope, will scale to other parks. We'll next be validating our models by deploying them in the field and tracking their progress. Our hope is to contribute towards making AI research more inclusive–both in terms of the kinds of domains we apply it to, and the people developing it. Hence, participating in meetings like Indaba are key for helping build a global team of AI practitioners who can deploy machine learning for diverse projects.