Amazon Web Services hosts a cloud conference'AWS re:Invent' every year which comprises of a series of announcements, bootcamps, hackathons, breakout sessions, workshops, and certification opportunities. The conference lasts nearly a week and provides great opportunities to gain information and insights about Amazon's current products, product launches and services for attendees of all skill levels. The research firm, Wikibon, predicts that by 2022 Amazon Web Services (AWS) will reach $43B in revenue, and be 8.2% of all cloud spending. This shows that Amazon leads ahead of Google and Microsoft in cloud computing. We revisited the AWS re:Invent 2017 conference to list down few of the emerging cloud trends that are expected to be widely adopted during 2018.

This year, we have seen an acceleration of Silicon Valley tech giants opening AI research labs around the world as they seek to gain traction among researchers and fulfill their global ambitions. In the past six months or so, Google brought labs to China and France, Facebook opened labs in Pittsburgh and Seattle, and Microsoft announced plans to open labs near universities in Berkeley, California and Melbourne, Australia. This trend shows no signs of slowing down. Last month, Samsung announced labs in Cambridge, Moscow, and Toronto. This week, Nvidia announced plans to open a new lab in Toronto, while Google shared plans to open a lab in Accra, Ghana, Google's first in Africa and perhaps the first of any tech giant in Africa.

Entitled "Bringing AI and Intelligent Live Streaming to the Smart City," this presentation will be led by key members of CrowdOptic's technical team: Richard Smith, VP of Product, Austin Markus, VP of CrowdOptic Labs, and Joshua Davis, Principal Director of Engineering. There are already hundreds of thousands of cameras in many smart cities, but how intelligent are their video cameras and video management systems? This session will dig into the use of artificial intelligence to control cameras, and will explain how sensor data can be used to analyze video stored at the edge. CrowdOptic Intersect APIs expose developers to triangulation and cluster detection algorithms, guiding them through the basics of how CrowdOptic works with camera lines of sight to bring artificial intelligence to the smart city. A quick demonstration will drive home the depth of these APIs, showing how smart phones leverage cameras in the smart city to effectively look through walls and around corners.

Roundtable Analytics Inc., an AI/ML-based software company focused on improving the operational and financial performance of Emergency Departments (EDs), expanded its team of data scientists with the recent appointment of Michael Hyman, Ph.D., as vice president. Michael (Mike) Hyman has had a distinguished academic career, graduating with honors from the University of North Carolina with a Bachelor of Science in mathematics and a minor in chemistry. Pursuing his passion for the application of data science, Mike went on to earn both an M. Stat and Ph.D. in statistics from the University of Florida, one of the premier statistics graduate programs in the U.S. During his studies at UF, he was named a National Science Foundation Fellow, receiving an IGERT award for interdisciplinary training, and shared an office with the future founders of Roundtable Analytics Inc. Prior to joining Roundtable, Mike spent over five years working with the U.S. Department of Agriculture, performing statistical and geospatial research and developing the statistical methodology for projects such as the U.S. Census of Agriculture. Previously, during his spare time, Mike organized and completed a charity bike ride across the United States and is delighted to now return to his hometown of Raleigh, North Carolina.

Neurala, Inc. developed The Neurala Brain--deep learning neural network software that makes devices and products like drones, mobile phones and cameras more intelligent, engaging and useful. Neurala provides customized solutions ranging from high-end applications to inexpensive everyday consumer products. With The Neurala Brain and an ordinary camera, products can learn people and objects, recognize them in a video stream, find them in the video, and track them as they move. The Neurala Brain is based on technology originally developed for NASA and the U.S. Air Force. Follow Neurala on Twitter @Neurala and on Facebook, YouTube and LinkedIn.

Mobile wallet company Mobikwik has announced today that it has invested Rs 2 crore in Pune-based Pivotchain Solutions, a data science startup focused on deep learning and advanced analytics. Founded in 2017 by Deepak Rao and Yogendra Pratap Singh, Pivotchain offers blockchain based asset registry platform and within a year of its existence, the startup is working closely with banking, insurance, retail and government sectors globally. Notably, Pivotchain has also built exclusive AI and deep learning models for MobiKwik and these models, Mobkwik official's statement, will be instrumental for MobiKwik as it rolls out numerous lending products to address the credit requirements of its user base. MobiKwik founder and CEO Bipin Preet Singh said the company's focus on delivering high quality fintech products will require immense focus on data, and an in-depth understanding of the user requirements across categories. "Pivotchain is doing incredible work in alternate data scoring, predictive modelling and risk management and this investment will give us an edge over competition. We will continue to invest in companies that can add value to our business," he said.

Pune, India -- (SBWIRE) -- 06/15/2018 -- In the solutions segment, the software tools solution is expected to have the largest market share, whereas platforms solution is expected to be the highest contributor during the forecast period. Software tools help in deploying AI enabled solutions in the finance sector to extract a large amount of data, as well as accurate and complete data on time. Financial companies were early adopters of a relational database and mainframe computers, moreover, the industry is one of the early integrators of artificial integration in their daily operation to enhance the customer experience and handle growing big data. The inclusion of artificial intelligence improves results through implementation of sophisticated algorithms and understanding consumer behavior. The ever-increasing number customers in the financial industry are giving tough times to accommodate and attend every service request humanely whereas Chabot, an automated chat box helps in monitoring and replying near a specific resolution to consumers is expected to have a positive impact on the market growth over the forecast period.

The IT industry is experiencing an important transformation as companies invest in new technologies to drive growth and innovation. This trend is strongly reflected in our industry as E&P companies deal with enormous amounts of legacy, and increasing volumes of new data along with the expense and complexity of software to analyze and interpret this information. Challenges faced include operational efficiency, increasingly short project cycle times, communicating with a regional or global workforce, data silos, legacy software and restricted resources. Due to the industry's dynamics and its need for flexibility and information security, the cloud is increasingly seen as a viable and practical solution for the oil & gas industry, particularly now that Cloud service providers are building security into their software development processes. Security of data in the Cloud is often better today than in company's own networks.

What comes to mind when you think of AI in Finance? AI has already undoubtedly made huge contributions to the efficiency and accuracy of many financial practices, but there are also lots of new ways that AI is being implemented to alter traditional methods within retail and commercial banking, insurance and many more industries within the financial landscape. On 6 - 7 September, RE•WORK are hosting the AI in Finance Summit where we will be showcasing the latest breakthrough technologies and their application in the financial sector. Research institutions, large corporations as well as emerging startups will be discussing new AI systems and innovative ways AI can assist financial services. We're taking a look at the latest news and updates in the world of AI in Finance to give you a taster of what we will be covering at the summit: 'Sony Bank is set to start using an AI application which was originally developed by the bank itself, to automate preliminary screenings for mortgage loans from May 10, 2018.

At the conference, Inspur showcased the ODCC standard rack scale server, high-end mission critical 8-way server TS860, OpenPower9 systems, storage optimized server 4U106 Bay servers, and other systems designed for cloud. The full-stack AI solution includes the highest density GPU server -- AGX-2 -- with NVIDIA NVLink enabled, management software AIstation, care-MPI framework and the capability for application optimization. As the world's first NVLink enabled supercomputer with 8 NVIDIA V100 within 2U form factor, the AGX-2 improves the computing efficiency to develop high performance to propel AI, deep learning and advanced analytics development. With over 60% market share, Inspur's rack scale servers are widely used by CSPs such as Alibaba, Baidu, Tencent and 12306 (railway ticket online booking platform). It has set and maintains the record of deploying 10,000 nodes per day.