CHICAGO, Ill., Sept. 10, 2019 (SEND2PRESS NEWSWIRE) -- Aclaro Inc., the game-changing Artificial Intelligence software company that provides disruptive technologies to the automotive, financial, and government sectors, announces a new Board Member and the release of Aclaro EcoSystem 3.0 (ES 3.0). With these announcements, Aclaro continues rapid advancement toward its overarching mission of helping lenders, dealers and consumers develop and nurture longer mutually beneficial relationships. Introducing New Board Member Peter M. Leger Aclaro has appointed auto industry expert Peter M. Leger as its newest Board Member. Leger is the founder and CEO of IVSG LLC, a provider of disruptive technology that empowers automotive retailers and original equipment manufacturers ("OEMs"). He and his team recently launched GlobalConnectPlatform (GCP3) and partnered with PickCloud/Googleto distribute the software to the global automotive retail sector.

AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique which takes a very different approach to training models than other machine learning methods. Its super power is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal. With AWS DeepRacer, you now have a way to get hands-on with RL, experiment, and learn through autonomous driving. You can get started with the virtual car and tracks in the cloud-based 3D racing simulator, and for a real-world experience, you can deploy your trained models onto AWS DeepRacer and race your friends, or take part in the global AWS DeepRacer League.

Thanks to the first round of digital disruption, e-commerce and the platform economy have become a way of life all over the world. Order on Amazon Prime with a single click and get free shipping. Compare insurance policies on The Zebra or places to stay on Booking.com. Whether it's saving gas and time by skipping the mad dash around town for supplies or finding the best deal on a hotel, the first wave of digital disruption brought consumers personalized offers, savings, and convenience beaucoup. For the companies who moved into the e-commerce and platform economy early on during this first wave, this revolution captured significant value as they monetized direct access to their customers and served as third-party aggregators in a wealth of ecosystems.

Q: Where is AWS Innovate hosted? AWS Innovate is an online conference. After completing the online registration process, you will receive a confirmation email containing the login link that you will need in order to access the platform. Q: Can I watch the sessions after the event? All sessions will be available on demand from the day after the event until the end of November.

Syte, an Israeli artificial intelligence tech startup that powers visual search for the likes of M&S and boohoo, has raised $21.5 million in a Series B round led by Viola Ventures. This brings its total funding to $30 million. "We have a vision to transform product discovery, and thus the e-commerce experience, for both retailers and consumers. That vision is what has led us since we founded Syte, and it is what continues to lead us as we enter this stage of hyper-growth," says Syte's Co-Founder and CEO, Ofer Fryman. "For us, the validation of our technology and product development has come from our clients, who have selected us to help them stay competitive in the fast-evolving retail industry. With this round we look forward to expanding our product offering in order to support our clients in more aspects of their digital innovation."

Noah Gift is lecturer and consultant at UC Davis Graduate School of Management in the MSBA program. Professionally, Noah has approximately 20 years' experience programming in Python and is a member of the Python Software Foundation. He has worked for a variety of companies in roles ranging from CTO, general manager, consulting CTO, and cloud architect. Currently, he is consulting start-ups and other companies on machine learning and cloud architecture, and is doing CTO-level consulting via Noah Gift Consulting. He has published close to 100 technical publications including two books on subjects ranging from cloud machine learning to DevOps.

Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth can lower your labeling costs by up to 70% using automatic labeling, which works by training Ground Truth from data labeled by humans so that the service learns to label data independently. Successful machine learning models are built on the shoulders of large volumes of high-quality training data. But, the process to create the training data necessary to build these models is often expensive, complicated, and time-consuming.

The digital wave that we are witnessing today is keeping retailers on toes. Brands are increasingly focussing on product enhancement, greater visibility, personalisation and resolution to build customer engagement and experience. With a view to serve a wide range of customers from varied backgrounds, today's retailers are investing in modern technologies such as the Internet of Things (IoT), data analysis, Artificial Intelligence (AI), chatbots, and more to provide and give customers what they exactly want, so as to avoid any friction in the purchase journey's. Many retailers have already started using these technologies to remain competitive. To share insights and experiences, KPMG in India and CNBC-TV18 organised a panel discussion with experts Harsha Razdan, Partner and Head- Life Sciences and Consumer Markets, KPMG in India; Damodar Mall, CEO-Grocery Retail, Reliance Retail; Jamshed Daboo, Managing Director, Trent Hypermarket; Yash Mishra, Founder & CEO, VoxWeb; and Mukul Bafana, CEO, Arvind Internet.

Artificial intelligence (AI) has crossed the chasm; more companies and more executives than ever before have come to realize the value that augmented intelligence offers their firms. These companies have actively moved to implement the technology in their organizations. In that respect, AI has achieved what many other technologies have tried -- but failed -- to do. It has disrupted the norm. Is This New Approach Really Needed?

Computers and automated systems continue to change the way we do business and what humankind is capable of. From the printing press to the assembly line to home PCs and mobile devices, technological developments which once would have been unthinkable have now become commonplace parts of the world and the workforce. RPA (Robot Process Automation) now joins the ranks as one of those technologies that might seem unthinkable even now, but will soon become commonplace. If you're looking for ways to streamline operations, to handle repetitive tasks that have thus far resisted automation for whatever reason, then RPA may be able to close that gap. RPA or Robot Process Automation uses artificial intelligence and machine learning to automate repetitive tasks in a way that mimics human behavior.