Enterprise AI solutions platform LogicPlum has released its latest update to improve functionality and practicality on its automated machine learning platform. Because it is extremely difficult to find data scientists who can do all these tasks well, it is likely an organization would have to hire an expert for each category. That is where LogicPlum comes in. LogicPlum can assist in every aspect of these sub-specialties. LogicPlum Chief Technology Officer Anoop Muraleedharan said, "We are committed to helping organizations experience maximum benefit from their AI solutions. We are uniquely positioned to help companies understand the challenges they face, in addition to the opportunities they have, with AI innovation. Our LogicPlum 3.0 platform release has been precisely constructed to accelerate organizations that are becoming AI-driven."

Obviously, the coronavirus has had a devastating impact on our world. The transformative effects of COVID-19 are immense, but they aren't all negative. When faced with the reality of everything being remote from work to entertainment to education to connecting with friends and more, the technologies that propel the 4th Industrial Revolution offered solutions to continue some normality in business and life. As more companies relied on these technologies to continue operations, things that held digital transformation back in the past were challenged. As a result, as Satya Nadella, CEO of Microsoft, said, "We've seen two years' worth of digital transformation in two months."

Domo (Nasdaq: DOMO) today announced that it has achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that Domo has demonstrated deep experience and expertise in building or integrating ML solutions on AWS. AWS Partners in the AWS Partner Network (APN) recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions for the business, from creating, automating, and managing end-to-end ML workflows to modernizing applications with machine intelligence. The AI and ML driven applications are maturing rapidly and creating new demands on enterprises. AWS is keeping pace and continuously evolving AWS Competency Programs to provide customers an ability to engage enhanced AWS Partner technology and consulting offerings.

Earners of the Azure AI Fundamentals certification have demonstrated foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

Parsons Corporation (NYSE: PSN) is developing and deploying artificial intelligence (AI) across a wide array of federal solutions and critical infrastructure projects to solve our customer's most challenging problems, produce actionable intelligence, and improve the user experience. Data analytics, AI, and edge computing are ingrained in company offerings across all business units. For example, the company developed an AI-enabled weapon-target pairing algorithm, with initial tests showing outstanding accuracy and speed results; produced an electronic warfare (EW) planning optimization tool-set named TEMPO (Tactical Electronic Warfare Machine Learning Planning Optimization); and recently won a classified research and development contract to develop constellation task scheduling algorithms based on organically developed AI technology. "Parsons' artificial intelligence capabilities align with our customer's vision by improving situational awareness, decision-making, the safety of operating equipment, streamlining business processes, and protecting critical infrastructure," said Ricardo Lorenzo, chief technology officer for Parsons. "By combining our AI technical expertise with our operational understanding of the all-domain environment and critical infrastructure markets, we're working closely with our customers to develop leap-ahead technology that empowers operators at the tactical edge and beyond. We're also developing differentiated capabilities that ensure the efficiency and security of existing energy and water networks."

Claro Enterprise Solutions, a leading global technology services company, today announced that its Hospital Asset Management Solution has been selected as a winner in the Business Intelligence Group's Artificial Intelligence Excellence Awards program. Lost and stolen equipment costs the healthcare industry millions annually. Nurses, meanwhile, can spend more than an hour a day looking for equipment and supplies. Claro Enterprise Solutions' award-winning solution addresses this challenge by leveraging AI-enabled video analytics, geo-fencing and beacons to accurately identify and monitor the location and movement of equipment within a healthcare facility. Artificial Intelligence capabilities allow video cameras to identify the type of assets within a facility, while beacons and sensors monitor the location of stationary assets as well as assets in motion.

The "Artificial Intelligence and Machine Learning 2020, Volume 1" report has been added to ResearchAndMarkets.com's offering. This survey gives a comprehensive view of the attitudes, adoption patterns and intentions of artificial intelligence and machine learning developers worldwide. This series focuses on tools, methodologies, and concerns related to implementing machine learning, deep learning, image recognition, pattern recognition and other forms of artificial intelligence as well as efficiently storing, handling, and analyzing large datasets and databases from a wide range of sources. Artificial intelligence is permeating software development in many ways and many industries, which necessitates a thorough knowledge of how developers are doing this. This volume includes research and analysis covering topics such as developer demographics and firmographics, artificial intelligence landscape, methods and approaches, resources and services, conversational systems, speech and image recognition, enterprise AI, security, platform adoption, API frameworks, tools and languages, technology adoption, hardware, hardware optimization, parallelism, and high-performance computing, purchasing and influencers, challenges and barriers to success, AI as it relates to IoT, the Cloud, and containerization and more.

Government regulations and new privacy rules instituted by Apple Inc. and Alphabet Inc.'s Google will limit the ability of advertisers, publishers and tech companies to track users and target ads based on identifiable data. Going forward, marketers will have to revamp their data strategies, while adtech vendors and other companies are hurrying to find alternative ways to reach consumers. One such alternative is contextual advertising: targeting ads by placing them close to relevant content. GumGum uses computer-vision and natural-language processing technologies to scan and analyze text, images, video and audio to help match ads to content. CMO Today delivers the most important news of the day for media and marketing professionals.

The conference starts on Monday, April 12th and is virtual. "The sessions at NVIDIA'S GTC event are always illuminating. Kinetic Vision's two presentations will show how new AI-driven digital twin models are changing the foundations of retail operations and product development," said Jeremy Jarrett, Executive Vice President of Kinetic Vision. The first session is a deep dive into physics-informed neural networks (PINNs). This innovative technology is able to provide real-time simulation results within the design environment, and could even create'intelligent CAD' to guide the user towards the most functional design.

Toyota Motor Corp. announced Thursday its launch of new models for its luxury sedan Lexus LS and hydrogen-powered Mirai equipped with assistant technologies that allow drivers to take their hands off the steering wheel in designated lanes. The new LS went on sale Thursday at a price starting from ¥16.32 million ($148,800). The Mirai will be sold from Monday, priced from ¥8.45 million, the company said. The autonomous driving technology equipped with the new models is a level-2 assistant system that could help with driving on an expressway or other motor-vehicle-only roadway. The technology can help with keeping the vehicle in its lane, maintaining the distance from other cars and navigating a lane splitting.