GREENWOOD VILLAGE, Colo.--(BUSINESS WIRE)--Messaging apps; speech-based assistants such as Apple's Siri and Amazon's Alexa; and chatbots are entering the marketplace in large scale, all with a goal of enhancing everyday life. Businesses are taking notice; leveraging the technology to analyze peoples' behavior in order to create a more personalized and efficient customer experience. To help companies deliver a more transformative and differentiated customer experience (CX), CSG (NASDAQ: CSGS) today announced the availability of its Conversational Artificial Intelligence (AI) solution, a disruptive technology that improves overall CX by enabling companies to rapidly develop, deploy and analyze conversational use cases across a variety of communications channels. Today's digital world has created a paradigm shift where customers are demanding instant gratification. A primary differentiator for companies will be their ability to deploy conversational platforms that span voice and digital channels to create proactive efficiencies surrounding customer intent.

UST Global, a leading digital transformation solutions company, announced that it has won the 2020 most innovative AI application award for societal impact from Microsoft. UST Global has been a picture of consistency as the company has unlocked several technical accolades in its successive years. The AI Awards 2.0 is an initiative open to all Microsoft customers and partners who foster AI-led innovations to deliver meaningful impact. In 2019, UST Global had won an award for'Empowering Employees with AI' from Microsoft for delivering an AI-powered personal assistant to each employee. The award marks industry appreciation of UST Global's AI capabilities to build products that scale new heights in innovations in Artificial Intelligence.

Biovista, a privately-held AI / bioscience firm best known for drug repositioning, has identified four treatments – two prescription drugs and two over-the-counter compounds -- to counter key symptoms of COVID-19. "Drug AI helps find that needle in the haystack, and we are optimistic that we have found four of them to start," said Aris Persidis, Biovista's President and Co-Founder. The first drug has the potential to reduce viral replication, limit inflammatory events, and help protect against acute lung injury. The second drug has the potential to reduce viral load, improving the primary ARDS component of the disease and reducing the cytokine storm in COVID-19. "These compounds won't cure COVID-19, but appear able, based on their mechanism of action, to limit the damage," said Dr. Eftychia Lekka, Senior Investigator, Drug Discovery.

The report provides a 360-degree overview of the market, listing various factors restricting, propelling, and obstructing the market in the forecast duration. The report also provides additional information such as interesting insights, key industry developments, detailed segmentation of the market, list of prominent players operating in the market, and other artificial intelligence market trends. The report is available for sale on the company website. The report classifies the global artificial intelligence (AI) market on the basis of components, technology, industry vertical, and geography. In terms of technology, the market is divided into machine learning, computer vision, natural language processing, and others.

Velodyne Lidar, Inc. today announced a multi-year sales agreement with NAVYA, a leading company in autonomous driving systems. Since 2015, NAVYA has been using Velodyne lidar sensors in production for its autonomous shuttle fleet that provides mobility services to cities and private sites. This press release features multimedia. Since 2015, NAVYA has been using Velodyne lidar sensors in production for its autonomous shuttle fleet that provides mobility services to cities and private sites. NAVYA plans to pursue the worldwide expansion of its shuttle with Velodyne's state-of-the-art sensors for precise real-time localization and object detection.

Increased Integration of Different Solutions to Provide Improved Performance 5.2.3.3 Rapid Industrial Growth in Emerging Economies 5.2.4 Challenges 5.2.4.1 Threats Related to Cybersecurity 5.2.4.2 Complexity in Implementation of Smart Manufacturing Technology Systems 5.2.4.3 Lack of Awareness About Benefits of Adopting Information and Enabling Technologies 5.2.4.4 Lack of Skilled Workforce 5.3 Industrial Wearable Devices Trends in Smart Manufacturing 5.3.1 By Device 5.3.1.1

You can connect to both local instances of Spark as well as remote Spark clusters. Here we'll connect to a local instance of Spark via the spark_connect function: The returned Spark connection (sc) provides a remote dplyr data source to the Spark cluster. For more information on connecting to remote Spark clusters see the Deployment section of the sparklyr website. We can now use all of the available dplyr verbs against the tables within the cluster. We'll start by copying some datasets from R into the Spark cluster (note that you may need to install the nycflights13 and Lahman packages in order to execute this code): To start with here's a simple filtering example: Introduction to dplyr provides additional dplyr examples you can try.

People have asked me about how Artificial Intelligence (AI) is being used in the fight against COVID-19. The answer is that it is being used in myriad of ways! In this blog, I've discussed five innovative AI projects being used to help stop this global pandemic and save lives. 1 - Arguably the most discussed and used dashboard is the "COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University". You have likely seen it on television press conferences and it was recently featured on NPR. Developed by Ensheng Dong, Hongru Du, and Lauren Gardner at Johns Hopkins University, it provides stunning visuals of real-time data such as "Cumulative Confirmed Cases", "Active Cases", and "Testing Rate", just to name a few.

We've gathered experts in the AI and medicine field to share their career advice and what they're working on. Come celebrate the launch of our new AI For Medicine Specialization and hear from experts in the AI and medicine field. Agenda: PDT (*subject to change) MC: Ryan Keenan, Director of Content at deeplearning.ai Course 1 and 2 of the AI For Medicine Specialization will be available on Coursera on April 15. The third course will be available by the end of May.

CollabNet VersionOne, XebiaLabs, and Arxan Technologies today announced their combination and strategic transformation to Digital.ai, a new software company that brings together leaders in business agility, software delivery, and application security into one integrated, intelligent value stream platform. Backed by TPG Capital, Digital.ai is on a mission to revolutionize how enterprises create, measure, deliver, secure, and continuously improve digital products that provide value, fuel revenue growth, and enable innovation in today's rapidly changing world. The Digital.ai Value Stream Platform seamlessly integrates all the disparate tools and processes across value streams, uses data and AI/ML to create connective tissue between them, and provides enterprises with the real-time, contextual insights they need to drive and sustain their digital transformation and produce great business outcomes. By streamlining processes across teams and providing continuous feedback loops throughout the development lifecycle, organizations can focus on what matters most to drive efficiencies, reduce costs, and create meaningful value for customers. "In these challenging times, your digital presence is your business. Digital.ai enables enterprises to focus on business outcomes instead of outputs, unifying value creation, delivery, and protection practices to drive efficiencies and create engaging, secure digital experiences that customers value and trust," said Ashok Reddy, CEO of Digital.ai.