Integrated with Salesforce, Xactly's Sales Performance Artificial Intelligence (AI) platform applies machine learning algorithms to over 13 years of pay and performance data to analyze and predict the risk of future employee attrition. Leveraging a model of over 50 unique data elements, organizations can proactively address and prevent undesired sales attrition, reducing a significant business cost and safeguarding performance. Customers now have the ability to leverage the power of Salesforce Einstein and Xactly Insights together, allowing sales leaders to become smarter and more predictive. With the ability to predict leading sales indicators using both customer as well as their own reps' pay and performance data, sales leaders can: prioritize opportunities, prevent their top reps from leaving the organization and make real-time decisions to optimize overall sales performance. "Xactly has harnessed the power of big data to provide organizations with a predictive, real-world AI application that they can easily implement and use today to ensure the productivity and health of their sales force," said Christopher W. Cabrera, founder and CEO of Xactly.

Elon Musk has announced that Tesla's new custom AI chip is about six months away from being installed in new production cars. The CEO said that the chip, which was confirmed as being in development last December, will offer "somewhere between [a] 500% & 2000%" increase in its vehicle's autonomous driving performance. Existing Tesla owners who have already paid for full self-driving will be offered this "hardware 3" update for Autopilot free of charge. The announcement comes as v9 of Tesla's onboard software has already reportedly brought big improvements to its neural network with a unified camera network that more seamlessly integrates all eight of the car's cameras. Musk has suggested that this software update delivered an approximate 400 percent increase in its capabilities.

CarePredict, a leading AI-driven digital health company based in Fort Lauderdale, Florida and Menlo Park, California, has selected Lacuna Health, a wholly-owned subsidiary of Kindred Healthcare, LLC for an AI-powered Wellness Platform Collaboration. The partnership enables CarePredict to leverage Lacuna Health's highly trained registered nurse (RN) led clinical staff to offer providers a suite of care management enabled predictive health technology products to engage and support seniors and their caregivers. CarePredict, an AI-driven digital health company, develops proprietary connected remote sensing technologies, wearables, and deep learning platforms that continuously observe, learn, and trigger just-in-time care for seniors. CarePredict employs lightweight sensors and wearables, designed for seniors, to unobtrusively and autonomously collect rich data sets on the senior's activity and behaviors. Machine learning and unique kinematics algorithms are used to quantify activities performed by the senior, such as drinking, eating, sleeping, walking, grooming, etc. CarePredict uses these unique data sets to train its deep learning neural nets to surface insights such as signs and symptoms of self-neglect indicative of depression, unusual toileting patterns indicative of a urinary tract infection (UTI), or increased fall risk due to malnutrition, gait changes, lack of rest, and dehydration.

SAN JOSE, Calif. and BARCELONA, Spain, Oct. 16, 2018 (GLOBE NEWSWIRE) -- (ARMTECHCON and IoT World Congress Barcelona) - Mathematical advances that are driving the historic growth of machine learning (ML) in the cloud are now within reach of edge node developers with NXP's eIQ edge intelligence software environment and customizable, system-level solutions for focused applications. The eIQ software environment includes the tools necessary to structure and optimize cloud-trained ML models to efficiently run in resource-constrained edge devices for a broad range of industrial, Internet-of-Things (IoT), and automotive applications. The turnkey, production-ready solutions are specifically targeted for voice, vision, and anomaly detection applications. By removing the heavy investment necessary to become ML experts, NXP enables tens of thousands of customers whose products need machine learning capability. "Having long recognized that processing at the edge node is really the driver for customer adoption of machine learning, we created scalable ML solutions and eIQ tools, to make transferring artificial intelligence capabilities from the cloud-to-the-edge even more accessible and easy to use," said Geoff Lees, senior vice president and general manager of microcontrollers.

Longueuil, Quebec, October 15, 2018 --The Canadian Space Agency (CSA) is positioning Canada's space community to maintain its global leadership in space robotics. Accordingly, the CSA announced today that it is investing $1.6 million in two concepts for lunar rovers that would use artificial intelligence to make their own decisions. Canadian businesses MDA, a Maxar company, and Canadensys Aerospace Corporation have each been awarded a contract worth $800 000 to develop an innovative concept for the CSA. The CSA made the announcement at the start of a three-day event to promote Canadian space capabilities to major space companies, including Blue Origin, Airbus Defense and Space and Moon Express. As part of ongoing discussions with the international space community to prepare options for Canada's participation in the next chapter of space exploration, the CSA recently signed a Memorandum of Understanding with Moon Express, a US-based company.

Google CEO Sundar Pinchai has said a separate, censored version of its search engine for the Chinese market has undergone several successful internal tests. The comments are the first time Google has officially confirmed it is working on the search engine, dubbed Project Dragonfly, which has been criticised heavily by human rights organisations. Pinchai defended the decision of working on a search engine which will censor any results critical of the Chinese government by saying providing some information is better than providing no information at all. "We are compelled by our mission [to] provide information to everyone, and [China is] 20 percent of the world's population," the Google CEO said during the Wired25 conference, as reported by the organiser, Wired. "People don't understand fully, but you're always balancing a set of values," he continued, adding that the company will try to provide information in any market it enters.

Companies of all sizes are not satisfied with their machine learning process and various challenges to widespread adoption remain. SEATTLE, Oct. 16, 2018 (GLOBE NEWSWIRE) -- Algorithmia announces the results of a survey on enterprise machine learning. The comprehensive survey, titled "State of Enterprise Machine Learning," is a first for Algorithmia and was designed to explore the ways in which companies of all sizes are utilizing machine learning. The survey was completed by over 500 data science and machine learning professionals, the majority of whom were based in North America. A report detailing the survey's findings can be foundhere.

IBM (NYSE: IBM) today introduced AI OpenScale, a new technology platform that addresses key challenges of artificial intelligence (AI) adoption, such as concerns over how AI applications make decisions, the global shortage of AI skills and the complexities of working with disparate AI tools from multiple vendors. IBM's new technology platform is the first of its kind. It will enable companies to manage AI transparently throughout the full AI lifecycle, irrespective of where their AI applications were built or in which environment they currently run. AI OpenScale can detect and address bias across the spectrum of AI applications, as those applications are being run. As part of AI OpenScale, IBM also will debut NeuNetS, a major scientific breakthrough in which AI builds AI – making it possible to create complex, deep-neural networks from scratch.

Gartner, Inc. today highlighted the top strategic technology trends that organizations need to explore in 2019. Analysts presented their findings during Gartner Symposium/ITxpo, which is taking place here through Thursday. Gartner defines a strategic technology trend as one with substantial disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which are rapidly growing trends with a high degree of volatility reaching tipping points over the next five years. "The Intelligent Digital Mesh has been a consistent theme for the past two years and continues as a major driver through 2019. Trends under each of these three themes are a key ingredient in driving a continuous innovation process as part of a ContinuousNEXT strategy," said David Cearley, vice president and Gartner Fellow.

Corporate controllers are set to dramatically increase their adoption of robotic process automation (RPA), according to new research by Gartner, Inc. Today, RPA is used by just 19 percent of controllers, but that number is set to grow to 73 percent of controllers by 2020. This growth will be driven partly by essential differences between RPA and traditional finance IT solutions. Unlike traditional technologies, RPA allows finance leaders to automate a process, or parts of a process, much more quickly than traditional technology implementations. RPA is capable of automating individual tasks or components within a process that make the overall process more efficient.