Schlumberger, Chevron and Microsoft have launched a cloud-based artificial intelligence platform to improve a digital services in the oil field. The companies issued a joint statement from the SIS Global Forum in Monaco announcing the launch of DELFI, a cloud-based platform loaded with software for exploration, development, production, storage tanks and pipeline projects. "Never before has our industry seen a collaboration of this kind, and of this scale," Schlumberger CEO Olivier Le Peuch said in a statement. "Working together will accelerate faster innovation with better results, marking the beginning of a new era in our industry that will enable us to elevate performance across our industry's value chain." Service Sector: Millennials now make up majority of Schlumberger's workforce Initially developed by Schlumberger for Chevron, DELFI resides entirely on Microsoft's Azure cloud computing platform.

Enterprises using Cisco's UC and CC offerings can upgrade their IVRs to Intelligent Virtual Agents without "ripping and replacing" existing software and equipment SAN FRANCISCO, CA – (September 17, 2019) – Inference Solutions, a global provider of Intelligent Virtual Agents (IVAs) for sales and service organizations, today launched new solutions that extend the self-service capabilities of Cisco Unified Communications Manager (UCM), Unified Contact Center Enterprise and Unified Contact Center Express (UCCE/X). Enterprises using these on-premise solutions can now easily upgrade their existing IVRs with cloud-based virtual agents powered by conversational AI. With Inference, IT organizations do not need to "rip and replace" their existing Cisco platforms to move their IVRs to the cloud. They can continue using UCM and UCCE/X while deploying cloud-based virtual agents managed by Inference, enjoying the benefits of an advanced self-service solution without installing the software, hardware or equipment required to run it. When organizations are ready to move their on-premise Cisco users to a cloud-based solution, their virtual agents will easily make that transition.

Amazon's first robotics fulfillment center in North Carolina is open for business. Hundreds of employees started work Sept. 2 at the Charlotte facility, which will ship smaller customer orders including books, electronics, household items and toys, according to an Amazon statement. Robots at fulfillment centers can lift heavy items or transport products, Amazon wrote in a blog post. The online retail company plans to have 1,500 full-time employees at the facility near Charlotte Douglas International Airport by the holiday shopping season. The company is still hiring.

ADDISON, Texas--(BUSINESS WIRE)--Digital Matrix Systems (DMS), an international risk management firm specializing in support of the entire data management life cycle, including secure access to credit bureaus and data providers, data storage, and analytics, announced a partnership today with ZestFinance, the leader in artificial intelligence (AI) software for credit. The two companies are integrating Zest Automated Machine Learning (ZAML) software with Data Access Point, a DMS platform that makes it easy to create and deploy credit attributes and scorecards for automated decisions, risk assessment, and probability calculations. ML credit models improve on traditional methods by using 100 times more data signals and sophisticated math to make more good loans and fewer bad ones. ZAML customers see an average 15% increase in approval rates with no added risk, as well as increases in booked loan rates due to more competitive pricing. Getting these results from ML requires secure, consistent access to clean data, which is where DMS excels.

ORACLE OPENWORLD -- Oracle Exadata Database Machine X8M, available today, sets a new bar and changes the dynamics of the database infrastructure market. Exadata X8M combines Intel Optane DC persistent memory and 100 gigabit remote direct memory access (RDMA) over Converged Ethernet (RoCE) to remove storage bottlenecks and dramatically increase performance for the most demanding workloads such as Online Transaction Processing (OLTP), analytics, IoT, fraud detection, and high frequency trading. "With Exadata X8M, we deliver in-memory performance with all the benefits of shared storage for both OLTP and analytics," said Juan Loaiza, executive vice president, mission-critical database technologies, Oracle. "Reducing response times by an order of magnitude using direct database access to shared persistent memory accelerates every OLTP application, and is a game changer for applications that need real-time access to large amounts of data such as fraud detection and personalized shopping." Exadata X8M helps customers perform existing tasks faster and accelerates time-to-insight, while also enabling deeper and more frequent analyses.

The US Food and Drug Administration (FDA) has cleared an artificial intelligence (AI) algorithm from GE Healthcare that analyzes chest x-rays for pneumothorax and helps flag suspected cases for radiologists to prioritize reading, the company announced today. The algorithm, part of a set of other quality-assurance algorithms named the Critical Care Suite, was developed to run on a GE Healthcare mobile x-ray device. The software is not yet for sale, and an outside expert expressed concern about its false positive rate. The idea for the application came from bedside clinician experience of waiting for radiologists to read chest x-rays, said Rachael Callcut, MD, MSPH, a surgeon and director of data science for the Center for Digital Health Innovation at the University of California, San Francisco. UCSF proposed developing the feature as part of a development partnership with GE Healthcare.

TGS, a leading provider of multi-client geoscience and engineering data for Exploration & Production companies, and Quantico Energy Solutions (Quantico), an artificial intelligence (AI) company focused on subsurface solutions for Exploration & Production companies, today announced a technology collaboration to leverage their respective offerings in seismic data, AI-based well logs, and AI-based seismic inversion. The joint solution addresses the critical challenges in earth modeling workflows; specifically, insufficient seismic and log data, lengthy time until results, and difficulties mapping advanced geomechanical and petrophysical attributes. TGS will leverage its industry leading data library of seismic and well log data in the key regions of oil and gas activity across the world. In addition, the collaboration will feature TGS's Analytics Ready LAS (ARLAS) solution. Adding to the largest commercial digital log library in the world, ARLAS utilizes machine learning algorithms to predict missing curve responses in today's digital well log data.

LittleBigBrain, LLC announced today the launch of their Artificial Intelligence (AI) software company. The founders, John Morad and Kevin Malone, have both built highly successful enterprise-level software organizations from the ground-up. They are excited about the endless range of what AI can accomplish. "We see extraordinary opportunities in AI and feel we are uniquely positioned to capitalize on what we view as just the beginning of a rapid upward growth trajectory in the industry," said Kevin Malone, CEO of LittleBigBrain. "The potential of what this technology can do is limitless, and we are currently just scratching the surface."

READING, England and SHANNON, Ireland, September 16, 2019 ― Extreme Networks, a software-driven networking company, announced today that it will invest 3 million Euro to expand its R&D program in Shannon, Ireland. The investment will create 20 new jobs in engineering, data science, and software engineering over the next two years, with the Irish government providing additional funding in the form of research, development, and innovation grant worth over 500,000 Euro. The newly established R&D team will focus on developing a next-generation cloud portal for network applications and services, as well as a state-of-the-art AI-based security system for the Internet of Things (IoT). The Shannon R&D base is part of a long-term strategy by Extreme Networks that will result in the creation of a substantial number of highly specialized engineering jobs in the region over the next five years. With the network industry currently experiencing clear shifts in spending patterns as enterprises focus more on applications and security over physical hardware, this support for the program in Shannon is the next step in building a new'Cloud and AI Centre of Excellence' for Extreme Networks.

PALO ALTO, CA – September 16, 2019 – Auransa Inc., an artificial intelligence (AI)-driven biotechnology company developing precision medicines in areas of significant unmet medical need, today announced that data on AU-409, the company's lead drug candidate being developed for the treatment of hepatocellular carcinoma (HCC), will be presented at the 13th Annual Conference of the International Liver Cancer Association (ILCA). The study results will be featured in an oral presentation at the conference, which is being held September 20-22, 2019, in Chicago, IL. AU-409 is Auransa's lead drug candidate and was generated leveraging the company's proprietary AI-driven SMarTR Engine. The SMarTR Engine tackles disease heterogeneity and leverages gene expression profiles to predict responder patient populations, as well as compounds that might be effective against those patient populations. Auransa designed AU-409 to combine three essential features: DNA binding activity, antitumor activity in vitro and in vivo, and good oral bioavailability.