5 Key Stories From The Digital Worlds
BY NABYL CHARANIA
- A big business overhaul similar to what other enterprise companies like Cisco and Hewlett Packard Enterprise are attempting to do.
- Deal expands Salesforce’s product portfolio to include data visualization tools alongside its core customer relationship management software and the word processing and spreadsheet tools.
- Salesforce is becoming more of a one-stop shop that directly competes against tech giants like Microsoft and Google that sell a variety of enterprise software and services.
- Partnership will focus on integrating Aurora’s technology into FCA’s line of Ram Truck commercial vehicles, a portfolio that includes cargo vans and trucks.
- Aims to specifically develop and deploy self-driving commercial vehicles that could be used by any third party with a delivery-to-consumer need.
- Aurora is just a few months removed from announcing its hefty $530 million Series B round that was led by Sequoia Capital and included “significant investment” from Amazon.
- Allows users to transact real estate online, recording the deals on a blockchain, as well as with traditional methods.
- Firm has previously helped auction a 17th century Italian mansion on a blockchain, partnering with Beverly Hills real estate brokerage Hilton & Hyland last May to sell part of the Palazzo Albertoni Spinola, which dates back to between 1580 and 1616.
- NAR is the largest real estate trade association in the U.S., with 1.3 million members across the residential and commercial real estate industries.
- “Reimagining” of navigation stacks, dubbed Embodied AI, enables virtually any drone to avoid moving obstacles with no more than cameras and an onboard computer.
- Obstacles are detected for five consecutive frames to estimate their trajectory or velocity, and once that’s done the models classify them according to their geometry.
- Over the course of more than 200 trials, the researchers achieved a success rate of between 70% and 86%, the latter with the toy car and model airplane.
- Key features include new network automation and analytics tools that are meant to help enterprise IT teams glean more insights and visibility from network data.
- Cisco’s ML is also correlating network data against baselines to uncover potential network issues and alert IT before problems occur.
- Touting new machine-reasoning algorithms for improved troubleshooting, giving IT admins and network engineers the ability to detect and correct issues and vulnerabilities more quickly.