March 22, 2022
Photo: Samuel Foster via Unsplash
Hello and welcome to Protocol Enterprise! Today: how unintuitive sources like firefighters and food delivery drivers are shaping the market for precise location data, Nvidia pushes further into the data center, and how neural networks can resurrect dead languages.
It feels like we’ve been talking about open-source software in enterprise tech for decades, but about 45% of the software used inside the average enterprise is proprietary, according to a survey conducted by Red Hat. However, that number is expected to drop to 37% over the next two years, while open-source software usage grows 5% to make up 34% of the average enterprise’s software assets.
When Thomas Melia, an engineer for the City of Salinas Fire Department in California, was dispatched earlier this year on a medical call to an assisted-living facility, his routing app told him where to park the truck. But when he pulled into the sprawling multi-unit complex, the ambulance service that had already arrived was parked near the front door, far from the apartment in need.
Those firefighters rely on routing technology from Beans.ai, one of many companies building unique data sets and AI-based software that make the final steps to a destination speedier and more efficient.
Hunting for last-foot data could pay off as the rise of quick-commerce delivery services from companies such as Buyk, Gopuff and Gorillas spur competition and development in the delivery-routing tech arena. More-established companies including DoorDash have been gathering delivery logistics data to train models used in their delivery fulfillment apps for years.
While helping to make emergency calls and deliveries more efficient, emerging technologies used for delivery routing and fleet management also create ethical questions related to worker privacy and civil rights.
Seeking to triple its employee base, Whisk, a fully remote team, sought diverse talent from a wide variety of regions through Upwork, a work marketplace that connects businesses with independent professionals and agencies around the globe.
Nvidia unveiled several new data-center chips and related tech Tuesday, including a new server CPU chip and its next generation of graphics-processing architecture for AI applications that will go on sale this year.
Nvidia’s Grace processor will feature two CPUs joined by a custom-designed interconnect intended to deliver high-speed data transfers with low latency. Based on the Arm v9 tech, the Grace CPU will have 144 high-performance cores — Nvidia claims it will double the performance and energy efficiency of existing “leading” server chips.
Nvidia unveiled its next-generation architecture called Hopper, and said it plans to sell the H100 server graphics processors based on it in the third quarter. The server chips will feature 80 billion transistors manufactured on TSMC’s four-nanometer fabrication process.
The Hopper-based chip includes a number of enhancements, including a natural-language processing engine, increased security features that allow for confidential computing and the ability to segment each GPU into smaller parts to handle different types of jobs.
We know so much more about ancient history from actual texts that have survived thousands of years than you might think, but researchers believe we could unlock even more insights into the past given how many original texts exist but are unreadable thanks to the ravages of time. A group of researchers including scientists from Google’s DeepMind think they can use neural networks to fill in the missing gaps.
As detailed in Nature earlier this month, the researchers have developed a system called “Ithaca,” or “a deep neural network architecture trained to simultaneously perform the tasks of textual restoration, geographical attribution and chronological attribution,” according to the paper. Researchers using Ithaca to decipher texts in poor condition were able to improve their accuracy from 25% to 72%, which could produce an enormous gain in understanding.
Okta acknowledged that a hacker had taken control of an account belonging to one of its site responsibility engineers, which allowed them to gain access to internal Okta data but does not appear to have compromised customer data.
General Dynamics is not the first company many of you might think of when thinking about enterprise tech, but it just won a $4.5 billion deal to build a new hybrid cloud system for the National Geospatial Intelligence Agency.
HPE is one of those companies, and it launched a new version of its GreenLake hybrid cloud software focused on managing services.
Alphabet (aka Google, but fancier) spun out a new subsidiary called Sandbox AQ that will sell some marriage of AI and quantum computing services to “future proof their technologies.”
Whisk isn’t alone in unlocking the global marketplace to find the right types of employees to support its business goals. More than three-quarters of U.S. companies have used remote freelancers, according to research from Upwork, and more than a quarter of businesses plan to go fully remote in the next five years.
Thanks for reading — see you tomorrow!