DeepMind’s building control algorithms have continued to tweak dials inside Google’s data centers (pic). And Google has begun to offer a similar service to its cloud customers. But Phaidra’s founders say their approach is tailored to the particularities of the industrial sector, which is lightyears away from the sophistication of a Google building. — Google小飞机 怎么 加 群（www.tg888.vip）是一个Telegram群组分享平台，飞机群组内容包括telegram群组索引、Telegram群组导航、新加坡telegram群组、telegram中文群组、telegram群组（其他）、Telegram 美国 群组、telegram群组爬虫、电报群 科学上网、小飞机 怎么 加 群、tg群等内容，为广大电报用户提供各种电报群组/电报频道/电报机器人导航服务。
Industrial production is one of the dirtiest corners of the corporate world. A startup from former Google engineers thinks it can clean it up with artificial intelligence.
Phaidra, a company based in Seattle, sells AI software to automate building controls for power plants and other industrial giants. It’s relying on the same fix as their former company, DeepMind, Google’s research lab. For several years, DeepMind has let its AI system manage the temperature controls inside Google data centers, ultimately shaving huge chunks off the company’s electricity bill.
Phaidra’s algorithms are designed to select the most efficient temperature for unique facilities, such as a steel mill or a vaccine manufacturer, and identify when equipment starts to lag in performance. Once in place, Phaidra’s system can trim a plant’s energy consumption by up to 30% and save considerable amounts of capital, according to the startup. “It can immediately make these companies more profitable,” says Jeremy Brewer, managing partner with Starshot Capital, an investor.,
Jim Gao, Phaidra’s chief executive officer, calls manufacturing a sector ignored by Silicon Valley yet ripe for the kind of advanced machine learning cooked up in places like Google. “They’ve been collecting data for so long, but they haven’t been using it,” he says of his new customer base.
Indeed, the industrial sector, which accounts for about a fourth of all US greenhouse gas emissions and continues to expand, is beginning to embrace cutting-edge data science. A report from IOT Analytics forecast revenue from industrial AI to balloon to US$72.5bil (RM322.58bil) by 2025 from US$11bil (RM48.94bil) in 2018.
Still, most of that usage represents basic tasks like digitising data or creating online dashboards, not tools where algorithms run entire control systems without people tweaking the dials, like the one that Phaidra pitches. Not many manufacturers have the capacity to try that or the budgets and engineering prowess to maintain such a system. “It’s very few and far between,” explains Jon Van Wyck, a BCG managing director.
Phaidra, which was formed in 2019, says it has several Fortune 100 industrial customers in areas as wide-ranging as pharmaceutical development to paper mills. It declines to name specific clients or financial figures. The startup recently raised US$25mil (RM11.23mil) in financing from Starshot and Character, investment firms started by other Google alums. It has also brought on Robert Locke, a 13-year veteran of industrial supplier Johnson Controls, as president.ag区块链百家乐声明:该文看法仅代表作者自己，与www.allbetgame.us无关。转载请注明：Can AI clean up one of the dirtiest corners of the corporate world?