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Google Gemini, Alphabet’s flagship generative AI, is being acquired by Honeywell to reduce maintenance costs, increase productivity and upskill employees by providing insights into massive data sets for industrial giants.

“Moving toward automation requires assets to work harder, people to work smarter and processes to operate more efficiently,” Honeywell CEO Vimal Kapur said in a statement announcing the partnership. Honeywell will begin providing AI insights to industrial customers in 2025.

Kapur recently told CNBC that the biggest problem AI can solve in the industrial sector is first and foremost a generational shortage of workers, with falling birth rates in industrialized countries leading to a smaller workforce for jobs that were popular 25 years ago. “Everyone in industry has this problem,” he said at a recent CNBC event on AI opportunities. Kapur told CNBC that with the help of an AI co-pilot, AI will enable an employee with five years of experience to work at the same level as an employee with 15 years of experience.

The AI ​​agents provided by Google will help engineers automate tasks and help technicians solve maintenance problems. Kapoor told CNBC at a recent event that Honeywell will soon embed connectivity in jet engines to enable predictive maintenance and reduce the time needed to work on the shop floor.

While AI is already being used in the industrial sector, the partnership will take it a step beyond current “AI point solutions,” Honeywell said, and will take AI “beyond simple chat and predictions” by connecting Google AI to the Honeywell Forge IoT platform.

Honeywell Forge, an IoT platform that contains information from Honeywell products’ industrial designs, manuals, and real-world performance, will leverage Google Cloud’s Vertex AI and Google’s large language models to build AI agents trained on that data.

“We are moving from automation to autonomy,” Suresh Venkatarayalu, Honeywell CTO and president of Honeywell Connected Enterprise, said in a Google blog post about the deal. “Our goal is to equip enterprises with AI agents that assist workers in real time — both on the factory floor and in the field.”

Workers can ask AI questions like “How did this department perform last night?” or “Why is my system making that sound?” according to the company.

Google AI will provide engineers with images, videos, text and sensor readings.

Carrie Tharp, vice president of strategic industries at Google Cloud, said in a blog post: “Industrial companies play a vital role in our daily lives, whether it’s the planes we fly, the medical devices we use, or the sensors that manage the air conditioning in our offices. As an entire generation of workers retires and, in many cases, there is no one to replace them, industrial companies are under tremendous pressure.”

Honeywell said the company is also exploring the use of Gemini Nano, a version of AI built into the device, to operate in locations such as data centers, hospitals, refineries and warehouses, especially in rural areas where internet connectivity may be problematic. Gemini Nano can provide AI directly on scanners, sensors and controllers to enable autonomous operations.

For AI giants like Google, getting industries across the economy to adopt AI is critical to turning capital-intensive technology into profitable opportunities. According to Honeywell, 82% of companies in the industrial sector that consider themselves AI leaders are lagging in adoption, and only 17% have fully launched initial AI programs.

Businesses in the economy also want their internal data to be as valuable as large language models like Gemini, which is the engine driving the next generation of AI. Hugging Face is one of the world’s most highly valued next-generation AI startups, with investments from Amazon, Nvidia and Google. “Data and datasets are the next frontier in AI,” said Clément Delangue, co-founder and CEO of the company, at the CNBC Evolve AI Opportunity event. He pointed out that more than 200,000 public datasets have been shared on the Hugging Face platform, which uses open source to develop AI models, and the data sets on the platform are growing faster than the growth of new large language models.

“The world will continue to evolve, and every company, every industry, and even every use case will have its own specific customized model,” said Delangue.

Siemens and Microsoft announced an AI agreement for the industrial sector late last year, which includes an AI co-pilot that can be used across industries.

Kapur believes that AI is a growth opportunity for the labor-starved industrial sector, which will bring new revenue opportunities rather than using it as a productivity tool first, and he is optimistic about the adoption curve quickly steepening. “Awareness is high, adoption is low, but there will be an inflection point,” he said at a recent CNBC AI event. “I do believe 2025-2026 will be a big year for AI adoption in the industrial sector.”
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Francisco Gomes Neto, CEO of Brazilian aircraft maker Embraer, told CNBC that the company is studying markets and new technologies that might warrant it building an all-new jet.

The new plane could help the planemaker compete with larger rivals Airbus and Boeing, which deliver hundreds of planes a year, while Embraer delivers just a few dozen.

But Gomes Neto noted that no decisions have been made.

“At this point, we have no concrete plans to launch a large narrow-body aircraft,” he said, adding that studies of new engine technology, avionics and potential demand “are yet to be prepared.”

Meanwhile, Gomes Neto said Embraer is focusing on improving performance and sales of its regional jets, which won an order from American Airlines earlier this year to build its E2 jet, and “delivering on our commitments to our customers.”

Embraer said on Friday it delivered 16 commercial aircraft in the third quarter, up more than 5% from the same period last year. Including defense and business aircraft, the company delivered 57 aircraft in the quarter, up a third from the same period last year.

Earlier this month, the Federal Aviation Administration (FAA) approved the freighter version of the E190 passenger-to-freighter aircraft, paving the way for its commercial launch.

“That’s probably our advantage: we have a great product,” Gomez Neto said.

Both Airbus and Boeing have struggled to increase production and deliver aircraft on time after the outbreak. Boeing also faces the additional challenges of a safety crisis and a mechanics strike.

Boeing had planned to take over Embraer’s commercial aircraft business but ended negotiations in early 2020. Last month, Embraer said Boeing would pay it $150 million for the failure of the plan.

Like its competitors, Embraer is also facing supply chain pressures brought on by the pandemic, and the company is taking a deeper look at its delivery capabilities.

Gomez Neto said engines, hydraulic valves, cabin interiors and their components are some of the areas where suppliers are struggling to increase production. He added that he expected supply chain issues could ease by 2026.
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Description

The 1900/65A General Purpose Equipment Monitor is designed to continuously monitor and protect equipment that is used in a variety of applications and industries. The monitor’s low cost makes it an ideal solution for generalpurpose machines and processes that can benefit from continuous monitoring and protection.

Inputs

The 1900/65A provides four transducer inputs and four temperature inputs. Software can configure each transducer input to support 2- and 3-wire accelerometers, velocity sensors or proximity sensors. Each temperature input supports Type E, J, K, and T thermocouples, and 2- or 3-wire RTDs.

Outputs

The 1900/65A provides six relay outputs, four 4-20 mA recorder outputs, and a dedicated buffered output. The user can use the 1900 Configuration software to configure the relay contacts to open or close according to the OK, Alert and Danger statuses of any channel or combination of channels, and to provide data from any variable from any channel on any recorder output. The dedicated buffer output can provide the signal for each transducer input.

A Modbus Gateway option allows the monitor to provide static variables, statuses, event list, time and date information directly to any Modbus client, including Distributed Control Systems (DCSs), Supervisory Control and Data Acquisition (SCADA) systems, Programmable Logic Controllers (PLCs), or System 1 software. The monitor uses an internal counter and a Modbus client/master time reference to generate time and date information. Users can upgrade monitors without the Modbus Gateway by ordering the 1900/01 Communications Upgrade (see the Ordering Information section). The 1900/65A supports Modbus communications via Ethernet and a software-configurable RS232/485 serial port.

Configuration

The user defines monitor operation and the Modbus Gateway register map by using software running on a laptop or PC to create a configuration file and download the file to the monitor through the built-in Ethernet connection. The 1900/65A permanently stores configuration information in non-volatile memory, and can upload this information to the PC for changes.

Display Module

The 1900/65A supports an optional display/keypad to view channel information or make minor configuration changes. This allows the 1900/65A to operate as a stand-alone package. If desired, the user can mount the display up to 75 metres (250 feet) from the Monitor Module.
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