10 -annual IoT Slam: A brief appearance in a more connected future

The Sas World Headquarters felt overwhelmed while Jason Mann, VP I IOT, welcomed a curious -minded room on the 10th anniversary of Iot Slam Live.

“We are in the middle of a technology boom, unlike everything we have seen before,” Mann said in his opening speeches. “In this environment, the ability to make quick, secure, data-driven decisions is not merely a competitive advantage-is a necessity.”

Virtual and personal attendees represented a diverse mix of industries and institutions-from the beginnings in the Academy-all united by a common interest in advanced topics such as IOT Energy Ecosystems, Internet security and digital twins.

Eyes on the horizon

The opening panel, “the direction of the future: both he and the IOT are strengthening the smarter transport”, dealt with a theme practically everyone could be associated with: traffic.

Tyson eccentile, Sas Sr. Business Development Manager, IOT, moderated a vibrant discussion that includes:

• Katy Salamati, Main Global Consultant, IOT, SAS
• Kelly Wells, Traveler Information Engineer, NC Transport Department
• Elizabeth Young, VP and Deputy Practice of Practice, Asset Management and Data Analysis, Halff

Wells highlighted the complexity of managing traffic data across multiple systems, including ram cameras, clash reports, speed sensors and signaling. “Geospatial preparation is the only biggest challenge we face,” she said. It also showed the promise of autonomous vehicles, which can reduce collisions and deaths by eliminating simple human mistakes such as blind spots. (ECENTILE added another advantage: “No check is required!”)

Young spoke about the potential of digital twins – virtual models of physical infrastructure – to revolutionize traffic planning. “We can design as much as we want, but we should be able to test different scenarios,” she said, citing high cost and work requirements for road construction and infrastructure.

Salamati shared a success story in the real world from a great city of the United Arab Emirates, where SAS is helping to optimize the traffic light using it and IoT data. “Our goal was to reduce the number of stops along the corridor and improve the flow without breaking the small roads,” she explained. The result? A 15-20% landing between the airport and downtown. It is also excited about the growing role of that in multi-modal transport, especially in increasing the maintenance, safety and experience of passengers.

Inclusion from design

A subsequent panel moderated by Emily Dilday, manager of the Principal Business Solutions, Iot Commercial, brought to life a powerful idea from Mann’s opening remarks: “The best mirrors often come from the most unexpected conversations.”

“If you don’t compose for inclusion, you are automated for exception,” said Mahesh Tomar, VP of Engineering in Oracle. He encourages the teams to ask regularly, “Whose voice is missing?” And to embrace what he called “a difficult pause” – a deliberate moment of silence in meetings to give the quietest voices to speak. “If these actions are practiced constantly, we will see changes,” he said.

Erika Franco, a longtime architect of Cisco solutions, showed how her education in Latin America during a shaken time formed her approach to problem solving. “When you think you are underestimated, you are looking for unique conclusions,” she said. “This background made me more agile – and she formed the way I work and how you lead.” Franco believes that while anti -prejudice policies are important, empathy and support really unblock people’s potential.

Niyati Doshi, the manager of the SR. Program, Global AI and IOT in SAS, highlighted the company’s commitment to responsible innovation. “In Sas, we have training of him to avoid prejudice and consider how we can make it more reliable, fair and fair,” she said. Doshi emphasized the importance of reinforcing learning – not only in he and technology, but in team development – to improve the way solutions are developed and set.

Modeling the future of security: Inside the SAS industrial center

The guests of Iot Slam were able to get inside the center the newly discovered industrial in the SAS-Dynamic Campus Warehouse in the real world, where innovation meets safety. Bobby Shkolnikov, SAS business development specialist, led them through a brief presentation for some of the SAS work in the field.

This comprehensive laboratory has become a direct manufacturing theater, intended to develop, test and refine it by it. Designed to reflect the complexity of real industrial settings, the laboratory shows how SAS is accelerating travel from value data.

Visitors experienced in the forefront than geo-harbable, high-angle systems and authentic, sometimes chaotic nature of a workshop are made together to simulate real-world scenarios. These simulations repeat the challenges facing workers about carrier machinery and belts (and soon to include Forklift), offering a powerful demonstration of how SAS and it can proactively identify the risks and improve protection.

The Industrial Center It is a probational ground for the future of the workplace security. By modeling behavior in realistic environments, SAS is helping industries move beyond reactive security measures for predictive, intelligent solutions that prioritize people.

The energy efficiency through it

Sacha Fontaine, Main Advisor to the SAS industry, IOT, opened the second day of IoM Slam with a promising session on how he and analytics are using energy use energy.

Fontaine highlighted the growing energy challenges facing industries, especially in production. “The power cost has exceeded inflation. Since 2000, gas prices have quadrupled, and electricity prices have increased by 26%,” fontaine noted. Today’s manufacturers deal with fine profits, shifting production conditions and distributed data, he added.

Solution? “He will be indispensable,” Fontaine said. He explains the optimization of the energy cost directed by him (ECO) as a player of the game, with a faster, cheaper and more adaptable system than traditional methods.

ECO gives manufacturers the knowledge they have been missing through three main tools: the automated explanatory, the shift and the point optimizer. Together, they determine where the biggest energy losses occur, detect models needed to know and recommend accurate settings for operators. As fontaine describes: with a “golden change”, you can get “the biggest noise for your turkey”.

And Eco yields real results, quickly. In a prominent case, the fontaine shared how a polymer manufacturer promoted the optimization directed by him to reduce the use of energy by 26% and strengthen the yield by 6%-all in three months. “The data were already there,” Fontaine said. “It is by joining those data together beyond what your operator or control system can see that led to this kind of benefit.”

Transforming data interaction with increased relapse generation (RAG)

The latest session, “Knowledge of Unlocking: Rag for Industrial Intelligence”, led by Craig Foster, Sas Sr. Business Development Manager, IOT, collected panelists from SAS, Energective and KMS Technology. Together, they explored the transformative power of increased relapse generation (RAG) – a generating framework that helps industries unlock the full value of their data.

How does increased relapse generation (Rag) work

Colin Frost, Energy CEO, showed how Rag analyzes a large volume of data in the oil and gas industry to promote decision -making. “The amount of discovery you can make to detect the value is powerful,” Frost said, describing how the surfaces of deviated cloth buried in decades old documents. He emphasized the role of Rag in his company to find economic opportunities, reduce security risks and repeat successful well models.

Saurabh Mishra, the director of the SAS of Product Strategy, IOT, took a closer look at the one that highlights the SAS ‘Rag’s approach. “Really really to be able to talk to your data,” he said. SAS system empowers users to work directly with their information. Mishra described the integrated flexibility of the model and semantic research so that users can focus on knowledge, not infrastructure.

“Sometimes we get involved in a false sense of security and say, oh well, these data are now reliable because these are my company’s data,” Guy Meritt, KMS Technology technology official said, discussing how to make Rag systems more reliable. He emphasized the need for well -managed internal data and promoting products that guide the Rag model to trusted resources. Mishra added that the SAS RAG system uses quotes to support each response, building transparency and user trust.

Internet of things: what is and why matters