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Cashing in: Study shows banks investing big in GenAI, and it’s paying off

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Banking tops other industries in adopting the technology for marketing, risk management, customer service and more

CARY, N.C., Oct. 28, 2024 /PRNewswire/ — A new report on the use of generative AI in banking finds that financial services leads other industries in implementing the technology. A recent survey found that 17% of banking leaders have fully integrated GenAI into their regular processes. Further, 3 in 5 currently use GenAI to some degree – and nearly all the rest plan to begin soon. Obstacles remain, led by data privacy and security concerns. But the study confirmed that banks are already realizing GenAI gains across the business.

How does banking stack up to other sectors in the use and adoption of GenAI? Dive in at SAS.com/genai-banking.

The report, Your journey to a GenAI future: A strategic path to success in banking, is based on findings from a global, cross-industry survey by data and AI leader SAS and Coleman Parkes Research. Among 1,600 business leaders surveyed in 20 countries, 243 were senior banking execs who are decision makers on their organization’s GenAI strategy. Their insights offer an insider’s look at how banks are implementing GenAI, their biggest challenges, and how banking compares to industries like insurance, the public sector, health care, manufacturing, retail and more.

“GenAI is obviously a major trend across sectors right now, but maybe most significantly in financial services,” said Alex Kwiatkowski, Director of Global Financial Services at SAS. “Our survey found that banks, along with insurers, are currently using GenAI at higher rates than other industries. Among the many benefits early adopters are seeing, one of the most oft-cited by banking leaders is in risk management and compliance, where nearly nine in 10 reported improvements after deploying GenAI.”

Banks are all in on AI, with the budgets to prove it
The interest rates on savings accounts and loan applications may be ticking downward, but banks’ interest in generative AI is as high as ever. In fact, it’s nearly unanimous, with 98% of banking respondents either already using GenAI (60%, tied with insurance for the highest adoption rate) or planning to do so within the next two years (38%). And it’s not just talk: 90% said they have a dedicated GenAI budget for the coming year.

Beyond the 17% of banking leaders who reported fully implementing GenAI into their business processes, another 43% indicated they are experimenting with the technology at the enterprise level. Six in 10 said they have deployed at least one GenAI use case to date – the highest of any industry.

Banks are also using GenAI across departments and business functions. Compared with cross-industry averages, banks use GenAI at a higher rate in marketing (47%), IT (39%), sales (36%), finance (35%) and customer service (24%).

“GenAI technology is a double-edged sword for banks, as it has been weaponized by criminals to commit fraud faster than banks can adopt GenAI to protect their customers,” said Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions at SAS. “But better anti-fraud safeguards are just one of many potential advantages awaiting firms that take the GenAI leap. In fact, leaders on the first wave of GenAI implementation are seeing early returns on their investments in many areas of the bank.”

GenAI is already paying dividends in banking
The benefits from GenAI in banking aren’t just aspirational; they’re already happening, particularly in banks’ internal processes. Among bank leaders that have integrated GenAI, huge majorities are seeing gains in:

Employee experience and satisfaction (90%).Risk management and compliance (88%).Time savings and reduced operational costs (85%).

In addition, more than three-quarters reported improvements in customer satisfaction and retention (82%); efficiency in processing large data sets (78%); and sales or market share from data-driven insights (76%).

Marketing emerged as the most common area for banks to use GenAI, cited by 47% of banking leaders polled. A related SAS study, based on a separate survey of marketing professionals, found that banking marketers most frequently use GenAI for customer interactions (44%) and generating written copy (33%). They also plan to expand its use within the next year to audience targeting (64%) and trend analysis (64%).

Banking, like other industries, faces obstacles to GenAI success
Like many investments, GenAI does involve a degree of risk and uncertainty. Banking leaders’ foremost concerns involve protecting the privacy (74%) and security (71%) of their – and their customers’ – data. One potential solution? Synthetic data. Nearly one-third (29%) is already using this form of GenAI, and another 33% said they are actively considering it.

Implementation challenges are another obstacle facing the banking industry. Over half (54%) said that using public and proprietary data sets has been, or likely will be, an obstacle to implementing GenAI. And nearly as many (49%) said they are experiencing challenges moving GenAI from conceptual to practical.

Finally, banking leaders also worry about GenAI governance and regulation. Only 6% of those surveyed said their current governance framework is “well-established.” Most (58%) indicated that their frameworks are “in development” – but more than a third viewed theirs as either “ad hoc or informal” (27%) or “non-existent” (9%). The biggest hurdles to implementing effective governance and monitoring? Almost one-third (30%) cited technological limitations. Another 30% pointed to lack of transparency and accountability, a number that’s slightly higher than other industries.

“GenAI is changing the world of banking in ways that were previously unimaginable – and at astonishing speed,” said Kwiatkowski. “There is no shortcutting AI governance in banking or any industry. Trustworthy AI requires a foundation of human centricity, and it must embody the other core tenets of responsible innovation – inclusivity, transparency and accountability among them.”

Dig deeper into GenAI insights, in-person or online
Today’s announcement was made during Money20/20, branded the largest global fintech event enabling payments and finserv innovation, convening in Las Vegas, Oct. 27 – 30. Attendees are invited to engage with SAS experts on GenAI and other topics throughout the conference at Booth 3703.

To explore additional findings from SAS’ global GenAI study, download the banking report at SAS.com/genai-banking and check out SAS’ interactive GenAI data dashboard.

About SAS
SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved.

Editorial Contact:         

Trey Whittenton             

Danielle Bates

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Danielle.Bates@sas.com 

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SOURCE SAS

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ACEC California Awards More Than $100,000 in Scholarships to Engineering and Land Surveying Students

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SACRAMENTO, Calif., May 4, 2026 /PRNewswire/ — The American Council of Engineering Companies of California (ACEC California) has announced the recipients of its 2026 Scholarship Program, awarding a total of $102,500 to 14 students, including six graduate students and eight undergraduates, pursuing degrees in engineering and land surveying at colleges and universities throughout California.

Administered by the ACEC California Scholarship Foundation, the annual program supports accomplished undergraduate and graduate students preparing for careers in engineering and land surveying. In addition to scholarships awarded by ACEC California, students may also receive accompanying funds through the ACEC national organization and local ACEC California chapters.

“I commend the American Council of Engineering Companies of California for its investment in students that helps strengthen California’s infrastructure and engineering workforce,” said Senator Dave Cortese (D-San Jose). “These scholarships expand access to the education and training needed for students to pursue meaningful careers in engineering and land surveying related fields. California’s future depends on a strong pipeline of skilled professionals, and programs like this ensure our communities will benefit from their expertise for decades to come. I commend San Jose State University student, and Senate District 15 resident, Thao Huynh, along with all recipients of this prestigious scholarship program.”

The 2026 scholarship recipients reflect a strong combination of academic achievement and real‑world experience, pairing rigorous coursework with internships, professional employment, applied research and leadership roles in student and industry organizations. The group also represents the diverse pathways into today’s engineering and land surveying professions, including first‑generation college students, veterans, and professionals returning to school to advance their careers.

“ACEC California is honored to recognize these exceptional students who represent the future of our industry,” said Tyler Munzing, executive director of ACEC California. “As our state continues to prioritize the modernization of our critical infrastructure, investing in the next generation of engineers and land surveyors has never been more vital. We are proud to support these dedicated individuals as they prepare to lead California toward a more innovative and efficient future.”

More than 150 applications were reviewed by the ACEC California Scholarship Foundation’s volunteer Board of Trustees, chaired by Chris Diaz of Diaz•Yourman & Associates. Trustees include Donald Blackburn of Blackburn Consulting; Jeff Gavazza of KPFF Consulting Engineers; Michael Jaeger of Tanner Pacific; Henry Liang of MKN, an Ardurra Company; Jane Rozga of GHD; and Aundrea Tirapelle of Psomas.

Scholarship funds will be distributed to recipients at the beginning of the fall 2026 semester.

2026-27 Scholarship Foundation Award Recipients

Todd Allen-Gifford, Stanford University, pursuing a master’s in structural engineering and construction engineering.Owen Daulton, Loyola Marymount University, pursuing a master’s in mechanical engineering.Thao Huynh, San Jose State University, pursuing a bachelor’s in software engineering.Caden Kakoschke, California State University, Long Beach, pursuing a bachelor’s in mechanical engineering and naval architecture and marine engineering.Gaurav Kumar, University of California, Los Angeles, pursuing a bachelor’s in computer engineering.Grace Murphy, California Polytechnic State University, San Luis Obispo, pursuing a bachelor’s in mechanical engineering.Carlos Navea, San Diego State University, pursuing a master’s in civil engineering and structural engineering.Ryan Nguyen, California Polytechnic State University, Pomona, pursuing a master’s in civil engineering.Jacey Niiya, Stanford University, pursuing a master’s in structural engineering.Peter Otoshi, California Polytechnic State University, Pomona, pursuing a bachelor’s in civil engineering.Emily Petersen, California State University, Fresno, pursuing a bachelor’s in surveying and geomatics engineering technology.Paisley Tabor, Stanford University, pursuing a bachelor’s in mechanical engineering.Victor Vega, University of the Pacific, pursuing a bachelor’s in civil engineering and structural engineering.Zenia Zipp, California State University, Fresno, pursuing a master’s in civil engineering and surveying and geomatics engineering.

Learn more about the ACEC California Scholarship Foundation program and the awarded students at www.acec-ca.org/scholarship.

ACEC California represents over 1,000 engineering and land surveying firm offices and nearly 25,000 professionals who are involved in all aspects of the design, construction, and repair of California’s residential, commercial, industrial, and public works infrastructure.

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SOURCE American Council of Engineering Companies, California

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HDT Conducts Hunter WOLF Training with 10th Mountain Division

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Second training event in one month highlights continued Army engagement, evaluation

FREDERICKSBURG, Va., May 4, 2026 /PRNewswire/ — HDT Robotics is conducting a new round of training and evaluation activities with Hunter WOLF unmanned ground vehicles (UGVs) at Fort Polk, Louisiana, with soldiers from the U.S. Army’s 10th Mountain Division.

The Hunter WOLF is a robotic multi-mission unmanned ground vehicle designed to reduce workload, extend operational duration, and keep soldiers in the field longer, with less fatigue and at safer distances. Built specifically for military operations, it delivers mobility, payload, and power in a compact system, engineered to perform in demanding environments where commercial vehicles fail.  

“The Hunter WOLF is a proven platform that’s ready to support operations today. It’s not a concept still in development like other options,” said Tom Van Doren, President, Robotics Sector at HDT Robotics. “Training directly with units like the 10th Mountain Division ensures the system continues to meet operational requirements and provides a dependable solution the military can confidently deploy.”

The training event will provide hands-on experience for soldiers in one of the Army’s elite light infantry units, known for rapid deployment and operations in complex, extreme environments, including mountainous and cold-weather conditions. During the event, soldiers will operate and evaluate the Hunter WOLF in real-world scenarios, gaining experience in system operation, mission integration, and sustainment across a range of mission tasks.

“Training events like this show how adaptable the Hunter WOLF’s modular design is across different mission requirements,” said John Conway, VP of Business Development, Robotics at HDT Robotics. “Soldiers are able to configure it quickly and apply it to operational tasks without adding complexity.”

During training, soldiers will operate Hunter WOLF vehicles configured for communications, sustainment, support, and employment of equipment normally too heavy for dismounted units to transport, such as loitering munitions. These configurations include:

Two Vehicle-mounted Tactical Radios (AN/VRC-158)Five Universal Battery Chargers (UBC)60-gallon Water Purification SystemsCasualty Evacuation (CASEVAC)15kW Mobile Power Export (120/240VAC inverter offload)Extended Cargo Rails for Equipment Transport

The training marks the second Hunter WOLF event conducted with the Army in the past month, reinforcing HDT’s commitment to delivering proven, field-ready robotic platforms that enhance operations while prioritizing soldier safety.

About HDT Robotics: HDT develops rugged, modular robotic systems to perform tasks in hazardous and demanding environments. Building on a legacy of advanced government and industrial robotics development, the company engineers precision manipulators and mobile platforms that reduce personnel risk while enabling critical operations in expeditionary, contaminated, or unsafe environments. For more information, visit HDTHunterWOLF.com.

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SOURCE HDT Robotics

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Roomba Pioneer Colin Angle Unveils New Venture, Familiar Machines & Magic, Introducing a New Platform for Consumer Physical AI

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After building iRobot into a multi-billion-dollar business and architecting the global consumer robotics industry, Angle launches a new company to build emotionally intelligent robots designed for trust, interaction, and long-term connection.

BOSTON, May 4, 2026 /PRNewswire/ — More than two decades after introducing the Roomba and helping define consumer robotics, Colin Angle is returning with a more ambitious vision: Artificial Life. On stage today at The Wall Street Journal’s Future of Everything conference, Angle unveiled Familiar Machines & Magic, bringing the company out of stealth and introducing Familiars – physically embodied AI systems designed to perceive, adapt, and interact with people in ways that feel natural and consistent.

“The next era of robotics is not just about dexterity or humanoid form – it’s about machines that can build and sustain human connection,” said Colin Angle, cofounder and CEO of Familiar Machines & Magic. “Today, we’re emerging from stealth to share our vision for systems that move beyond task execution and become a natural part of daily life.”

FM&M uses the term “Familiars” to describe emotionally intelligent, physically embodied AI systems that perceive their environment, develop a distinct personality, and respond in ways that learn and evolve through life with the people around them.

Physical AI’s Next Frontier: From Capability to Human Connection
The global race to build Physical AI is on. From humanoid robots promising factory labor to autonomous systems reshaping logistics, tens of billions of dollars are flowing into machines designed to move, lift, sort, and transport. But this is only half the opportunity – the back-end, industrial physical AI opportunity. The other half is consumer-facing, for all of the use cases where robots will interact with humans, and it requires a fundamentally different approach.

Consumer Physical AI demands human connection – the ability to not just perform physical tasks, but to understand, communicate, and respond in ways that feel intuitive and supportive. This opportunity extends across daily life – anywhere people and machines intersect – not just within the home.

Consumer Physical AI outperforms screens in these types of emotional work because people respond more strongly to physical presence. While chatbots are widely used for emotional support, they are often less effective and beneficial for their users.

FM&M is focused on developing Consumer Physical AI systems that deliver this kind of interaction at scale by building Familiars.

The company’s leadership team has already brought consumer robotics to global scale. As leaders behind the Roomba platform at iRobot, they deployed more than fifty million robots into homes worldwide, turning a once-experimental category into a household technology. FM&M also brings together talent from Disney Research, MIT, Amazon, Boston Dynamics, Bose, and Sonos, applying deep experience in robotics, AI, and human-machine interaction to this next frontier.

Bringing Familiars to Life: Meet the First Familiar
During a live conversation with Wall Street Journal Technology columnist Christopher Mims at Future of Everything, Angle introduced the first Familiar – the inaugural system powered by FM&M’s Consumer Physical AI platform.

“iRobot proved that robots could deliver value at scale,” Angle said. “But they were still task machines. My goal has always been to create systems that understand context, remember interactions, and behave with consistency over time. That’s what we’re doing at Familiar Machines & Magic.”

A Familiar is purpose-built for social interaction rather than industrial performance. Its hardware and AI architecture are optimized for expressive, whole-body movement that communicates attention, awareness, and intent without relying on a screen.

The first Familiar is a quadruped, specifically designed for human-robot interaction, with 23 degrees of freedom enabling both lifelike movement and expressive behaviors. The Familiar is covered with a custom touch-sensitive coat, a vision system, and a microphone array and audio system, to support rich interactions. Its onboard edge AI stack is powered by a custom small multimodal model optimized for social reasoning, combining vision, audio, language, and memory to create socially responsive behaviors in real time.

Unlike humanoid robots designed to replicate human form for industrial uses, the Familiar is intentionally designed to be approachable and expressive, with a form factor optimized for interaction in everyday environments. It integrates context, memory, and adaptive behavior to create a consistent presence over time. Familiars are optimized for interaction, for presence, and for everyday use.

Today’s reveal marks FM&M’s emergence from stealth, not a commercial product launch. Specific applications, form factors, and timelines will be shared in future updates.

The Path Forward: The First to Scale Physical AI
The Consumer Physical AI market will not be won by the most impressive demo – but by the system people choose to live with. Familiar Machines & Magic is building a Physical AI platform focused on real-world deployment, measurable value, and responsible scaling.

Unlike cloud-dependent AI systems that rely on continuous data streaming, FM&M’s architecture prioritizes on-device, edge AI to reduce latency and strengthen privacy. The company has also established clear data governance guardrails as it develops systems designed for daily life.

By focusing on systems that can scale broadly, FM&M is building a platform that improves through real-world use rather than speculative demonstrations.

Follow the Journey
Familiar Machines & Magic will share updates, research, and progress as it develops its Familiars platform; this is just the beginning. If you’re curious what life with a Familiar could look like, sign up at familiarmachines.com or follow FM&M on LinkedIn and X.

About Familiar Machines & Magic
Familiar Machines & Magic is pioneering Consumer Physical AI, beginning with Familiars – physically embodied AI systems designed to form long-term, emotionally intelligent relationships with people. The company’s mission is to create artificial life to build a more caring world.

Founded by Colin Angle, cofounder and former CEO of iRobot, FM&M builds on more than three decades of consumer robotics experience. Angle is joined by cofounders Ira Renfrew, Chief People and Product Officer (C2PO), and Dr. Chris Jones, Chief Research and Development Officer (CRDO) – veteran robotics and AI leaders with experience spanning iRobot, Amazon, and other global consumer technology platforms.

Collectively, the founding team has deployed over 50 million consumer robots worldwide and led advances in navigation, machine learning, and human-robot interaction. The broader team brings additional expertise from institutions including Disney Research, MIT, Boston Dynamics, and USC.

With offices in Boston, LA, and Hong Kong, Familiar Machines & Magic is building a long-term platform for Artificial Life in partnership with leading researchers, engineers, and strategic collaborators.

For more information, visit: familiarmachines.com.

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SOURCE Familiar Machines & Magic

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