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Sidestepping AI’s Pitfalls: The Unforeseen Implementation Risks

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The genie is out of the bottle, with AI poised to grant the wishes of every competitive enterprise with efficiency, profit, and growth. However, relying on the promises of nascent technology heedless of its potential pitfalls can undermine its eagerly anticipated benefits. Companies risk mismanaging massive amounts of data without defining and aligning tangible business goals with clear objectives. Rich Fennessy, CEO of Trace3, encourages businesses to develop robust data management strategies that support the successful integration of AI and other emerging technologies to avoid stagnation, increased cybersecurity threats, and missed financial opportunities.

IRVINE, Calif., July 8, 2024 /PRNewswire-PRWeb/ — It’s becoming less a matter of “if” or “when” companies will incorporate AI tools into their business model, but rather “how” they will integrate its advantages into their daily operations. According to research conducted by Exploding Topics, 77% of companies are currently using or exploring the applications of AI in their businesses, with 83% reporting that AI is a top priority in their future plans. Nine out of ten organizations believe AI offers a competitive advantage. (1) However, despite all the optimism surrounding its limitless possibilities, 70% to 80% of all AI projects fail. (2) Rich Fennessy, CEO of Trace3, advises, “To mitigate the financial risks associated with the high failure rate of AI projects, companies should adopt a practical and strategic approach. Focus on selecting the right use cases that align closely with business objectives and offer clear, measurable outcomes. Prioritize high-impact, feasible projects that can demonstrate quick wins, thereby building confidence and securing further investment.”

“Maintaining a competitive edge in today’s AI-driven landscape requires a purposeful approach,” emphasized Rich Fennessy, CEO of Trace3. “It’s about aligning technology with business strategy and ensuring AI readiness for success.”

Emerging technologies arrive in tandem with associated risks that are often overlooked. Misalignment with strategic goals can lead to poor ROI and low buy-in and shortcuts in technology infrastructure impede progress and increase costs. The demand for experts and workforce retraining slows adoption, while a lack of expertise among executives can impact decision-making and risk assessment. Treating emerging technology as incremental improvement rather than transformative can limit success. The lightning-fast pace of innovation can outpace risk assessment and regulation, leading to safety and security concerns. Large volumes of data create vulnerabilities that require data governance, secure infrastructure, and compliance measures. (3)

Essential Strategies for Successful Technology Integration
Fennessy offers the following solutions to successfully overcome the inherent risks when implementing emerging technology like AI:

1. Develop Robust Data Management Strategies for AI Integration: Data preparation is essential, as many enterprises struggle with data quality and availability issues. Establish strong data governance with clear policies for quality, security, and privacy. Use data profiling to identify inconsistencies and anomalies. Implement scalable architectures like data lakes or warehouses to store, manage, and organize diverse data types efficiently.
2. Align AI Projects With Business Objectives: Engage both business and technical stakeholders to identify specific AI use cases that align with business objectives and deliver measurable outcomes, using techniques like “art of the possible” workshops to uncover potential ideas. Conduct pilot projects to test and refine these use cases, focusing efforts on high-impact areas and being prepared to pivot if necessary.
3. Mitigate Financial Risks of AI Project Failures: Poor data quality and management are common reasons for AI project failures. Invest in reliable data assessment, cleansing, and validation. Establish strong data governance frameworks to maintain data integrity, security, and compliance. Choose the right platforms for AI deployment, such as cloud solutions offering advanced AI and machine learning tools, pre-built models, and infrastructure, significantly reducing initial setup costs and time.
4. Address Ethical Concerns in AI and Emerging Technologies: Communicate clearly on data usage and AI decision-making processes. Implement oversight mechanisms to prevent misuse and ensure compliance. Adhere to data protection regulations, employ anonymization techniques, and audit AI systems to identify and mitigate bias.
5. Balance Operational Disruptions with Innovation: AI should be implemented as an integral business component, requiring visionary leadership and a culture of testing assumptions to foster technical trust. While explainability is crucial in critical use cases, preparing for future adoption remains essential for evolving technologies.
6. Cybersecurity Measures for Emerging Technologies: Organizations must ensure transparency in data handling, aligning with the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other privacy standards while enhancing anonymization and cybersecurity. Mitigating bias involves using diverse datasets, regular audits, and adopting bias detection tools for AI. Establishing ethical AI frameworks and ongoing employee education promotes responsible deployment aligned with organizational values.
7. Ensure Regulatory Compliance in Technology Implementations: Regular risk assessments identify tech vulnerabilities and monitor threats. Solid security systems like the NIST Cybersecurity Framework, ISO/IEC 27001, and CIS Controls ensure comprehensive protection with advanced endpoint security, network segmentation, encryption, and strong access controls. Implementing vulnerability management, incident response plans, and ongoing training to defend against cybersecurity threats are crucial for organizations using third-party services.

Trace3 transforms enterprises through collaborative, strategic consulting, adaptive technology, and convergent solutions that deliver visible and measurable results. Fennessy concludes, “Maintaining a competitive edge in today’s AI-driven competitive landscape requires a purposeful approach. It’s not simply about getting on board with the latest technology, it’s about bending it to align with your strategy and desired business outcomes, while ensuring your AI data readiness supports a roadmap that leads straight to success.”

About Trace3:
Today there is a great deal of noise in the technology industry around AI, but not much practical intelligence is offered. Trace3, based in Irvine, California, delivers over 20 years of expertise in delivering innovation in the form of emerging technology, providing unique technology solutions and consulting services to change this – and drive its implementation across enterprises. Their elite engineering and dynamic innovation provide convergent solutions that embrace emerging technology and drive measurable value. Trace3 embodies the spirit of a startup with the advantage of a scalable business. Trace3 believes that ALL Possibilities Live in AI. For more information, visit http://www.trace3.com.  

References:
1. Tprestianni. “131 AI Statistics and Trends for 2024.” National University, 1 Mar. 2024, nu.edu/blog/ai-statistics-trends/#:~:text=According%20to%20research%20completed%20by,priority%20in%20their%20business%20plans.
2. Rschmelzer. “Top Reasons Why AI Projects Fail.” Cognilytica, 26 Dec. 2023, cognilytica.com/top-10-reasons-why-ai-projects-fail/#:~:text=The%20Shocking%20Truth%3A%2070%2D80%25%20of%20AI%20Projects%20Fail!,-Despite%20the%20buzz&text=Not%20surprisingly%2C%20there%20are%20a,ways%20to%20navigate%20these%20challenges.
3. “Eight Overlooked Emerging Tech Risks and How to Mitigate Them.” ISACA, isaca.org/resources/news-and-trends/newsletters/atisaca/2024/volume-9/eight-overlooked-emerging-tech-risks-and-how-to-mitigate-them. Accessed 1 July 2024.

Media Contact

Karla Jo Helms, JOTO PR™, 727-777-4629, khelms@jotopr.com, jotopr.com

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Jtibot Showcases Autonomous Outdoor Sweeping Innovation at Interclean Amsterdam 2026, Accelerating European Market Expansion

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AMSTERDAM, April 24, 2026 /PRNewswire/ — Jtibot, a developer of autonomous outdoor cleaning solutions, concluded a successful showcase at Interclean Amsterdam 2026, highlighting its focus on large-scale, AI-driven sweeping for industrial, municipal, and campus environments.

At Hall 8, Booth 538, Jtibot presented its autonomous outdoor sweeper designed for environments exceeding 10,000 sqm. Positioned between traditional equipment and emerging robotics, the system addresses the growing demand for more efficient and less labor-dependent outdoor cleaning operations.

During the exhibition, Jtibot attracted strong interest from European distributors and facility management professionals seeking scalable solutions for large-area maintenance. The company was also featured in an official media interview at the event, reflecting increasing attention toward autonomous technologies in the cleaning industry.

Jtibot’s approach centers on human-machine collaboration. By reducing repetitive manual work while maintaining operational flexibility, its systems support more sustainable and efficient facility management practices. This aligns with broader ESG (Environmental, Social, and Governance) priorities, including improved resource efficiency and enhanced working conditions.

Building on its presence at Interclean, Jtibot is currently advancing discussions with multiple European partners for regional distribution and deployment. The company is also in the final stage of a fleet procurement agreement valued at approximately $1.4 million, signaling early commercial traction in large-scale applications scenarios.

“As outdoor environments continue to grow in scale and complexity, automation is becoming essential,” said Steven, VP at Jtibot. “Our goal is not to replace people, but to empower them—making operations more efficient and labor more sustainable.”

Following Interclean Amsterdam 2026, Jtibot is actively expanding its European partner network and preparing for broader market deployment across key regions, as it accelerates its global commercialization strategy.

About Jtibot
Jtibot specializes in autonomous outdoor sweepers designed for large-scale environments. By combining AI-driven navigation with industrial-grade hardware, the company enables efficient, scalable, and sustainable cleaning operations worldwide.

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2U Refinances and Raises Growth Capital

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ARLINGTON, Va., April 24, 2026 /PRNewswire/ — Many education technology companies spent 2024 and 2025 scaling back. New university partnerships slowed as institutions built internal capacity. Against that backdrop, 2U completed a growth recapitalization, with its existing owners putting growth capital into the business alongside a refinancing of its current credit facilities.

The question worth asking is: why now, and what did they see?

2U operates edX, a global online learning platform originally co-founded by Harvard and MIT that now reaches more than 100 million people through over 5,300 programs with 250-plus institutional and enterprise partners. Employees from more than 60% of Fortune 500 companies use edX for professional development. To date, over 76,000 people have graduated from 2U-powered degree programs from leading institutions, including UC Berkeley, Howard University, and Georgetown. The company has been privately held since completing a financial reorganization in 2024, and Kees Bol has served as CEO since January 2025.

Lincoln International, which advised 2U on the transaction exclusively, described the refinancing outcome: extended credit maturities, improved capital structure, and financial flexibility to continue executing on 2U’s long-range plan. Managing Director Alex Stevenson said the deal “reflects the confidence of 2U’s owners in the long-term value of the business.”

Confidence in what, exactly? The AI workforce training market. Skills in AI-affected roles are evolving 66% faster than average according to PwC research, and IDC has estimated that unfilled AI skills gaps could cost the global economy $5.5 trillion. Universities and enterprises are both trying to solve that problem, and both are looking for platforms with the breadth and accreditation backing to do it credibly.

2U’s partnerships are designed for exactly that. IBM’s six technical microcredentials on edX train the engineers and data scientists who build AI systems. Microsoft’s CxO Edge program, launched in late 2025, targets the C-suite executives who need to move from AI pilots to enterprise-wide adoption, part of a Microsoft presence on edX that has drawn over 40,000 learners in the past six months alone.. Oxford’s Faculty of Law program addresses governance: what board members and legal advisors need to understand about AI liability, compliance, and fiduciary responsibility. UC Berkeley’s Master of Information and Data Science (MIDS) online program prepares learners to shape the future of AI and data science with human-centered values and focuses on solving the world’s most pressing data challenges. Each program exists because a specific employer community identified a specific gap.

That’s the differentiation investors are backing. Generic online courses are abundant. Programs designed in partnership with IBM, Microsoft, UC Berkeley, and Oxford’s Faculty of Law and delivered on a platform with proven Fortune 500 adoption are not.

Credentials earned on 2U’s edX platform carry the academic standing of the issuing partner institutions. Its programs span executive education, professional certificates, microcredentials, and accredited online degree programs, all powered by 2U’s infrastructure but conferred by partner universities and institutions with their own accreditation.

HolonIQ data puts the broader trend in context: microcredentials grew from 7% of global online program offerings in 2022 to 19% by 2025. The shift toward stackable, job-aligned credentials, in addition to traditional degrees,  is real and accelerating. The global online education market is projected to exceed $200 billion as that trend matures. 2U’s decision to build depth in short-form, employer-designed AI training aligns directly with where learner demand is heading.

None of this is abstract for the organizations that use edX at scale. When a company needs to certify 500 engineers on AI development, or prepare its entire C-suite for a board presentation on AI governance, the platform’s reach and credential quality both matter. A certification backed by IBM and a degree from institutions such as Berkeley carries weight with hiring managers in a way a generic online course does not.

The refinancing extends 2U’s ability to keep building that catalog and the partnerships behind it. Stevenson framed it as giving the management team “the financial foundation to keep executing on its mission.” The mission, under Bol’s leadership, is straightforward: help universities and enterprises close the AI skills gap by meeting learners where they are, at the pace the market demands.

The investors who contributed growth capital made a bet that a platform that reaches 100 million people and has 250-plus partners, including IBM, Microsoft, UC Berkeley, and Oxford in its program portfolio, is better positioned to close that gap than any platform that would need to build from scratch.

Media Contact:
Kees Bol
social@2u.com 

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Autonomous Resource Corporation and Oak Ridge National Laboratory Partner to Accelerate AI-Enabled Defense Manufacturing at National Scale

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Strategic partnership combines ORNL’s supercomputing and advanced manufacturing expertise with ARC’s autonomous production platform to address critical defense industrial base shortfalls

OAK RIDGE, Tenn. and NEW YORK, April 24, 2026 /PRNewswire/ — Autonomous Resource Corporation (ARC), a Delaware corporation, and Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy’s largest multi-program science and energy laboratory, today announced a Memorandum of Understanding (MOU) establishing a strategic public-private partnership to accelerate the on-demand manufacture of qualified, mission-critical components for U.S. national security applications.

The partnership combines ORNL’s HPC and manufacturing capability with ARC’s ARCNet distributed AI-manufacturing platform

The partnership — known as the Exascale Foundry — will combine ORNL’s computing and manufacturing capabilities with ARC’s ARCNet distributed manufacturing platform to create a closed-loop system for AI-enabled materials and manufacturing qualification and autonomous production at defense-relevant scale.

“The United States faces an urgent need to rebuild its manufacturing capacity for critical defense components,” said Bryan Wisk, CEO of ARC. “By combining ORNL’s world-leading computational, materials science, and manufacturing capabilities with our autonomous production infrastructure, we can compress manufacturing and qualification timelines from years to months and deliver manufactured parts at the volumes the warfighter needs.”

Partnership Highlights

Under the MOU, ARC will deploy advanced manufacturing equipment organized into seven production nodes connected to ORNL via ARC’s secure ARCNet infrastructure. ARC will expand capability through ORNL’s high-performance computing (HPC) resources.

ORNL will provide access to HPC expertise for simulation-driven materials characterization and qualification, along with technologies developed at the Manufacturing Demonstration Facility (MDF), the Department of Energy’s only large-scale, open-access advanced manufacturing facility. ORNL’s Peregrine AI software, which has analyzed over 1.9 million additive manufacturing layers, will be integrated into ARC’s production nodes for real-time adaptive control and quality assurance.

This partnership also supports DOE’s Genesis Mission, a national initiative to build the world’s most powerful scientific platform to accelerate discovery science, strengthen national security and drive energy innovation. ARC and ORNL’s collective capabilities will help reenvision advanced manufacturing and industrial productivity, accelerate defense production and qualification, and secure critical supply chain elements.

“ORNL’s advanced manufacturing and computing capabilities are uniquely positioned to help accelerate the transition of laboratory-proven technologies into production-scale defense manufacturing,” said Moe Khaleel, ORNL associate laboratory director for National Security Sciences. “Partnering with ARC ensures we are transitioning our research into real production outcomes.”

The initial implementation will focus on high-temperature nickel superalloy turbine components for autonomous air vehicle engines using metal binder jetting technology, directly addressing demonstrated production bottlenecks in the U.S. defense supply chain.

ORNL Chief Manufacturing Officer Craig Blue added, “This partnership exemplifies the type of relationship necessary to build and grow domestic supply chains for our national security.”

About Autonomous Resource Corporation

ARC is a New York–headquartered corporation building and operating an AI-enabled, autonomous manufacturing platform for national security and critical infrastructure applications. ARC’s Autonomous Resource Controller Network (ARCNet) connects distributed production cells into a secure, federated manufacturing grid capable of producing qualified components at scale. ARC’s leadership team brings deep experience across defense technology, capital markets, materials science, and additive manufacturing at production scale.

About Oak Ridge National Laboratory

Oak Ridge National Laboratory is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. DOE’s Manufacturing Demonstration Facility at ORNL partners with more than 300 companies, spurring over $5.5 billion in economic growth. ORNL is managed by UT-Battelle, LLC for the U.S. Department of Energy’s Office of Science.

Media Contacts:

ARC: Bryan Wisk, Chief Executive Officer | bryan@autonomousresource.com | 929-523-3953

ORNL: Eric Swanson, National Security Sciences Communications Lead | swansonej@ornl.gov | 865-206-5794

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SOURCE Autonomous Resource Corporation

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