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Dresner Advisory Publishes 2025 AI, Data Science, Machine Learning, and ModelOps Research

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Generative and Agentic AI Fuel a Wave of Interest, as Artificial Intelligence, Data Science, and Machine Learning Shift from Experimental to Strategic Enablers

NASHUA, N.H., Sept. 4, 2025 /PRNewswire/ — A large majority of survey respondents say artificial intelligence (AI) is taking a direct strategic or supporting role, sometimes driving the business, according to the 2025 AI, Data Science, and Machine Learning Market Study, part of the Dresner Advisory Wisdom of Crowds® series of research. 

AI, data science (DS), and machine learning (ML) include statistics, modeling, machine learning, neural networks, and data mining to analyze facts to make predictions about future or otherwise unknown events. The 12th edition study reflects the growing significance of AI, DS, and ML, as organizations seek to enhance operations, improve forecasting, and drive innovation.

The Dresner study shows current deployment of AI, DS, and ML is modest but broad, with predictions of strong future uptake. The most important use cases include demand forecasting, customer segmentation, and predictive maintenance.

“Most organizations report that AI has a direct or supporting role in their business, with investment largely driven by the need to solve inefficiencies, experiment, and prepare for disruption,” said Howard Dresner, founder and chief research officer at Dresner Advisory. “Momentum is building, and overall organizations are cautious but optimistic, advancing at various speeds toward more mature and pervasive use of AI, DS, and ML to drive business value.”

Dresner Advisory published a companion market study on ModelOps, the set of practices, processes, and technologies used to manage and operationalize machine learning models throughout their life cycle. ModelOps includes but is not limited to Machine Learning and Artificial Intelligence models including Large Language models (LLM) and less-complex analytical and decision-intelligence models.

The 4th annual ModelOps Market Study examines the management and governance of AI and machine learning models, and the operational priorities for maximizing the value of these technologies. ModelOps is essential for ensuring the efficiency and effectiveness of AI, data science, and agentic and generative AI initiatives, providing the framework for managing model life cycles, scalability, and performance.

“We see continued growth in the number and variety of models in production, but also persistent challenges with visibility, oversight, and ownership,” continued Howard Dresner. “The growing influence of agentic AI underscores the urgency of robust ModelOps practices, extending their importance beyond AI and machine learning to all analytical models. As adoption deepens, ModelOps will be central to ensuring adaptability, accountability, and value from models in production.”

Wisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Users in all roles and throughout all industries contributed to provide a complete view of realities, plans, and perceptions of the market.  For more information visit www.dresneradvisory.com.

About Dresner Advisory Services 
Dresner Advisory Services was formed by Howard Dresner, an independent analyst, author, lecturer, and business adviser. Dresner Advisory Services, LLC focuses on creating and sharing thought leadership for AI, Analytical Data infrastructure, Analytics and Business Intelligence (BI), Performance Management, ERP, and related areas.

Contact:
Danielle Guinebertiere
Dresner Advisory Services
978-254-5587
[email protected]

SOURCE Dresner Advisory Services



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Who is Shawn Shen? The Cambridge alumnus and ex-Meta scientist offering $2M to poach AI researchers

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Shawn Shen, co-founder and Chief Executive Officer of the artificial intelligence (AI) startup Memories.ai, has made headlines for offering compensation packages worth up to $2 million to attract researchers from top technology companies. In a recent interview with Business Insider, Shen explained that many scientists are leaving Meta, the parent company of Facebook, due to constant reorganisations and shifting priorities.“Meta is constantly doing reorganizations. Your manager and your goals can change every few months. For some researchers, it can be really frustrating and feel like a waste of time,” Shen told Business Insider, adding that this is a key reason why researchers are seeking roles at startups. He also cited Meta Chief Executive Officer Mark Zuckerberg’s philosophy that “the biggest risk is not taking any risks” as a motivation for his own move into entrepreneurship.With Memories.ai, a company developing AI capable of understanding and remembering visual data, Shen is aiming to build a niche team of elite researchers. His company has already recruited Chi-Hao Wu, a former Meta research scientist, as Chief AI Officer, and is in talks with other researchers from Meta’s Superintelligence Lab as well as Google DeepMind.

From full scholarships to Cambridge classrooms

Shen’s academic journey is rooted in engineering, supported consistently by merit-based scholarships. He studied at Dulwich College from 2013 to 2016 on a full scholarship, completing his A-Level qualifications.He then pursued higher education at the University of Cambridge, where he was awarded full scholarships throughout. Shen earned a Bachelor of Arts (BA) in Engineering (2016–2019), followed by a Master of Engineering (MEng) at Trinity College (2019–2020). He later continued at Cambridge as a Meta PhD Fellow, completing his Doctor of Philosophy (PhD) in Engineering between 2020 and 2023.

Early career: Internships in finance and research

Alongside his academic pursuits, Shen gained early experience through internships and analyst roles in finance. He worked as a Quantitative Research Summer Analyst at Killik & Co in London (2017) and as an Investment Banking Summer Analyst at Morgan Stanley in Shanghai (2018).Shen also interned as a Research Scientist at the Computational and Biological Learning Lab at the University of Cambridge (2019), building the foundations for his transition into advanced AI research.

From Meta’s Reality Labs to academia

After completing his PhD, Shen joined Meta (Reality Labs Research) in Redmond, Washington, as a Research Scientist (2022–2024). His time at Meta exposed him to cutting-edge work in generative AI, but also to the frustrations of frequent corporate restructuring. This experience eventually drove him toward building his own company.In April 2024, Shen began his academic career as an Assistant Professor at the University of Bristol, before launching Memories.ai in October 2024.

Betting on talent with $2M offers

Explaining his company’s aggressive hiring packages, Shen told Business Insider: “It’s because of the talent war that was started by Mark Zuckerberg. I used to work at Meta, and I speak with my former colleagues often about this. When I heard about their compensation packages, I was shocked — it’s really in the tens of millions range. But it shows that in this age, AI researchers who make the best models and stand at the frontier of technology are really worth this amount of money.”Shen noted that Memories.ai is looking to recruit three to five researchers in the next six months, followed by up to ten more within a year. The company is prioritising individuals willing to take a mix of equity and cash, with Shen emphasising that these recruits would be treated as founding members rather than employees.By betting heavily on talent, Shen believes Memories.ai will be in a strong position to secure additional funding and establish itself in the competitive AI landscape.His bold $2 million offers may raise eyebrows, but they also underline a larger truth: in today’s technology race, the fiercest competition is not for customers or capital, it’s for talent.





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JUPITER: Europe’s First Exascale Supercomputer Powers AI and Climate Research | Ukraine news

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The Jupiter supercomputer at the Jülich Research Centre, Germany, September 5, 2025.
Getty Images/INA FASSBENDER/AFP

As reported by the European Commission’s press service

At the Jülich Research Center in Germany, on September 5, the ceremonial opening of the supercomputer JUPITER took place – the first in Europe to surpass the exaflop performance threshold. The system is capable of performing more than one quintillion operations per second, according to the European Commission’s press service.

According to the EU, JUPITER runs entirely on renewable energy sources and features advanced cooling and heat disposal systems. It also topped the Green500 global energy-efficiency ranking.

The supercomputer is located on a site covering more than 2,300 square meters and comprises about 50 modular containers. It is currently the fourth-fastest supercomputer in the world.

JUPITER is capable of running high-resolution climate and meteorological models with kilometer-scale resolution, which allows more accurate forecasts of extreme events – from heat waves to floods.

Role in the European AI ecosystem and industrial developments

In addition, the system will form the backbone of the future European AI factory JAIF, which will train large language models and other generative technologies.

The investment in JUPITER amounts to about 500 million euros – a joint project of the EU and Germany under the EuroHPC programme. This is part of a broader strategy to build a network of AI gigafactories that will provide industry and science with the capabilities to develop new models and technologies.

It is expected that the deployment of JUPITER will strengthen European research-industrial initiatives and enhance the EU’s competitiveness on the global stage in the field of artificial intelligence and scientific developments.

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PH kicks off 2025 Development Policy Research Month on AI in governance

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THE Philippines cannot rely on new technology alone to thrive in the age of artificial intelligence. Strong governance policies must come first — this was the central call of the 2025 Development Policy Research Month (DPRM), which opened on Sept. 1 with a push for AI rules that reflect national realities.

“Policy research provides the guardrails that help governments adopt technology responsibly,” said PIDS president Dr. Philip Arnold Tuano. Without such guardrails, he warned, the benefits of AI may never outweigh the risks.

CONFERENCE HIGHLIGHT The 2025 Development Policy Research Month kicked off with a push for AI rules that reflect the country’s realities. PHOTO FROM PIDS

CONFERENCE HIGHLIGHT The 2025 Development Policy Research Month kicked off with a push for AI rules that reflect the country’s realities. PHOTO FROM PIDS

Established under Proclamation 247 (2002), DPRM highlights the role of policy research in shaping evidence-based strategies. This year’s theme, “Reimagining Governance in the Age of AI,” underscores that while AI offers tools for efficiency and transparency, policies must come first to address risks such as digital exclusion, bias, cybersecurity threats, and workforce displacement.

PIDS, as lead coordinator, works with an interagency steering committee that includes the BSP, CSC, DBM, DILG, legislative policy offices, PIA, PMS, and now the Department of Science and Technology, which joins for the first time, given its role in AI research and governance.

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The highlight is the 11th Annual Public Policy Conference on Sept. 18 at New World Hotel Makati, featuring global experts. Activities nationwide will amplify the campaign, supported by the hashtag #AIforGoodGovernance.

Learn more at https://dprm.pids.gov.ph.




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