Connect with us

AI Research

AI tool transforms access to UKWIR research

Published

on


In a period of unprecedented change and scrutiny for the UK water sector, UK Water Industry Research (UKWIR) has announced a significant advancement in accessing its critical water research, with the launch of a new AI search tool. 

This initiative directly supports the recommendations of the recently published Independent Water Commission (IWC) final report, which highlighted the crucial role of collaborative, evidence-based research in navigating the sector’s profound transformation.

Mike Rose

“At this pivotal moment, UKWIR is calling for even greater collaboration across the entire water sector, including its supply chain, and leading academic institutions,” said Mike Rose, UKWIR chief executive. “It is extremely positive that the Independent Water Commission’s report directly identified UKWIR as playing a ‘key role’ in driving collaboration between the industry, research institutions, and academia. This endorsement underscores the vital role we play in supporting innovation and knowledge transfer.”

The IWC report emphasises the need for a resilient, sustainable and trusted water future. UKWIR’s new AI search function is a direct response to this call, providing organisations and stakeholders with rapid, cutting-edge research to inform policy and investment decisions during this critical period.

“As the provider of impartial, science-based data, UKWIR stands ready to work closely with regulators, government, private businesses, and all other interested parties to ensure that policy and investment decisions are informed by the best available evidence, leading to a resilient, sustainable, and trusted water future for all.

“The coming period marks a profound shift for the UK water sector, and UKWIR is fully committed to supporting our members and the wider industry every step of the way. We are well placed to accelerate our collaborative research efforts, scaling to deliver vital evidence, and support the knowledge exchange needed to navigate this transition successfully. Together, we can build a water future that truly serves customers, protects our environment, and restores public confidence.”

Rapid access to vital research

Historically, navigating the wealth of water research UKWIR has available online could be time-consuming, particularly when rapid, informed decision-making is required. To speed up this process and empower the industry with readily accessible knowledge, UKWIR has embarked on a project that uses artificial intelligence (AI) with large language models to facilitate better access to its vital water research.

The project was spearheaded by UKWIR’s office manager Carol Ham, along with UKWIR’s research and communications co-ordinator Freya Caldwell.

“We put user experience at the heart of the design process when creating our new AI search function,” explained Caldwell. “A truly effective research platform needed to be intuitive, accessible, and capable of delivering robust and highly relevant results quickly, especially as the sector grapples with significant challenges and opportunities.”

“This free tool allows all stakeholders, members and non-members alike, to engage with UKWIR’s cutting-edge water research more efficiently. Just as importantly, users need to trust the information generated – which is why our source materials are always linked to provide complete transparency and traceability,” added Ham.

This transparency is crucial for ensuring that policy and investment decisions are built on a solid foundation of reliable data.

‘ChatGPT’ for the water sector

The bespoke AI search tool was created in collaboration with web developer Webree. It sits on the publication search page of UKWIR’s website, and unlike general-purpose AI models like ChatGPT or DeepSeek, UKWIR’s tool is hosted onsite and trained exclusively on UKWIR’s own library of reports and tools.

This focused training, using a highly customisable Llama large language model, which was chosen for its prevalence in scientific research, ensures the tool delivers highly relevant and accurate results, tailored specifically to the unique needs of the water sector. Meanwhile, the AI continuously learns and improves with every interaction, ensuring its continued relevance in a rapidly evolving landscape.

The search tool offers two distinct functions:

  • Contextual search: Users can ask questions in a conversational manner, for example – ‘What’s the best method of removing coliforms from drinking water?’ – and receive a list of relevant reports with specific page references.
  • Generative response: Acting like a ‘ChatGPT for water research’, the search tool pulls together information from multiple reports to provide concise summaries. Users can also specify the level of detail required, for example, asking for lists of pros and cons, or prioritised methods.

UKWIR’s team believes this could be a world-first for water research, and is sharing the findings, progress and learnings with the Global Water Research Coalition (GWRC), of which UKWIR is a member, fostering international collaboration in this critical area.

Beyond the AI search tool, in April 2025 UKWIR launched a redesigned website. Based on extensive user research, the new site boasts a cleaner, more navigable interface – which the research organisation says is just the beginning of a continuous journey to enhance its digital capabilities and support the water sector’s own digital transformation, in line with the ambitious goals set out in the IWC report.



Source link

AI Research

StockGro launches AI stock research engine for retail investors

Published

on


By Vriti Gothi

Today

  • AI
  • Cross Border Payments
  • Digital Lending

Stockgro

StockGro, has launched of Stoxo, an AI-powered stock-market research engine designed exclusively for retail investors to bridge the gap between sophisticated market intelligence and everyday investors.

Stoxo harnesses advanced artificial intelligence to transform the way retail participants access, interpret, and act on market information. With its ability to analyse real-time trends, compare stocks across multiple parameters, and deliver actionable insights in an intuitive format, the platform offers retail investors a level of research capability once reserved for institutional players. Developed with an emphasis on accessibility and user-friendly design, Stoxo ensures that complex financial data is presented with clarity, empowering users to make confident, informed investment decisions.

The introduction of Stoxo positions StockGro at the forefront of India’s rapidly evolving investment ecosystem. The platform’s AI-driven architecture is built for scalability, enabling it to adapt seamlessly to shifting market conditions while maintaining the speed and precision required in modern trading environments. For customers, the impact is immediate greater transparency, enhanced decision-making power, and the ability to participate in the markets with a degree of insight previously out of reach for many retail investors.

Beyond individual benefit, Stoxo represents a step forward for the broader financial sector by fostering inclusivity and boosting retail participation. By providing institutional-grade research capabilities in a digital-first, user-friendly environment, StockGro is advancing financial literacy and enabling more Indians to take an active role in wealth creation.

With the launch of Stoxo, StockGro continues to redefine the boundaries of FinTech innovation, merging advanced technology with a deep understanding of investor needs to shape a more informed, empowered, and inclusive investing future for India.

Previous Article

Brex gets EU payment licence to expand across Europe

Read More


IBSi FinTech Journal

  • Most trusted FinTech journal since 1991
  • Digital monthly issue
  • 60+ pages of research, analysis, interviews, opinions, and rankings
  • Global coverage


Subscribe Now



Source link

Continue Reading

AI Research

Did Bill Gates Predict GPT-5’s Disappointment Before Launch?

Published

on


There had been a lot of hype and anticipation building around GPT-5 prior to its recent launch. OpenAI touted the tool as the smartest AI model while comparing it to an entire team of PhD-level experts. GPT-5 ships with a plethora of next-gen features across a wide range of categories, including coding, writing, and medicine.

The ChatGPT maker’s CEO, Sam Altman, previously claimed that something “smarter than the smartest person you know” will soon be running on a device in your pocket, potentially referring to GPT-5. However, the AI firm has received backlash from users following the model’s launch and its abrupt decision to deprecate the model’s predecessors.





Source link

Continue Reading

AI Research

Better Artificial Intelligence Stock: ASML vs. AMD

Published

on


ASML and AMD are pivotal players in the booming AI market, helping both to see strong sales so far this year.

Artificial intelligence (AI) remains a hot area to invest in, as seen in Nvidia‘s share price, which is up over 30% this year through Aug. 6. Two AI businesses to consider are ASML Holding (ASML 1.33%) and Advanced Micro Devices (AMD 0.17%), since they provide key hardware to the industry.

The former makes cutting-edge lithography machines, which are necessary for producing the advanced microchips that power AI systems. AMD, one of Nvidia’s top competitors, sells AI chips to cloud computing companies such as Microsoft.

ASML and AMD are both strong businesses. But determining which is a better AI investment isn’t simple. So let’s evaluate them in more detail.

Image source: Getty Images.

A look into ASML

ASML’s lithography equipment is essential for manufacturing AI microchips because the technology demands immense computing power. This necessitates shrinking chip components to minuscule dimensions. For instance, a microchip the size of your fingernail contains billions of transistors. ASML’s machines support this.

Although the Dutch company plays an important role in AI, its stock has struggled in 2025, remaining essentially flat through Aug. 6. Part of this is because management anticipates economic uncertainty ahead as a result of factors such as President Donald Trump’s aggressive tariff policies.

Even so, ASML expects 2025 sales to rise 15% over 2024’s 28.3 billion euros ($33 billion). This is significant since 2024’s revenue represents only a 2.6% year-over-year increase. And so far this year, the company is doing well.

Through two quarters, revenue stood at $18 billion, up from the prior year’s $13.4 billion. Operating income rose to $5.8 billion from 2024’s $3.7 billion. This robust growth resulted in net income of $5.4 billion, a strong increase over the previous year’s $3.3 billion.

The excellent first-half results were tempered by a third-quarter revenue forecast between $8.6 billion and $9.2 billion. This outlook, when compared to the prior year’s sales of $8.9 billion, suggests the current trend of strong year-over-year growth may be slowing down, which contributed to ASML’s tepid stock performance.

How AMD is faring

Like rival Nvidia, AMD stock is having a stellar year. Shares are up 35% in 2025 through Aug. 6. This performance is understandable following the company’s second-quarter earnings results. The quarter’s revenue reached a record $7.7 billion, a 32% year-over-year increase.

CEO Lisa Su said, “We are seeing robust demand across our computing and AI product portfolio and are well positioned to deliver significant growth in the second half of the year.” In that second half, AMD expects revenue of $8.7 billion, a strong increase over the previous year’s $6.8 billion.

Despite the sales growth, AMD exited the second quarter with an operating loss of $134 million compared to operating income of $269 million in the previous year. The substantial drop was due to new U.S. government restrictions introduced earlier this year on the sale of AI chips to China. As a result, AMD could not sell chips it had intended for Chinese customers, forcing the company to write off that inventory by $800 million.

Yet this makes its second-quarter sales growth all the more impressive. In the quarter, net income was $872 million, up 229% year over year. Consequently, diluted earnings per share soared 238% to $0.54 in a boon to shareholders.

AMD is working to get government approval to sell AI chips to China again. When that OK is obtained, the company is in a position to deliver more outsize sales growth.

Deciding between ASML and AMD

AMD’s outstanding performance, its anticipated third-quarter revenue growth, and an eventual return of sales to China point to it being the superior AI stock versus ASML.

However, an important consideration is share price valuation. The price-to-earnings ratio (P/E) tells you how much investors are willing to pay for a dollar’s worth of earnings based on the trailing 12 months.

ASML PE Ratio Chart

Data by YCharts.

The top chart shows ASML’s P/E ratio has declined over the past year, indicating its stock’s valuation has improved. Compared to AMD’s recently rising earnings multiple, as seen in the bottom chart, ASML shares look like a bargain.

ASML’s short-term sales may slow due to the current macroeconomic uncertainty, but over the long run, it’s likely to benefit from the rise of AI. The company sees the technology as a significant chance for growth in semiconductors, similar to previous opportunities like PCs, the internet, and smartphones.

Industry forecasts support ASML’s perspective. The AI sector is projected to grow from $244 billion in 2025 to $1 trillion by 2031. While this market growth is a tailwind for both companies, ASML’s attractive valuation makes it look like the more compelling AI stock to buy right now.

Robert Izquierdo has positions in ASML, Advanced Micro Devices, Microsoft, and Nvidia. The Motley Fool has positions in and recommends ASML, Advanced Micro Devices, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



Source link

Continue Reading

Trending