Latest news with #CarolHamilton
Business Wire
17-07-2025
- Business
- Business Wire
Provenir Named a Strong Performer in 2025 AI Decisioning Platforms Report by Independent Research Firm
BUSINESS WIRE)-- Provenir, a global leader in AI risk decisioning software, today announced it has been recognized as a 'Strong Performer' in 'The Forrester Wave™: AI Decisioning Platforms, Q2 2025' report. Per the Forrester report, 'Provenir best fits customers who want an all-in-one decisioning solution that includes credit risk, fraud and identity management, collections, and customer management.' Forrester evaluated 15 top AI decisioning platform providers against 18 criteria, assessing Current Offering, Strategy, and Customer Feedback. Per the report, 'Provenir's strategy is to focus on the full credit decisioning lifecycle with prebuilt solutions built on top of the platform to optimize go-to-market resources. However, the platform is quite capable of handling any decisioning use case, giving the company the opportunity to diversify. The company provides solid implementation resources, aiding customer onboarding for enterprise clients. It also facilitates additional services, contributing to effective deployment of decisioning solutions.' The Provenir AI Decisioning Platform received the highest possible marks in both the cohesive experience and intuitive experience criteria. When looking at the platform capabilities, the Forrester report noted, 'Provenir excels in a cohesive user experience, delivering a unified interface with consistent design, as well as an intuitive user experience, boosting productivity for business and technical users.' The report also states, 'Provenir best fits customers who want an all-in-one decisioning solution that includes credit risk, fraud and identity management, collections, and customer management.' 'We are honored to be designated a Strong Performer in our inaugural placement in a Forrester Wave evaluation,' said Carol Hamilton, Chief Product Officer for Provenir. 'Too often organizations have primarily focused on risk mitigation in customer decisioning, while missing moments to build trust, loyalty, and lifetime value. But every interaction is a chance to both manage risk and unlock value in a hyper-personalized way. That balance is where modern AI decisioning excels, and this is exactly what we do at Provenir.' Provenir's AI Decisioning Platform combines data, decisioning, and decision intelligence to enable smarter, faster decisions across the entire customer lifecycle – from onboarding and application fraud to credit risk, customer management, and collections. Access The Forrester Wave™: AI Decisioning Platforms, Q2 2025 report here. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester's objectivity here. About Provenir Provenir helps banks, fintechs and financial services providers unlock the secret to smarter risk decisioning. Provenir's AI Decisioning Platform brings together the power of decisioning, data, and decision intelligence to drive smarter decisions. This unique offering gives organizations the ability to power decisioning innovation across the full customer lifecycle, driving improvements in the customer experience, best-in-class fraud prevention, access to financial services, business agility, and more. Provenir works with disruptive financial services organizations in more than 60 countries and processes more than 4 billion transactions annually.
Yahoo
22-06-2025
- Business
- Yahoo
Provenir's Carol Hamilton on credit risk decisioning, fraud prevention and reward
The financial services sector is facing an inflection point in 2025 and beyond says Carol Hamilton. And staying ahead is not just about managing credit risk and preventing fraud. Instead, it is about leveraging AI, better data orchestration and an end to fragmented decisioning strategies. But it means a lot more than just modernising decisioning systems. Getting risk decisioning right will not come from any isolated fix. Instead, there needs to be a change of strategy towards a holistic approach to credit risk decisioning and fraud prevention. And for that approach to work it means aligning data automation and decisioning processes to maximise impact. A reactive approach to risk management will not effectively combat fraud and manage credit risk. Put simply, a reactive approach is no longer enough. Financial institutions need to embrace a proactive, AI driven strategy that integrates risk decisioning across the entire customer life cycle. A successful approach includes real time, AI power decisioning, with AI driven models that continuously learn and adapt to new fraud patterns. 'It is a critical moment for a shift from a very reactive risk management approach to something much more intelligence driven, proactive and dynamic so that that credit risk is managed dynamically,' says Hamilton. Fraud and credit risk are often managed in separate silos, says Hamilton. The result is inefficiencies and missed insights. A unified decisioning approach enables better risk assessment, faster response times and enhanced customer experiences. Accordingly, financial institutions need to invest in unified decisioning platforms to eliminate silos, reduce inefficiencies and improve risk assessment accuracy. While financial service providers increasingly recognise that AI can enhance credit risk assessments, strengthen fraud detection and improve operational efficiency, that is only part of the equation. It is true that AI adoption is accelerating but poor data integration remains a significant barrier. The financial institutions that embrace this transformation will be better positioned to mitigate risks, drive growth and deliver superior customer experiences. The extent of the challenge facing the sector was highlighted by a global survey conducted by Provenir earlier this year. Key decision makers at financial services providers globally were surveyed to understand their risk decisioning and fraud challenges across the customer lifecycle, decisioning investment priorities, and AI opportunities. It revealed that nearly half of all financial services executives are struggling with managing credit risk and detecting and preventing fraud. The survey also disclosed that many are revamping their credit risk decisioning and fraud prevention strategies in 2025, with AI playing a prominent role. Nearly 60% say they find it difficult to deploy and maintain risk decisioning models. 55% of executives recognise the value of AI to make streamlined strategy decisions, and in its ability to provide AI-powered performance improvement recommendations. 37% say they struggle with effective data orchestration for application fraud prevention, specifically in not being able to easily ingest and integrate new data sources. 36% are challenged in using AI and machine learning for fraud prevention. Key priorities for customer and account management are real-time, event-driven decisioning (65%), eliminating friction across the customer lifecycle (44%), and increasing customer lifetime value (44%). Over half of respondents agree the biggest data challenge they face is being able to easily integrate data sources into decisioning processes. 'I would say that investment is definitely happening, and there are many more projects that are trying to get off the ground and start as well. It is the execution, though that remains the challenge. So we are seeing the investment, but I feel that AI is still going through a transition of organisations figuring that how they can adopt it in their business and make it effective.' Hamilton suggests that organisations should consider starting small and scaling smartly to mitigate risk and ensure measurable impact. That would mean starting with AI projects that offer a quick return on investment, such as credit scoring and automated customer decisioning, or maybe slightly less regulated areas such as fraud detection. A phased approach, focused on early wins, will build confidence in AI driven strategies while demonstrating tangible business values. 'US and Canadian banks are leading the charge in AI adoption, with nearly two thirds of them investing in AI and embedded intelligence now, higher than any other region. So that's a really positive sign, but integration does remain a challenge for the North American banks. 'Compliance and security concerns we do see higher in EMEA than other regions, with many of them calling that out as a barrier to AI adoption. The challenge for European banks is that while they're data rich they often struggle to orchestrate that together, to unlock the power of it. 'It is a critical moment for companies to act but I do think that it's a very positive sign that there's so much energy going into getting these projects off the ground to unify the decisioning, bring in AI and optimise data integration. 'The final point is that the discussion is often based on the premise of reducing risk and stopping the bad but we haven't really talked half as much as we could around the power to actually unlock new opportunities for innovation and growth as well for these organisations. 'Because if you really understand who you're doing business with and the threat or risk that they pose, you will find that where that's a small threat and a small risk, they could be a fantastic customer for you, that you want to put that time and energy into engaging with in the right way to drive value for them and your business.' That then is the challenge and the huge potential prize. AI enabling proactive engagement and tailored offers that drive loyalty and maximise customer value with AI powered decisioning models ensuring a more customer centric approach which can adapt dynamically to customer behaviour in real time. Eliminating unnecessary friction while maintaining strong risk controls is easy to summarise-harder to execute. Banks that can deliver smarter, faster and more customer centric experiences with AI and real time data and insights and leverage hyper personalisation to increase engagement and lifetime value, will be the winners. "Provenir's Carol Hamilton on credit risk decisioning, fraud prevention and reward" was originally created and published by Retail Banker International, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Associated Press
16-06-2025
- Health
- Associated Press
Hundreds of Cyclists to Ride Through Durham, NH, June 21–22, to Raise Funds for ALS Research
Durham, NH June 16, 2025 --( )-- On June 21, the streets of Durham, NH will once again fill with the energy and determination of hundreds of cyclists participating in the 23rd annual Tri-State Trek, a powerful and emotional bike ride raising funds for cutting-edge ALS research at the ALS Therapy Development Institute ( ALS TDI ). Founded in 2003 with just 16 riders, the Trek has grown into a beloved New England tradition expected to draw more than 400 participants this year. The weekend-long ride kicks off and concludes in Durham, looping through scenic routes in Massachusetts and Maine. With one- and two-day ride options ranging from 30 to 100 miles per day, the Trek is open to both avid cyclists and newcomers looking to support an vitally important cause – ending ALS. 'Whether you're an experienced cyclist or someone hopping on a road bike for the first time, the Tri-State Trek is all about community, compassion, and taking action against ALS,' said Carol Hamilton, Senior Vice President of Fundraising and Development at ALS TDI. 'People leave this event with a sense of purpose—and with a new family.' ALS, also known as Lou Gehrig's disease, is a progressive neurodegenerative condition with no known cure. The ALS Therapy Development Institute, based in Watertown, MA, is the world's most comprehensive nonprofit biotech focused 100% on discovering treatments for ALS. 'ALS is relentless. The average patient only lives three to five years after diagnosis,' said Dr. Fernando Vieira, CEO and Chief Scientific Officer of ALS TDI. 'Events like the Tri-State Trek fuel the research needed to bring real treatments to people living with ALS today.' While many riders have a personal connection to ALS, the Trek is open to all. Local residents are encouraged to cheer on riders, join as volunteers, or get involved virtually. The event offers extensive photo and interview opportunities with cyclists, families, and researchers who are committed to ending ALS. Media Opportunities: What: 23rd Annual Tri-State Trek When: June 21–22, 2025 (riders depart both mornings from Durham) Where: Start/finish line at University of New Hampshire, Durham, NH Visuals: Mass starts, team jerseys honoring loved ones, finish line celebrations, rider interviews Interviews Available: Local riders, ALS patients/families, ALS TDI researchers and leadership To learn more about the Tri-State Trek, visit . For media inquiries, ride-day access, or to schedule interviews in advance, please contact: Meghan Lawlor [email protected] | 978-729-2961 About the ALS Therapy Development Institute The ALS Therapy Development Institute (ALS TDI) and its researchers discover and develop potential treatments for ALS. It is the world's first and largest nonprofit biotech focused 100 percent on ALS research. Led by drug development experts and people with ALS, ALS TDI understands the urgent need to slow and stop this disease. Based in Watertown, MA, ALS TDI has more than 30 full-time, industry-trained drug development experts on staff. ALS TDI is internationally recognized as a leader in preclinical and translational ALS research, and partners with pharmaceutical companies and biotech organizations all around the world. Rated a four-star nonprofit on Charity Navigator, ALS TDI spends 87 cents of every dollar raised on finding effective treatments and cures for ALS. Visit for more information. Contact Information: ALS Therapy Development Institute Meghan Lawlor (978)729-2961 Contact via Email Read the full story here: Hundreds of Cyclists to Ride Through Durham, NH, June 21–22, to Raise Funds for ALS Research Press Release Distributed by
Associated Press
03-04-2025
- Business
- Associated Press
Provenir Named ‘Data Solution of the Year – Finance' in Fourth Consecutive Breakthrough Awards Win
Provenir, a global leader in AI risk decisioning software, today announced it has been named 'Data Solution of the Year - Finance' in the Data Breakthrough Awards program. This is the fourth year running that Provenir has been named the winner in the category, demonstrating the company's leadership in data orchestration for financial services. The Data Breakthrough Awards program honors the most innovative companies and technologies transforming the data landscape. The program is organized by Tech Breakthrough, an independent market intelligence organization that recognizes the top companies, technologies and products in the global data technology market today. 'Provenir is proud to be named 'Data Solution of the Year – Finance' for the fourth year running,' said Carol Hamilton, Chief Product Officer for Provenir. 'This honor validates our commitment to deliver a holistic, AI-powered approach that aligns data, automation, and decisioning analytics to maximize impact for our customers. With fraud becoming more sophisticated and credit risk remaining a top concern, financial services providers need a robust platform that simplifies data integration and optimized decisioning for enhanced customer experiences.' With end-to-end decisioning, the Provenir AI Decisioning Platform eliminates the need to integrate multiple platforms by providing cohesive, loyalty-building experiences across the customer journey that minimize risk and maximize customer lifetime value. A chief component of the platform is the Data Marketplace. The Provenir Data Marketplace brings together offerings from data vendors around the globe into one, easy-to-use cloud solution for data consumption. With fully managed pre-built integrations to more than 120 local and global data partners and a business user-friendly interface, the Data Marketplace makes the process of taking control of an organization's data strategy fast and simple. The Data Marketplace offers easy access to data sources covering open banking, KYC, fraud, credit risk, verification, social media, analytics, auto, affordability and more. With fully maintained API connections to both traditional and alternative data providers, financial institutions can access and use a huge selection of data in minutes — without the worry about ongoing maintenance. About Provenir Provenir helps banks, fintechs and financial services providers unlock the secret to smarter risk decisioning. Provenir's AI Decisioning Platform brings together the power of decisioning, data, and decision intelligence to drive smarter decisions. This unique offering gives organizations the ability to power decisioning innovation across the full customer lifecycle, driving improvements in the customer experience, best-in-class fraud prevention, access to financial services, business agility, and more. Provenir works with disruptive financial services organizations in more than 60 countries and processes more than 4 billion transactions annually. Kelly Poffenberger Lutz Public Relations and Marketing (for Provenir) 714.553.9071 SOURCE: Provenir Copyright Business Wire 2025. PUB: 04/03/2025 09:20 AM/DISC: 04/03/2025 09:20 AM
