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Yahoo
2 hours ago
- Yahoo
Alkami and INB to Share Strategies for Turning Financial Data into Marketing Results
Upcoming webinar to explore how financial institutions can overcome data barriers to deliver personalized, performance-driven campaigns PLANO, Texas, Aug. 7, 2025 /PRNewswire/ -- Alkami Technology, Inc. (Nasdaq: ALKT) ("Alkami"), a leading cloud-based digital banking solutions provider for financial institutions in the U.S., today announced an upcoming webinar titled "From Data Mess to Marketing Yes," scheduled for Wednesday, August 13, 2025, at 2:00 PM ET / 1:00 PM CT. The webinar will focus on how financial institutions can convert their data into measurable marketing outcomes. The session will feature speakers from Alkami and INB, offering results-oriented insights drawn from successful deposit gathering campaigns—including high-performing checking and certificate of deposit (CD) promotions. "Before partnering with Alkami, we had data—but no way to activate it. Now, our campaigns are smarter, faster to deploy, and tied directly to growth metrics. It's not just marketing, it's measurable impact," said Lindsay Van Zele, communications officer at INB. While most financial institutions have access to significant volumes of data, many still struggle to turn that information into effective, actionable, personalized marketing. For institutions with more advanced marketing maturity, the challenge has shifted from data access to applying insights in ways that drive behavior change and measurable results. The webinar will cover: How to extract actionable insights from core and third-party financial data Strategies to launch pre-built marketing campaigns that accelerate time-to-value Methods for powering platforms like HubSpot and Salesforce with enriched intelligence Techniques for tracking campaign return-on-investment (ROI) and optimizing ongoing performance "Many financial institutions are just beginning to unlock the full potential of their data," said Mark Leher, director of product management at Alkami. "This session is focused on helping institutions move from analysis to action—translating insights into outcomes that actually reach and resonate with account holders." Attendees will hear directly from the below experts: Lindsay Van Zele, communications officer, INB, National Association Alysse Hewell, vice president, director of marketing and communications, INB, National Association Mark Leher, director, product management, Alkami Marc Meoli, senior solution engineer, Alkami To register for the webinar, visit here. To learn more about Alkami's Digital Banking Platform, visit here. To learn more about Alkami's Data & Marketing Solution, visit here. Alkami has been certified by J.D. Power in 2024 and 2025 for providing "An Outstanding Mobile Banking Platform Experience."1 About AlkamiAlkami Technology, Inc. is a leading cloud-based digital banking solutions provider for financial institutions in the United States that enables clients to grow confidently, adapt quickly, and build thriving digital communities. Alkami helps clients transform through retail and business banking, onboarding and account opening, payment security, and data and marketing solutions. To learn more, visit About INBINB, N.A. is a privately owned national bank. Founded in 1999 in Springfield, IL, the bank offers both personal and commercial banking products and wealth services in Central Illinois and has a full-service branch in Tampa, FL. The bank also provides commercial banking services out of St. Louis, MO and Miami, FL. We Make Banking Easy. Member FDIC. To learn more, visit Media Relations ContactsVestedalkami@ Marla Power 2025 Mobile App Platform Certification Program℠ recognition is based on successful completion of an audit and exceeding a customer experience benchmark through a survey of recent servicing interactions. For more information, visit View original content to download multimedia: SOURCE Alkami Technology, Inc. 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
Forbes
3 hours ago
- Forbes
Predictive Maintenance: Five Ways To Enhance Data Quality
Illia Smoliienko, Chief Software Officer, Waites. More and more industries rely on real-time data analytics. In finance, AI algorithms analyze transactions. In energy, smart grid platforms balance supply and demand. In the industrial sector, predictive maintenance (PdM) powered by artificial intelligence is used to prevent equipment failures and reduce downtime. Continuous monitoring of equipment condition and vibration analysis helps prevent major breakdowns. Modern vibration diagnostics increasingly uses AI, but the accuracy of its conclusions—and whether a defect will turn into a serious malfunction—still depends on response speed and human expertise. That's why it's essential to design a system where analysts can deliver highly accurate results in a timely manner. In this article, I'll use examples from industrial analytics to explain what improves the quality of data analysis and why it's crucial to combine the precision of AI algorithms with hands-on human experience. People With Field Experience "Data analyst" is not an entry-level role. The quality of business decisions depends on their insights, and errors in data handling can cost millions. In many industries, the most effective analysts are those with hands-on field experience. For example, engineers who once oversaw processes on construction sites move on to analyze project data using building information modeling (BIM) systems. Professionals who spent years repairing machinery on the factory floor now work in computer-aided engineering (CAE), where they analyze part behavior in digital models and interpret data through the lens of their practical expertise. We hire vibration analysts who previously worked as maintenance engineers or vibration diagnosticians in industrial settings. Now, they operate in a digital environment, reading data streams from IIoT sensors, interpreting signals and making technical assessments without ever stepping into the plant. Distributed Teams In Different Countries If your company needs to respond to requests 24/7, there are two main ways to organize analyst workflows. One is to work from a single location in multiple shifts—a model often used by product-focused IT companies. However, if the role involves high responsibility, as it does with vibration analysts, night shifts aren't ideal. Disrupted circadian rhythms lead to faster mental fatigue, increasing the risk of errors in analysis—mistakes that can directly affect those relying on that data to make decisions. Human error during night shifts frequently causes industrial accidents. The second approach is a distributed team working across different time zones. This model suits industries where analysts' work impacts safety or critical operational processes. Our analysts operate in three different time zones, enabling round-the-clock equipment monitoring worldwide while each team works during their own daytime hours. Preliminary Conclusions System Today, practically every business talks about process optimization through AI. In predictive maintenance, it's about the efficiency of a process that can't be scaled manually. Analyzing and filtering signals that indicate defects would require hundreds of people. If you're currently working with a small data stream, instead of immediately implementing complex algorithms, you can use a two-tier analysis system: Junior analysts first filter out anomalous signals from the data set, while experienced specialists perform in-depth analysis and draw conclusions. This approach reduces the number of routine tasks for senior experts and allows juniors to learn from real cases. We introduced ML and AI algorithms when the data volume began to grow exponentially, automating the anomaly detection stage. Modern algorithms can identify defect types with 90% to 97% accuracy in some cases. However, they cannot replace analysts because they interpret data without considering operational context, such as changing equipment conditions. Besides equipment context, data quality plays a critical role in analysis accuracy. This depends not only on the development team but also on the client providing the data. In manufacturing analytics, poor maintenance of IIoT sensors often leads to low-quality data and delayed defect detection. Therefore, analytics quality depends on maintaining a strong data culture at all levels. A User-Friendly Tool For Analysts Analysts need a tool that organizes tasks and highlights priorities. If no existing solution fits your needs, you'll have to create one yourself or commission its development. For example, in PdM, the system should detect deviations from the norm and generate a prioritized task list. Whenever there are changes in equipment performance, all analysts receive push notifications, and when someone takes on a detected defect, the system records it. It's also important that the interface allows analysts to view not only current data but also historical information. Consider also the task distribution logic: Will tasks be assigned automatically by the system, or will analysts choose them themselves? In the latter case, there's a risk that people might pick easier cases and leave the more difficult ones to their colleagues. We developed a tool for analysts to work independently by combining equipment signal processing—spectral analysis—with task management in a single system. Learning Opportunities When a team grows professionally, it boosts the quality of analytics. From my experience, this happens through development in three key areas: • Regular Improvement Of Hard Skills: Organize lectures with guest speakers and encourage the team to get certified. This refreshes their knowledge and provides clear proof of their competence. • Internal Mentoring: Encourage colleagues to share their strengths, whether it's expertise with specific equipment or technologies or helpful automation tips. • Creating A Culture Of Questions: Set a clear rule: It's okay to ask when you don't understand, but making mistakes silently without trying to figure things out is not. If an error occurs, conduct a retrospective to identify its cause. This helps prevent similar issues in the future. Accurate analytics result from building a well-coordinated system that combines technology with specialists' practical experience. It's not a model that makes all decisions alone, but a thoughtful process from data analysis to action. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
4 hours ago
- Yahoo
Motor finance innovation in the spotlight at GlobalData Automotive Europe Conference 2025
Arena International has announced the launch of the GlobalData Automotive Europe Conference 2025, taking place on 15-16 October in Munich — Europe's hub for automotive and data-driven transformation. Under the theme 'Driving Automotive Innovation Through Data', this event will bring together top-tier executives and thought leaders from OEMs, Captives, Banks, Mobility Companies, Suppliers, and AI innovators to explore how data is revolutionising every aspect of the automotive value chain — including motor finance. As the industry transitions toward electrification, connected mobility, and autonomous vehicles, the conference will serve as a critical platform for motor finance professionals to assess how emerging trends and data technologies are reshaping vehicle ownership models, residual values, and asset lifecycle management. Motor finance stakeholders — captives, banks, and leasing companies — will gain exclusive insights into battery sector economics, global EV market forecasts and cross-border strategies for risk management. Key speakers include: Christoph Köhler, Manager Mobility Services, Porsche AG Yong Wang, Head of EU Power Swap Product Management, NIO Sam Adham, Head of Battery Materials, CRU Group Al Bedwell, Director, Global Powertrain, GlobalData plc Why motor finance leaders should attend: Elite speaker lineup: Hear from C-level executives representing Europe's leading Captives, OEMs, consultancies, and digital transformation specialists. Strategic networking: Engage with 200+ senior decision-makers across finance, technology, and automotive operations. Actionable insights: Learn from real-world data use cases, emerging EV battery market dynamics, and financial strategies for new mobility models. Sponsor opportunities: Position your brand in front of budget-holders and digital finance leaders driving transformation in motor lending and leasing. Germany: a fitting host Munich, at the heart of Germany's automotive and finance ecosystem, provides the perfect stage for this high-level event — supported by key German industry associations and home to many of Europe's largest carmakers and financial players. How to participate: Delegate registration is now open. Sponsorship packages are available for companies seeking high-impact visibility within the motor finance and automotive innovation community. Visit the official event website Press Contact:Kellee HalliburtonMarketing Manager, Arena International "Motor finance innovation in the spotlight at GlobalData Automotive Europe Conference 2025" was originally created and published by Motor Finance Online, 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
