Albany Beck’s Post

Happy Friday! Check out some pearls of wisdom from one of my favorite technologists and colleagues from the better part of the last decade in Alfredo Rizzo! With AI handling routine inquiries, agents now receive only the difficult issues that inherently take more time. Organizations need to rethink how they measure customer service, such as by how much work the customer had to do to get their problem solved.” – TTEC Digital and TTEC's CTO, Alfredo Rizzo Read more in Harvard Business Review's Analytic Services report: https://ttecd.co/3PonOjs

Artificial intelligence has moved far beyond chatbots and recommendation engines to solve highly specific operational challenges that most teams never thought to automate. We deliver 22 real-world implementations in which businesses applied AI to unconventional problems, from enforcing carbon budgets in software releases to detecting relationship drift before client escalation, and include insights from expert professionals who deployed these solutions. Learn More: https://lnkd.in/gjSevqwi

Private credit continues to reshape capital markets — and this is exactly the kind of practitioner-led dialogue the industry needs. This first GICP Annual Conference reflects how far the Global Institute of Credit Professionals has grown in a short period — building a global community focused on advancing capability and supporting the evolving needs of the credit market. The conference brings together leading voices to share practical insights on direct lending, asset-based finance, fund structures, and the growing role of AI in credit decision-making. A sincere thank you to our speakers for contributing their time, expertise, and real-world perspective — it’s what makes this discussion valuable. If you’re working in or around private credit, I’d encourage you to join us. #PrivateCredit #CreditMarkets #AssetManagement #FinancialServices #AI #DirectLending #AssetBasedFinance #GICP

We kept hearing a similar pattern from teams building AI products and research platforms: integration takes longer than planned, data quality issues surface downstream, and what’s shown in demos doesn’t always match reality. So we put together the Financial data buyer’s guide. The questions, red flags, and checklists are relevant for any vendor in this space, including Quartr. If you're evaluating financial data and AI infrastructure, you might find this useful. Get your copy here: https://lnkd.in/djXVmjQ7

🤐 Want to see something cool? 🚀 We're very excited to announce the latest feature coming to the SustainIQ platform this May. 📷 Our AI Document Scanner instantly extracts, and organises data from documents and receipts saving hours on manual entry and boosting ESG reporting accuracy! To learn more and to arrange a demo 👉 https://hubs.la/Q048cL7l0

Heading to New York next week for the AI in Finance Summit by RE•WORK with the Montrose Software team. The theme this year is bridging research and real-world application - and that gap is exactly where the most interesting conversations happen. Finance has no shortage of Data, AI ideas and experiments. What it still needs is more of them crossing into Valuable Applications used daily and putting value in front of real users - not in three years, but now. In my experience, the model is rarely the bottleneck. The way you work is. How you get AI safely into the hands of the people who actually need it in a timely fashion - that's where the real work happens. Find us at the Montrose Software booth. 👋

⏳ Spots are still open for next week's webinar, and this one is worth clearing your calendar for. On Tuesday 31 March at 12pm BST, our CEO Joseph Twigg sits down with Yawwani Gunawardana (PhD), Group Head of AI at Quilter, and Myrto (Myrsini) A., Head of COO Strategy & Innovation at Royal London, to talk about what AI adoption looks like inside major financial institutions right now. Boards are asking for strategy. Compliance teams want confidence. Front-line teams want to know what this means for how they work day to day. And while almost every firm is experimenting with AI in some form, far fewer are turning that experimentation into consistent, measurable impact. That gap is exactly what this conversation is designed to address. If you're working through how to move your firm from pilot to progress, this is the session for you. Save your spot: https://hubs.la/Q048ztnj0

Really enjoyed this discussion with Sajli Beqiri What stood out most is how critical data integration has become, not just connecting systems, but creating a unified, real-time foundation that AI can actually act on. Without that, decisioning stays fragmented and reactive. A moment from the conversation 👇

We kept hearing the same thing from teams building AI products and research platforms: integration takes longer than expected, data quality breaks downstream, and what's promised in demos doesn’t always match reality So we wrote the Financial data buyer's guide. The questions, red flags, and checklists apply to any vendor in this market, including Quartr. If you're evaluating financial data and AI infrastructure, you might find this useful. Get your copy here: https://lnkd.in/d3EPybgM

We kept hearing the same thing from teams building AI products and research platforms: integration takes longer than expected, data quality breaks downstream, and what's promised in demos doesn’t always match reality So we wrote the Financial data buyer's guide. The questions, red flags, and checklists apply to any vendor in this market, including Quartr. If you're evaluating financial data and AI infrastructure, you might find this useful. Get your copy here: https://lnkd.in/d7qRsZ3j