SEPTEMBER - OCTOBER 2025HR TECH OUTLOOK9The best AI/ML teams thrive with a flexible platform for developing capabilities and well-governed, democratized data access, enabling rapid testing, iteration and ease of operationare critical considerations. Such constraints crystallize key considerations for almost all AI applications, the relationship between human and the AI and the need to provide "control surfaces" to technologies you build with AI that provide hard guarantees of compliance, safety and customer or user experience ­ not easy with a technology that is by definition probabilistic, rather than deterministic. In our products at Curinos we have made the setting of constraints, human review and approval workflows and rigorous audibility and observability to prove the constraints are met, a seamlessly integrated element to the bank customer experience. Our AI capabilities help people make good decisions from a bounded universe of acceptable ones, having a dramatic impact on the outcome of those decisions for both the bank and their customers.Fostering Innovation and GrowthA high-performing tech team needs a clear vision for the company's goals and clarity on individual career growth tied to that vision. The best AI/ML teams thrive with a flexible platform for developing capabilities and well-governed, democratized data access, enabling rapid testing, iteration and ease of operation. Poor platform choices can hinder innovation and create inefficiencies. It's crucial to prioritize creativity alongside operations to avoid stagnation. At Curinos, we foster this by hosting science-focused workshops for collaborative problem-solving and regular hackathons, encouraging diverse ideas from across the organization. This balance ensures innovation and growth in our AI/ML capabilities.Harnessing the Power of Large Language ModelsThe latest AI wave excels in understanding language--human, software code, music and more--through Large Language Models, which grasp concepts and their interrelations like humans. In online advertising, this enables dynamic creation and iteration of campaign content across media, aligning consumer responses with visual, spoken and written elements to enhance engagement. In location-based services, AI leverages descriptions, reviews and social media to refine recommendations, routing and timing based on user context. In medicine, Generative AI accelerates taxonomy modeling for diseases, treatments and outcomes, reducing human curation while improving associations, especially with domain-specific models, for better practices and fraud prevention.The Role of Patents in Advancing Quantum Optimization and AIIt's simple ­ patents help protect your ability to do business with your investments in innovation ­ for me as a technologist, they replace academic publication as a validated record of serial innovation. When we believe we have clarity on how to put into practice an idea that will give us a business advantage for years to come, we invest in protecting it. For early-stage products or lines of business this protection adds value in advance of significant commercial traction from the innovation ­ the intellectual property.The Future of Financial ServicesIn financial services, as in many consumer-facing industries, I think we are seeing the first wave of Generative AI-enabled capabilities pass through domains like customer service where Retrieval Augmented Generation patterns can really help enable conversational interaction with factual information and data, improving on previous Online Chat and IVR solutions, benefiting the customer experience and reducing cost. In the next wave, I expect the convergence of language intelligence with analytic intelligence, powering bank functions and the customer experience and bringing a bank's business objectives and the customer experience together in how bank products are structured, priced, delivered and proposed to customers, whether that customer is a consumer, small business or enterprise. There are some natural starting points here, in pricing optimization, customer-offer decisioning and driving branch performance, where the combination of digital and physical banking experiences for clients come together. Financial Services is also a heavily analytical industry in general and I expect the user experience bar and accessibility for non-technical personas of both application-specific and general-purpose analytics to advance dramatically within the next 12-18 months.Advice for Aspiring Technologists and Entrepreneurs in AI and Machine LearningSweat the details! The devil is in the details of the 20% from the 80/20 of going from a cute demo to having built a truly productized AI/ML capability; operations, optimization, observability, safety, governance and guardrails all come into play with a truly useful and scalable operationalized ML/AI solution.
< Page 8 | Page 10 >