AI Amp'd Biz Intel: Perils & Particulars for Top Data Driver
A glut of new sources and types of alternative data is driving today’s R&D, marketing, risk analysis, investment and other key business processes. Unlike traditional data made available by press releases, management presentations, analyst predictions, financial exchanges and indexes, SEC filings, financial statements, corporate filings and other well-entrenched mainstream sources, today’s breed of AI-powered alternative data sets are being compiled from wide ranging and disparate sources. However procured, one thing is certain: companies that are slow to use alternative data expose themselves to extreme opportunity loss at best and operational peril at worst--addressed in the topics list bulleted below. Amid the preconditions and complexities involved with attaining and aptly utilizing alt data, field expert Julia Valentine, Managing Partner at professional services firm AlphaMille (bio here), is available for interviews and editorials on a myriad of germane topics, including (but not limited to) the following:
- Difficulties and outright obstacles collecting and analyzing alternative data sets
- Challenges plaguing processes for incorporating alternative data into mission-critical market research models
- Using multi-modal AI to collect data that is unavailable through existing data providers
- 9 steps for starting or enhancing an alternative data platform
- 5-step alt data implementation model for fast-tracked value creation
- How alt data intel is driving projection activities: predictive and algorithmic modeling; demand and trend forecasting; lead generation; competitive intelligence +
- Role of AI tools such as ML and Natural Language Processing (NLP) for analyzing alternative data, unlocking its insights and value and boosting the growth of these assets
- Ways AI and machine learning-enabled alternative data analytics are amping up operations (like faster and more informed decisions about innovation, M&A and partnerships, innovation, etc.)
- Ways to use alternative data to derive proprietary real-time signals providing alternative viewpoints and unforeseen insights
- How alt data goes beyond standard financial data to understand company performance, market dynamics or consumer behavior
- Key considerations for integrating new solutions with existing infrastructure (rapid and efficient onboarding of data sources; combining structured, semi-structured and unstructured data sets; data preparation and normalization, etc.)
- Data mastering leveraging the latest open-source technologies with capabilities that far exceed anything possible with existing legacy systems
- Top alt data procurement types – how (and from where) today’s alternative data is being amassed ... and which are the most used
- How companies are actively expanding their informational advantage by incorporating alt data into their risk, R&D, investment and other key processes
- The macro-economic upside of alternative data assets spurring extreme growth worldwide across practically every industry sector (research & statistics)
About Julia Valentine:AlphaMille Managing Partner Julia Valentine is a solution-focused FinTech Advisor to boards and management teams. Throughout her executive career, Ms. Valentine has held leadership positions at JPMorgan Chase, D. E. Shaw and Mousse Partners, one of the largest family offices in the world. As a Vice President at JPMorgan Chase, Ms. Valentine led some of the bank’s key technology projects, including the implementation of the global Equity Derivative portfolio into the Value-at-Risk system, the implementation of the Program Trading solution, and saving $4.5M annually on risk infrastructure through automation process re-engineering. Ms. Valentine has extensive new product development experience in the areas of retail, private and investment banking. She served as the Vice President of New Business Initiatives at JPMorgan Chase. The products she launched generated $70M annually. Ms. Valentine also served as the Chief Technology and Operations Officer at the $110Bn WI pension fund. With extensive experience in effectively managing global teams in developed and emerging markets, Ms. Valentine is a value-added advisor for FinTech firms requiring expert assistance with business strategy, new product offerings, strategic partnerships, and investments in technology and operations that help banks modernize and serve the digital natives. Her broad areas of practice include Technology & Operations assessment, technical architecture, system selection and implementation, vendor outsourcing, building hybrid technology teams, cloud strategy, cybersecurity, digital transformation, change management, data management, data science, ML/AI, RPA, blockchain, process optimization and governance. Ms. Valentine holds an MBA from Columbia University and a Bachelor of Science in Economics and Finance from the New York University Stern School of Business, magna cum laude.